Using electronic health records and nursing assessment to redesign clinical early recognition systems

Muge Capan, Pan Wu, Michele Campbell, Susan Mascioli and Eric V Jackson

Health Systems, 2017, vol. 6, issue 2, 112-121

Abstract: As health-care organizations transition from paper to electronic documentation systems, capturing the nursing assessment electronically can play a fundamental role in transforming health-care delivery. Especially in preventive health, electronic capture of nursing assessment, combined with vital sign-based monitoring, can support early detection of physiological deterioration of patients. While vital sign-based Early Warning Systems have the potential to detect signals of physiological deterioration, their clinical interpretation and integration into the workflow in hospital-based care setting remain a challenge. This study presents a clinical early recognition algorithm using electronic health records (EHRs) coupled with an electronic Nurse Screening Assessment (NSA) that targets various health assessment categories and its integration into the nursing workflow. Data was collected retrospectively from a single institution (N=2,405 visits). χ2 tests showed significant differences between algorithms with and without NSA (P

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1057/hs.2015.19 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:thssxx:v:6:y:2017:i:2:p:112-121

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/thss20

DOI: 10.1057/hs.2015.19

Access Statistics for this article

Health Systems is currently edited by Sally Brailsford

More articles in Health Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().