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Patient-centered care requires a patient-oriented workflow model.

TitlePatient-centered care requires a patient-oriented workflow model.
Publication TypeJournal Article
Year of Publication2013
AuthorsOzkaynak, M, Brennan, PFlatley, Hanauer, DA, Johnson, S, Aarts, J, Zheng, K, Haque, SN
JournalJ Am Med Inform Assoc
Volume20
Issuee1
Paginatione14-6
Date Published2013 Jun
ISSN1527-974X
KeywordsDelivery of Health Care, Humans, Medical Informatics, Patient-Centered Care, Workflow
Abstract

Effective design of health information technology (HIT) for patient-centered care requires consideration of workflow from the patient's perspective, termed 'patient-oriented workflow.' This approach organizes the building blocks of work around the patients who are moving through the care system. Patient-oriented workflow complements the more familiar clinician-oriented workflow approaches, and offers several advantages, including the ability to capture simultaneous, cooperative work, which is essential in care delivery. Patient-oriented workflow models can also provide an understanding of healthcare work taking place in various formal and informal health settings in an integrated manner. We present two cases demonstrating the potential value of patient-oriented workflow models. Significant theoretical, methodological, and practical challenges must be met to ensure adoption of patient-oriented workflow models. Patient-oriented workflow models define meaningful system boundaries and can lead to HIT implementations that are more consistent with cooperative work and its emergent features.

DOI10.1136/amiajnl-2013-001633
Alternate JournalJ Am Med Inform Assoc
PubMed ID23538724
PubMed Central IDPMC3715352
Grant ListP30 CA046592 / CA / NCI NIH HHS / United States
People: 
David Hanauer
University of Michigan Rogel Cancer Center at North Campus Research Complex
1600 Huron Parkway, Bldg 100, Rm 1004 
Mailing Address: 2800 Plymouth Rd, NCRC 100-1004
Ann Arbor, MI 48109-2800 
Ph. (734) 764-8848 Fax. (734) 615-0507

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592. The content is solely the responsibility
of the authors and does not necessarily represent the official views of the
National Institutes of Health.

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592 by the use of the following Cancer Center
Shared Resource(s): Biostatistics, Analytics & Bioinformatics; Flow Cytometry;
Transgenic Animal Models; Tissue and Molecular Pathology; Structure & Drug
Screening; Cell & Tissue Imaging; Experimental Irradiation; Preclinical
Imaging & Computational Analysis; Health Communications; Immune Monitoring;
Pharmacokinetics)

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