Getting to the Essence of Value in Health Care
In this era of value-based payment, we need to consider how different players within health care approach the value equation. How would you judge the value of your health care? A longstanding definition of treatment holds that value is the health outcomes achieved for the dollars spent. Yet behind that seemingly simple formula lies much […]
How machine-learning driven interventions can build value in health care
One of the main goals of efforts to improve the quality of health care in the U.S. is to reduce variation in care, where some patients are treated optimally while others miss out on the best of medicine. This is a key driver behind the focus on population health, which in recent decades has spawned […]
GNS Healthcare Introduces MAX for Metabolic Syndrome™
Big Data-Driven Solution Is Latest in Transformative Population Health Management Suite CAMBRIDGE, Mass. – June 3, 2015 – GNS Healthcare (GNS), a leading provider of value-based analytics solutions for driving personalized interventions that improve population health, today announced the expansion of its big data-driven population health management suite of solutions with the introduction of MAX […]
GNS Healthcare CEO Colin Hill to Address AHIP Institute 2015 General Session
CAMBRIDGE, Mass. – May 26, 2015 – Precision medicine pioneer Colin Hill will be a featured speaker at AHIP Institute 2015, offering a real-world view of how precision medicine is converging with population health to enable truly individualized interventions and dramatically improve return on population health investments. Hill is chairman and CEO of GNS Healthcare, […]
GNS Healthcare Applauds Precision Medicine Initiative
Big Data-Driven Effort Has Potential to Improve Health Outcomes, Save $100Bs CAMBRIDGE, Mass. – Feb. 2, 2015 – GNS Healthcare (GNS), a leading provider of analytics solutions for driving personalized interventions that improve population health, issued the following statement by its CEO and co-founder, Colin Hill. The statement follows Hill’s participation Friday at a White […]
GNS Healthcare Adds Two Leading Experts to Scientific Advisory Board
Dr. Richard Popiel and Dr. Atul Butte to Assist GNS as it Applies Machine Learning to Population Health Strategies CAMBRIDGE, Mass. – Dec. 17, 2014 – GNS Healthcare (GNS), a leading provider of analytics solutions for driving personalized interventions that improve population health, today announced the addition of Richard Popiel, MD, MBA and Atul Butte, […]
Hartford Courant: Aetna Study Uses Data To Predict Risk Of Metabolic Syndrome
Aetna and a data analytics firm looked at medical claims of 37,000 policyholders to find the likelihood that those patients are at a risk of metabolic syndrome, according to research published last week in the American Journal of Managed Care. Metabolic syndrome is characterized by five factors: a large waist size, high blood pressure, high […]
Health Data Management: Biomedical Data Analyses Can Predict Metabolic Risk
Analyses of biomedical data from nearly 37,000 volunteer employees of a large company insured under Aetna shows a success rate of 80 percent to 88 percent in predicting risk of metabolic syndrome, which can cause chronic disease. Metabolic syndrome means an individual has at least three of five biological characteristics that are out of normal […]
InformationWeek Healthcare: Big Data Helps Insurer Pinpoint At-Risk Patients
Aetna and GNS Healthcare use analytics to predict patients at risk for metabolic syndrome Analyzing big data can predict patients’ future risk of metabolic syndrome and allow individuals and clinicians to work together on preventative steps that save lives and money. While organizations have used a lot of big data projects to discern trends, a […]
Science: Big Biological Impacts From Big Data
In the life sciences, data can come in many forms, including information about genomic sequences, molecular pathways, and different populations of people. Those data create a potential bonanza, if scientists can overcome one stumbling block: how to handle the complexity of information. Tools and techniques for analyzing big data promise to mold massive mounds of […]