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    <title>data integration on Arun Mitra</title>
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      <title>Mapping Maternal &amp; Child Health Data Sources for Local Decision-Making in Tribal PHCs</title>
      <link>https://arunmitra.com/research/mch-data-ecosystem/</link>
      <pubDate>Mon, 30 Mar 2026 00:00:00 +0000</pubDate>
      
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      <description>Background     Despite heavy investment in digital health information systems, frontline facilities in resource-constrained settings remain paradoxically data-rich yet information-poor. Health information systems built with an upward gaze for accountability reporting often fail to support the decisions that medical officers, data entry operators, and ANMs need to make locally. This work, part of Arun Mitra&amp;rsquo;s PhD thesis on participatory data science in ITDA-Rampachodavaram, Andhra Pradesh, asks how the maternal and child health (MCH) data ecosystem at primary health centre (PHC) level is actually structured, used, and constrained.</description>
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      <title>Harnessing Data Science for Local Action: An Action-Research Framework to Improve Reproductive and Child Health (RCH) Service Delivery in Tribal Communities of Andhra Pradesh</title>
      <link>https://arunmitra.com/research/icmr-rch-tribal-ap/</link>
      <pubDate>Wed, 12 Feb 2025 00:00:00 +0000</pubDate>
      
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      <description>Background     Reproductive and child health (RCH) services in tribal India generate substantial routine data, but the sources are fragmented across systems and stakeholders, and the resulting information is under-used for service delivery and review. This proposal, prepared for the ICMR investigator-initiated (Intermediate) extramural grant call and sited in ITDA-Rampachodavaram, addresses that gap by treating data integration and use as a participatory, system-level problem rather than a purely technical one.</description>
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