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Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls

Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls

One model that has proven to be valuable across a variety of health care domains and in supporting the design of technologies—the Systems Engineering Initiative for Patient Safety (SEIPS) model—conceptualizes the work of clinicians as happening in a work system, which invariably influences care processes and outcomes [35-37].

Hanna J Barton, Apoorva Maru, Margaret A Leaf, Daniel J Hekman, Douglas A Wiegmann, Manish N Shah, Brian W Patterson

JMIR Hum Factors 2024;11:e52592

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

The Systems Engineering Initiative for Patient Safety (SEIPS) 3.0 and the Human-Machine Team (HMT) theoretical frameworks may guide researchers to design systems that integrate AI with human expertise. The SEIPS model, grounded in the principles of human-centered systems engineering, commonly known as human factors and ergonomics, paints a comprehensive picture of how work systems influence health-related outcomes.

Yifan Zheng, Brigid Rowell, Qiyuan Chen, Jin Yong Kim, Raed Al Kontar, X Jessie Yang, Corey A Lester

JMIR Form Res 2023;7:e51921

Identifying Barriers to and Opportunities for Telehealth Implementation Amidst the COVID-19 Pandemic by Using a Human Factors Approach: A Leap Into the Future of Health Care Delivery?

Identifying Barriers to and Opportunities for Telehealth Implementation Amidst the COVID-19 Pandemic by Using a Human Factors Approach: A Leap Into the Future of Health Care Delivery?

The Systems Engineering Initiative for Patient Safety (SEIPS) model [4,5] provides a useful framework for analyzing the widespread adoption of telehealth in response to the COVID-19 crisis. This model allows for a comprehensive and proactive assessment of telehealth implementation in the longer term, beyond the pandemic [6].

Tianyi Zhang, Jarrod Mosier, Vignesh Subbian

JMIR Hum Factors 2021;8(2):e24860