Clinical information technologies and inpatient outcomes: a multiple hospital study

R Amarasingham, L Plantinga… - Archives of internal …, 2009 - jamanetwork.com
Background Despite speculation that clinical information technologies will improve clinical
and financial outcomes, few studies have examined this relationship in a large number of …

Predicting all‐cause readmissions using electronic health record data from the entire hospitalization: model development and comparison

…, B Xie, F Velasco, R Amarasingham… - Journal of hospital …, 2016 - Wiley Online Library
BACKGROUND Incorporating clinical information from the full hospital course may improve
prediction of 30‐day readmissions. OBJECTIVE To develop an all‐cause readmissions risk …

An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data

R Amarasingham, BJ Moore, YP Tabak… - Medical care, 2010 - journals.lww.com
Background: A real-time electronic predictive model that identifies hospitalized heart failure
(HF) patients at high risk for readmission or death may be valuable to clinicians and …

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

IG Cohen, R Amarasingham, A Shah, B Xie, B Lo - Health affairs, 2014 - healthaffairs.org
Predictive analytics, or the use of electronic algorithms to forecast future events in real time,
makes it possible to harness the power of big data to improve the health of patients and …

Implementing electronic health care predictive analytics: considerations and challenges

R Amarasingham, RE Patzer, M Huesch… - Health …, 2014 - healthaffairs.org
The use of predictive modeling for real-time clinical decision making is increasingly
recognized as a way to achieve the Triple Aim of improving outcomes, enhancing patients' …

Use of administrative claims data for identifying patients with cirrhosis

…, Y Ma, C Clark, R Amarasingham… - Journal of clinical …, 2013 - journals.lww.com
Background: Administrative data are used in clinical research, but the validity of ICD-9 codes
to identify cirrhotic patients has not been well established. Goals: To determine the …

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

R Amarasingham, PC Patel, K Toto… - BMJ quality & …, 2013 - qualitysafety.bmj.com
Objective To test a multidisciplinary approach to reduce heart failure (HF) readmissions that
tailors the intensity of care transition intervention to the risk of the patient using a suite of …

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

…, JA Cuthbert, DC Rockey, R Amarasingham - Clinical …, 2013 - Elsevier
Background & Aims Patients with cirrhosis have 1-month rates of readmission as high as
35%. Early identification of high-risk patients could permit interventions to reduce …

A phytochemical survey of Malaya part III. Alkaloids and saponins

RD Amarasingham, NG Bisset, AH Millard, MC Woods - Economic Botany, 1964 - Springer
A phytochemical survey of Malaya Part III. alkaloids and saponins Page 1 A Phytochemical
Survey of Malaya Part III. Alkaloids and Saponins RD AMARASINGHAM, NG BISSET AH …

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

…, CE Girod, L Cooper, R Amarasingham - BMC medical informatics …, 2013 - Springer
Background Accurate, timely and automated identification of patients at high risk for severe
clinical deterioration using readily available clinical information in the electronic medical …