Volume 101, Issue 4
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

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[open-access] This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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  1. Ansermino JM, Wiens MO, Kissoon 2019. Evidence and transparency are needed to develop a frontline health worker mHealth Assessment Platform. Am J Trop Med Hyg 101: 948.
    [Google Scholar]
  2. Finette B et al., 2019. Development and initial validation of a frontline health worker mHealth assessment platform (MEDSINC®) for children 2–60 months of age. Am J Trop Med Hyg 100: 15561565.
    [Google Scholar]
  3. FDA, 2017. Software as a Medical Device (SAMD): Clinical Evaluation–Guidance for Industry and Food and Drug Administration Staff. FDA Office for Digital Health Program. U.S. Department of Health and Human Services, Food and Drug Administration, Center for Devices and Radiological Health. pp. 1–30. Available at: https://www.fda.gov/media/100714/download.
    [Google Scholar]
  4. Digital Development Working Group, 2017. Principles of Digital Development. Community Forum. The Bill and Melinda Gates Foundation, the Swedish International Development Agency (SIDA), the UN’s Children’s Fund (UNICEF), UN Development Program (UNDP), the World Bank, and the U.S. Agency for International Development (USAID), and the World Health Organization (WHO). Available at: https://digitalprinciples.org/principles/. Accessed August 3, 2016.
    [Google Scholar]
  5. Vermont General Assembly. Title 11A: Vermont Business Corporations, chapter 21. Benefit Corporations. Available at: https://legislature.vermont.gov/statutes/fullchapter/11A/021. Accessed August 5, 2014.
    [Google Scholar]
  6. Department of Reproductive Health and Research, World Health Organization (WHO), 2018. Technical Working Group on Computable Guidelines and Machine Learning for Improving Population Service Delivery and Accountability for SRMNCAH. Geneva, Switzerland: Department of Reproductive Health and Research. World Health Organization.
    [Google Scholar]
  7. World Health Organization (WHO), Foundation for Innovative New Devices (FIND), 2018. Standardized Electronic Clinical Decision-Support Algorithms: Linking Diagnostics and Appropriate Treatment to Improve Patient Outcome in the Context of Universal Healthcare. Geneva, Switzerland: World Health Organization (WHO) and Foundation for Innovative New Devices (FIND).
    [Google Scholar]
  • Published online : 02 Oct 2019
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