Nov 26, 2018 | Coding, Billing, and Collections, Instruments & Equipment, Laboratory News, Laboratory Operations, Laboratory Pathology, Laboratory Testing, Management & Operations
Despite the widespread adoption of electronic health record (EHR) systems and billions in government incentives, lack of interoperability still blocks potential benefits of digital health records, causing frustration among physicians, medical labs, and patients
Clinical laboratories and anatomic pathology groups understand the complexity of today’s electronic health record (EHR) systems. The ability to easily and securely transmit pathology test results and other diagnostic information among multiple providers was the entire point of shifting the nation’s healthcare industry from paper-based to digital health records. However, despite recent advances, true interoperability between disparate health networks remains elusive.
One major reason for the current situation is that multi-hospital health systems and health networks still use EHR systems from different vendors. This fact is well-known to the nation’s medical laboratories because they must spend money and resources to maintain electronic lab test ordering and resulting interfaces with all of these different EHRs.
Healthcare IT News highlighted the scale of this problem in recent coverage. Citing data from the Healthcare Information and Management Systems Society (HIMSS) Logic database, they note that—when taking into account affiliated providers—the typical health network engages with as many as 18 different electronic medical record (EMR) vendors. Similarly, hospitals may be engaging with as many as 16 different EMR vendors.
The graphics above illustrates why interoperability is the most important hurdle facing healthcare today. Although the shift to digital is well underway, medical laboratories, physicians, and patients still struggle to communicate data between providers and access it in a universal or centralized manner. (Images copyright: Healthcare IT News.)
The lack of interoperability forces healthcare and diagnostics facilities to develop workarounds for locating, transmitting, receiving, and analyzing data. This simply compounds the problem.
According to a 2018 Physician’s Foundation survey, nearly 40% of respondents identified EHR design and interoperability as the primary source of physician dissatisfaction. It has also been found to be the cause of physician burnout, as Dark Daily reported last year in, “EHR Systems Continue to Cause Burnout, Physician Dissatisfaction, and Decreased Face-to-Face Patient Care.”
Pressure from Technology Giants Fuels Push for Interoperability
According to HITECH Answers, the Centers for Medicare and Medicaid Services (CMS) has paid out more than $38-billion in EHR Incentive Program payments since April 2018.
Experts, however, point out that government incentives are only one part of the pressure vendors are seeing to improve interoperability.
“There needs to be a regulatory push here to play referee and determine what standards will be necessary,” Blain Newton, Executive Vice President, HIMSS Analytics, told Healthcare IT News. “But the [EHR] vendors are going to have to do it because of consumer demand, as things like Apple Health Records gain traction.”
Dark Daily covered Apple’s progress into organizing protected health information (PHI) and personal health records (PHRs) earlier this year in, “Apple’s Update of Its Mobile Health App Consolidates Data from Multiple EHRs and Makes It Easier to Push Clinical Laboratory Data to Patients.” It is one of the latest examples of Silicon Valley tech companies attempting to jump into the health sector and providing patients and consumers access to the troves of medical data created in their lifetime.
Another solution, according to TechTarget, involves developing application programming interfaces (APIs) that allow tech companies and EHR vendors to achieve better interoperability by linking information in a structured manner, facilitating secure data transmission, and powering the next generation of apps that will bring interoperability ever closer to a reality.
TechTarget reported on how University of Utah Hospital’s five hospital/12 community clinic health network, and Intermountain Healthcare, also in Utah, successfully used APIs to develop customized interfaces and apps to improve accessibility and interoperability with their Epic and Cerner EHR systems.
Diagnostic Opportunities for Clinical Laboratories
As consumers gain increased access to their data and healthcare providers harness the current generation of third-party tools to streamline EHR use, vendors will continue to feel pressure to make interoperability a native feature of their EHR systems and reduce the need to rely on HIT teams for customization.
For pathology groups, medical laboratories, and other diagnosticians who interact with EHR systems daily, the impact of interoperability is clear. With the help of tech companies, and a shift in focus from government incentives programs, improved interoperability might soon offer innovative new uses for PHI in diagnosing and treating disease, while further improving the efficiency of clinical laboratories that face tightening budgets, reduced reimbursements, and greater competition.
—Jon Stone
Related Information:
Why EHR Data Interoperability Is Such a Mess in 3 Charts
EHR Incentive Program Status Report April 2018
New FDA App Streamlines EHR Patient Data Collection for Researchers
AAFP Nudges ONC toward EHR Interoperability
A New Breed of Interoperable EHR Apps Is Coming, but Slowly
Top Interoperability Questions to Consider during EHR Selection
EHR Design, Interoperability Top List of Physician Pain Points
2018 Survey of America’s Physicians: Practice Patterns & Perspectives
ONC: 93% of Hospitals Have Adopted Most Recent EHR Criteria, but Most Lag in Interoperability
Open Standards and Health Care Transformation: It’s Finally Delivering on the Value It Promised
Apple’s Update of Its Mobile Health App Consolidates Data from Multiple EHRs and Makes It Easier to Push Clinical Laboratory Data to Patients
EHR Systems Continue to Cause Burnout, Physician Dissatisfaction, and Decreased Face-to-Face Patient Care
Oct 10, 2018 | Coding, Billing, and Collections, Compliance, Legal, and Malpractice, Laboratory Management and Operations, Laboratory News, Laboratory Operations, Laboratory Pathology, Laboratory Testing, Management & Operations
Protecting patient privacy is of critical importance, and yet researchers reidentified data using only a few additional data points, casting doubt on the effectiveness of existing federally required data security methods and sharing protocols
Clinical laboratories and anatomic pathologists know the data generated by their diagnostics and testing services constitute most of a patient’s personal health record (PHR). They also know federal law requires them to secure their patients’ protected health information (PHI) and any threat to the security of that data endangers medical laboratories and healthcare practices as well.
Therefore, recent coverage in The Guardian which reported on how easily so-called “deidentified data” can be reidentified with just a few additional data points should be of particular interest to clinical laboratory and health network managers and stakeholders.
Risky Balance Between Data Sharing and Privacy
In December 2017, University of Melbourne (UM) researchers, Chris Culnane, PhD, Benjamin Rubinstein, and Vanessa Teague, PhD, published a report with the Cornell University Library detailing how they reidentified data listed in an open dataset of Australian medical billing records.
“We found that patients can be re-identified, without decryption, through a process of linking the unencrypted parts of the record with known information about the individual such as medical procedures and year of birth,” Culnane stated in a UM news release. “This shows the surprising ease with which de-identification can fail, highlighting the risky balance between data sharing and privacy.”
In a similar study published in Scientific Reports, Yves-Alexandre de Montjoye, PhD, a computation private researcher, used location data on 1.5 million people from a mobile phone dataset collected over 15 months to identify 95% of the people in an anonymized dataset using four unique data points. With just two unique data points, he could identify 50% of the people in the dataset.
“Location data is a fingerprint. It’s a piece of information that’s likely to exist across a broad range of data sets and could potentially be used as a global identifier,” Montjoye told The Guardian.
The problem is exacerbated by the fact that everything we do online these days generates data—much of it open to the public. “If you want to be a functioning member of society, you have no ability to restrict the amount of data that’s being vacuumed out of you to a meaningful level,” Chris Vickery, a security researcher and Director of Cyber Risk Research at UpGuard, told The Guardian.
This privacy vulnerability isn’t restricted to just users of the Internet and social media. In 2013, Latanya Sweeney, PhD, Professor and Director at Harvard’s Data Privacy Lab, performed similar analysis on approximately 579 participants in the Personal Genome Project who provided their zip code, date of birth, and gender to be included in the dataset. Of those analyzed, she named 42% of the individuals. Personal Genome Project later confirmed 97% of her submitted names according to Forbes.
In testimony before the Privacy and Integrity Advisory Committee of the Department of Homeland Security (DHS), Latanya Sweeney, PhD (above), Professor and Director at Harvard’s Data Privacy Lab stated, “One problem is that people don’t understand what makes data unique or identifiable. For example, in 1997 I was able to show how medical information that had all explicit identifiers, such as name, address and Social Security number removed could be reidentified using publicly available population registers (e.g., a voter list). In this particular example, I was able to show how the medical record of William Weld, the Governor of Massachusetts of the time, could be reidentified using only his date of birth, gender, and ZIP. In fact, 87% of the population of the United States is uniquely identified by date of birth (e.g., month, day, and year), gender, and their 5-digit ZIP codes. The point is that data that may look anonymous is not necessarily anonymous. Scientific assessment is needed.” (Photo copyright: US Department of Health and Human Services.)
These studies reveal that—regardless of attempts to create security standards—such as the Privacy Rule in the Health Insurance Portability and Accountability Act of 1996 (HIPAA)—the sheer amount of available data on the Internet makes it relatively easy to reidentify data that has been deidentified.
The Future of Privacy in Big Data
“Open publication of deidentified records like health, census, tax or Centrelink data is bound to fail, as it is trying to achieve two inconsistent aims: the protection of individual privacy and publication of detailed individual records,” Dr. Teague noted in the UM news release. “We need a much more controlled release in a secure research environment, as well as the ability to provide patients greater control and visibility over their data.”
While studies are mounting to show how vulnerable deidentified information might be, there’s little in the way of movement to fix the issue. Nevertheless, clinical laboratories should consider carefully any decision to sell anonymized (AKA, blinded) patient data for data mining purposes. The data may still contain enough identifying information to be used inappropriately. (See Dark Daily, “Coverage of Alexion Investigation Highlights the Risk to Clinical Laboratories That Sell Blinded Medical Data,” June 21, 2017.)
Should regulators and governments address the issue, clinical laboratories and healthcare providers could find more stringent regulations on the sharing of data—both identified and deidentified—and increased liability and responsibility regarding its governance and safekeeping.
Until then, any healthcare professional or researcher should consider the implications of deidentification—both to patients and businesses—should people use the data shared in unexpected and potentially malicious ways.
—Jon Stone
Related Information:
‘Data Is a Fingerprint’: Why You Aren’t as Anonymous as You Think Online
Research Reveals De-Identified Patient Data Can Be Re-Identified
Health Data in an Open World
The Simple Process of Re-Identifying Patients in Public Health Records
Harvard Professor Re-Identifies Anonymous Volunteers in DNA Study
How Someone Can Re-Identify Your Medical Records
Trading in Medical Data: Is this a Headache or An Opportunity for Pathologists and Clinical Laboratories
Coverage of Alexion Investigation Highlights the Risk to Clinical Laboratories That Sell Blinded Medical Data
Sep 5, 2018 | Instruments & Equipment, Laboratory Instruments & Laboratory Equipment, Laboratory Management and Operations, Laboratory Pathology, Laboratory Testing
While approaches differ between the three companies, heavy investment in EMR/EHR and other HIT solutions could signal significant changes ahead for a market currently dominated by only a few major developers
If healthcare big data is truly a disruptive force in healthcare’s transformation, then a big battle looms for control of that data. Some experts say that the companies now dominating the electronic health record (EHR) market will soon face tough competition from the world’s biggest tech companies.
Until recently, most clinical laboratories, anatomic pathology groups, hospitals, and other healthcare providers have depended on EHR systems from just a handful of health information technology (HIT) developers. But tech giants Google, Apple, and Microsoft have been filing hundreds of HIT related patents since 2013 and appear poised to compete on a large scale for a chunk of the EMR/EHR/HIT market, according to coverage in EHR Intelligence of Kalorama Information’s “EMR 2018: The Market for Electronic Medical Records” report.
How this will impact medical laboratories and pathology practices remains to be seen. Labs are sure to be influenced by coming events, since clinical laboratory test data represents the largest proportion of an individual patient’s permanent medical record. It’s important to note, though, that while most EHR/HIT developers have been motivated by federal incentives, Google (NASDAQ:GOOG), Apple (NASDAQ:AAPL), and Microsoft (NASDAQ:MSFT) are motivated by consumer demand, which increasingly dictates the direction of health technology development.
Thus, they may be better positioned to compete moving forward, as patients, physicians, and hospitals turn to precision medicine and value-based care for improved outcomes and increased revenues.
“The EMR efforts have moved hospitals from paper to digital records,” Bruce Carlson (above), Publisher of Kalorama Information, told HIT Infrastructure. “The next step is for tech giants to glean the data and improve upon that infrastructure. We’ll be talking about EHR in different ways in the next ten years.” (Photo copyright: Twitter.)
EMR/EHR Market Poised for Disruption
According EHR Intelligence, as of 2017, 97% of all US non-federal acute care hospitals and 84% of US hospitals had adopted an EHR system. Of these hospitals, more than half (50.5%) use products from just two developers—Cerner or Epic. That’s according to Health Data Management’s coverage of the KLAS report “US Hospital EMR Market Share 2017.”
However, recent interest in HIT and EHR systems by major Silicon Valley tech companies could lead to potential disruptions in the current state of the market. According to The New York Times, in the first 11 months of 2017, 10 of the largest US technology companies were involved in healthcare equity deals worth $2.7-billion. This marks a drastic increase over the 2012 figure of $277-million.
Though each company is approaching the market differently, Google, Microsoft, and Apple are all working on projects that could influence how both consumers and healthcare professionals interact with and utilize medical record data.
Of the three, Apple is the most consumer-centric with their Apple Health personal health record (PHR) integration into Apple iOS for iPhones and iPads. Microsoft, however, is working on developing analytics tools and storage solutions aimed at healthcare providers in general. And Google, through its parent company Alphabet, is focusing on data processing and storage.
Amazon also is working on its own HIT project which it calls 1492. While details are scant, HIT Infrastructure reports that the project is focused on interoperability among disparate EHR systems to improve sharing of protected health information (PHI) between providers, patients, and other healthcare providers, such as clinical labs and pathology groups. HIT Infrastructure also reported on rumors of Amazon branching into telemedicine using their Amazon Echo and Alexa platforms.
Security Concerns and Opportunities for Clinical Laboratories
According to Computerworld’s coverage of IDC research, by 2020, 25% of patients are expected to be taking part in ‘bring your own data” healthcare scenarios. Tech-savvy medical laboratories could find opportunities to interact directly with patients and encourage follow-through on test orders or follow-up on routine testing.
However, shifting protected health information to devices carried by consumers is not without risks.
“How do I know the data won’t make its way to some cloud somewhere to be shared, sold, etc.” Jack Gold, Principal Analyst with J. Gold Associates, told Computerworld. “And if I rely on an app to tell me what to do—say, take my meds—and it somehow gets hacked, can it make me sick, or worse?”
These are important questions and developments, which Dark Daily has covered in other recent e-briefings. (See, “Apple Updates Its Mobile Health Apps, While Microsoft Shifts Its Focus to Artificial Intelligence. Both Will Transform Healthcare, But Which Will Impact Clinical Laboratories the Most?” July 25, 2018.)
Nevertheless, with tech giants already developing products for the consumer market and healthcare provider industry, it’s a given consumers will soon gain greater access to their own healthcare information. Whether patients will ultimately embrace it, how they will use it, and how developers will interact with the data, is still undefined. But it’s coming and clinical laboratories should be prepared.
—Jon Stone
Related Information:
Apple to Launch Health Records App with HL7’s FHIR Specifications at 12 Hospitals
How Google, Microsoft, Apple Are Impacting EHR Use in Healthcare
Microsoft, Apple, Google Secure HIT Infrastructure Patents
How Big Tech Is Going after Your Health Care
Amazon Secret Healthcare IT Tech Team Focuses on EHRs, Alexa
Apple’s Health Record API Released to Third-Party Developers; Is It Safe?
Apple, Cerner and Microsoft Are Interested in Buying AthenaHealth: Here’s Why This CEO Says They Won’t
Apple Says iOS Health Records Has over 75 Backers, Uses Open Standards
Report: Health Systems Share Apple Health Records Feedback
Apple Is Officially in the EHR Business. Now What?
Why Apple’s Move on Medical Records Marks a Tectonic Shift
Slideshow Where the Top 8 EMRs Are Deployed
Apple Updates Its Mobile Health Apps, While Microsoft Shifts Its Focus to Artificial Intelligence. Both Will Transform Healthcare, but Which Will Impact Clinical Laboratories the Most?
Apple’s Update of Its Mobile Health App Consolidates Data from Multiple EHRs and Makes It Easier to Push Clinical Laboratory Data to Patients
Jul 25, 2018 | Digital Pathology, Instruments & Equipment, Laboratory Instruments & Laboratory Equipment, Laboratory Management and Operations, Laboratory News, Laboratory Operations, Laboratory Pathology, Laboratory Testing, Management & Operations
While Apple recently debuted features to bring personal health records and protected health information to its mobile devices, Microsoft shuttered HealthVault in favor of focusing on AI-powered healthcare advances
As clinical laboratories and anatomic pathology groups know, lab testing data comprise more than 70% of the average patient’s health record. Thus, creating a universal platform on which consumers can share or review health information and medical histories with caregivers is a critical, yet elusive goal for most major tech companies, including tech giants Apple (Nasdaq:AAPL) and Microsoft (Nasdaq:MSFT).
Apple has big plans for patient health records and is working to bring protected health information (PHI) and healthcare advice to iPhones, iPads, and Apple Watch. Meanwhile, Microsoft is reducing its footprint in the mobile device healthcare market. Instead, it appears to be banking on its Artificial Intelligence (AI) platform. How these two diverging paths play out could have ramifications for the pathology and clinical laboratory industries.
HealthVault Insights versus AI versus Apple Health Mobile Apps
Launched in February 2017, Microsoft’s HealthVault Insights combined machine learning and AI with patients’ PHI and mobile activity tracking. The intent was to create an accessible, interactive platform for patients to monitor important health trends.
However, as of January 2018, Microsoft pulled the mobile app from Android, iOS, and Windows App stores. While summary information that draws on previously collected data is still available from the HealthVault website, new data and detailed insights are no longer available.
“We launched HealthVault Insights as a research project … with the goal of helping patients generate new insights about their health,” states Microsoft’s HealthVault Insights website. “Since then, we’ve learned a lot about how machine learning can be used to increase patient engagement and are now applying that knowledge to other projects.”
According to ZDNet, the closing of HealthVault Insights does not impact the Microsoft Health platform or the HealthVault patient-records system.
However, Microsoft’s shuttering of HealthVault Insights, and Google’s shuttering its Google Health platform in 2012, does seem to make Apple the last major tech company developing apps target at healthcare consumers designed to help them exchange private health information with caregivers through mobile devices. Dark Daily reported on Apple’s update earlier this year. (See, “Apple’s Update of Its Mobile Health App Consolidates Data from Multiple EHRs and Makes It Easier to Push Clinical Laboratory Data to Patients,” March 21, 2018.)
AI Will ‘Dramatically Transform Healthcare’
Shuttering HealthVault highlighted Microsoft’s shift away from consumer-facing health efforts and toward assisting medical laboratories, physicians, and research groups discover and implement treatments driving modern personalized medicine.
In a Microsoft blog post, Peter Lee, Corporate VP of Microsoft Healthcare, stated that Microsoft hopes its Healthcare NeXT platform will “dramatically transform healthcare, will deeply integrate Greenfield research and health technology product development, as well as establish a new model at Microsoft for strategic health industry partnerships.”
HealthVault Insights was one of several projects in Microsoft’s Healthcare NeXT initiative. Run by Microsoft’s AI and Research Group and partnering with major healthcare and research facilities across the country, other projects in the Healthcare NeXT initiative include:
Speaking with Business Insider, Lee noted that healthcare is becoming a “very large business” for Microsoft. “We don’t talk publicly about the dollars, but it’s large,” he concluded.
Microsoft’s EmpowerMD website states the eventual goal is to use the system to connect conversations with the growing trove of healthcare data available. “Our long-term vision is a learning system that incorporates data from longitudinal medical records, medical devices, genomics, population health, research papers, and more.”
AI a ‘Sleeping Giant for Healthcare’
“AI can be viewed as a sleeping giant for healthcare,” Eric Horvitz, PhD, Director of Microsoft Research Labs, told Nasdaq, when discussing Microsoft’s view of technology and healthcare. “AI methods show promise for multiple roles in healthcare. [This includes] inferring and alerting about hidden risks of potential adverse outcomes, selectively guiding attention, care, and interventional programs where [they are] most needed and reducing errors in hospitals.”
One such project involves a strategic partnership with the University of Pittsburg Medical Center (UPMC), which is a “$13-billion Pittsburgh-based system, comprising more than 25 hospitals, a three-million-member health plan, and 3,600 physicians, [that] will be a core partner in our efforts to improve healthcare delivery through a series of projects, beginning with a focus on transforming clinician empowerment and productivity,” according to Microsoft.
“Despite UPMC’s efforts to stay on the leading edge of technology, too often our clinicians and patients feel as though they’re serving the technology rather than the other way around. With Microsoft, we have a shared vision of empowering clinicians by reducing the burden of electronic paperwork and allowing the doctor to focus on the sacred doctor-patient relationship,” Steven D. Shapiro, MD (above), Chief Medical and Scientific Officer of UPMC and President of UPMC’s Health Services division, stated in the Microsoft blog. [Photo copyright: University of Pittsburg Medical Center.]
Medical laboratories and anatomic pathology groups may soon contribute health information to databases that one day will power AI systems. These trends highlight opportunities to both educate physicians on the tools available to utilize patient health data in an effective manner, and on new platforms that clinical laboratories could use to further streamline operations, reduce costs, and boost efficiency.
—Jon Stone
Related Information:
How Microsoft Is Using Advanced Technology in Healthcare
Microsoft Scrapping Personal Health Data App-Based Research Project
An Update on HealthVault Insights
How Microsoft’s Top Scientists Have Built a Big Business in Hacking Healthcare and Helped a Lot of People Along the Way
Microsoft Abandons Its Own HealthVault App: Is This Part of Something Larger?
Here’s How Microsoft Is Investing in AI
Microsoft Rolls Out More AI-Infused Healthcare Services, Software
Microsoft and Partners Combine the Cloud, AI, Research and Industry Expertise to Focus on Transforming Health Care
In Healthcare Push, Microsoft Launches Genomics Service on Azure Cloud
Apple’s Update of Its Mobile Health App Consolidates Data from Multiple EHRs and Makes It Easier to Push Clinical Laboratory Data to Patients
Oct 7, 2015 | Compliance, Legal, and Malpractice, Digital Pathology, Laboratory Management and Operations, Laboratory News, Laboratory Pathology, Management & Operations
In a poll of 2,300 physicians, more than 66% responded that they would not support giving patients access to their full medical records
In recent years, a new federal law made it mandatory that medical laboratories provide patients with access to view their lab test results. However, many healthcare providers continue to resist the concept of allowing patients to have access to their full clinical record.
SERMO Poll Receives Mixed Results
This fact is supported by a recent poll of 2,300 doctors. More than two-thirds of physicians (66%) participating in the survey said that they are reluctant or opposed to giving patients access to their complete medical records, according to a Forbes report.
The poll was conducted by SERMO, a global online social network for doctors. SERMO has 305,000 U.S. members, as well as about 38,000 U.K. members. The poll asked: “Should patients have access to their entire medical record—including MD notes, any audio recordings, etcetera?” The results were mixed: (more…)
