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Understanding diagnostic processes in emergency departments: a mixed methods case study protocol

INTRODUCTION: Diagnostic processes in the emergency department (ED) involve multiple interactions among individuals who interface with information systems to access and record information. A better understanding of diagnostic processes is needed to mitigate errors. This paper describes a study proto...

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Autores principales: Daniel, Michelle, Park, SunYoung, Seifert, Colleen M, Chandanabhumma, P Paul, Fetters, Michael D, Wilson, Eric, Canvasser, Andrew B, Singh, Hardeep, Pasupathy, Kalyan, Mahajan, Prashant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475137/
https://www.ncbi.nlm.nih.gov/pubmed/34561251
http://dx.doi.org/10.1136/bmjopen-2020-044194
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author Daniel, Michelle
Park, SunYoung
Seifert, Colleen M
Chandanabhumma, P Paul
Fetters, Michael D
Wilson, Eric
Canvasser, Andrew B
Singh, Hardeep
Pasupathy, Kalyan
Mahajan, Prashant
author_facet Daniel, Michelle
Park, SunYoung
Seifert, Colleen M
Chandanabhumma, P Paul
Fetters, Michael D
Wilson, Eric
Canvasser, Andrew B
Singh, Hardeep
Pasupathy, Kalyan
Mahajan, Prashant
author_sort Daniel, Michelle
collection PubMed
description INTRODUCTION: Diagnostic processes in the emergency department (ED) involve multiple interactions among individuals who interface with information systems to access and record information. A better understanding of diagnostic processes is needed to mitigate errors. This paper describes a study protocol to map diagnostic processes in the ED as a foundation for developing future error mitigation strategies. METHODS AND ANALYSIS: This study of an adult and a paediatric academic ED uses a prospective mixed methods case study design informed by an ED-specific diagnostic decision-making model (the modified ED-National Academies of Sciences, Engineering and Medicine (NASEM) model) and two cognitive theories (dual process theory and distributed cognition). Data sources include audio recordings of patient and care team interactions, electronic health record data, observer field notes and stakeholder interviews. Multiple qualitative analysis methods will be used to explore diagnostic processes in situ, including systems information flow, human–human and human–system interactions and contextual factors influencing cognition. The study has three parts. Part 1 involves prospective field observations of patients with undifferentiated symptoms at high risk for diagnostic error, where each patient is followed throughout the entire care delivery process. Part 2 involves observing individual care team providers over a 4-hour window to capture their diagnostic workflow, team coordination and communication across multiple patients. Part 3 uses interviews with key stakeholders to understand different perspectives on the diagnostic process, as well as perceived strengths and vulnerabilities, in order to enrich the ED-NASEM diagnostic model. ETHICS AND DISSEMINATION: The University of Michigan Institutional Review Board approved this study, HUM00156261. This foundational work will help identify strengths and vulnerabilities in diagnostic processes. Further, it will inform the future development and testing of patient, provider and systems-level interventions for mitigating error and improving patient safety in these and other EDs. The work will be disseminated through journal publications and presentations at national and international meetings.
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spelling pubmed-84751372021-10-08 Understanding diagnostic processes in emergency departments: a mixed methods case study protocol Daniel, Michelle Park, SunYoung Seifert, Colleen M Chandanabhumma, P Paul Fetters, Michael D Wilson, Eric Canvasser, Andrew B Singh, Hardeep Pasupathy, Kalyan Mahajan, Prashant BMJ Open Emergency Medicine INTRODUCTION: Diagnostic processes in the emergency department (ED) involve multiple interactions among individuals who interface with information systems to access and record information. A better understanding of diagnostic processes is needed to mitigate errors. This paper describes a study protocol to map diagnostic processes in the ED as a foundation for developing future error mitigation strategies. METHODS AND ANALYSIS: This study of an adult and a paediatric academic ED uses a prospective mixed methods case study design informed by an ED-specific diagnostic decision-making model (the modified ED-National Academies of Sciences, Engineering and Medicine (NASEM) model) and two cognitive theories (dual process theory and distributed cognition). Data sources include audio recordings of patient and care team interactions, electronic health record data, observer field notes and stakeholder interviews. Multiple qualitative analysis methods will be used to explore diagnostic processes in situ, including systems information flow, human–human and human–system interactions and contextual factors influencing cognition. The study has three parts. Part 1 involves prospective field observations of patients with undifferentiated symptoms at high risk for diagnostic error, where each patient is followed throughout the entire care delivery process. Part 2 involves observing individual care team providers over a 4-hour window to capture their diagnostic workflow, team coordination and communication across multiple patients. Part 3 uses interviews with key stakeholders to understand different perspectives on the diagnostic process, as well as perceived strengths and vulnerabilities, in order to enrich the ED-NASEM diagnostic model. ETHICS AND DISSEMINATION: The University of Michigan Institutional Review Board approved this study, HUM00156261. This foundational work will help identify strengths and vulnerabilities in diagnostic processes. Further, it will inform the future development and testing of patient, provider and systems-level interventions for mitigating error and improving patient safety in these and other EDs. The work will be disseminated through journal publications and presentations at national and international meetings. BMJ Publishing Group 2021-09-24 /pmc/articles/PMC8475137/ /pubmed/34561251 http://dx.doi.org/10.1136/bmjopen-2020-044194 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Emergency Medicine
Daniel, Michelle
Park, SunYoung
Seifert, Colleen M
Chandanabhumma, P Paul
Fetters, Michael D
Wilson, Eric
Canvasser, Andrew B
Singh, Hardeep
Pasupathy, Kalyan
Mahajan, Prashant
Understanding diagnostic processes in emergency departments: a mixed methods case study protocol
title Understanding diagnostic processes in emergency departments: a mixed methods case study protocol
title_full Understanding diagnostic processes in emergency departments: a mixed methods case study protocol
title_fullStr Understanding diagnostic processes in emergency departments: a mixed methods case study protocol
title_full_unstemmed Understanding diagnostic processes in emergency departments: a mixed methods case study protocol
title_short Understanding diagnostic processes in emergency departments: a mixed methods case study protocol
title_sort understanding diagnostic processes in emergency departments: a mixed methods case study protocol
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475137/
https://www.ncbi.nlm.nih.gov/pubmed/34561251
http://dx.doi.org/10.1136/bmjopen-2020-044194
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