Audacious Inquiry (Ai), an industry leader in connected care, and The Sequoia Project, Inc a non-profit dedicated to solving health IT interoperability for the public good, announced a teaming agreement to support the PULSE initiative and to leverage their combined expertise in support of displaced populations needing medical treatment and ongoing care as part of disaster response efforts. Ai first developed the PULSE concept under contract with the Office of the National Coordinator for Health IT (ONC) in April 2014. In March 2016, the California Emergency Management Services Authority (CalEMSA) contracted with Ai to develop and operate PULSE. PULSE was subsequently activated for use during the California wildfires in October 2017, with the support of The Sequoia Project. The non-profit works to advance the breadth of PULSE by leveraging national networks and by convening a national advisory council of experts.
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Audacious Inquiry and The Sequoia Project Announce National Partnership to Support States in Disaster Response Through the Patient Unified Lookup System for Emergencies (PULSE)
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Metriport Launches First Open-Source API to Instantly Pull Patient Medical Records from Any Electronic Health Source
Metriport, the company on a mission to provide instant and efficient access to comprehensive patient medical data, is launching its Medical API - the world's only healthcare API platform built entirely on open-source code-to retrieve patient clinical histories from all major electronic health records (EHR) systems. With an innovative engineering approach, Metriport delivers a wealth of enterprise-grade patient information to organizations ranging from very large healthcare providers to the new, smaller telehealth clinics, and in the process, saves the companies sometimes millions of dollars over existing contracts. Gaining access to electronic health records can be so costly and cumbersome that digital providers often resort to faxes, phone, and lengthy patient surveys resulting in valuable information being missed, as well as greatly increasing the likelihood of incorrect medical data, both with potentially grave consequences.
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