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. 2023 Feb 2;10:e25361. doi: 10.2196/25361

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©Neha Verma, Harold Lehmann, Amal Afroz Alam, Youseph Yazdi, Soumyadipta Acharya. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 02.02.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.

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Framework for prioritizing what signs and symptoms are included in the task-shifting digital assistant with examples. We selected clinical information that is of high value and low effort to train a frontline health worker (FHW), with high patient and FHW acceptability as suitable targets for task shifting. Both the trainability and the clinical value are dependent on the baseline skill level of the FHW (nurse vs midwife vs community health worker) and the socioeconomic context of the clinic, such as its distance from the nearest diagnostic center. BP: blood pressure.