Literature DB >> 15694884

Designing the design phase of critical care devices: a cognitive approach.

Sameer Malhotra1, Archana Laxmisan, Alla Keselman, Jiajie Zhang, Vimla L Patel.   

Abstract

In this study, we show how medical devices used for patient care can be made safer if various cognitive factors involved in patient management are taken into consideration during the design phase. The objective of this paper is to describe a methodology for obtaining insights into patient safety features--derived from investigations of institutional decision making--that could be incorporated into medical devices by their designers. The design cycle of a product, be it a medical device, software, or any kind of equipment, is similar in concept, and course. Through a series of steps we obtained information related to medical errors and patient safety. These were then utilized to customize the generic device design cycle in ways that would improve the production of critical care devices. First, we provided individuals with different levels of expertise in the clinical, administrative, and engineering domains of a large hospital setting with hypothetical clinical scenarios, each of which described a medical error event involving health professionals and medical devices. Then, we asked our subjects to "think-aloud" as they read through each scenario. Using a set of questions as probes, we then asked our subjects to identify key errors and attribute them to various players. We recorded and transcribed the responses and conducted a cognitive task analysis of each scenario to identify different entities as "constant," "partially modifiable," or "modifiable." We compared our subjects' responses to the results of the task analysis and then mapped them to the modifiable entities. Lastly, we coded the relationships of these entities to the errors in medical devices. We propose that the incorporation of these modifiable entities into the device design cycle could improve the device end product for better patient safety management.

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Year:  2005        PMID: 15694884     DOI: 10.1016/j.jbi.2004.11.001

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


  5 in total

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2.  Workflow modeling in critical care: piecing your own puzzle.

Authors:  Sameer Malhotra; Desmond Jordan; Vimla L Patel
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  An interface-driven analysis of user interactions with an electronic health records system.

Authors:  Kai Zheng; Rema Padman; Michael P Johnson; Herbert S Diamond
Journal:  J Am Med Inform Assoc       Date:  2008-12-11       Impact factor: 4.497

4.  How the presentation of patient information and decision-support advisories influences opioid prescribing behavior: A simulation study.

Authors:  Mustafa I Hussain; Ariana M Nelson; Brent G Yeung; Lauren Sukumar; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

5.  What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project.

Authors:  Giuseppe Fico; Liss Hernanzez; Jorge Cancela; Arianna Dagliati; Lucia Sacchi; Antonio Martinez-Millana; Jorge Posada; Lidia Manero; Jose Verdú; Andrea Facchinetti; Manuel Ottaviano; Konstantia Zarkogianni; Konstantina Nikita; Leif Groop; Rafael Gabriel-Sanchez; Luca Chiovato; Vicente Traver; Juan Francisco Merino-Torres; Claudio Cobelli; Riccardo Bellazzi; Maria Teresa Arredondo
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-16       Impact factor: 2.796

  5 in total

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