Ruben Amarasingham

Research Paper: Measuring Clinical Information Technology in the ICU Setting: Application in a Quality Improvement Collaborative

Marie Diener-West, Ruben Amarasingham, Peter J. Pronovost, 2007, J. Am. Medical Informatics Assoc..

Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models

Ying Ma, Bin Xie, Ruben Amarasingham, 2015, BMC Medical Informatics and Decision Making.

Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data

Ruben Amarasingham, Song Zhang, Ethan A. Halm, 2013, BMC Medical Informatics and Decision Making.

Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm

Ying Ma, Oanh K. Nguyen, Ruben Amarasingham, 2013, BMC Medical Informatics and Decision Making.

An Automated Model to Identify Adult Medicine Patients at Risk for 30-Day Readmission Using Electronic Medical Record Data

Ying Ma, Bin Xie, Ruben Amarasingham, 2013, AMIA.

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges

Suchi Saria, Lucila Ohno-Machado, Sudha Ram, 2016, EGEMS.

Clinical Information Technology Capabilities in Four U.S. Hospitals: Testing a New Structural Performance Measure

Marie Diener-West, Ruben Amarasingham, Harold Lehmann, 2006, Medical care.

Envisioning a Social-Health Information Exchange as a Platform to Support a Patient-Centered Medical Neighborhood: A Feasibility Study

Ruben Amarasingham, Connie V. Chan, Oanh Kieu Nguyen, 2014, Journal of General Internal Medicine.

An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmission.

Ruben Amarasingham, Don C Rockey, Amit G Singal, 2013, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

The legal and ethical concerns that arise from using complex predictive analytics in health care.

Ruben Amarasingham, Bin Xie, I Glenn Cohen, 2014, Health affairs.

Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study

Ruben Amarasingham, Bin Xie, Ethan A Halm, 2013, BMJ quality & safety.

An Electronic Medical Record-Based Model to Predict 30-Day Risk of Readmission and Death Among HIV-Infected Inpatients

Richard Kaplan, Ruben Amarasingham, Ethan A. Halm, 2012, Journal of acquired immune deficiency syndromes.