e.g. mhealth
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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].
JMIR Hum Factors 2024;11:e52592
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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.
JMIR Form Res 2023;7:e51921
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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].
JMIR Hum Factors 2021;8(2):e24860
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