Learning health systems · 2026
A Standards-Based, Cloud-Hosted CDS System for Gonorrhea Treatment and HIV Screening.
СтатьяНазвание и аннотация: Перевод в очереди
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Shenvi Edna, Boxwala Aziz, Shaw Sarah, Berro Andre, Karki Saugat, Pooser Matthew, Yang Jane E, Dumitru Gema, Ocampo Jeanne, Tailor Amrita, Kanjilal Sanjat, Paredes Carlos, Hao Ritche, Kashyap Nitu, Liebovitz David, Pérez Alejandro
Аннотация
OBJECTIVE: Neisseria gonorrhoeae (or gonococcus, GC) infections have increased in incidence and antibiotic resistance, prompting updates to management guidelines. Additionally, patients with recent GC infections have been identified as a target population for human immunodeficiency virus (HIV) screening and prevention. With the rapidly changing nature of such biomedical knowledge, there is an imperative to adopt public health guidelines speedily to deliver knowledge to clinicians at the point of care. Therefore, the Public Health Informatics Institute and the United States Centers for Disease Control and Prevention sought to create a scalable clinical decision support (CDS) solution that could be easily integrated using interoperability standards with widely used electronic health record (EHR) systems in the United States.
METHODS: A project team including informaticians and clinical partners developed a cloud-hosted CDS system, with rule logic written in the Health Level Seven (HL7) Clinical Quality Language and using the HL7 CDS Hooks protocol. The system was designed to present alerts to clinicians who, based on available data, appeared to be treating uncomplicated GC with doses or agents that were not recommended based on the patient's weight, allergies, and other characteristics. Actionable suggestions were offered for the correct regimen, and HIV testing, if applicable.
RESULTS: After extensive testing, the system was successfully integrated with the EHR system at two academic medical institutions. Subsequently, a three-month pilot was conducted in emergency and urgent care settings.
CONCLUSIONS: There were limitations related to functionality, workflow issues, and data quality. This successful implementation, however, demonstrates the feasibility of this approach for select use cases of CDS, and yields further understanding of the requirements for developing scalable solutions for disseminating public health guidance.
METHODS: A project team including informaticians and clinical partners developed a cloud-hosted CDS system, with rule logic written in the Health Level Seven (HL7) Clinical Quality Language and using the HL7 CDS Hooks protocol. The system was designed to present alerts to clinicians who, based on available data, appeared to be treating uncomplicated GC with doses or agents that were not recommended based on the patient's weight, allergies, and other characteristics. Actionable suggestions were offered for the correct regimen, and HIV testing, if applicable.
RESULTS: After extensive testing, the system was successfully integrated with the EHR system at two academic medical institutions. Subsequently, a three-month pilot was conducted in emergency and urgent care settings.
CONCLUSIONS: There were limitations related to functionality, workflow issues, and data quality. This successful implementation, however, demonstrates the feasibility of this approach for select use cases of CDS, and yields further understanding of the requirements for developing scalable solutions for disseminating public health guidance.