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Interoperability Proving Ground (IPG) submissions within the ONC Tech Lab are submitted by healthcare, technology and development organizations that are invested in Health IT and Interoperability and want to share, learn and collaborate with similar stakeholders in the US, and around the world.

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Hospital and healthcare resource surge surveillance system

Description
Collective Medical, Juvare and PatientPing have developed a program to help federal and statewide agencies understand hospital bed availability and resource trends to more effectively provide and coordinate a response. This system can be used to support the management of the COVID-19 pandemic immediately, but has been designed to support responses to future pandemics and natural disasters. The system includes an interactive analytics dashboard using hospital-sourced quantitative and qualitative information coupled with real-time information from the majority (approximately >85% of acute care volume) of hospitals to provide aggregated views at the national, statewide, regional and individual facility level.  

Beginning with a baseline near real-time bed availability, we leverage this real-time encounter information to visually provide ongoing real-time insight into the following metrics: total number of available beds (by unit); hospital admissions; hospital discharges; average IP LOS; average ED LOS; hospitals on diversion; number of diagnoses of interest; staff/supply shortages. All metrics can be trended over time and can be displayed at the national, statewide, regional or individual facility level. 

Epidemiologic transmission models suggest that voluntary quarantine, social distancing, and closure of public services and many private businesses serve to flatten the infection curve. Front and center is concern for the overburdening of our finite healthcare resources if they are overwhelmed by a preponderance of simultaneously infected and acutely symptomatic patients. The nationwide hospital and healthcare resource surge surveillance system will permit adaptive interventions.

Expected outcomes include: Reduced mortality and morbidity rate for COVID-19 (and future pandemics) patients; reduced mortality rate for non-COVID-19 patients presenting to overwhelmed hospitals; reduced unnecessary economic burden; enhanced resource management; reduced provider strain. 
Start Date
03/23/2020
Projected End Date

    
Project Tags
  • ADT
  • Carequality
  • CDA
  • CommonWell
  • COVID-19
  • FHIR Messaging
  • HITRUST; DTSU
  • HL7 V2
  • ICD-10
  • LOINC
  • US Core Data for Interoperability
Project Results
None