Sirvi Autor "Mirma, Rasmus" järgi

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Haiguste sageduste visualiseerimine OMOP CDM andmebaasi põhjal
(Tartu Ülikool, 2025) Mirma, Rasmus; Vilo, Jaak, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Processing health data paves the way to improve public health, the development of new treatment methods, and the planning of preventive and development activities. Existing solutions for visualizing health data focus on specific data types and do not provide harmonized visualization capabilities. Within the health-data domain, the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) is becoming an increasingly adopted data model, defining both the data-model format and standardized terminologies. The goal of this bachelor’s thesis was to create an interactive data dashboard that can be applied to any database in OMOP CDM form. The completed dashboard makes it possible to examine disease frequencies and their associated costs by diagnosis and demographic filters. In addition, the thesis describes a reusable data query that counts the number of unique patients and the total cost of healthcare services provided to them by calendar year, age, and gender group. For further development of the solution, the thesis presents unimplemented functionalities and improvement proposals.