Browsing by Author "Miller, Kristiina"

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Sotsiaalse kapitali roll korruptsiooni vähendamisel
(Tartu Ülikool, 2016) Miller, Kristiina; Volberg, Mats, juhendaja; Tartu Ülikool. Filosoofiateaduskond; Tartu Ülikool. Filosoofia osakond
Bakalaureuse töö eesmärk oli anda korruptsioonist ülevaade ja näidata sotsiaalse kapitali rolli korruptsiooni vähendamisel. Korruptsioon tähendas siin töös „halba sotsiaalset kapitali“. Korruptsiooni lahendusi saab leida korruptsiooni põhjustest ja tagajärgedest. Usaldus (tähendab siin laiendatud usaldust) on korruptsiooni poolt enim mõjutatud ja see on samuti ka sotsiaalse kapitali aluseks. Lisaks, sotsiaalne kapital on kodanikuühiskonna enda aluseks. Et korruptsiooni vähendada, ühiskond või kogukond vajab kodanikke, kellel oleks autonoomsus ja kodanikumoraal, kus usaldus mängib tähtsat rolli. Neid omadusi saab omandada läbi kodanikuhariduse. Seega on oluline luua usaldusväärseid kodanikke ja ühiskonda läbi kodanikuhariduse. Kodanikuharidus ei tähenda aga ainult tavalist haridust. Kodanikud peavad praktiseerima oma karakteri omadusi läbi koostöö, vabatahtlike tegevuste ja osalemisega poliitikas. Nii kaua kui on sotsiaalset kapitali ühiskonnas, siis on ka võimalus korruptsiooni vähendada.
Tervise infosüsteemi ja Tervisekassa andmete võrdlus perioodil 2012–2019 patsientide, diagnooside, ravitüübi ja teenuseosutajate lõikes
(Tartu Ülikool, 2024) Miller, Kristiina; Oja, Marek, juhendaja; Tamm, Sirli, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Examining insurance claims and electronic health records is critical to improving the efficiency, quality, and effectiveness of health care delivery, while helping audits to simplify the work of health care professionals and prevent fraud. It is known that health care providers send fewer electronic health records to the Health Information System than they send insurance claims to the Health Insurance Fund, but the current researchers have looked into this issue so far based on aggregated health data. In this work, health data between 2012-2019 from the Health Insurance Fund's insurance claims and electronic health records from Health Information System are used to compare two data sources by patients, by diagnoses, types of treatment and service providers. Since those are two separate data sets, personalized pseudonymized data were used and transferred to the OMOP CDM data model. The purpose of the work, apart from comparing the data, is to find how much of the data overlaps between two data sources, whether the goal of one-time data entry and reuse is fulfilled, how big is the problem of data continuity in Estonian health data and how much has the obligation of health care providers to send data in the health information system improved. As a result of the work, it was found that even if the healthcare service provider has an obligation to send health documents to the Health Information System, this obligation was not fully fulfilled by the end of 2019. A large part of the data was available in the data of the Health Insurance Fund, but not in the Health Information System. In addition, it was found that for inpatient health records, the amount of health data is almost the same between the two data sources, and the difference comes in with outpatient health records. It was also found that most of the data related to diagnoses is duplicated between two data sources, which does not meet the goal of single data entry.