Harvard and Beth Israel Deaconess Researchers Use Machine Learning Software Plus Human Intelligence to Improve Accuracy and Speed of Cancer Diagnoses

Machine learning software may help pathologists make earlier and more accurate diagnoses In Boston, two major academic centers are teaming up to apply big data and machine learning to the problem of diagnosing cancers earlier and with more accuracy. It is research that might have major implications for the anatomic pathology profession. A collaborative effort between teams at Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) has resulted in an innovation that could...

Delaware HIE Teaming Up with iSpecimen to Turn Remnant Clinical Pathology Laboratory Specimens into Cash

‘Explosive growth’ of biomarker discovery and development fuels demand for biospecimens, thus creating a new revenue source for clinical laboratories and pathology groups Are health information networks alive and well in the United States? This sector of healthcare has been quiet in recent years. However, there is one statewide health information exchange (HIE) that is doing innovative things with clinical laboratory specimens. The Delaware Health Information Network (DHIN) has entered into a...

Trading in Medical Data: Is this a Headache Or An Opportunity for Pathologists and Clinical Laboratories

Legislation has been introduced that, if passed, would ensure health consumers have the opportunity to see and correct information held by data brokers When it comes to patient privacy, pathologists and clinical laboratory managers may be spending more time addressing a growing issue with the patient data their labs create and store. Third-party data brokers want to position themselves to collect healthcare data at the source so can they de-identify it and sell it to interested parties. Data...

Penn Medicine Informatics Taps Medical Laboratory Data and Three Million Patient Records Over 10 Years to Evaluate Patients’ Sepsis Risk and Head Off Heart Failure

This healthcare big data project’s tools and predictive models involve real-time monitoring of patient data and are expected to be available soon to other to providers One healthcare big data project has begun to report progress on using predictive analytics to improve patient care in the diagnosis and management of such health conditions as sepsis and heart failure. This pioneering effort is being done at the University of Pennsylvania Health System’s (Penn Medicine’s), Institute for...

Federal Government Report on EHR Interoperability Pinpoints Barriers to Information Exchange; Questions Value of Meaningful Use Requirements

Some health IT experts criticize the Government Accountability Office report for ‘incomplete research’ and failure to focus on ‘person-centered interoperability’ Several years after paying billions of incentive dollars to thousands of hospitals and physicians to encourage adoption of electronic health records (EHRs), federal officials remain frustrated at the lack of interoperability among the competing EHR systems. This is a problem recognized by clinical laboratories that must create and...
;