Literature DB >> 16085454

The significance of cognitive modeling in building healthcare interfaces.

Constance M Johnson1, James P Turley.   

Abstract

BACKGROUND: Although there are many reasons that widespread adoption of healthcare information systems has not transpired, one reason is a failure to take into account the cognitive needs of the users. AIM: To understand the cognitive needs of nurses and physicians and determine how these needs should influence the design of healthcare interfaces. DESIGN OF STUDY: A qualitative and quantitative study that compares how nurses and physicians comprehend patient information.
SETTING: Twenty-four registered nurses and twenty-four physicians working in the specialties of gastrointestinal or internal medicine.
METHODS: Each clinician reviewed two mock electronic medical records and summarized the cases using a think-aloud protocol. All verbalizations were coded for medical and conceptual information.
RESULTS: The nurses included a larger mean proportion (p<0.001) of recalls than did the physicians. As compared to the nurses, the physicians included a statistically significant (p<0.001) larger mean proportion of inferences, conditional statements, and interventions. The nurses concentrated on functional problems, whereas the physicians focused on diagnosis, treatment, and management.
CONCLUSION: The main cognitive differences between the physicians and the nurses are explained through the differences in their practice models. Therefore, healthcare IT must develop separate interfaces for each discipline to address their unique needs.

Entities:  

Mesh:

Year:  2005        PMID: 16085454     DOI: 10.1016/j.ijmedinf.2005.06.003

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


  8 in total

1.  Primary care physician's attitude towards the German e-health card project--determinants and implications.

Authors:  Nicole Ernstmann; Oliver Ommen; Melanie Neumann; Antje Hammer; Raymond Voltz; Holger Pfaff
Journal:  J Med Syst       Date:  2009-06       Impact factor: 4.460

2.  Modeling complex workflow in molecular diagnostics: design specifications of laboratory software for support of personalized medicine.

Authors:  Mohamed E Gomah; James P Turley; Huimin Lu; Dan Jones
Journal:  J Mol Diagn       Date:  2009-12-10       Impact factor: 5.568

3.  Impact of a prototype visualization tool for new information in EHR clinical documents.

Authors:  O Farri; A Rahman; K A Monsen; R Zhang; S V Pakhomov; D S Pieczkiewicz; S M Speedie; G B Melton
Journal:  Appl Clin Inform       Date:  2012-10-31       Impact factor: 2.342

4.  Advancing cognitive engineering methods to support user interface design for electronic health records.

Authors:  Thankam P Thyvalikakath; Michael P Dziabiak; Raymond Johnson; Miguel Humberto Torres-Urquidy; Amit Acharya; Jonathan Yabes; Titus K Schleyer
Journal:  Int J Med Inform       Date:  2014-01-20       Impact factor: 4.046

Review 5.  A systematic review of mixed methods research on human factors and ergonomics in health care.

Authors:  Pascale Carayon; Sarah Kianfar; Yaqiong Li; Anping Xie; Bashar Alyousef; Abigail Wooldridge
Journal:  Appl Ergon       Date:  2015-06-18       Impact factor: 3.661

6.  Quantifying the Qualitative with Epistemic Network Analysis: A Human Factors Case Study of Task-Allocation Communication in a Primary Care Team.

Authors:  Abigail R Wooldridge; Pascale Carayon; David Williamson Shaffer; Brendan Eagan
Journal:  IISE Trans Healthc Syst Eng       Date:  2018-01-29

7.  Participatory design of probability-based decision support tools for in-hospital nurses.

Authors:  Alvin D Jeffery; Laurie L Novak; Betsy Kennedy; Mary S Dietrich; Lorraine C Mion
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

8.  Critical factors influencing physicians' intention to use computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model.

Authors:  Ju-Ling Hsiao; Rai-Fu Chen
Journal:  BMC Med Inform Decis Mak       Date:  2016-01-16       Impact factor: 2.796

  8 in total

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