Modernizing National Hospital Bed Capacity Reporting
The rapid spread of COVID-19 exposed critical gaps in local, state, and federal situational awareness systems. Today, most hospitals and public health authorities have limited visibility on health care capacity, supply, and staffing outside their own facility, system, or jurisdiction. This lack of a common operating picture results in inefficiency, inequity, and immense strain on the health care system and its patients during significant surge events.
To enable more timely and accurate hospital reporting, Audacious Inquiry began The SANER Project, a collaborative effort across public and private sector partners with the goal of automating hospital capacity reporting to allow for near real-time situational awareness while significantly reducing reporting burden on the healthcare providers at the frontlines of response.
A Scalable Solution for Health Care and Public Health Authorities
The SANER Project leverages a standards-based approach to ensure apples-to-apples exchange of health care situational awareness data during disasters and public health emergencies. Through application programming interfaces (APIs) using HL7® Fast Healthcare Interoperability Resources (FHIR®), an international data sharing standard, essential elements of information can be automatically extracted from several data sources within a hospital. Data sources may include the electronic health record (EHR), bed management system, asset management system, and inventory control. Data elements include number and status of specific hospital bed types, availability of staffing, and the number of ventilators and other critical supplies. These data may be shared with other hospitals, local, state, and federal public health authorities, and relevant response organizations.
- A unified, standardized approach – no more one-off solutions.
- Automated reporting – more timely, accurate results.
- Reduced provider burden – frees staff to focus on clinical care.
- Reporting requirement flexibility – adapts to change.
- Ability to aggregate or disaggregate data – protect patient privacy.
- Defined data elements – reliable and precise measurements.
SANER Project Features
Reduce Reporting Burden
Reduce manual reporting burden on health care facilities, and public health authorities, and reduces error.
Using a standard specification allows a uniform comparison across facilities, states, and regions.
Provide Real-time Data
Automatic extraction allows for real-time information regarding facility capacity that can inform operational decisions.
• March 2021: IHE International Connectathon for further review
• April 2021: Ai presents to HITAC ISPTF.
• May 2021: HL7 FHIR Connectathon to test scaling of thousands of records comprising millions of resources.
• April 2020: HL7 and Ai announce collaborative effort to develop SANER IG and open source solutionssolutions.
• May 2020: HL7 FHIR Connectathon to initial test concepts and design and to identify gaps in the IG
• September 2020: HL7 FHIR Connectathon to test implementations by EPIC, Cerner, Netcare and others and test mapping and graphic interfaces.
• September 2020: THSA, HASA, Ai awarded STAR HIE cooperative agreement to pilot .
The SANER Project FAQs
Use the accordions to learn about frequently asked questions about the SANER Project. These questions cover a wide range of topics. If your question can not be answer please contact our team with form on the bottom of this page.