Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU.

Background: Patients in general medical-surgical wards who experience unplanned transfer to the intensive care unit (ICU) show evidence of physiologic derangement 6-24h prior to their deterioration. With increasing availability of electronic medical records (EMRs), automated early warning scores (EWSs) are becoming feasible.

Objective: To describe the development and performance of an automated EWS based on EMR data.

An electronic order set for acute myocardial infarction is associated with improved patient outcomes through better adherence to clinical practice guidelines.

Background: Adherence to evidence-based recommendations for acute myocardial infarction (AMI) remains unsatisfactory.

Objective: Quantifying association between using an electronic AMI order set (AMI-OS) and hospital processes and outcomes.

Design: Retrospective cohort study.

Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record.

Background: Ward patients who experience unplanned transfer to intensive care units have excess morbidity and mortality.

Objective: To develop a predictive model for prediction of unplanned transfer from the medical-surgical ward to intensive care (or death on the ward in a patient who was "full code") using data from a comprehensive inpatient electronic medical record (EMR).

Design: Retrospective case-control study; unit of analysis was a 12-hour patient shift.