Towards public health decision support

A systematic review of bidirectional communication approaches

Brian Dixon, Roland E. Gamache, Shaun Grannis

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Objective: To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. Materials and Methods: A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors. Results: Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decisionmaking. Conclusions: Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows.

Original languageEnglish
Pages (from-to)577-583
Number of pages7
JournalJournal of the American Medical Informatics Association
Volume20
Issue number3
DOIs
StatePublished - 2013

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Public Health
Communication
Expert Systems
Workflow
Electronic Health Records
Health
Research
Information Systems
MEDLINE
Population
Decision Making
Epidemiology

ASJC Scopus subject areas

  • Health Informatics
  • Medicine(all)

Cite this

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