Predictive Analytics Identify High Risk Hepatitis C Patients

Researchers from the University of Michigan have developed a predictive analytics algorithm that uses basic EHR data to flag patients at high risk of developing complications from the hepatitis C virus (HCV), according to a study published in the most recent issue of Hepatology.  As payers seek to control the costs of extremely expensive but highly effective new HCV treatments like Sovaldi, the use of clinical analytics to pinpoint the most meaningful course of treatment for patients may help to avoid unnecessary spending.

The predictive analytics model was developed using a dataset derived from the Hepatitis C Antiviral Long-term Treatment Against Cirrhosis (HALT-C) trial conducted by the National Institutes of Health.  The team used machine learning techniques to process clinical information such as lab results, age, body mass index, and details of the virus type to create a risk score for patients.  The score is more accurate than previous attempts because the algorithm uses more lab values than other models and analyzes how the values change over time…(Read More Here)

Alere Informatics Launches RALS® Connectivity System for Physician Office Labs and Medical Practice

RALS-Pathway designed to connect the devices used in office labs everyday


Charlottesville, VA – Alere Informatics has announced the launch of an all-new RALS system to provide data management for diagnostic testing devices used in physician office labs (POLs) and medical practices. RALS-Pathway addresses the need to reduce manual data entry and potential transcription errors, and is based on the same RALS system used in nearly 60% of hospitals throughout the U.S. to manage point-of-care testing programs.

(See the press release here)

The battle over EHR patient data

How to secure your access to patient data when switching electronic health record vendors

Who owns patient data in an electronic health record (EHR)? It’s a simple question with a complex answer. No longer confined to the shelves of a physician’s office, patient data is now shared and used by a myriad of organizations across healthcare: Other physicians and health systems, the EHR vendor, payers, and researchers, not to mention patients themselves. While primary care physicians often originate the medical record, the resulting data are not theirs alone.The implication? The traditional concept of ownership is unraveling as patient data migrates away from paper charts and takes up residence in the cloud. Experts now counsel physicians against the concept of data ownership entirely….(Read More)

Also READ: Top 50 EHR software companies of 2014

EHR patient data