When Apps Get Your Medical Data, Your Privacy May Go With It - The New York Times

By Natasha Singer


 Medical groups are warning that new federal data-sharing rules, enabling people to get their health records through a smartphone, could lead to invasions of privacy.

Apple’s Health Records app lets people send a subset of their medical data to their iPhones from more than 300 health centers.

Americans may soon be able to get their medical records through smartphone apps as easily as they order takeout food from Seamless or catch a ride from Lyft.

But prominent medical organizations are warning that patient data-sharing with apps could facilitate invasions of privacy — and they are fighting the change.

The battle stems from landmark medical information-sharing rules that the federal government is now working to complete. The rules will for the first time require health providers to send medical information to third-party apps, like Apple’s Health Records after a patient has authorized the data exchange. The regulations, proposed this year by the Department of Health and Human Services, are intended to make it easier for people to see their medical records, manage their illnesses and understand their treatment choices.

Yet groups including the American Medical Association and the American College of Obstetricians and Gynecologists warned regulators in May that people who authorized consumer apps to retrieve their medical records could open themselves up to serious data abuses. Federal privacy protections, which limit how health providers and insurers may use and share medical records, no longer apply once patients transfer their data to consumer apps.

Tech executives are promoting data-sharing in health care. From left, Taha Kass-Hout of Amazon, Aashima Gupta of Google and Peter Lee of Microsoft attended a conference in July for Medicare’s Blue Button system.CreditMicrosoft

Without federal restrictions in place, the groups argued, consumer apps would be free to share or sell sensitive details like a patient’s prescription drug history. And some warned that the spread of such personal medical information could lead to higher insurance rates or job discrimination.

“Patients simply may not realize that their genetic, reproductive health, substance abuse disorder, mental health information can be used in ways that could ultimately limit their access to health insurance, life insurance or even be disclosed to their employers,” said Dr. Jesse M. Ehrenfeld, an anesthesiologist who is the chair of the American Medical Association’s board. “Patient privacy can’t be retrieved once it’s lost.”

There are now many electronic medical records that allow smartphone access, such as Epic (MyChart), DrChrono, Kaiser and countless others.  When retrieving medical records directly via a desktop computer your records are secure. For EHRs that are HIPAA compliant, the vendor must show compliance for desktop retrieval.   If you are using a smartphone and the app provided by the institution it should also be HIPAA compliant.

Dr. Don Rucker, the federal health department’s national coordinator for health information technology, said that allowing people convenient access to their medical data would help them better manage their health, seek second opinions and understand medical costs. He said the idea was to treat medicine as a consumer service, so people can shop for doctors and insurers on their smartphones as easily as they pay bills, check bus schedules or buy plane tickets.

The new rules are emerging just as Amazon, Apple, Google, and Microsoft are racing to capitalize on health data and capture a bigger slice of the health care market. Opening the floodgates on patient records now, Dr. Rucker said, could help tech giants and small app makers alike develop novel consumer health products.

The regulations are part of a government effort to push health providers to use and share electronic health records. Regulators have long hoped that centralizing medical data online would let doctors get a fuller, more accurate picture of patient health and help people make more informed medical choices, with the promise of better health outcomes.

In reality, digital health records have been cumbersome for many physicians to use and difficult for many patients to retrieve.

Americans have had the right to obtain copies of their medical records since 2000 under the federal Health Insurance Portability and Accountability Act, known as HIPAA. But many health providers still send medical records by fax or require patients to pick up a paper or DVD copies of their files.

The new regulations are intended to banish such bureaucratic hurdles.

Dr. Rucker said it was self-serving for physicians and hospitals, which may benefit financially from keeping patients and their data captive, to play up privacy concerns.

“The moment our data goes into a consumer health tech solution, we have no rights,” said Andrea Downing, a data rights advocate for people with hereditary cancers. “Without meaningful protections or transparency on how data is shared, it could be used by a recruiter to deny us jobs,” or by an insurer to deny coverage.

When Apps Get Your Medical Data, Your Privacy May Go With It - The New York Times:

Doctors more likely to prescribe opioids later in the day — or if running late

Author information: Hannah T. Neprash, PhD1; Michael L. Barnett, MD, MS2,3
Author affiliations: 
1Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis
2Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
3Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts



Physicians were more likely to prescribe opioids later in the day and when appointments were running behind schedule.

After seeing dozens of patients in a hectic and long day in the clinic, when a doctor is faced with another patient in pain, it may be easiest to prescribe opioids and move on to the next one. New research suggests that doctors who practice with this habit could be contributing to the opioid epidemic.

A study published in JAMA Network Open on Friday reveals that physicians were more likely to prescribe opioids later in the day and when appointments were running behind schedule.

“Physicians play a crucial role in the opioid epidemic and it’s important to find the factors that drive decisions to prescribe opioids,” said Hannah Neprash, an assistant professor of health policy and management at the University of Minnesota and the study’s lead investigator. “Many studies have looked at looked at differences in prescribing patterns between physicians but few have looked at variation within physicians.”

The study utilized claims and electronic health data in 2017 for 678,319 patients with new pain who saw 5,603 physicians at health care clinics. The patients’ complaints ranged from back pain and headaches to muscle and joint aches. The researchers looked at the order of appointments and whether an appointment started at its scheduled time. Opioid prescriptions were compared to prescriptions of non-steroidal anti-inflammatory drugs and physical therapy.

When working with patients in pain who want opioids, offering them alternative therapies such as NSAIDs or physical therapy can require time-consuming discussions, Neprash said. “Prescribing opioids may be the quick fix when they do not have enough time to discuss non-opioid options.”

In 2017 there was six times the number of opioid-related deaths compared to 1999. While much of the opioid epidemic is due to illicit drug use, prescription opioids still play a large role. The authors note that if prescribing practices remained constant throughout the day, 4,459 opioid prescriptions would not have been written in 2017.

The study draws attention to demands placed on doctors who are incentivized to see as many patients as possible. The authors recommend protocols to guard against physician fatigue, arguing that if time pressures are affecting opioid prescriptions, other major medical decisions could also be at risk.
This should come as no surprise to a clinician.  Pain is bad, and immediate relief is wanted by the patient and physician.  Prescribing a pill gratifies both doctor and patient rewarding the encounter clinically, and gratifying a fee for service (pain relief). In today's medical environment satisfaction surveys are supreme. Health insurance companies and plans regularly survey patient's satisfaction quotients based on many subjective metrics.

Dr. Mark Linzer, director of the Office of Professional Worklife at Hennepin Healthcare in Minneapolis, said adding more clinical team members, such as physician assistants and nurse practitioners, could help diffuse the workload of the day and allow clinicians to spend more time with patients. He also proposed making individual visits longer for certain patients in order to provide the time needed to address pain and other sensitive medical problems.

“I suspect this is the tip of the iceberg: that time pressure has numerous adverse consequences, and that these poor outcomes could be attenuated by providing the time that complex patients (including those with acute and chronic pain) need with their clinicians,” said Linzer, who was not involved in the study.

“The conversation that avoids narcotics just takes time,” he said
Was the doctor on time?
Was the staff courteous?
Are you satisfied with the results of your encounter?
How long did you have to wait?
Would you recommend this doctor to a friend or family member?

None of these questions ask for an objective response. None of them are measuring the real quality of care (ie, clinician accuracy).  In most cases, patients are incompetent in assessing their doctor's clinical competence.

Worse than that are newer measures of supposed physician competence, MOC (maintenance of competence) (taken five to ten years after initial board certification). Many insurers now list whether a doctor is maintaining MOCs.  These tests and certifications reveal no correlation of results, patient satisfaction, nor a reduction in medico-legal events.  It may set a totally irrelevant and inaccurate measure of physician quality of care.




Doctors more likely to prescribe opioids later in the day — or if running late:

Physician Incomes Up in 2018, but Productivity Stagnant: AMGA

Are physicians maxed out?  The incidence of depression, frustration and burnout have been increasing. MGMA, an association for medical consultants just released a study from 2018 that harbors a fact. While physician compensation has risen, productivity has not increased.

"Data from this year's survey shows compensation is increasing without an equivalent increase in wRVU [work relative value unit] production for many specialties. This trend is causing organizations to absorb additional compensation expenses without balancing revenue from production increases," said Fred Horton, MHA, president of AMGA Consulting, the association's consulting arm, in a news release.

The AMGA survey found that in 2018, overall physician compensation increased by a median of 2.92%, compared to a 0.89% increase the previous year. Productivity increased by 0.29%, compared to a 1.63% decline in 2017. Compensation per wRVU rose 3.64%, slightly more than the 3.09% increase the prior year.

In primary care — including family medicine, internal medicine, and pediatrics — median compensation was up 4.91%, a significant increase from 0.76% the previous year. Although this was the largest jump in compensation in several years, productivity was flat, with wRVUs increasing by only 0.21% in 2018. As a result, the median compensation per wRVU increased 3.57%.

AMGA's report also presents median compensation and productivity statistics for 2014–2018. These figures reveal that although primary care wRVUs were fairly flat during that period, compensation for family physicians and internists increased more than in most other specialties.

Family doctors' productivity increased by 3.7% during the 4-year period, while their compensation shot up 15%. Similarly, median wRVUs for internists barely budged, yet their compensation increased by 13.8%.

Family doctors or primary care physicians (PCPs) are already maxed out in terms of patient volume. Their increase in income is due to several factors, a readjustment of CPT codes for visits, d-emphasizing procedural CPT codes. PCPs do fewer procedures than specialists.  Medicare, realizing this made a modification to office visit CPT codes (which are the majority of PCP visits) .  At the same time demand for PCPs exceeds their availability and groups in order to attract PCPs have raided the reimbursement accordingly.

Primary care physicians are apparently being paid more, regardless of productivity, because of their important role in value-based care. "As healthcare organizations move from volume-based to value-based payment models, we've observed increased scrutiny on primary care performance," said Elizabeth Siemsen, director of AMGA Consulting, in the release. "Medical groups continue to focus on delivering care in the most appropriate setting with the greatest efficiency — and often place primary care providers at the center of this strategy."

In recent years, Siemsen noted, the AMGA survey has shown a slow increase in the percentage of part-time primary care providers. She thinks this may have contributed to the hefty compensation increases for family doctors and internists.

"In order to recruit and retain the primary care workforce, it may be that the market demanded a compensation course correction this past year," she said.

Work RVU Calculator

Physician Incomes Up in 2018, but Productivity Stagnant: AMGA: A 2019 medical group compensation and productivity survey also shows hefty increases for primary care specialties as value-based care gains traction.

Virtual Bodies For Real Drugs: In Silico Clinical Trials Are The Future | LinkedIn

Yes, a body in a chip.

Traditional clinical trials are equivalent of billions of dollars and years of hard work with no guarantee for the new drug to be approved by regulatory bodies, not to speak about the dangers of testing medication on animals and/or humans. What if we could take a radical turn? What if we conducted clinical trials on virtual bodies that could perfectly mimic human physiology? With the help of artificial intelligence, enhanced computer simulations, and advances in personalized medicine, in silico trials might be a reality in the coming years.

If possible this would be a quantum leap and sea-change for pharmaceutical companies and regulatory agencies. The magic expression is in silicon.

As technologies transform every aspect of healthcare, medicine, and the pharma industry, the monstrous clinical trial enterprise cannot be left out either. One way to modernize the testing The present testing process is applying technologies to the traditional framework, for example through online platforms to seek out participants; while an alternative way is to build a completely new setting. Human organs-on-chips and in silico trials represent the second approach. Researchers of the Wyss Institute have been working on the first strand, human organs-on-chips for years. These microdevices lined by living human cells can mimic the microarchitecture and functions of human organs, and this makes them ideal for replacing clinical testing.

In silico is the term scientists use to describe the modeling, simulation, and visualization of biological and medical processes in computers. The emergence of in silico medicine is a result of the advance of medical computer science over the last 20 years.

As technologies transform every aspect of healthcare, medicine, and the pharma industry, the monstrous clinical trial enterprise cannot be left out either. One way to modernize the drug testing process is applying technologies to the traditional framework, for example through online platforms to seek out participants; while an alternative way is to build a completely new setting. Human organs-on-chips and in silico trials represent the second approach. Researchers of the Wyss Institute have been working on the first strand, human organs-on-chips for years. These microdevices lined by living human cells can mimic the microarchitecture and functions of human organs, and this makes them ideal for replacing clinical testing.  What if these cells could be replaced by software, an artificial intelligence (a virtual body) contained in code? And what if instead of using an actual drug it could be a virtual drug, coded in software.  It sounds like a fantasy, yet so was Google, the internet, and reusable rocket boosters.   Science fiction? Not for long as these futurists predict this evolution.

Certain Phase I studies involve laboratory animals, such as mice.  There is a significant cost to maintaining libraries of genetically altered animals.

No need for lab rats in the future. Source: www.gizmodo.com

We firmly believe that drug development and new therapy experimentation will largely happen through in silico trials in the future, since who would want to test new drugs on animals or humans if we have the possibility to accurately measure the consequences of novel medications or treatment paths virtually. However, we have to mention that regulators will face a new, so far unknown challenge here: they will have to let more and more personalized, cheaper, and more efficient drugs be introduced on the market without being tested on actual humans for years.

Not only clinical trials for new drugs, this also will allow for testing of medical devices, such as cardiac pacemakers in a virtual heart simulation.

FDA Seeks Virtual Heart to Test Medical Devices
By Brandi Vincent,
Staff Correspondent,  Nextgov.com

The Food and Drug Administration is looking for computational software and services modeling the whole human heart to incorporate in a project that aims to evaluate new medical devices and therapies, according to a recently released request for information.

Through an ongoing collaborative project with French software company Dassault Systèmes, the agency hopes to demonstrate how involving computer modeling and simulation, digital evidence and a virtual patient population could potentially speed up the regulatory evaluation and approval processes through which innovative medical solutions go to market.

“We will need a physics-based computational model of a whole human heart, one that includes all critical functions of the heart: electrophysiology, solid mechanics, and fluid dynamics, including all relevant anatomical features (such as ventricles, atria and vessels),” the agency said in the program’s project brief. “The FDA intends to develop a generic medical device that will be virtually implanted in the whole human heart computational model.”

In 2014, FDA initiated its collaboration with Dassault around the company’s simulated 3D heart model, which the duo used to test pacemakers and other cardiovascular devices. Through the new project, researchers will incorporate virtual patients and testing to quicken the pace in which devices are tested and adopted.

“Integration of [virtual patient] data within the clinical trial simplification framework has the power to revolutionize how device companies conduct clinical trials, sustain this paradigm shift, and satisfy patient and provider demands for safety, efficacy and improved access,” the agency said.

Through the trial, researchers will design, manufacture and physically and virtually test a generic medical device on virtual populations and new methods will be created to combine digital evidence from the simulations to physical evidence from real patients. The objective is to receive FDA concurrence on the simulated approach, not to actually obtain approval of the device.

Ultimately, the agency aims to use digital evidence and computer modeling to tackle the delays and costs that hinder patients from trying new treatments.

“Modeling and simulation can help to inform clinical trial designs, support evidence of effectiveness, identify the most relevant patients to study, and assess product safety. In some cases, in silico clinical trials have already been shown to produce similar results as human clinical trials,” Tina Morrison, deputy director of applied mechanics in the FDA’s Center for Devices and Radiological Health, said in a statement.

Interested vendors that can offer the capability to perform whole human heart computations with virtually implanted devices using high-performance cloud-computing should submit capability statements to the FDA by Aug. 12..















Virtual Bodies For Real Drugs: In Silico Clinical Trials Are The Future | LinkedIn: www.knect365.com

Researchers Push Primary Care Teams to 'Power Up'

 Researchers describe a new model that extends clinician visits to team visits by pairing each physician with highly trained nurses or medical assistants.

The authors of an article published in the July/August issue(www.annfammed.org) of Annals of Family Medicine say there's a reason why. They contend that "primary care teams are underpowered."

"They are underpowered because they do not maximally redistribute team functions," write corresponding author Thomas Bodenheimer M.D., M.P.H., and co-author Christine Sinsky, M.D., vice president of professional satisfaction at the AMA, in an article titled "Powering-Up Primary Care Teams: Advanced Team Care with In-room Support."

However, "a new team model is bubbling up across the country with the potential to reinvigorate primary care," they add.

This new model comes with a bit of twist and has been dubbed "advanced team care with in-room support." The authors explain that in this core team model, each physician is paired with two or three highly trained medical assistants or nurses -- referred to as care team coordinators.

This is not a new or radical concept. It takes place in many hospitals already whereby the physician, floor nurse and any number of allied health professionals 'round' on patients.  With the concurrent use of the electronic health record, it unitizes and bypasses the hierarchy or transmitting orders across the 'chain of command' It markedly reduces the time for delivery of care.

 "This model extends the clinician visit into a team visit," say the authors, with a care team coordinator, beginning the visit by completing a number of tasks, including taking an initial history, reconciling medications, addressing chronic and preventive care gaps, and setting the visit agenda based on patient concerns.

The physician joins the visit after 10-15 minutes, "sits face-to-face with the patient (without the computer dividing her attention)," expands the history and does a focused physical exam. The physician talks with the patient about a diagnosis and a care plan while the care team coordinator types notes and enters documentation into the EHR.

The team coordinator stays with the patient to review the care plan; set up referrals, labs, and follow-up visits; and provide health coaching as indicated.

Meanwhile, the physician moves on to the next patient, where a second team coordinator is already completing the initial tasks.

The Evidence:

That evidence is compelling. For instance, practices report benefits that include increased productivity of as much as 20%, growth in net revenue of 10.5% per encounter, increased capacity to accept new patients, improved blood pressure and diabetes control, improved performance on quality measures, and increased patient and staff satisfaction.

At Bellin Health in northeastern Wisconsin, where the model was piloted in 2014, the authors note that "clinician satisfaction went from 34% without the team model to 88% with the model."

And at the University of Colorado Health System, physician burnout dropped from 56% to 28% just one year after implementing advanced team care with in-room support.

Ripping Away Barriers

Implementing this new model requires a change in mindset that includes redistributing team functions that would "allow clinicians to shed that portion of clinical and administrative work that a well-trained, well-staffed team could easily perform," say the authors.

They discuss the downside of technology and point out that in health care, the EHR "has added rather than subtracted work." Tasks that used to take mere seconds now require minutes, they say, and "work previously done by others has now been shifted to physicians."

The authors say advanced care team with in-room support is all about creating teams in which well-trained support personnel "can assist with the clinical care of patients and assume much of the administrative burden."

"By distancing the EHR from the patient-clinician interaction, technology assumes its rightful supportive role," they add.

Additional Author Thoughts

Bodenheimer, founding director of the Center for Excellence in Primary Care(cepc.ucsf.edu) at the University of California, San Francisco, Department of Family & Community Medicine, told AAFP News that he spent 32 years as a general internist in a low-income San Francisco community. In the following Q&A, he provides additional comment about this article.

Q. Why is this discussion important at this juncture in the U.S. health care system?

A. Family physicians are dealing with large patient panels, frustrating EHRs and exhausting administrative work. The existing model is not sustainable. Physicians need teams with well-trained personnel to take on both clinical and documentation tasks.

Q. What are some of the barriers to widespread adoption of this model?

A. As the commentary argues, there are significant obstacles. First and foremost, the financial leadership of the health system in which the primary care practice is situated must understand that there is a business case for hiring two or more clinical assistants per physician.

Second, there needs to be a physician champion who pilots the new model, adapts it to his or her practice, and then creates and leads a robust training program.

Third, there needs to be an evaluation after the model is in place to determine if the physician and patient satisfaction increases, clinician burnout decreases, quality of care is preserved, and financial performance improves.

Q. Is it possible to get physician buy-in at the individual level?

A. Yes, if a few things go right (and they should): if the burden of EHR documentation is virtually eliminated from the physician's day, if clinical assistants do a good job and quality markers and patient satisfaction go up, if physicians can eliminate the burden of documentation tasks after they've put their kids to bed.  If these things happen, physician burnout will decrease, and I would expect to see almost 100% buy-in because that is what has happened in the practices that piloted the advanced team care with in-room support model. Physicians were begging to start the new model.

Q. What's the most important takeaway for family physicians?

A. It's becoming increasingly hard for family physicians to sustain a primary care practice. This model allows them to focus exclusively on their patients without the interference of EHRs and documentation tasks. Importantly, this model gets physicians out of the clinic earlier and without take-home work.

This study formally illustrates the advantages of Team-Based Care, as promoted by the American Academy of Family Practice

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Researchers Push Primary Care Teams to 'Power Up':

Multiple Hospitals Close in Wake of Fraud Allegations

When it's too good to be true, it probably is.  

I-70 Community Hospital shut its doors in February, taking with it dozens of jobs and lifesaving emergency care for the residents of Sweet Springs, Mo.

Small rural hospitals are always at risk of insolvency and closure.  These communities look to entrepreneurs (usually nonmedical venture capitalists and/or other hospitals to absorb their hospital(s)

It was his "secret sauce," the rotund Miami entrepreneur would smilingly tell people in their no-stoplight towns. The money-making ventures he proposed sounded complicated, sure, but he said they would bring in enough cash to save their hospital and dozens, even hundreds, of good jobs in rural towns where gainful employment is hard to come by.

And, in town after town, the people believed him. He offered what they could not resist: hope, and the promise of survival.

Then a few major health insurance companies got suspicious, as did some government officials. How could Unionville, Mo? — a town of 1,790 — generate $92 million in hospital lab fees for blood and urine samples in just six months? Why had lab billings at a 25-bed hospital in Plymouth, N.C., nearly tripled to $32 million in the year after Perez's company took control?

At the height of his operation, Perez and his Miami-based management company, EmpowerHMS, helped oversee a rural empire encompassing 18 hospitals across eight states. Perez owned or co-owned 11 of those hospitals and was CEO of the companies that provided their management and billing services.  Their website contains the slick marketing quotes of venture capitalists.

Desperate hospitals and desperate communities take desperate measures when a local isolated hospital may close.  "Creative" revenue streams are an opportunistic measure to fund hospitals from sources including Medicare and private insurance companies.

This is not an unusual occurrence and has been seen previously.

The staggering collapse left hundreds of employees without jobs and many more owed months of back pay. Only in recent months did they learn that their medical coverage had been terminated because EmpowerHMS had stopped making payments, according to interviews and bankruptcy documents.

At some of the hospitals, EmpowerHMS stopped paying employee payroll taxes, Perez acknowledged in an interview. Some of the shuttered hospitals owe hundreds of thousands in property taxes, according to local officials.

How companies run by this Miami businessman and his associates were able to drive so many hospitals into the ground so quickly, devastating their communities, is a story about the fragility of health care in rural America and the types of money-making ventures that have flourished in legal gray areas of America's complicated medical system.

The scheme involved laboratory referrals to labs owned by Perez and his partners. It was a convoluted trail of self-referrals to companies owned by Perez.

The analysis found 80% of that money was flowing to laboratory companies, including some in which Byrns had a financial stake; another 6% to a Perez-controlled billing company; and a major portion to 33 out-of-state phlebotomists — blood draw specialists — they had put on the hospital payroll.

I-70 Community Hospital in Sweet Springs, Mo., is one of eight hospitals owned or managed by Miami businessman Jorge A. Perez that closed in recent years. Twelve Perez-affiliated hospitals are in bankruptcy.

"What was astounding to me was that the hospital was not better off during and after this lab activity," Galloway told KHN.

The reaction was explosive. Dozens of major insurers banded together to file lawsuits against Perez-affiliated hospitals in Missouri and other states, demanding hundreds of millions in restitution. The lawsuits, still ongoing, describe the lab-billing operation as a "widespread fraudulent scheme" that aimed to enrich Perez, some of his associates and affiliated companies, as well as participating labs.

The department of justice in Missouri is still investigating, however, the town of Unionville, MO is now without a hospital.  Perhaps it could not be saved.  However, there were other solutions to this challenge.

With the increasing use of health information technology and telemedicine, mobile ambulances and urgent care centers health care could still be present in Unionville, MO.

Multiple Hospitals Close in Wake of Fraud Allegations: Jorge A. Perez and his management company, EmpowerHMS, helped run an empire of rural hospitals. Now, 12 of them have entered bankruptcy and eight have closed their doors. So, what happened?

The Secret of Health Care Prices: Why Transparency Is in the Public Interest - California Health Care Foundation

Katherine L. Gudiksen, University of California Hastings College of the Law
Samuel M. Chang, University of California Hastings College of the Law
Jaime S. King, University of California Hastings College of the Law


In 2018, California lawmakers sought to design and create a state Health Care Cost Transparency Database, an all-payer claims database (APCD), which would collect information on the cost of health care in the state. The law tasks the Office of Statewide Health Planning and Development (OSHPD) with designing a database to best fit the needs.  California’s APCD may collect information about amounts paid for health care services, including data about negotiated rates between insurance plans and providers. Many health care providers and payers seek to maintain the confidentiality of these paid amounts as trade secrets, claiming their secrecy provides a competitive advantage.

There are some issues regarding the public release of health care prices. 

Economists and antitrust enforcers have theorized about how disclosure of negotiated rates in health care markets could facilitate price collusion and drive price increases. To date, however, no US
state with an existing APCD has experienced competitive harm, and, in fact, a decade of public disclosure of negotiated health care rates in New Hampshire resulted
in increased competition and reduced prices for health care services. Although, in some markets, disclosure of negotiated health care rates could theoretically result
in price collusion and increased prices.
  

The Secret of Health Care Prices: Why Transparency Is in the Public Interest (PDF)

Policy Brief — The Secret of Health Care Prices: Why Transparency Is in the Public Interest (PDF)

The Secret of Health Care Prices: Why Transparency Is in the Public Interest - California Health Care Foundation:

Beating the Prior Authorization Blues -- FPM

The Federal budget is impacted by rising health care costs. There are several factors in play.

1.  Due to increased length of life and successes in treating acute and chronic illness our population is aging. The percentage of patients over the age of 65 increases annually due to bursts of immigration, and birth rates as well as innovations of care resulting in lower mortality rates.

2. There are and will be fewer workers paying into Social Security and Medicare, as well as the effects of automation requiring fewer workers.

Medicare (CMS) attempt to control expenses by limiting procedures.  Private insurance does the same via a complex time-consuming process known as prior authorization.

The enclosed video illustrates the process, time-consuming, as well as non-productive work required by clinicians.

Like many family physicians, W. Ryan Neuhofel, DO, has spent his share of time on the phone asking insurers for prior authorization of medications or medical procedures for his patients.

Unlike many physicians, Neuhofel decided to videotape it. The Lawrence, Kan.-based physician recorded a 21-minute call of himself seeking approval for computerized tomography (CT) scan for a patient with a palpable mass on his skull and then posted the video on several social media platforms, where it attracted thousands of views.

Of course, the tactic has real costs for physicians and their practices. One study estimated that primary care physicians spend an average of 3.5 hours a week dealing with insurers, and the entire medical community spends the equivalent of between $23 billion and $31 billion annually in time on insurance matters, including prior authorization.1

Prior authorization can also negatively affect the quality of care. According to an American Medical Association survey, two-thirds of physicians said they waited at least a few days for preauthorization on tests, procedures, or medications, and between 10 percent and 13 percent said they waited for more than a week.  Insurers and other payers have long used prior authorization as a valuable tool. Lydia Bartholomew, MD, of Edmonds, Wash., is a medical director for a national insurer and a member of the American Academy of Family Physician's (AAFP's) Commission on Quality and Practice. She said insurers require prior authorization to confirm that the treatment prescribed by the physician is covered by the patient's health plan and is the most appropriate care in the best setting. This helps insurers control health care costs by reducing duplication, waste, and unnecessary treatments, as well as identifying patients who might benefit from case management services, she said.

Whether insurers are increasingly requiring prior authorization is difficult to assess. Anthony Akosa, MD, MBA, chief medical officer of HealthEC, which advises accountable care organizations and other large provider groups, believes insurers are reining in their prior authorization requirements to some degree. They are responding to customer frustration over delays or denials of medical treatment, he said. However, growth in high-deductible health plans, which tend to have more coverage limitations, might be contributing to a perception that prior authorization requirements are increasing when in fact more services are being denied for lack of coverage, he said.










Beating the Prior Authorization Blues -- FPM: Getting insurer approval for treatment can take hours out of your week. Here are some ways to reduce the pain.

The New West: Smoke In The Sky, A Purifier At Home | California Healthline

If you live in the West an air purifier should be on your 'must-have' list.  During a wildfire, you may see smoke, but even if you don't see it, you are still at risk.  Amid forecasts for increasingly unhealthy air due to wildfire smoke, residents in Western states are snatching up home air purifiers. With good reason.

Downtown San Francisco was obscured by smoke from the Camp Fire burning about 90 miles north of Sacramento on Nov. 16, 2018

An announcement in California HealthLine 

By Mark Kreidler
August 6, 2019


When the Camp Fire began to rage in Paradise, Calif., last November, the owners of the family-run Collier Hardware store in nearby Chico faced a situation unlike any they’d seen.

A business that might welcome 200 customers on an average day, Collier was suddenly dealing with five times that number — “and they all wanted the same thing,” co-owner Steve Lucena said.

Alarmed by dense smoke, shoppers were snapping up portable air purifiers and breathing masks in staggering numbers. Collier Hardware sold nearly 60,000 adult-sized masks in a couple of weeks, and gave away thousands more that were specially designed for children.

“With the purifiers, we had multiple people unloading them from the truck, and they were sold before we could get them all the way into the store,” Lucena said. “People didn’t care what model it was or how much it cost. We’d normally sell four to six in a year, and we sold 100 in a day.”

Sales of portable air purifiers in California alone are expected to rise dramatically over the next few years, from roughly 469,000 units in 2017 to a predicted 720,000 in 2023, according to a study by TechSci Research presented at a recent meeting of the California Air Resources Board.

Across the country, annual sales of home air filters are expected to cross $1 billion by 2023, according to a report by Research and Markets.

“Interest in effective air purification has significantly risen in recent years due to wildfires,” said Jaya Rao, chief operating officer and co-founder of Molekule, a maker of a $799 purifier. Sales of the unit have doubled each year since it debuted in 2017, Rao said.

Researchers from Harvard and Yale in 2016 produced a list of more than 300 counties throughout the West that will be at the greatest risk of dangerous pollution in the coming decades due to “smoke waves” emanating from increasingly intense wildfires. Among the most vulnerable are heavily populated areas such as San Francisco, Alameda and Contra Costa counties in Northern California, and King County in Washington.

Wildfire smoke is dangerous because of its concentration of noxious fine particles, which measure 2.5 micrometers or less (a human hair, by comparison, measures 70 micrometers) and which, unlike common dust, can be inhaled into the deepest recesses of the lung.

In addition to eye and respiratory tract irritation, this particulate matter — PM2.5 in scientific shorthand — can exacerbate heart and lung issues, including asthma and chronic obstructive pulmonary disease (COPD), and may lead to premature death. Children, older people and those with respiratory illnesses are, particularly at risk.

While much is still unknown about the long-term effects of exposure to wildfire smoke, the microscopic particles are regulated as an air pollutant. A study published last year in the journal GeoHealth found that the number of deaths linked to the inhalation of wildfire smoke in the U.S. could double by the end of the century, to nearly 40,000 per year.

Air purifiers essentially function as scrubbers, removing bacteria, viruses, and PM2.5 as the air passes through them. The air resources board recommends its use to limit the effects of wildfire smoke in the home. It maintains a list of devices approved for use in California.

AIR PURIFIER RATINGS, PERFORMANCE, AND VALUE

Portable air-cleaning units were once considered specialty purchases, but sales-driven competition has flooded the market, forcing prices down. Where a high-end portable purifier might cost $800 or more, several models now cost less than $100. Shoppers can find models with well-known consumer appliance names like Dyson, Hunter, Honeywell, and Whirlpool as well as scores of more obscure manufacturers. Several websites have attempted to evaluate air purifiers, including the size of the room they can effectively clean.

















The New West: Smoke In The Sky, A Purifier At Home | California Healthline:

First Black Female AMA President Talks Policy, Health Equity | Chicago News | WTTW

The Chicago-based American Medical Association is the country’s largest association of doctors and medical students. Now, for the first time ever, the organization has an African American woman as its president.

Dr. Patrice Harris, a psychiatrist from Atlanta, was inaugurated in June to the yearlong position. And while the AMA doesn’t represent all U.S. doctors, the organization is an influential advocacy group for a wide range of issues across the health and medical industries.

Looking ahead to her priorities over the next year, Harris says she hopes “to elevate the importance of mental health into overall health care, to elevate the importance of health equity, and making sure we have a diverse physician workforce … we need to work toward the faces of physicians matching the faces of our patients.”

As a lobbying group, the AMA has had an active presence in the health care debate, staunchly supporting the Affordable Care Act since it was passed under President Barack Obama in 2010.

The group has also held a longstanding opposition to single payer health care. But at its June meeting, the AMA House of Delegates only narrowly voted down a motion to overturn that policy.

“Certainly in our huge House of Delegates, you have a wide range of opinions, all towards getting to coverage for everyone,” Harris said. “But at the end of the day, after the debate, there’s a vote, and the vote this year has been to maintain our current policy.”

The AMA also recently waded into the abortion debate, filing a lawsuit earlier this month to block two laws in North Dakota the association says threaten the underlying trust between doctors and their patients.

The laws, Harris said, “compel physicians to provide information that is false, and misleading, and not science-based. And so that would be a violation of our duty to our patients … it is our obligation to give patients accurate information, and that is why we filed that lawsuit.”

Another issue Harris is prioritizing is health equity. That comes as a recent study in Chicago found a 30-year life expectancy gap between residents of the affluent Streeterville neighborhood and the low-income Englewood neighborhood on the South Side.

Harris says discrepancies like this aren’t just about access to doctors and hospitals.

“It is about your physical environment, whether you have access to healthy, nutritious foods. Even looking at some of the more structural policies in place, such as past discrimination and racism, all of those impact a person’s health, and that’s why you see those differences in zip code,” she said.

This comes at a time when diversity is a major challenge as well as a goal in all businesses.











First Black Female AMA President Talks Policy, Health Equity | Chicago News | WTTW: Meet Dr. Patrice Harris, the new leader of the Chicago-based American Medical Association, the country’s largest association of doctors and medical students.

This spray-on nanofiber 'skin' may revolutionize wound care

Imagine if bandaging looked a little more like, well, a water gun?

Shaped like a gun, Nanomedic’s SpinCare device emits a web of electrospun polymer nanofabric that stays put for weeks—no dressing changes required.

Israeli startup Nicast, has invented a new mechanical contraption to treat burns, wounds, and surgical injuries by mimicking human tissue. Shaped like a children’s toy, the lightweight SpinCare emits a proprietary nanofiber “second skin” that completely covers the area that needs to heal.

All one needs to do is aim, squeeze the two triggers, and fire off an electrospun polymer material that attaches to the skin.

The Nanomedic spray method avoids any need to come into direct contact with the wound. In that sense, it completely sidesteps painful routine bandage dressings. The transient skin then fully develops into a secure physical barrier with tough adherence. Once new skin is regenerated, usually between two to three weeks (depending on the individual’s heal time), the layer naturally peels off.

“You don’t replace it,” explains Nanomedic CEO Dr. Chen Barak. “You put it only once—on the day of application—and it remains there until it feels the new layer of skin healed.”

The SpinCare holds single-use ampoules containing Nanomedic’s polymer formulation. Once the capsule is firmly in place, one activates the device roughly eight inches towards the wound. Pressing the trigger activates the electron-spinning process, which sprays a web-like a layer of nanofibers directly on the wound.

The solution adjusts to the morphology of the wound, thereby creating a transient skin layer that imitates the skin structure’s human tissue. It’s a transparent, protective film that then allows the patient and doctor to monitor progress. Once the wound has healed and developed a new layer of skin, the SpinCare “bandage” falls off on its own.

The Nanomedic spray method avoids any need to come into direct contact with the wound. In that sense, it completely sidesteps painful routine bandage dressings. The transient skin then fully develops into a secure physical barrier with tough adherence. Once new skin is regenerated, usually between two to three weeks (depending on the individual’s heal time), the layer naturally peels off.

“You don’t replace it,” explains Nanomedic CEO Dr. Chen Barak. “You put it only once—on the day of application—and it remains there until it feels the new layer of skin healed.”

The product is already being tested in hospitals. In the coming year, following FDA clearance, Nanomedic plans to expand to emergency rooms, ambulances, military use, and disaster relief response like fire truck companies. 




This spray-on nanofiber 'skin' may revolutionize wound care

Evaluation of a Remote Diagnosis Imaging Model vs Dilated Eye Examination in Detecting Macular Degeneration | Diabetic Retinopathy | JAMA Ophthalmology | JAMA Network

ADVANCES IN MEDICINE

JUST WHAT THE DOCTOR ORDERED:
IMPROVING PATIENT CARE WITH AI

Artificial Intelligence is transforming the world of medicine. AI can help doctors make faster, more accurate diagnoses. It can predict the risk of a disease in time to prevent it. It can help researchers understand how genetic variations lead to disease.

Although AI has been around for decades, new advances have ignited a boom in deep learning. The AI technique powers self-driving cars, super-human image recognition, and life-changing—even life-saving—advances in medicine.

Deep learning helps researchers analyze medical data to treat diseases. It enhances doctors’ ability to analyze medical images. It’s advancing the future of personalized medicine. It even helps the blind “see.”

“Deep learning is revolutionizing a wide range of scientific fields,” said Jensen Huang, NVIDIA CEO and co-founder. “There could be no more important application of this new capability than improving patient care.”

Three trends drive the deep learning revolution: more powerful GPUs, sophisticated neural network algorithms modeled on the human brain, and access to the explosion of data from the internet (see “Accelerating AI with GPUs: A New Computing Model”)

Community Medicine is a term used to describe medical conditions in a large population setting. It often involves the screening of large groups to select those with disease and provide appropriate treatment to avoid further complications.  This involves an examination of large groups of patients. Often more than 100 persons will be examined with a positive finding of less than five in one hundred examinations.  This is a massive undertaking when screening perhaps as much as 1000 or more persons. It is often not cost effective. 

However, the development of image analysis, high-speed computing power, and deep learning machines can be trained to accomplish this task. Algorithms can be developed to digitize images (x-rays, CT scans, and photographs.

Artificial intelligence or machine learning is bringing a new powerful tool for rapid interpretation of medical images, such as chest x-rays, retinal fundus photography, and scans.  Images of the skin can be analyzed for suspicious moles to rule out malignant melanoma rapidly.   As the science matures there are sure to be significant cost savings as well as time. 

Machine learning is dependent upon large data stores, and accuracy improves as images are added and curated by human beings (physicians).  It is doubtful if AI will ever stand alone without human oversight.  

A study of retinal fundus evaluation (as reported JAMA) using machine learning showed
Remote diagnosis imaging and a standard examination by a retinal specialist appeared equivalent in identifying referable macular degeneration in patients with high disease prevalence; these results may assist in delivering timely treatment and seem to warrant future research into additional metrics.

The study has shown equivalency in diagnosing age-related macular degeneration using ocular coherence tomography. 

The use of deep learning has also been applied in dermatology to screen for malignant melanoma or other skin malignancy.

As radiology is inherently a data-driven specialty, it is especially conducive to utilizing data processing techniques. One such technique, deep learning (DL), has become a remarkably powerful tool for image processing in recent years. In this work, the Association of University Radiologists Radiology Research Alliance Task Force on Deep Learning provides an overview of DL for the radiologist. This article aims to present an overview of DL in a manner that is understandable to radiologists; to examine past, present, and future applications; as well as to evaluate how radiologists may benefit from this remarkable new tool. We describe several areas within radiology in which DL techniques are having the most significant impact: lesion or disease detection, classification, quantification, and segmentation. 

Some are concerned that AI, or deep learning may replace human radiologists, however, this is unlikely to occur.  But deep learning won’t be replacing radiologists anytime soon, Bratt explained, and one key reason for this is that deep neural networks (DNNs) are naturally limited by “the size and shape of the inputs they can accept.” But deep learning won’t be replacing radiologists anytime soon, Bratt explained, and one key reason for this is that deep neural networks (DNNs) are naturally limited by “the size and shape of the inputs they can accept.” A DNN can help with straightforward tasks reliant on a few images—bone age assessments, for instance, but they become less useful as the goal grows more and more complex. This limitation, Bratt explained, is related to the concept of long-term dependencies.  Another issue related to DNNs is how easily they can fall apart when introduced to small changes. A DNN can be working perfectly after being trained on one institution’s dataset, for instance, but its performance suffers when it is introduced to new data from a new institution.

“This again reflects the fact that ostensibly trivial, even imperceptible, changes in input can cause catastrophic failure of DNNs, which limits the viability of these models in real-world mission-critical settings such as clinical medicine,” Bratt wrote.

In addition to evaluating images, DNN can be applied to other tasks.

MINING MEDICAL DATA FOR BETTER, QUICKER TREATMENT

Medical records such as doctors' reports, test results and medical images are a gold mine of health information. Using GPU-accelerated deep learning to process and study a patient's condition over time and to compare one patient against a larger population could help doctors provide better treatments.

BETTER, FASTER DIAGNOSES


Medical images such as MRIs, CT scans, and X-rays are among the most important tools doctors use in diagnosing conditions ranging from spine injuries to heart disease to cancer. However, analyzing medical images can often be a difficult and time-consuming process.

Researchers and startups are using GPU-accelerated deep learning to automate analysis and increase the accuracy of diagnosticians:

Imperial College London researchers hope to provide automated, image-based assessments of traumatic brain injuries at speeds other systems can't match.
Behold.ai is a New York startup working to reduce the number of incorrect diagnoses by making it easier for healthcare practitioners to identify diseases from ordinary radiology image data.
Arterys, a San Francisco-based startup, provides technology to visualize and quantify heart flow in the body using an MRI machine. The goal is to help speed diagnosis.
San Francisco startup Enlitic analyzes medical images to identify tumors, nearly invisible fractures, and other medical conditions.

GENOMICS FOR PERSONALIZED MEDICINE

Genomics data is accumulating in unprecedented quantities, giving scientists the ability to study how genetic factors such as mutations lead to disease. Deep learning could one day lead to what’s known as personalized or “precision” medicine, with treatments tailored to a patient’s genomic makeup.

Although much of the research is still in its early stages, two promising projects are:

A University of Toronto team is advancing computational cancer research by developing a GPU-powered “genetic interpretation engine” that would more quickly identify cancer-causing mutations for individual patients.
Deep Genomics, a Toronto startup, is applying GPU-based deep learning to understand how genetic variations lead to disease, transforming personalized medicine and therapies.

DEEP LEARNING TO AID BLIND PEOPLE

Nearly 300 million people worldwide struggle to manage such tasks as crossing the road, reading a product label, or identifying a face because they’re blind or visually impaired. Deep learning is beginning to change that.

Horus Technology, the winner of NVIDIA’s first social innovation award at the 2016 Emerging Companies Summit, is developing a wearable device that uses deep learning, computer vision, and GPUs to understand the world and describe it to users.

One of the early testers wept after trying the headset-like device, recalled Saverio Murgia, Horus CEO, and co-founder. “When you see people get emotional about your product, you realize it’s going to change people’s lives.”

Further DNN utilizes optical diffractive circuits in lieu of electrons

The setup uses 3D-printed translucent sheets, each with thousands of raised pixels, which deflect light through each panel in order to perform set tasks. By the way, these tasks are performed without the use of any power, except for the input light beam.

The UCLA team's all-optical deep neural network – which looks like the guts of a solid gold car battery – literally operates at the speed of light and will find applications in image analysis, feature detection, and object classification. Researchers on the team also envisage possibilities for D2NN architectures performing specialized tasks in cameras. Perhaps your next DSLR might identify your subjects on the fly and post the tagged image to your Facebook timeline.  For now, though, this is a proof of concept, but it shines a light on some unique opportunities for the machine learning industry.










Dewinner of NVIDIA’s first social innovation award at the 2016 Emerging Companies Summit, is developing a wearable device that uses deep learning, computer vision, and GPUs to understand the world and describe it to users.

One of the early testers wept after trying the headset-like device, recalled Saverio Murgia, Horus CEO and co-founder. “When you see people get emotional about your product, you realize it’s going to change people’s lives.”


Evaluation of a Remote Diagnosis Imaging Model vs Dilated Eye Examination in Referable Macular Degeneration | Diabetic Retinopathy | JAMA Ophthalmology | JAMA Network: This study evaluates a retinal diagnostic device and compares its utility and outcomes with those of traditional eye examinations by retinal specialists for patients with potential retinal damage from diabetic retinopathy and age-related macular degeneration.