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A Standards-Based, Cloud-Hosted CDS System for Gonorrhea Treatment and HIV Screening
Edna Shenvi1, Aziz Boxwala1, Sarah Shaw2
1Elimu Informatics El Cerrito California USA.
Learning Health Systems
|July 31, 2026
Summary
A new clinical decision support system aids clinicians in managing gonorrhea (GC) infections and HIV testing. This scalable solution integrates with electronic health records to improve adherence to public health guidelines.
Area of Science:
- Public Health Informatics
- Clinical Decision Support Systems
- Infectious Disease Management
Background:
- Rising incidence and antibiotic resistance of *Neisseria gonorrhoeae* (gonococcus, GC) necessitate updated clinical guidelines.
- Patients with recent GC infections are a key demographic for HIV screening and prevention initiatives.
- Rapid dissemination of evolving biomedical knowledge to clinicians at the point of care is crucial.
Purpose of the Study:
- To develop a scalable clinical decision support (CDS) solution for managing GC infections and guiding HIV screening.
- To integrate the CDS solution with widely used electronic health record (EHR) systems using interoperability standards.
- To provide clinicians with timely, evidence-based recommendations at the point of care.
Main Methods:
- Development of a cloud-hosted CDS system utilizing Health Level Seven (HL7) Clinical Quality Language and HL7 CDS Hooks protocol.
- System designed to alert clinicians on non-adherence to GC treatment guidelines based on patient-specific data (weight, allergies).
- Provided actionable suggestions for appropriate treatment regimens and indicated when HIV testing is applicable.
Main Results:
- Successful integration of the CDS system with EHRs at two academic medical institutions.
- A three-month pilot study was conducted in emergency and urgent care settings.
- Demonstrated feasibility of the CDS approach for disseminating public health guidance.
Conclusions:
- The implemented CDS system shows promise for improving management of GC infections and HIV screening.
- Identified limitations in functionality, workflow, and data quality require further attention.
- The project provides valuable insights into developing scalable CDS solutions for public health.
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