Literature DB >> 20603687

Electronic health records. A systematic review on quality requirements.

A Hoerbst1, E Ammenwerth.   

Abstract

OBJECTIVES: Since the first concepts for electronic health records (EHRs) in the 1990s, the content, structure, and technology of such records were frequently changed and adapted. The basic idea to support and enhance health care stayed the same over time. To reach these goals, it is crucial that EHRs themselves adhere to rigid quality requirements. The present review aims at describing the currently available, mainly non-functional, quality requirements with regard to electronic health records.
METHODS: A combined approach - systematic literature analysis and expert interviews - was used. The literature analysis as well as the expert interviews included sources/experts from different domains such as standards and norms, scientific literature and guidelines, and best practice. The expert interviews were performed by using problem-centric qualitative computer-assisted telephone interviews (CATIs) or face-to-face interviews. All of the data that was obtained was analyzed using qualitative content analysis techniques.
RESULTS: In total, more than 1200 requirements were identified of which 203 requirements were also mentioned during the expert interviews. The requirements are organized according to the ISO 9126 and the eEurope 2002 criteria. Categories with the highest number of requirements found include global requirements, (general) functional requirements and data security. The number of non-functional requirements found is by contrast lower.
CONCLUSION: The manuscript gives comprehensive insight into the currently available, primarily non-functional, EHR requirements. To our knowledge, there are no other publications that have holistically reported on this topic. The requirements identified can be used in different ways, e.g. the conceptual design, the development of EHR systems, as a starting point for further refinement or as a basis for the development of specific sets of requirements.

Mesh:

Year:  2010        PMID: 20603687     DOI: 10.3414/ME10-01-0038

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  22 in total

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Authors:  A Hoerbst; M Schweitzer
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2.  Improving Bridging from Informatics Theory to Practice.

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Review 3.  Teleneurology: is it really at a distance?

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4.  Preprocessing structured clinical data for predictive modeling and decision support. A roadmap to tackle the challenges.

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5.  Crucial factors for the acceptance of a computerized national medication list: insights into findings from the evaluation of the Austrian e-Medikation pilot.

Authors:  W O Hackl; A Hoerbst; G Duftschmid; W Gall; S Janzek-Hawlat; M Jung; K Woertz; W Dorda; E Ammenwerth
Journal:  Appl Clin Inform       Date:  2014-06-04       Impact factor: 2.342

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Authors:  Pierre Parrend; Timothée Mazzucotelli; Florent Colin; Pierre Collet; Jean-Louis Mandel
Journal:  J Med Syst       Date:  2017-11-16       Impact factor: 4.460

7.  eHealth 2015 Special Issue: Impact of Electronic Health Records on the Completeness of Clinical Documentation Generated during Diabetic Retinopathy Consultations.

Authors:  C Mitsch; P Huber; K Kriechbaum; C Scholda; G Duftschmid; T Wrba; U Schmidt-Erfurth
Journal:  Appl Clin Inform       Date:  2015-07-29       Impact factor: 2.342

8.  "EMERGing" Electronic Health Record Data Metrics: Insights and Implications for Assessing Residents' Clinical Performance in Emergency Medicine.

Authors:  Stefanie S Sebok-Syer; Lisa Shepherd; Allison McConnell; Adam M Dukelow; Robert Sedran; Lorelei Lingard
Journal:  AEM Educ Train       Date:  2020-08-09

Review 9.  The impact of eHealth on the quality and safety of health care: a systematic overview.

Authors:  Ashly D Black; Josip Car; Claudia Pagliari; Chantelle Anandan; Kathrin Cresswell; Tomislav Bokun; Brian McKinstry; Rob Procter; Azeem Majeed; Aziz Sheikh
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10.  Sensors vs. experts - a performance comparison of sensor-based fall risk assessment vs. conventional assessment in a sample of geriatric patients.

Authors:  Michael Marschollek; Anja Rehwald; Klaus-Hendrik Wolf; Matthias Gietzelt; Gerhard Nemitz; Hubertus Meyer zu Schwabedissen; Mareike Schulze
Journal:  BMC Med Inform Decis Mak       Date:  2011-06-28       Impact factor: 2.796

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