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J Hosp Med. 2016 Nov;11 Suppl 1:S18-S24. doi: 10.1002/jhm.2652.

Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals.

Author information

1
Division of Research, Kaiser Permanente Northern California, Oakland, California. schorr-christa@cooperhealth.edu, alex.dummett@kp.org, russ.granich@kp.org, gabriel.escobar@kp.org, gabriel.escobar@kp.org.
2
Department of Inpatient Pediatrics, Kaiser Permanente Medical Center, Walnut Creek, California. schorr-christa@cooperhealth.edu, alex.dummett@kp.org, russ.granich@kp.org, gabriel.escobar@kp.org, gabriel.escobar@kp.org.
3
Division of Research, Kaiser Permanente Northern California, Oakland, California.
4
IMG-Systems Integration, Kaiser Permanente, Pleasanton, California.
5
Kaiser Permanente HealthConnect, Pleasanton, California.
6
Kaiser East Bay Medical Center, Oakland, California.
7
Kaiser Permanente Vacaville Medical Center, Vacaville, California.
8
Department of Critical Care, Kaiser Permanente Medical Center, Santa Clara, California.
9
Decision Support, Kaiser Foundation Health Plan, Oakland, California.

Abstract

Patients who deteriorate in the hospital outside the intensive care unit (ICU) have higher mortality and morbidity than those admitted directly to the ICU. As more hospitals deploy comprehensive inpatient electronic medical records (EMRs), attempts to support rapid response teams with automated early detection systems are becoming more frequent. We aimed to describe some of the technical and operational challenges involved in the deployment of an early detection system. This 2-hospital pilot, set within an integrated healthcare delivery system with 21 hospitals, had 2 objectives. First, it aimed to demonstrate that severity scores and probability estimates could be provided to hospitalists in real time. Second, it aimed to surface issues that would need to be addressed so that deployment of the early warning system could occur in all remaining hospitals. To achieve these objectives, we first established a rationale for the development of an early detection system through the analysis of risk-adjusted outcomes. We then demonstrated that EMR data could be employed to predict deteriorations. After addressing specific organizational mandates (eg, defining the clinical response to a probability estimate), we instantiated a set of equations into a Java application that transmits scores and probability estimates so that they are visible in a commercially available EMR every 6 hours. The pilot has been successful and deployment to the remaining hospitals has begun. Journal of Hospital Medicine 2016;11:S18-S24.

PMID:
27805795
PMCID:
PMC5510649
DOI:
10.1002/jhm.2652
[Indexed for MEDLINE]
Free PMC Article

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