Cited by 15Electronic Health Records SystemsMedical Coding and Health InformationData Quality and Management

Info-tsunami: surviving the storm with data quality probes

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Brown, Philip, Warmington, Victoria·2003·Journal of Innovation in Health Informatics

Abstract

As a result of the rapid expansion of electronically available clinical knowledge, clinicians are faced with potential information overload (info-tsunami). The use of data quality probes (DQPs) in primary care can encourage clinicians' awareness of, and improvement in, data quality entry over time. DQPs can also highlight areas of potential error or omission as well as good practice, which can impact directly upon the quality of patient care. In this paper, five specific conditions have been subjected to the use of a series of DQPs over a five-year period in order to assess and measure the performance of different initiatives on the quality of data capture and patient care.

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Crossref · 10.14236/jhi.v11i4.569

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Authors
Brown, P., & Warmington, V.
Affiliations
University of East Anglia (GB)
Venue
Journal of Innovation in Health Informatics
Publisher
Portico
Published
2003-12-01
Volume
11
Issue
4
Pages
229-237
ISSN
  • 1475-9985 (ISSN-L)
  • 2058-4555
OpenAlex
W2155430454
Cited by
15
References
1
Citations by year
2023: 1 · 2019: 2 · 2017: 1 · 2013: 1 · 2012: 1
FWCI
2.97
Type
journal article
Language
en
Open access
Licence
cc-by-sa
Locations
  • Journal of Innovation in Health Informatics (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Journal of Innovation in Health Informatics (BCS, The Chartered Institute for IT) (submittedVersion)
  • UEA Digital Repository (University of East Anglia) (submittedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
Keywords
information overload, electronic health records, data quality, primary care, clinical data entry, quality of care, clinical decision support, data capture
MeSH terms
Asthma, Coronary Disease, Diabetes Mellitus, England, Humans, Information Systems, Ischemia, Medical History Taking, Physician-Patient Relations, Primary Health Care, Research Design, Medical Records Systems, Computerized, Total Quality Management

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