Leading health-tech company MDPortals hires career technologist Brian Connelly
Online PR News – 04-November-2022 – New York, New York – MDPortals Inc., a leading health-tech company disrupting value-based care with an end-to-end risk-adjustment solution designed to capture the true clinical risk of members while significantly decreasing inefficiencies, administrative burden and provider abrasion, today announced that Brian Connelly has been named Chief Operating Officer of MDPortals.
"We are excited to welcome Brian to the MDPortals’ team,” said MDPortals Founder and CEO Omar Salah. “With his exceptional track record of building innovative interoperability software solutions to improve patient care, we are well positioned to further our mission of transforming how data is used to improve care and adjust for risk.”
Brian is a career technologist with a long history serving some of the most complex organizations in the world. Most recently he was the CTO and Chief Architect of Ascension Health where he architected their digital transformation while also sponsoring portions of their pandemic technology response. Prior to Ascension he held leadership roles at Express Scripts and IBM.
“MDPortals is removing friction from healthcare by creating a bidirectional conduit between payers and providers to share all possible sources of a patient's clinical data,” said Brian. “This data enrichment improves the longitudinal patient record at the point of care to fill in the whitespace between encounters by combining known diagnosis with community data to enable more comprehensive patient care.”
About MDPortals Inc.
MDPortals empowers payers and providers to thrive in the world of value-based care by providing a risk-adjusted, longitudinal health record for their patients. We retrieve data through existing connections to a vast majority of sources across the care continuum, capture diagnoses from the full scope of data and push validated suspect diagnoses directly into the patient chart for providers to confirm or deny with a few clicks within their own workflow.
Our proprietary knowledge platform collects patient data from multiple electronic health records (EHR), health information exchanges (HIE), diagnostic laboratories, and pharmacies. Once the data is retrieved, our machine learning algorithms aggregate, synthesize, and curate the data to provide deep insights into the patient’s health history. This actionable patient history allows providers to drill down to the source documents, which enables them to better address gaps in care and develop optimal risk-adjusted care plans for improved reimbursement for the documented care provided.
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