Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare最新文献
Pub Date : 2023-03-01DOI: 10.1177/2327857923121025
A. Tabaie, A. Fong
Patient safety event reporting systems (PSRS) aim to identify safety hazards by encouraging hospital staff to report adverse events, errors, and potential errors in the healthcare system. PSRS collect different information regarding a safety event such as contributing factors and general event types. Users select contributing factors and general event types of a safety incident from predefined lists; therefore, most frequent general event types and contributing factors are commonly recorded together. Contributing factors are often related to the leading cause of an unsafe condition; therefore, identifying contributing factors can help with detecting and mitigating safety issues. In this study, we identified the general event types and contributing factors which were frequently recorded together. We calculated point-wise mutual information (PMI) between each pair to find the association between a contributing factor and a general event type. Our analysis demonstrated strong association between general event type and contributing factors which were most frequently recorded together. Fall and lost/impaired balance (PMI=15.12), skin/tissue and friction/shear (PMI=14.32), and blood bank and patient/sample incorrectly identified (PMI=13.78) were the three pairs of general event type and contributing factors which presented strong association.
{"title":"Analysis of General Event Types and Contributing Factors in Patient Safety System Data","authors":"A. Tabaie, A. Fong","doi":"10.1177/2327857923121025","DOIUrl":"https://doi.org/10.1177/2327857923121025","url":null,"abstract":"Patient safety event reporting systems (PSRS) aim to identify safety hazards by encouraging hospital staff to report adverse events, errors, and potential errors in the healthcare system. PSRS collect different information regarding a safety event such as contributing factors and general event types. Users select contributing factors and general event types of a safety incident from predefined lists; therefore, most frequent general event types and contributing factors are commonly recorded together. Contributing factors are often related to the leading cause of an unsafe condition; therefore, identifying contributing factors can help with detecting and mitigating safety issues. In this study, we identified the general event types and contributing factors which were frequently recorded together. We calculated point-wise mutual information (PMI) between each pair to find the association between a contributing factor and a general event type. Our analysis demonstrated strong association between general event type and contributing factors which were most frequently recorded together. Fall and lost/impaired balance (PMI=15.12), skin/tissue and friction/shear (PMI=14.32), and blood bank and patient/sample incorrectly identified (PMI=13.78) were the three pairs of general event type and contributing factors which presented strong association.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"103 - 107"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49151220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121010
Abdulrahman A Alhaider, Nathan Lau, Paul B. Davenport, Stimis R. Smith, Darrell W. DeWeese
Intrahospital transports rely on effective transmission of information between medical staff and information systems to support Distributed Situation Awareness (DSA) on patient status and transport requirements. This study presents the preliminary results a simulation model combining discrete event simulation (DES) and agent-based modeling (ABM) to quantify SA distribution and transactions for intrahospital transportation. The simulation model captured the transport requests, transport processes, and knowledge distribution and transactions between (human or machine) agents for intrahospital transports. Specifically, this paper presents the simulation results for the successful patient transport from 17 hospital inpatient units to the radiology department for (1) transport times and (2) transport cancellations. One-way t-tests did not reveal any significant differences in average transport time and number of cancelations between outputs of 100 simulation replications and historical data for 18-month operation. These results indicate that the simulation model represents real-world operation that can subsequently be used to test potential intervention to improve DSA in patient flow.
{"title":"Modeling and simulation for situation awareness distribution and transactions for intrahospital patient transports","authors":"Abdulrahman A Alhaider, Nathan Lau, Paul B. Davenport, Stimis R. Smith, Darrell W. DeWeese","doi":"10.1177/2327857923121010","DOIUrl":"https://doi.org/10.1177/2327857923121010","url":null,"abstract":"Intrahospital transports rely on effective transmission of information between medical staff and information systems to support Distributed Situation Awareness (DSA) on patient status and transport requirements. This study presents the preliminary results a simulation model combining discrete event simulation (DES) and agent-based modeling (ABM) to quantify SA distribution and transactions for intrahospital transportation. The simulation model captured the transport requests, transport processes, and knowledge distribution and transactions between (human or machine) agents for intrahospital transports. Specifically, this paper presents the simulation results for the successful patient transport from 17 hospital inpatient units to the radiology department for (1) transport times and (2) transport cancellations. One-way t-tests did not reveal any significant differences in average transport time and number of cancelations between outputs of 100 simulation replications and historical data for 18-month operation. These results indicate that the simulation model represents real-world operation that can subsequently be used to test potential intervention to improve DSA in patient flow.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"40 - 42"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47589598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121003
M. K. Smith, Margaret Dowst, Laura Thomson Farm
{"title":"The Critical Role of Developmental Psychology in Addressing Generational Stereotypes Associated With Use of Digital Health Technologies","authors":"M. K. Smith, Margaret Dowst, Laura Thomson Farm","doi":"10.1177/2327857923121003","DOIUrl":"https://doi.org/10.1177/2327857923121003","url":null,"abstract":"","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"12 - 13"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48988925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121040
Kyle D. Maddox, Deborah Ercolini, N. Chumbler, Tim Arnold, Kathleen Adams, Helen J. A. Fuller
Contextual inquiry and discount usability represent a powerful combination of human factors methods as a responsive and rapid approach to better understand end users’ interactions with a new electronic health record (EHR) system as an enterprise capability. Contextual inquiry is an approach to conducting ethnographic field studies and discount usability is a simplified and efficient technique to identify usability issues. This paper describes how the Veterans Health Administration (VHA) Office of Health Informatics Human Factors Engineering (OHI HFE) responded to a request from VHA leadership to provide rapid support to assess EHR post-implementation system performance to discover if there are barriers or shortcomings. The team utilized contextual inquiry methods and principles of discount usability to assess system usability and effectiveness in meeting end-user needs. OHI and the Electronic Health Record Modernization Integration Office (OEHRM IO) formed a team to conduct semi-structured interviews and observations with health care providers at a VHA facility to gather qualitative data showcasing representative users’ experiences with the EHR. The team analyzed the data collected to identify themes and created an affinity map and two service blueprints. It then used this information to produce a report of findings and recommendations. The study identified areas that required remediation, actions that would facilitate success, and opportunities for improvement. Key contributors to the success of this rapid and important effort included the team’s ability to accommodate a compressed schedule by carefully targeting scope; focusing on a smaller number of participants than originally planned; asking direct, targeted questions developed in advance; and capturing data during short interview and observation windows. The data collected also highlights opportunities to continue the use of discount usability methods, when necessary, to continuously improve OHI HFE data collection and achieve targeted quality improvement in a condensed timeframe.
{"title":"Lessons Learned Using Rapid Human Factors Methods: Condensed Timeline with Effective and Impactful Results","authors":"Kyle D. Maddox, Deborah Ercolini, N. Chumbler, Tim Arnold, Kathleen Adams, Helen J. A. Fuller","doi":"10.1177/2327857923121040","DOIUrl":"https://doi.org/10.1177/2327857923121040","url":null,"abstract":"Contextual inquiry and discount usability represent a powerful combination of human factors methods as a responsive and rapid approach to better understand end users’ interactions with a new electronic health record (EHR) system as an enterprise capability. Contextual inquiry is an approach to conducting ethnographic field studies and discount usability is a simplified and efficient technique to identify usability issues. This paper describes how the Veterans Health Administration (VHA) Office of Health Informatics Human Factors Engineering (OHI HFE) responded to a request from VHA leadership to provide rapid support to assess EHR post-implementation system performance to discover if there are barriers or shortcomings. The team utilized contextual inquiry methods and principles of discount usability to assess system usability and effectiveness in meeting end-user needs. OHI and the Electronic Health Record Modernization Integration Office (OEHRM IO) formed a team to conduct semi-structured interviews and observations with health care providers at a VHA facility to gather qualitative data showcasing representative users’ experiences with the EHR. The team analyzed the data collected to identify themes and created an affinity map and two service blueprints. It then used this information to produce a report of findings and recommendations. The study identified areas that required remediation, actions that would facilitate success, and opportunities for improvement. Key contributors to the success of this rapid and important effort included the team’s ability to accommodate a compressed schedule by carefully targeting scope; focusing on a smaller number of participants than originally planned; asking direct, targeted questions developed in advance; and capturing data during short interview and observation windows. The data collected also highlights opportunities to continue the use of discount usability methods, when necessary, to continuously improve OHI HFE data collection and achieve targeted quality improvement in a condensed timeframe.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"174 - 178"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43087185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121020
Yuhao Chen, Shihui Ruan, K. Plant, Shimeng Du
As Artificial Intelligence (AI) advances, it is included into more and more medical device systems to carry out these systems’ intended functions. Given AI’s ability to learn from real-world use and its capability to continuously improve performance, manufacturers of medical devices are utilizing AI to innovate their products to better assist health care providers. However, like application of other types of medical devices, the application of AI in medical care might pose different types of potential risks to the patients, the users themselves, and to the use environment. For manufactures to successfully ensure the safety of AI medical devices, it is crucial to identify known problems by investigating use-related, user interface, and user interaction in-cidents that have occurred in comparable medical devices. The objective of this study is to identify potential use-related problems of DeepView® Wound Imaging System that assesses the healing potential of thermal burn wounds by analyzing multispectral images with an ML algorithm. We use a variety of sources of information on reports and recalls of medical devices that are associated with deaths, serious injuries and mal-functions. After examining relevant reports and recalls, 19 use-related problems were identified. An in-depth analysis was then conducted, considering each identified use-related problem and determining how it relates to the specific features and functionality of DeepView® Wound Imaging System as well as identifying patterns and commonalities among them. The information gained from this analysis can be beneficial in enhancing the safety of AI medical devices by providing a deeper understanding of the reasons for failure, to avoid similar issues in the future, and ultimately to improve patient safety and public health.
{"title":"Identification of Known Use-Related Problems in Artificial Intelligence Medical Imaging Devices","authors":"Yuhao Chen, Shihui Ruan, K. Plant, Shimeng Du","doi":"10.1177/2327857923121020","DOIUrl":"https://doi.org/10.1177/2327857923121020","url":null,"abstract":"As Artificial Intelligence (AI) advances, it is included into more and more medical device systems to carry out these systems’ intended functions. Given AI’s ability to learn from real-world use and its capability to continuously improve performance, manufacturers of medical devices are utilizing AI to innovate their products to better assist health care providers. However, like application of other types of medical devices, the application of AI in medical care might pose different types of potential risks to the patients, the users themselves, and to the use environment. For manufactures to successfully ensure the safety of AI medical devices, it is crucial to identify known problems by investigating use-related, user interface, and user interaction in-cidents that have occurred in comparable medical devices. The objective of this study is to identify potential use-related problems of DeepView® Wound Imaging System that assesses the healing potential of thermal burn wounds by analyzing multispectral images with an ML algorithm. We use a variety of sources of information on reports and recalls of medical devices that are associated with deaths, serious injuries and mal-functions. After examining relevant reports and recalls, 19 use-related problems were identified. An in-depth analysis was then conducted, considering each identified use-related problem and determining how it relates to the specific features and functionality of DeepView® Wound Imaging System as well as identifying patterns and commonalities among them. The information gained from this analysis can be beneficial in enhancing the safety of AI medical devices by providing a deeper understanding of the reasons for failure, to avoid similar issues in the future, and ultimately to improve patient safety and public health.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"76 - 81"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42712324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121012
Ronald H. Stevens, Trysha Galloway
In this study we explored neurodynamic candidates for coordinated periods of wakeful rest across team members while they performed healthcare simulations. Wakeful rest occurs sporadically when a person pauses task-related behavior at goal areas or choice points and is thought to be associated with memory replay. Analysis of the second-by-second EEG-derived neurodynamics of Emergency Medical Flight dyads identified periods of inter-brain coordination that surrounded periods of individual team member uncertainty but were negatively correlated with them (r = -.3 to - .81). The brain region expression and inter-brain network connectivity of the shared information had properties consistent with the default mode network (DMN), an important effector of wakeful rest in animals and humans. This shared information was present in the 70-110 Hz electroencephalogram (EEG) spectrum which may represent bursts of memory replay. Going forward, our hypothesis is that these periods of wakeful rest (pauses) associated with increased inter-brain coordination may represent self-imposed or opportunistic ‘time-outs’ for team members to ‘gather their thoughts’ and mentally replay recent events before mentally projecting their plans forward.
{"title":"Let’s pause for a second: Neurodynamic evidence for rapid and coordinated team pauses during simulated patient encounters","authors":"Ronald H. Stevens, Trysha Galloway","doi":"10.1177/2327857923121012","DOIUrl":"https://doi.org/10.1177/2327857923121012","url":null,"abstract":"In this study we explored neurodynamic candidates for coordinated periods of wakeful rest across team members while they performed healthcare simulations. Wakeful rest occurs sporadically when a person pauses task-related behavior at goal areas or choice points and is thought to be associated with memory replay. Analysis of the second-by-second EEG-derived neurodynamics of Emergency Medical Flight dyads identified periods of inter-brain coordination that surrounded periods of individual team member uncertainty but were negatively correlated with them (r = -.3 to - .81). The brain region expression and inter-brain network connectivity of the shared information had properties consistent with the default mode network (DMN), an important effector of wakeful rest in animals and humans. This shared information was present in the 70-110 Hz electroencephalogram (EEG) spectrum which may represent bursts of memory replay. Going forward, our hypothesis is that these periods of wakeful rest (pauses) associated with increased inter-brain coordination may represent self-imposed or opportunistic ‘time-outs’ for team members to ‘gather their thoughts’ and mentally replay recent events before mentally projecting their plans forward.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"45 - 49"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42852414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121011
Michelle M. Y. Lai, Rob (Hongbo) Chen, Andrew Evanyshyn, Zeina Shaltout, Myrtede C. Alfred
Informed consent in healthcare requires patients to have a sufficient understanding of their upcoming procedure before deciding to proceed. Unfortunately, education prior to a surgical procedure is constrained by barriers including poor health literacy, language barriers, one-sided dialogue during consultations, anxiety, and knowledge retention. Extended reality (XR), which includes virtual reality (VR), augmented reality (AR), and mixed reality (MR) has the potential to improve informed consent processes by creating an immersive, interactive, and multimodal sensory experience that supports patient education. The purpose of the study was to review the extant literature on the effectiveness of XR technology in improving patient education, a vital component of informed consent. We screened fifty-two articles and ten relevant papers from PubMed, Scopus, and Compendex, which were included in the review based on our eligibility criteria. We found that VR and AR proved effective in enhancing patient education in eight studies, and thus improving informed consent processes. MR was not utilized in the studies reviewed. The studies were conducted in several countries and positives findings were reported from a broad range of clinical settings and procedures. Though further investigation is needed, this is a promising finding that may encourage health systems to implement similar interventions prior to procedures. The review also provided an overview of the existing XR technology utilized for patient education such as a downloadable mobile application with a virtual chatbot character, and an environment designed to simulate the MRI patient’s perspective. These applications provide immersive and interactive experiences when paired with a head mounted headset such as Google VR Cardboard. The findings also revealed that XR tools are customizable and can be tailored to specific surgical procedures, which makes the potential of implementation applicable to a broader range of settings.
{"title":"Applications of Extended Reality (XR) in obtaining informed consent: A narrative review","authors":"Michelle M. Y. Lai, Rob (Hongbo) Chen, Andrew Evanyshyn, Zeina Shaltout, Myrtede C. Alfred","doi":"10.1177/2327857923121011","DOIUrl":"https://doi.org/10.1177/2327857923121011","url":null,"abstract":"Informed consent in healthcare requires patients to have a sufficient understanding of their upcoming procedure before deciding to proceed. Unfortunately, education prior to a surgical procedure is constrained by barriers including poor health literacy, language barriers, one-sided dialogue during consultations, anxiety, and knowledge retention. Extended reality (XR), which includes virtual reality (VR), augmented reality (AR), and mixed reality (MR) has the potential to improve informed consent processes by creating an immersive, interactive, and multimodal sensory experience that supports patient education. The purpose of the study was to review the extant literature on the effectiveness of XR technology in improving patient education, a vital component of informed consent. We screened fifty-two articles and ten relevant papers from PubMed, Scopus, and Compendex, which were included in the review based on our eligibility criteria. We found that VR and AR proved effective in enhancing patient education in eight studies, and thus improving informed consent processes. MR was not utilized in the studies reviewed. The studies were conducted in several countries and positives findings were reported from a broad range of clinical settings and procedures. Though further investigation is needed, this is a promising finding that may encourage health systems to implement similar interventions prior to procedures. The review also provided an overview of the existing XR technology utilized for patient education such as a downloadable mobile application with a virtual chatbot character, and an environment designed to simulate the MRI patient’s perspective. These applications provide immersive and interactive experiences when paired with a head mounted headset such as Google VR Cardboard. The findings also revealed that XR tools are customizable and can be tailored to specific surgical procedures, which makes the potential of implementation applicable to a broader range of settings.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"43 - 44"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47790952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121044
H. M. Mehrzad, T. Stüdeli, Helene Quie
Integrating the human factors engineering (HFE) process, and its user-centered approach, into the medical device and combination Product and Development Process (PDP), has been an ongoing challenge for its respective industries and Human Factors (HF) practitioners within it for decades. Yet, despite continuous process adaptation and evolution of the HFE process, as well as the introduction of standards and health authority guidelines, the early integration of a risk-based and user-centered approach within the development and design process remains an ongoing practical challenge occupying the minds of most. With the introduction of the European MDR 2017/745 in 2017, an additional emphasis was put on the importance of use-related risk identification, assessment, and data based evaluation within the clinical evaluation process, and with such introduces clinical teams to (new) ‘use-related risk challenges’ as well. This paper provides a framework for early integration of an iterative use-related risk analysis approach, addressing common practical challenges, and providing best practices for such. Furthermore, it highlights how applying a collaborative approach between HF and clinical efforts would permit for collection of more robust use-related data sets, thus potentially optimizing use-related risk, residual risk, and risk-benefit analyses and their processes.
{"title":"Best Practices for Use-Related Risk Analysis Through Collaboration of Human Factors and Clinical","authors":"H. M. Mehrzad, T. Stüdeli, Helene Quie","doi":"10.1177/2327857923121044","DOIUrl":"https://doi.org/10.1177/2327857923121044","url":null,"abstract":"Integrating the human factors engineering (HFE) process, and its user-centered approach, into the medical device and combination Product and Development Process (PDP), has been an ongoing challenge for its respective industries and Human Factors (HF) practitioners within it for decades. Yet, despite continuous process adaptation and evolution of the HFE process, as well as the introduction of standards and health authority guidelines, the early integration of a risk-based and user-centered approach within the development and design process remains an ongoing practical challenge occupying the minds of most. With the introduction of the European MDR 2017/745 in 2017, an additional emphasis was put on the importance of use-related risk identification, assessment, and data based evaluation within the clinical evaluation process, and with such introduces clinical teams to (new) ‘use-related risk challenges’ as well. This paper provides a framework for early integration of an iterative use-related risk analysis approach, addressing common practical challenges, and providing best practices for such. Furthermore, it highlights how applying a collaborative approach between HF and clinical efforts would permit for collection of more robust use-related data sets, thus potentially optimizing use-related risk, residual risk, and risk-benefit analyses and their processes.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"12 1","pages":"194 - 199"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48062168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121016
Sony Mani, M. Jamil
Across various healthcare systems, serious patient safety issues occur where patients who express Do-Not-Resuscitate (DNR) wishes receive resuscitative measures in error. Our Patient Safety team conducted a common cause analysis and identified contributing factors to such errors, including the unclear display of patients’ code status in the electronic health record (EHR). Our team proposed updated wording for the code status in the EHR and evaluated the proposed design via remote usability testing. Eleven physician and nurse end users participated in 30-minute one-on-one sessions where they consulted EHR screens to respond to simulated patient emergency scenarios. All participants successfully interpreted the updated screens and responded positively to the changes. Following these results, a multidisciplinary team used a Failure Modes and Effects Analysis (FMEA) to guide the successful implementation of the updated design.
{"title":"Cracking The Code: Redesigning EHR Interfaces to Clarify Patients’ End of Life Wishes for Code Situations","authors":"Sony Mani, M. Jamil","doi":"10.1177/2327857923121016","DOIUrl":"https://doi.org/10.1177/2327857923121016","url":null,"abstract":"Across various healthcare systems, serious patient safety issues occur where patients who express Do-Not-Resuscitate (DNR) wishes receive resuscitative measures in error. Our Patient Safety team conducted a common cause analysis and identified contributing factors to such errors, including the unclear display of patients’ code status in the electronic health record (EHR). Our team proposed updated wording for the code status in the EHR and evaluated the proposed design via remote usability testing. Eleven physician and nurse end users participated in 30-minute one-on-one sessions where they consulted EHR screens to respond to simulated patient emergency scenarios. All participants successfully interpreted the updated screens and responded positively to the changes. Following these results, a multidisciplinary team used a Failure Modes and Effects Analysis (FMEA) to guide the successful implementation of the updated design.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"38 11","pages":"61 - 63"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41268378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1177/2327857923121036
Helen J. A. Fuller, Kyle D. Maddox, Kathleen Adams, Tim Arnold
A significant body of human factors (HF) work has focused on how people collaborate on teams in various operational settings such as aviation and nuclear power. Less work, however, has focused on the team dynamics of groups conducting HF studies. This paper describes a collaborative effort led by HF practitioners to understand and document user needs and challenges associated with the adoption of a new electronic health record (EHR) at a medical facility. By examining the challenges and opportunities presented by the interdisciplinary nature of the team, we can identify best practices for future study and change management efforts that may ultimately lead to greater organizational maturity and the development of better, safer systems.
{"title":"Considering Team Dynamics during Human Factors Work in Healthcare","authors":"Helen J. A. Fuller, Kyle D. Maddox, Kathleen Adams, Tim Arnold","doi":"10.1177/2327857923121036","DOIUrl":"https://doi.org/10.1177/2327857923121036","url":null,"abstract":"A significant body of human factors (HF) work has focused on how people collaborate on teams in various operational settings such as aviation and nuclear power. Less work, however, has focused on the team dynamics of groups conducting HF studies. This paper describes a collaborative effort led by HF practitioners to understand and document user needs and challenges associated with the adoption of a new electronic health record (EHR) at a medical facility. By examining the challenges and opportunities presented by the interdisciplinary nature of the team, we can identify best practices for future study and change management efforts that may ultimately lead to greater organizational maturity and the development of better, safer systems.","PeriodicalId":74550,"journal":{"name":"Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare","volume":"71 2","pages":"156 - 159"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41272880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：