Literature DB >> 22328458

Benefits and risks of structuring and/or coding the presenting patient history in the electronic health record: systematic review.

Bernard Fernando1, Dipak Kalra, Zoe Morrison, Emma Byrne, Aziz Sheikh.   

Abstract

BACKGROUND: Patient histories in electronic health records currently exist mainly in free text format thereby limiting the possibility that decision support technology may contribute to the accuracy and timeliness of clinical diagnoses. Structuring and/or coding make patient histories potentially computable.
METHODS: A systematic review was undertaken of the benefits and risks of structuring and/or coding patient history by searching nine international databases for published and unpublished studies over the period 1990-2010. The focus was on the current patient history, defined as information reported by a patient or the patient's caregiver about the patient's present health situation and health status. Findings were synthesised through a theoretically based textural analysis.
FINDINGS: Of the 9207 potentially eligible papers identified, 10 studies satisfied the eligibility criteria. There was evidence of a modest number of benefits associated with structuring the current patient history, including obtaining more complete clinical histories, improved accuracy of patient self-documented histories, and better associated decision-making by professionals. However, no studies demonstrated any resulting improvements in patient care or outcomes. When more detailed records were obtained through the use of a structured format no attempt was made to confirm if this additional information was clinically useful. No studies investigated possible risks associated with structuring the patient history. No studies examined coding of the patient history.
CONCLUSIONS: There is an insufficient evidence base for sound policy making on the benefits and risks of structuring and/or coding patient history. The authors suggest this field of enquiry warrants further investigation given the interest in use of decision support technology to aid diagnoses.

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Year:  2012        PMID: 22328458     DOI: 10.1136/bmjqs-2011-000450

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  8 in total

1.  Can structured EHR data support clinical coding? A data mining approach.

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Review 2.  The electronic health record for translational research.

Authors:  Luke V Rasmussen
Journal:  J Cardiovasc Transl Res       Date:  2014-07-29       Impact factor: 4.132

3.  A comparison of mental state examination documentation by junior clinicians in electronic health records before and after the introduction of a semi-structured assessment template (OPCRIT+).

Authors:  Sarah E M Lobo; James Rucker; Madeleine Kerr; Fidel Gallo; Giles Constable; Matthew Hotopf; Robert Stewart; Matthew Broadbent; Martin Baggaley; Simon Lovestone; Peter McGuffin; Myanthi Amarasinghe; Stuart Newman; Gunter Schumann; Philip J Brittain
Journal:  Int J Med Inform       Date:  2015-05-19       Impact factor: 4.046

4.  Personal electronic health records: understanding user requirements and needs in chronic cancer care.

Authors:  Ines Baudendistel; Eva Winkler; Martina Kamradt; Gerda Längst; Felicitas Eckrich; Oliver Heinze; Bjoern Bergh; Joachim Szecsenyi; Dominik Ose
Journal:  J Med Internet Res       Date:  2015-05-21       Impact factor: 5.428

5.  National evaluation of the benefits and risks of greater structuring and coding of the electronic health record: exploratory qualitative investigation.

Authors:  Zoe Morrison; Bernard Fernando; Dipak Kalra; Kathrin Cresswell; Aziz Sheikh
Journal:  J Am Med Inform Assoc       Date:  2013-11-01       Impact factor: 4.497

6.  A descriptive exploratory study of how admissions caused by medication-related harm are documented within inpatients' medical records.

Authors:  Matthew Reynolds; Mary Hickson; Ann Jacklin; Bryony Dean Franklin
Journal:  BMC Health Serv Res       Date:  2014-06-16       Impact factor: 2.655

7.  Querying archetype-based EHRs by search ontology-based XPath engineering.

Authors:  Stefan Kropf; Alexandr Uciteli; Katrin Schierle; Peter Krücken; Kerstin Denecke; Heinrich Herre
Journal:  J Biomed Semantics       Date:  2018-05-11

8.  Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes.

Authors:  Ilker Kose; John Rayner; Suayip Birinci; Mustafa Mahir Ulgu; Ismayil Yilmaz; Seyma Guner
Journal:  BMC Health Serv Res       Date:  2020-10-21       Impact factor: 2.655

  8 in total

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