Literature DB >> 10978913

Power of expression in the electronic patient record: structured data or narrative text?

C Lovis1, R H Baud, P Planche.   

Abstract

This paper presents the authors' experience with the development and use of a document-centered electronic patient record (EPR) in a large teaching hospital. The development of the document-centered EPR began with the formulation of a set of critical hypotheses to facilitate both the continuation of the best medical practice and the implementation and use of the EPR. An alternate and more conventional approach - the data-centered EPR - is compared with the document-centered EPR. Various benefits and pitfalls are discussed. Finally, the choice was to offer both solutions in a tightly linked system. The need for an EPR which combines the document and data centered approaches is a reflection of the more general discussion of what the medical record will be in the future. All too often, the need for structured data conflicts with the need for free texts and the power of expression. It is not easy to evaluate the consequences of this initial decision. However, changing the foundations of the EPR after its implementation is difficult and expensive. Therefore, the selection of the correct orientation in a given hospital requires a broad-based discussion.

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Year:  2000        PMID: 10978913     DOI: 10.1016/s1386-5056(00)00079-4

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  13 in total

1.  Fast exact string pattern-matching algorithms adapted to the characteristics of the medical language.

Authors:  C Lovis; R H Baud
Journal:  J Am Med Inform Assoc       Date:  2000 Jul-Aug       Impact factor: 4.497

2.  Evaluation of a command-line parser-based order entry pathway for the Department of Veterans Affairs electronic patient record.

Authors:  C Lovis; M K Chapko; D P Martin; T H Payne; R H Baud; P J Hoey; S D Fihn
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

3.  Developing an appropriate EPR system for the Greek primary care setting.

Authors:  Dimitris K Kounalakis; Christos Lionis; Inge Okkes; Henk Lamberts
Journal:  J Med Syst       Date:  2003-06       Impact factor: 4.460

4.  Arthritis quality indicators for the Veterans Administration: implications for electronic data collection, storage format, quality assessment, and clinical decision support.

Authors:  Carl A Williams; Angelia D Mosley-Williams; J Marc Overhage
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

Review 5.  Electronic medical records (EMRs), epidemiology, and epistemology: reflections on EMRs and future pediatric clinical research.

Authors:  Richard C Wasserman
Journal:  Acad Pediatr       Date:  2011-05-31       Impact factor: 3.107

6.  Collaborative search in electronic health records.

Authors:  Kai Zheng; Qiaozhu Mei; David A Hanauer
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

7.  Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction.

Authors:  Hanna Suominen; Maree Johnson; Liyuan Zhou; Paula Sanchez; Raul Sirel; Jim Basilakis; Leif Hanlen; Dominique Estival; Linda Dawson; Barbara Kelly
Journal:  J Am Med Inform Assoc       Date:  2014-10-21       Impact factor: 4.497

8.  Comparison of information content of structured and narrative text data sources on the example of medication intensification.

Authors:  Alexander Turchin; Maria Shubina; Eugene Breydo; Merri L Pendergrass; Jonathan S Einbinder
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

9.  Text data extraction for a prospective, research-focused data mart: implementation and validation.

Authors:  Monique Hinchcliff; Eric Just; Sofia Podlusky; John Varga; Rowland W Chang; Warren A Kibbe
Journal:  BMC Med Inform Decis Mak       Date:  2012-09-13       Impact factor: 2.796

10.  Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies.

Authors:  Helen Allvin; Elin Carlsson; Hercules Dalianis; Riitta Danielsson-Ojala; Vidas Daudaravičius; Martin Hassel; Dimitrios Kokkinakis; Heljä Lundgrén-Laine; Gunnar H Nilsson; Oystein Nytrø; Sanna Salanterä; Maria Skeppstedt; Hanna Suominen; Sumithra Velupillai
Journal:  J Biomed Semantics       Date:  2011-07-14
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