News, Analysis, Trends, Management Innovations for
Clinical Laboratories and Pathology Groups

Hosted by Robert Michel

News, Analysis, Trends, Management Innovations for
Clinical Laboratories and Pathology Groups

Hosted by Robert Michel
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Apple Designs New App to Allow Use of iPhones to Recruit and Track Patients in Clinical Study as One Strategy to Become a Player in Healthcare Big Data

Researchers, including pathologists, can use Apple’s ResearchKit app to help collect and share genetic information about cancers and other diseases while building a huge genome database

By providing tools to allow users to be more productive in working with healthcare big data, several Silicon Valley giants hope to increase their presence in medical services. The latest company to enter the field is Apple Computers (NASDAQ:AAPL). In March it announced the availability of ResearchKit, an open-source software framework that turns the iPhone into a research tool.

Pathologists and clinical laboratory scientists have a stake in the healthcare big data trend, since more than 70% of the typical patient’s permanent medical record consists of medical laboratory test data. Thus, the products introduced by Apple, Google, and other Silicon Valley firms that are designed to help physicians and other professionals work with healthcare big data have the potential to transform the way value is harvested from these data sets.

It was Google (NASDAQ:GOOG) that took the first leap into the medical research arena. Last year, it launched Google X Life Sciences to assemble a database of the human genome. (See Dark Daily, “Google Takes First Steps to Create World’s Largest Human Genome Database as Part of Wider Strategy to Become a Major Player in Healthcare ‘Big Data’” October 14, 2014).

Apple’s strategy is to support researchers. Its ResearchKit is designed to be an open-source software framework that turns the iPhone into a research tool. It enables development of apps that help medical researchers recruit study subjects and collect health information through iPhone’s sensors and surveys. Because it is an open-source platform, researchers also can create apps for Android and Windows devices. (more…)

To Help Physicians and Patients, Medical Laboratories with BRCA Breast Cancer Tests Are Posting Mutation Data into ClinVar’s BRCA Database

Innovative use of crowdsourcing allows pathologists and genetic scientists to create a sizeable database of BRCA mutations that is accessible to clinicians and patients

There’s a new development in the longstanding battle over proprietary healthcare data versus public sharing of such information. Pathologists and clinical laboratory managers will be interested to learn that, when it comes to genetic testing of the BRCA mutation involved in breast cancer, a public data base of mutations is growing so rapidly that it may become the world’s largest repository of such information.

It was last year when the Supreme Court ruled in the gene patent case of Association of Molecular Pathology versus Myriad Genetics that human genes were not patentable. Following that decision, some financial analysts stated that Myriad Genetics, Inc. (NASDAQ:MYGN) retained a competitive advantage over other medical laboratories due to its huge database of mutations in the BRCA genes. (See Dark Daily, “Supreme Court Strikes down Myriad Gene Patents in Unanimous Vote; Decision Is Expected to Benefit Clinical Pathology Laboratories,”  July 1, 2013.) (more…)

Doctors’ Mistakes in Genetic Test Orders Is Warning Signal to Pathologists and Clinical Laboratories

Clinical laboratory professionals and pathologists should be aware of significant levels of errors in clinician gene test orders

Almost one-third of medical laboratory test orders for complex gene tests contained mistakes in handling by ordering clinicians. This finding comes from a study by ARUP Laboratories, Inc.. The finding is an early warning flag for pathologists and clinical laboratory professionals that a gap exists between the availability of genetic tests and clinician knowledge of how and when to use them and how to interpret the results. (more…)

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