A Solicitation of the National Institutes of Health (NIH) and The Centers for Disease Control and Prevention (CDC) for Small Business Innovation Research (SBIR) Contract Proposals

Active
No
Status
Closed
Release Date
August 25th, 2023
Open Date
August 25th, 2023
Due Date(s)
November 14th, 2023
Close Date
November 14th, 2023
Topic No.
CDC/NCHHSTP 056

Topic

EHR Algorithm to Identify Persons with HIV Not in Care

Agency

Department of Health and Human ServicesNational Institutes of Health

Program

Type: SBIRPhase: BOTHYear: 2023

Summary

The Department of Health and Human Services, specifically the National Institutes of Health (NIH) and the Centers for Disease Control and Prevention (CDC), are seeking proposals for a Small Business Innovation Research (SBIR) contract. The topic of the solicitation is an Electronic Health Record (EHR) Algorithm to Identify Persons with HIV Not in Care. The goal of this research is to develop a core algorithm that can be used in multiple healthcare systems to identify patients newly and previously diagnosed with HIV and categorize their linkage to care, antiretroviral prescriptions, retention in care, and viral suppression status. The project also aims to explore the interoperability of different EHR systems to improve functionality throughout the country. The potential impact of this technology is significant, as it can streamline preventive health programs and improve compliance with clinical guidelines. The algorithm could be displayed on an EHR dashboard accessible in any clinical setting, allowing healthcare providers to immediately identify patients not in care and initiate care coordination and re-engagement efforts. Phase I SBIR proposals will be accepted, with a budget of up to $243,500 for a duration of up to 6 months. Phase II funding of up to $1,972,828 and a duration of up to 2 years may be available for successful Phase I projects. It is important to note that proposals exceeding the budget or project duration may not be funded. For more information and to submit a proposal, interested parties can visit the SBIR topic link provided: SBIR Topic Link. The solicitation notice can be found on the agency's website: Solicitation Agency URL. The open date for proposals is August 25, 2023, and the close date is November 14, 2023.

Description

Phase I SBIR proposals will be accepted. Fast-track proposals will not be accepted. Phase I clinical trials will not be accepted. Number of anticipated awards: 1 Budget (total costs): Phase I up to $243,500 for up to 6 months; Phase II of up to $1,972,828 and a Phase II duration of up to 2 years PROPOSALS THAT EXCEED THE BUDGET OR PROJECT DURATION LISTED ABOVE MAY NOT BE FUNDED. Page 133 Background Electronic health record (EHR) technologies are increasingly promoted as innovative platforms to streamline preventive health programs and improve compliance with clinical guidelines. EHR alerts have been created to streamline hepatitis C virus (HCV) and HIV screening processes in primary care settings and to develop predictive models that identify patients at a high risk of HIV acquisition who may benefit from pre-exposure prophylaxis (PrEP). There is a lack of such functionality to identify patients with HIV not in care-to our knowledge; few medical centers have any “homegrown” electronic medical record algorithms in place to identify persons lost to HIV care. This SBIR project seeks to utilize EHR data that are typically available in EHR systems to develop a “core” algorithm that can be used in multiple healthcare systems to identify patients newly and previously diagnosed with HIV and categorize their linkage to care, antiretroviral (ART) prescriptions, retention in care, and viral suppression status. Interoperability of different EHR systems with regards to this functionality will also be explored to improve generalizability and functionality throughout the country. Persons living with HIV may not be engaged in HIV care but may continue to access the health care system in other settings such as other primary care or specialty clinics, emergency rooms, urgent care, and inpatient admissions. Such access can provide opportunities to reengage them to HIV care. The data derived from the algorithm could be displayed on an EHR dashboard which would be accessible in any clinical setting affiliated with a healthcare system. Healthcare providers could utilize the information displayed to immediately identify a patient as not-in-care, and initiate care coordination and re-engagement efforts. Alternatively, a health care system could query its EHR data at regular intervals to identify patients who may have fallen out of care.