Journal of biomedical informatics
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More research is needed to understand the effects of health information technology (HIT) and health information exchange (HIE) on quality, safety, efficiency, finances, consumers and providers in community-based settings. New York State is investing heavily in HIT and HIE adoption through the HEAL NY program. ⋯ HITEC (The Health Information Technology Evaluation Collaborative) was established to measure systematically the effects of HIT and HIE on consumers, providers, health care quality, patient safety, public health, and financial return on investment in New York State, as no individual grantee is able to conduct cross-cutting evaluations. The results of these evaluations should inform decisions made by leaders in HIT and HIE in New York State and across the nation.
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Predicting the survival status of Intensive Care patients at the end of their hospital stay is useful for various clinical and organizational tasks. Current models for predicting mortality use logistic regression models that rely solely on data collected during the first 24h of patient admission. These models do not exploit information contained in daily organ failure scores which nowadays are being routinely collected in many Intensive Care Units. ⋯ We compared our models with ones that were developed on the same patient subpopulations but which did not use the episodes. The new models show improved performance on each of the five days. They also provide insight in the effect of the various selected episodes on mortality.