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Response to the Invitation for Public Comment: Consultation Paper on Unified Health Interface (UHI)

Abijeet V Waghmare; Akhil Malhotra; Angshuman Sarkar; Gurpreet Luthra; Sehj Kashyap; Subhashini Rajamani; Umesh Mohanty; Tony Raj


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  <identifier identifierType="DOI">10.5281/zenodo.5491251</identifier>
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    <creator>
      <creatorName>Abijeet V Waghmare</creatorName>
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      <affiliation>St. John's Research Institute</affiliation>
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    <creator>
      <creatorName>Akhil Malhotra</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0154-1303</nameIdentifier>
      <affiliation>ThoughtWorks India</affiliation>
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    <creator>
      <creatorName>Angshuman Sarkar</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3145-6054</nameIdentifier>
      <affiliation>ThoughtWorks India</affiliation>
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    <creator>
      <creatorName>Gurpreet Luthra</creatorName>
      <affiliation>ThoughtWorks India</affiliation>
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    <creator>
      <creatorName>Sehj Kashyap</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0276-2183</nameIdentifier>
      <affiliation>India Digital Health Network (IDHN) Lakshmi Mittal and Family South Asia Institute at Harvard</affiliation>
    </creator>
    <creator>
      <creatorName>Subhashini Rajamani</creatorName>
      <affiliation>ThoughtWorks India</affiliation>
    </creator>
    <creator>
      <creatorName>Umesh Mohanty</creatorName>
      <affiliation>ThoughtWorks India</affiliation>
    </creator>
    <creator>
      <creatorName>Tony Raj</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3959-4718</nameIdentifier>
      <affiliation>St. John's Research Institute</affiliation>
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  <titles>
    <title>Response to the Invitation for Public Comment: Consultation Paper on Unified Health Interface (UHI)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>national health stack</subject>
    <subject>unified health interface</subject>
    <subject>digital health</subject>
    <subject>NDHM</subject>
    <subject subjectScheme="url">https://www.ncbi.nlm.nih.gov/mesh/68066275</subject>
    <subject subjectScheme="url">https://www.ncbi.nlm.nih.gov/mesh/68008490</subject>
    <subject subjectScheme="url">https://www.ncbi.nlm.nih.gov/mesh/68055991</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-09-02</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Technical note</resourceType>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5491250</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;On June 22, 2021, the National Digital Health Mission (NDHM) and National Health Authority (NHA) of India released a consultation paper on its proposed&amp;nbsp;Unified Health Interface (UHI), a critical building block of the national digital health ecosystem under development.&amp;nbsp;In response to this request for public comments, domain experts from St. John&amp;#39;s Research Institute, ThoughtWorks India, and the India Digital Health Network (IDHN) at Harvard&amp;#39;s Lakshmi Mittal South Asia Institute submitted a response.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["WAG. (n.d.). Mobile accessibility: HOW WCAG 2.0 and Other W3C/WAI guidelines apply to mobile. https://www.w3.org/TR/mobile-accessibility-mapping/.", "Carpenter, B. E. (Ed.). (n.d.). RFC 1958 - architectural principles of the internet. https://datatracker.ietf.org/doc/rfc1958/.", "Rahman, Tawsifur &amp; Khandakar, Amith &amp; Kadir, Muhammad &amp; Islam, Khandaker &amp; Islam, Khandakar &amp; Mazhar, Rashid &amp; Hamid, Tahir &amp; Islam, Mohammad &amp; Kashem, Saad &amp; Ayari, Mohamed &amp; Chowdhury, Muhammad. (2020). Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. IEEE Access. 8. 191586-191601. 10.1109/ACCESS.2020.3031384.", "Cardiology, A. C. of. (n.d.). ASCVD Risk Estimator. ASCVD Risk Estimator +. https://tools.acc.org/ascvd-risk-estimator-plus/."]}</description>
  </descriptions>
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