Taylan Topcu is leading a team of Virginia Tech researchers using digital twins to help take better care of health care providers.
The team's research builds on work that resulted in two previous papers published in the IEEE Access journal. One paper, a systematic literature review, dives deeper into digital twin systems and the other highlights the team's conceptual idea to implement the technology in the health care system.
Through their initial analysis of a small number of electronic health care records, Topcu and his team realized that the records do not capture key factors like physician fatigue and task satisfaction.
To address this gap, the researchers will conduct surveys and interviews with health care professionals to build a more accurate digital twin system.
The next stage of this project will involve building a burnout prediction model prototype and also allow the team to implement the prototype into a real health care system, where they can then modify the digital twin to be both effective and sustainable.
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