System model for integration of wearable smart device data into a central health information system : doctoral thesis / Ana Koren ; supervisor Marko Jurčević
By: Koren, Ana
.
Contributor(s): Jurčević, Marko [ths].
Material type: 
TextPublisher: Zagreb : A. Koren : Faculty of electrical engineering and comupting, 2023Description: 149 str. : graf. prikazi ; 31 cm.Subject(s): Internet of Medical Things | Electronic Health Records | senzorsSummary: The area of research is related to the issue of including personalized health data collected via the Internet of Medical Things (IoMT) devices, such as personal tracking devices, into the Electronic Health Record (EHR) that today constitutes part of the central health information systems of most European countries.
In order for the collected data to be used in EHR, it is necessary to guarantee its quality and inviolability. Therefore, data cleaning and processing is necessary. As part of the scientific work, a comparison of different models of health data cleaning has been performed. A method for optimizing selected models of data cleaning and data transformation with the aim of improving accuracy and precision has been proposed.
Furthermore, data compliance with existing standards and regulations must be ensured, which has been achieved by defining semantic constraints and validation processes via a schematron, a structural schema expressed in XML.
Finally, these components were integrated as modules into a central health system model that would allow the use of IoMT data in EHR.
Summary: Područje istraživanja povezano je s pitanjem uključivanja personaliziranih zdravstvenih podataka prikupljenih putem uređaja Internet of Medical Things (IoMT), poput osobnih uređaja za praćenje, u elektronički zdravstveni karton (EHR) koji danas čini dio središnjeg zdravstvenog informacijski sustavi većine europskih zemalja.
Kako bi se prikupljeni podaci mogli koristiti u EHR-u, potrebno je jamčiti njihovu kvalitetu i nepovredivost. Stoga je potrebno čišćenje i obrada podataka. U sklopu znanstvenog rada provedena je usporedba različitih modela čišćenja zdravstvenih podataka. Predložena je metoda optimizacije odabranih modela čišćenja i transformacije podataka s ciljem povećanja točnosti i preciznosti. Nadalje, mora se osigurati usklađenost podataka s postojećim standardima i propisima, što je postignuto definiranjem semantičkih ograničenja i procesa validacije putem shematrona, strukturne sheme izražene u XML-u.
Konačno, te su komponente integrirane kao moduli u model središnjeg zdravstvenog sustava koji bi omogućio korištenje IoMT podataka u EHR-u.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Doktorska disertacija
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Središnja knjižnica KF | KF-5366 | Korištenje u čitaonici | 0000001087147 | ||
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Doktorska disertacija
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Zavod za osnove elektrotehnike i električka mjerenja Spremište | 4116 | Available | 0000001088595 |
Bibliografija: str. 126 - 143.
The area of research is related to the issue of including personalized health data collected via the Internet of Medical Things (IoMT) devices, such as personal tracking devices, into the Electronic Health Record (EHR) that today constitutes part of the central health information systems of most European countries.
In order for the collected data to be used in EHR, it is necessary to guarantee its quality and inviolability. Therefore, data cleaning and processing is necessary. As part of the scientific work, a comparison of different models of health data cleaning has been performed. A method for optimizing selected models of data cleaning and data transformation with the aim of improving accuracy and precision has been proposed.
Furthermore, data compliance with existing standards and regulations must be ensured, which has been achieved by defining semantic constraints and validation processes via a schematron, a structural schema expressed in XML.
Finally, these components were integrated as modules into a central health system model that would allow the use of IoMT data in EHR.
Područje istraživanja povezano je s pitanjem uključivanja personaliziranih zdravstvenih podataka prikupljenih putem uređaja Internet of Medical Things (IoMT), poput osobnih uređaja za praćenje, u elektronički zdravstveni karton (EHR) koji danas čini dio središnjeg zdravstvenog informacijski sustavi većine europskih zemalja.
Kako bi se prikupljeni podaci mogli koristiti u EHR-u, potrebno je jamčiti njihovu kvalitetu i nepovredivost. Stoga je potrebno čišćenje i obrada podataka. U sklopu znanstvenog rada provedena je usporedba različitih modela čišćenja zdravstvenih podataka. Predložena je metoda optimizacije odabranih modela čišćenja i transformacije podataka s ciljem povećanja točnosti i preciznosti. Nadalje, mora se osigurati usklađenost podataka s postojećim standardima i propisima, što je postignuto definiranjem semantičkih ograničenja i procesa validacije putem shematrona, strukturne sheme izražene u XML-u.
Konačno, te su komponente integrirane kao moduli u model središnjeg zdravstvenog sustava koji bi omogućio korištenje IoMT podataka u EHR-u.
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