Title

Using open health information exchange framework to develop Vietnam's national HIV case surveillance system architecture

Presenter

Hai Son Vo

Authors

H.S. Vo¹, H.D. Bui¹, D.M. Pham¹, C.Q. Nguyen², T.A. Nguyen², J.C. Teixeira³, L. Duncan³, T.D. Pham⁴, T.V. Nguyen⁴, T.T.H. Le⁴, K.D. Nguyen⁴, T.C. Nguyen⁴, Q.H. Ngo⁴, D. Rosen⁵

Institutions

¹Vietnam Administration of HIV/AIDS Control, Ha Noi, Vietnam, ²USCDC, Ha Noi, Vietnam, ³PATH, Seattle, United States, ⁴PATH, Ha Noi, Vietnam, ⁵USCDC, Atlanta, United States

BACKGROUND: One of the core technical measures of Vietnam’s National Strategy to End AIDS by 2030 is to develop a national HIV case surveillance (CS) system. The result of a landscape assessment on HIV health information systems in Vietnam showed that: 1) There were siloed multiple disparate systems; 2) No longitudinal patient records with limited patient data connection, leading to data duplication and inaccuracies; and 3) There was no centralized database to collate longitudinal clinical information of people living with HIV (PLHIV). This abstract describes how a system architecture was developed to enable the CS system to centrally collect HIV patient data from various sources, including testing, case reporting, and treatment data.
DESCRIPTION: The CS system architecture was developed based on OpenHIE and tailored to the Vietnamese context. Open-source frameworks and international standards, such as OpenHIM, HAPI Fast Healthcare Interoperability Resources (FHIR), and OpenSearch dashboards, were applied to create a centralized database and component layers for interoperability and data management. The Vietnam HIV case profile is designed as the data structure of the centralized database. Data quality was assured through using functions built to clean data, deduplicate data, and merge datasets.
LESSONS LEARNED: The component layers for interoperability were an effective solution for establishing a centralized database for PLHIV, introducing interoperability between discrete HIV data sources to establish full HIV case profiles, and improving the quality of data inputs into the system. Before storing centralized database, data quality is checked at each interoperability layer stage, and patient matching algorithms are used.
CONCLUSIONS: The development of an overall system architecture using OpenHIE may have solved problems related to data quality and achieved the de-duplication of CS data in Vietnam. This system architecture could be applied for other chronic or infectious disease surveillance systems.

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