Maiko Minami
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Clinical Decision Support Strategies for Electronic Case Reporting and its Open Source Connection
A key element of public health surveillance is the reporting of infectious and certain non-infectious conditions to state, local, and tribal public health agencies (PHA) around the United States. Historically, there have been a number of key challenges with the process of case reporting that is pervasive in the United States today. To help overcome some of these barriers, an effort has been underway to move the process of case reporting to electronic. A key component of the emerging electronic care reporting (eCR) strategy is the use of clinical decision support (CDS) to help clinical care organizations determine if a reportable condition is present in a patient's record. Multiple approaches have been identified for this CDS service, including a centralized model being implemented today, and several distributed options which will likely become equally viable. Given the size, diversity, and decentralized nature of healthcare enterprises, it is likely that all three approaches for CDS discussed in this article will be deployed simultaneously.
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Electronic Case Reporting (eCR) Takes Front Stage at PHI2018 Conference
But the real buzz at the conference seemed to be about electronic case reporting (eCR). This refers to the national effort to replace the current paper and FAX process of submitting reportable conditions from clinical care sites to state and local public health agencies with a more automated electronic process fed from electronic health records (EHRs)...HLN demonstrated the workflow for eCR at the HIMSS18 Interoperability Showcase. However, we did not see a lot of interest on eCR at the HIMSS conference. At PHI2018 we had significant interest, both among public health officials who were anxious to see how they could initiate eCR in their jurisdictions, and other vendor and stakeholder groups who seemed to feel eCR was becoming viable and more “real.”
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Maiko Minami
Maiko Minami brings a diverse experience in public health and healthcare informatics to the HLN team. While currently a project manager, Maiko previously served as a senior business analyst at HLN with a concentration in standards and systems development for public health and health information systems. She has worked in the past to support a variety of national efforts, including facilitating the development of Syndromic Surveillance standards and recommendations for Meaningful Use, and the development of a national Newborn Dried Blood Screening (NDBS) HL7 Laboratory Orders and Results Implementation Guide.