Towards standardisation of evidence-based clinical care process specifications

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dc.citation.issue4
dc.citation.volume26
dc.contributor.authorMcLachlan S
dc.contributor.authorKyrimi E
dc.contributor.authorDube K
dc.contributor.authorHitman G
dc.contributor.authorSimmonds J
dc.contributor.authorFenton N
dc.date.available2020-12
dc.date.issued2020-12
dc.description.abstractThere is a strong push towards standardisation of treatment approaches, care processes and documentation of clinical practice. However, confusion persists regarding terminology and description of many clinical care process specifications which this research seeks to resolve by developing a taxonomic characterisation of clinical care process specifications. Literature on clinical care process specifications was analysed, creating the starting point for identifying common characteristics and how each is constructed and used in the clinical setting. A taxonomy for clinical care process specifications is presented. The De Bleser approach to limited clinical care process specifications characterisation was extended and each clinical care process specification is successfully characterised in terms of purpose, core elements and relationship to the other clinical care process specification types. A case study on the diagnosis and treatment of Type 2 Diabetes in the United Kingdom was used to evaluate the taxonomy and demonstrate how the characterisation framework applies. Standardising clinical care process specifications ensures that the format and content are consistent with expectations, can be read more quickly and high-quality information can be recorded about the patient. Standardisation also enables computer interpretability, which is important in integrating Learning Health Systems into the modern clinical environment. The approach presented allows terminologies for clinical care process specifications that were widely used interchangeably to be easily distinguished, thus, eliminating the existing confusion.
dc.description.publication-statusPublished
dc.format.extent2512 - 2537
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000524169600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifierARTN 1460458220906069
dc.identifier.citationHEALTH INFORMATICS JOURNAL, 2020, 26 (4), pp. 2512 - 2537
dc.identifier.doi10.1177/1460458220906069
dc.identifier.eissn1741-2811
dc.identifier.elements-id431148
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1460-4582
dc.identifier.urihttps://hdl.handle.net/10179/15340
dc.publisherSAGE Journals
dc.relation.isPartOfHEALTH INFORMATICS JOURNAL
dc.subjectcaremaps
dc.subjectclinical care process specifications
dc.subjectclinical documentation
dc.subjectclinical pathways
dc.subjectevidence-based practice
dc.subjectstandardisation
dc.subject.anzsrc0806 Information Systems
dc.subject.anzsrc0807 Library and Information Studies
dc.titleTowards standardisation of evidence-based clinical care process specifications
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Mathematical and Computational Sciences
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