Literature DB >> 21867774

TURF: toward a unified framework of EHR usability.

Jiajie Zhang1, Muhammad F Walji.   

Abstract

This paper presents a unified framework of EHR usability, called TURF, which is (1) a theory for describing, explaining, and predicting usability differences; (2) a method for defining, evaluating, and measuring usability objectively; (3) a process for designing built-in good usability; and (4) once fully developed, a potential principle for developing EHR usability guidelines and standards. TURF defines usability as how useful, usable, and satisfying a system is for the intended users to accomplish goals in the work domain by performing certain sequences of tasks. TURF provides a set of measures for each of the useful, usable, and satisfying dimensions of usability. TURF stands for task, user, representation, and function, which are the four components that determine the usability of an EHR system. These four components are described with theoretical descriptions along with examples of how usability is measured in several case studies. How TURF can be used to improve usability through redesign is also demonstrated in a case study. In summary, this paper states that usability can not only be defined scientifically under a coherent, unified framework, it can also be measured objectively and systematically.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21867774     DOI: 10.1016/j.jbi.2011.08.005

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  78 in total

1.  Using a unified usability framework to dramatically improve the usability of an EMR Module.

Authors:  Craig Harrington; Robert Wood; Joan Breuer; Oscar Pinzon; Rodney Howell; Manisha Pednekar; Min Zhu; Jiajie Zhang
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Reductions in Sepsis Mortality and Costs After Design and Implementation of a Nurse-Based Early Recognition and Response Program.

Authors:  Stephen L Jones; Carol M Ashton; Lisa Kiehne; Elizabeth Gigliotti; Charyl Bell-Gordon; Maureen Disbot; Faisal Masud; Beverly A Shirkey; Nelda P Wray
Journal:  Jt Comm J Qual Patient Saf       Date:  2015-11

3.  A Theoretical Framework for Understanding Creator-Consumer Information Interaction Behaviors in Healthcare Documentation Systems.

Authors:  Priyadarshini R Pennathur
Journal:  Appl Ergon       Date:  2020-01-10       Impact factor: 3.661

4.  Evaluation of a Korean version of a tool for assessing the incorporation of human factors into a medication-related decision support system: the I-MeDeSA.

Authors:  I Cho; J Lee; H Han; S Phansalkar; D W Bates
Journal:  Appl Clin Inform       Date:  2014-06-18       Impact factor: 2.342

5.  Developing Analytical Inspection Criteria for Health IT Personnel with Minimum Training in Cognitive Ergonomics: A Practical Solution to EHR Improving EHR Usability.

Authors:  Zhen Zhang; Amy Franklin; Muhammad Walji; Jiajie Zhang; Yang Gong
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

6.  Using TURF to understand the functions of interruptions.

Authors:  Vickie Nguyen; Nnaemeka Okafor; Jiajie Zhang; Amy Franklin
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

7.  Identifying consumer's needs of health information technology through an innovative participatory design approach among English- and Spanish-speaking urban older adults.

Authors:  R Lucero; B Sheehan; P Yen; O Velez; D Nobile-Hernandez; V Tiase
Journal:  Appl Clin Inform       Date:  2014-12-03       Impact factor: 2.342

8.  CDS in a Learning Health Care System: Identifying Physicians' Reasons for Rejection of Best-Practice Recommendations in Pneumonia through Computerized Clinical Decision Support.

Authors:  Barbara E Jones; Dave S Collingridge; Caroline G Vines; Herman Post; John Holmen; Todd L Allen; Peter Haug; Charlene R Weir; Nathan C Dean
Journal:  Appl Clin Inform       Date:  2019-01-02       Impact factor: 2.342

9.  Are three methods better than one? A comparative assessment of usability evaluation methods in an EHR.

Authors:  Muhammad F Walji; Elsbeth Kalenderian; Mark Piotrowski; Duong Tran; Krishna K Kookal; Oluwabunmi Tokede; Joel M White; Ram Vaderhobli; Rachel Ramoni; Paul C Stark; Nicole S Kimmes; Maxim Lagerweij; Vimla L Patel
Journal:  Int J Med Inform       Date:  2014-02-03       Impact factor: 4.046

10.  APPLYING HUMAN FACTORS ENGINEERING TO IMPROVE USABILITY AND WORKFLOW IN PATHOLOGY INFORMATICS.

Authors:  Austin F Mount-Campbell; Dan Hosseinzadeh; Metin Gurcan; Emily S Patterson
Journal:  Proc Int Symp Hum Factors Ergon Healthc       Date:  2017-05-15
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