Integration of a new Electronic Health Record Application to Manage the Complexities of Clinical Trials: An Industry and Academic Partnership with Lessons Learned

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Publicat a:IISE Annual Conference. Proceedings (2025), p. 1-7
Autor principal: McCrory, Bernadette, PhD, MPH, PE, CHFP
Altres autors: Ma, Jiahui, PhD, Riemann, Laurie A, BSN, RN, Mullowney, Yvonne, BS, Khan, Isbah, Beach, Taylor, Johnson, Elizabeth A, PhD, MS-CRM, RN
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Institute of Industrial and Systems Engineers (IISE)
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024 7 |a 10.21872/2025IISE_6562  |2 doi 
035 |a 3243713479 
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100 1 |a McCrory, Bernadette, PhD, MPH, PE, CHFP  |u Norm Asbjornson College of Engineering, Mechanical & Industrial Engineering, Montana State University, Bozeman MT, USA 
245 1 |a Integration of a new Electronic Health Record Application to Manage the Complexities of Clinical Trials: An Industry and Academic Partnership with Lessons Learned 
260 |b Institute of Industrial and Systems Engineers (IISE)  |c 2025 
513 |a Conference Proceedings 
520 3 |a Healthcare organizations must evolve and adopt current evidence-based practices while maintaining care quality and operational effectiveness. Human-computer interaction is essential to enhancing clinical trial management processes and ensuring patient safety by optimizing how healthcare providers engage with critical information systems. However, technology transitions present challenges that require effective training and evaluation to ensure smooth adoption and usability. To strengthen clinical research capabilities, a comprehensive workflow and process mapping strategies was implemented to develop a novel custom-built electronic medical record application, PowerTrials. Understanding how healthcare team members interact with the PowerTrials interface during training is crucial for identifying potential shortcomings and optimizing future training designs. This study aimed to improve PowerTrials training by analyzing staff perceptions, performance, and user experience through biometric data. Two pre-recorded videos on clinical trial information and PowerTrials interface navigation were presented to 17 and 27 clinical participants, respectively, from a rural hospital in the western United States. Eye-tracking and facial expressions, along with quiz scores were collected to evaluate the PowerTrials training sessions. On average, participants directed more visual attention to key text (2,707 fixations) compared to random images (390 fixations) and focused more on central screen content (1,995 fixations) than on side content (512 fixations). Negative emotions were noted more frequently (38.6%) than positive ones (0.4%) based on emotional intensity. Pop-up windows and audible explanations effectively captured participant attention. Quiz results showed higher scores for the PowerTrials interface training (91.3/100) than for the clinical trial information training (85/100). Future research will evaluate user interaction with PowerTrials following training to further refine the interface. 
653 |a Enrollments 
653 |a Emergency medical care 
653 |a Medical records 
653 |a Software 
653 |a Medical research 
653 |a User experience 
653 |a Information systems 
653 |a Health care policy 
653 |a Research & development expenditures 
653 |a Review boards 
653 |a Evidence-based practice 
653 |a Eye movements 
653 |a Electronic health records 
653 |a Training 
653 |a Patient safety 
653 |a Human-computer interface 
653 |a Health care 
653 |a Effectiveness 
653 |a Organizational change 
653 |a Clinical trials 
653 |a Hospitals 
653 |a Data collection 
653 |a Process mapping 
653 |a Health care industry 
700 1 |a Ma, Jiahui, PhD  |u Norm Asbjornson College of Engineering, Mechanical & Industrial Engineering, Montana State University, Bozeman MT, USA 
700 1 |a Riemann, Laurie A, BSN, RN  |u Collaborative Science & Innovation, Billings Clinic, Billings, MT, USA 
700 1 |a Mullowney, Yvonne, BS  |u Collaborative Science & Innovation, Billings Clinic, Billings, MT, USA 
700 1 |a Khan, Isbah  |u School of Medicine, University of Washington, Seattle, WA, USA 
700 1 |a Beach, Taylor 
700 1 |a Johnson, Elizabeth A, PhD, MS-CRM, RN 
773 0 |t IISE Annual Conference. Proceedings  |g (2025), p. 1-7 
786 0 |d ProQuest  |t Science Database 
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