Patient encounters and care transitions in one community supported by automated query-based health information exchange. Academic Article uri icon

Overview

MeSH

  • Adolescent
  • Adult
  • Aged
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • New York
  • Young Adult

MeSH Major

  • Health Information Management
  • Information Dissemination
  • Medical Records Systems, Computerized
  • Patient Transfer

abstract

  • Care transitions from one facility to another threaten patient safety due to the potential loss of critical clinical information. Electronic clinical data exchange may address the problem. Approaches to exchange range from manual directed exchange, or sending point-to-point messages, to automated query-based health information exchange (HIE), or aggregating data from multiple sources. In this study, we measured the extent to which automated query-based HIE supported patient encounters and care transitions in one community. During the 23-month study period, 41% (n=33,219) of affirmatively consented patients had at least one encounter supported by automated query-based HIE. Of these patients, 41% (n=13,685) visited two or more facilities and accounted for 68% of total encounters. Of total encounters, 28% (n=40,828) were care transitions from one facility to another. Findings suggest that automated query-based HIE may support care transitions with efficient information sharing and assist United States providers in achieving stage two of meaningful use.

publication date

  • 2013

has subject area

  • Adolescent
  • Adult
  • Aged
  • Cross-Sectional Studies
  • Female
  • Health Information Management
  • Humans
  • Information Dissemination
  • Male
  • Medical Records Systems, Computerized
  • Middle Aged
  • New York
  • Patient Transfer
  • Young Adult

Research

keywords

  • Journal Article

Identity

Language

  • eng

PubMed Central ID

  • PMC3900171

PubMed ID

  • 24551330

Additional Document Info

start page

  • 175

end page

  • 184

volume

  • 2013