Literature DB >> 20841678

Developing a user-centered voluntary medical incident reporting system.

Lei Hua1, Yang Gong.   

Abstract

Medical errors are one of leading causes of death among adults in the United States. According to the Institute of Medicine, reporting of medical incidents could be a cornerstone to learn from errors and to improve patient safety, if incident data are collected in a properly structured format which is useful for the detection of patterns, discovery of underlying factors, and generation of solutions. Globally, a number of medical incident reporting systems were deployed for collecting observable incident data in care delivery organizations (CDO) over the past several years. However, few researches delved into design of user-centered reporting system for improving completeness and accuracy of medical incident collection, let alone design models created for other institutes to follow. In this paper, we introduce the problems identified in a current using voluntary reporting system and our effort is being made towards complete, accurate and useful user-centered new reporting system through a usability engineering process.

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Year:  2010        PMID: 20841678

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Does user-centred design affect the efficiency, usability and safety of CPOE order sets?

Authors:  Julie Chan; Kaveh G Shojania; Anthony C Easty; Edward E Etchells
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

2.  Leveraging user's performance in reporting patient safety events by utilizing text prediction in narrative data entry.

Authors:  Yang Gong; Lei Hua; Shen Wang
Journal:  Comput Methods Programs Biomed       Date:  2016-04-08       Impact factor: 5.428

3.  Text prediction on structured data entry in healthcare: a two-group randomized usability study measuring the prediction impact on user performance.

Authors:  L Hua; S Wang; Y Gong
Journal:  Appl Clin Inform       Date:  2014-03-19       Impact factor: 2.342

  3 in total

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