Literature DB >> 24105625

Sources of variation in primary care clinical workflow: implications for the design of cognitive support.

Laura G Militello1, Nicole B Arbuckle, Jason J Saleem, Emily Patterson, Mindy Flanagan, David Haggstrom, Bradley N Doebbeling.   

Abstract

This article identifies sources of variation in clinical workflow and implications for the design and implementation of electronic clinical decision support. Sources of variation in workflow were identified via rapid ethnographic observation, focus groups, and interviews across a total of eight medical centers in both the Veterans Health Administration and academic medical centers nationally regarded as leaders in developing and using clinical decision support. Data were reviewed for types of variability within the social and technical subsystems and the external environment as described in the sociotechnical systems theory. Two researchers independently identified examples of variation and their sources, and then met with each other to discuss them until consensus was reached. Sources of variation were categorized as environmental (clinic staffing and clinic pace), social (perception of health information technology and real-time use with patients), or technical (computer access and information access). Examples of sources of variation within each of the categories are described and discussed in terms of impact on clinical workflow. As technologies are implemented, barriers to use become visible over time as users struggle to adapt workflow and work practices to accommodate new technologies. Each source of variability identified has implications for the effective design and implementation of useful health information technology. Accommodating moderate variability in workflow is anticipated to avoid brittle and inflexible workflow designs, while also avoiding unnecessary complexity for implementers and users.

Entities:  

Keywords:  Clinical decision support systems; electronic health records; ethnography; health information technology; workflow

Mesh:

Year:  2013        PMID: 24105625     DOI: 10.1177/1460458213476968

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  9 in total

1.  The myth of standardized workflow in primary care.

Authors:  G Talley Holman; John W Beasley; Ben-Tzion Karsh; Jamie A Stone; Paul D Smith; Tosha B Wetterneck
Journal:  J Am Med Inform Assoc       Date:  2015-09-02       Impact factor: 4.497

Review 2.  Reasons (not) to Spend a Few Billions More on EHRs: How Human Factors Research Can Help.

Authors:  G Declerck; X Aimé
Journal:  Yearb Med Inform       Date:  2014-08-15

3.  More than a Database: Understanding Community Resource Referrals within a Socio-Technical Systems Framework.

Authors:  Bradley E Iott; Cassandra Eddy; Cristian Casanova; Tiffany C Veinot
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

Review 4.  Impacts of Operational Failures on Primary Care Physicians' Work: A Critical Interpretive Synthesis of the Literature.

Authors:  Carol Sinnott; Alexandros Georgiadis; John Park; Mary Dixon-Woods
Journal:  Ann Fam Med       Date:  2020-03       Impact factor: 5.166

5.  Usability and Workflow Evaluation of "RhEumAtic Disease activitY" (READY). A Mobile Application for Rheumatology Patients and Providers.

Authors:  Po-Yin Yen; Barbara Lara; Marcelo Lopetegui; Aseem Bharat; Stacy Ardoin; Bernadette Johnson; Puneet Mathur; Peter J Embi; Jeffrey R Curtis
Journal:  Appl Clin Inform       Date:  2016-11-02       Impact factor: 2.342

6.  User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care.

Authors:  Robert S Rudin; Sofia Perez; Jorge A Rodriguez; Jessica Sousa; Savanna Plombon; Adriana Arcia; Dinah Foer; David W Bates; Anuj K Dalal
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

7.  Designing Colorectal Cancer Screening Decision Support: A Cognitive Engineering Enterprise.

Authors:  Laura G Militello; Jason J Saleem; Morgan R Borders; Christen E Sushereba; Donald Haverkamp; Steven P Wolf; Bradley N Doebbeling
Journal:  J Cogn Eng Decis Mak       Date:  2016-03

Review 8.  Automated methods for the summarization of electronic health records.

Authors:  Rimma Pivovarov; Noémie Elhadad
Journal:  J Am Med Inform Assoc       Date:  2015-04-15       Impact factor: 4.497

9.  Impact of a medical scribe on clinical efficiency and quality in an academic general internal medicine practice.

Authors:  Anastasia Pozdnyakova Piersa; Neda Laiteerapong; Sandra A Ham; Felipe Fernandez Del Castillo; Sachin Shah; Deborah L Burnet; Wei Wei Lee
Journal:  BMC Health Serv Res       Date:  2021-07-11       Impact factor: 2.655

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.