Health Care

Analytics | Machine Learning | Risk Management
Christian Engel 0
Data Scientists im Gesundheitswesen – Chancen im morbiditätsorientierten Risikostrukturausgleich

Seit 2009 sollen der Gesundheitsfonds und der morbiditätsorientierte Risikostrukturausgleich in der deutschen gesetzlichen Krankenversicherung (GKV) für eine ausgewogenere Verteilung der Einnahmen bei den Kassen sorgen. Ziel ist ein sozialer Ausgleich für unterschiedliche Einkommensstruktur und Krankheitslasten bei den Mitgliedern. Über einen sehr interessanten Nebeneffekt, den dieses regulatorische System ungewollt ausgelöst hat,

Artificial Intelligence | Machine Learning
Alison Bolen 0
12 machine learning articles to catch you up on the latest trend

Machine learning is a type of artificial intelligence that uses algorithms to iteratively learn from data and finds hidden insights in data without being explicitly programmed where to look or how to find the answer. Here at SAS, we hear questions every day about machine learning: what it is, how it compares to

Analytics | Fraud & Security Intelligence
John Stultz 0
What can agencies learn from massive Medicaid fraud busts?

On June 22nd, the U.S. Department of Justice announced the largest Medicaid fraud bust in history. The National Health Care Fraud Takedown included 301 defendants charged, $900 million in false billings, 61 medical professionals and 29 doctors, across 36 states. In another case, investigators in New York uncovered more than

Data for Good | Data Management
Dan Stevens 0
A playbook for analyzing real world intelligence in a health care setting

Real world data collected in a functioning health care setting instead of a controlled clinical environment can provide opportunities for new and deeper insights across life science and health care organizations. However, managing, analyzing and extracting actionable information from the varied available sources can present unique challenges. The sheer size of these

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