Preserving privacy of health data residing in HL7 FHIR repositories through de-identification

Şimşek Yılgın, Ezelsu
Collaboration and data sharing are essential aspects of health research. Nevertheless, the number of sensitive health data breaches is increasing and there is a significant need to ensure that the privacy of patients is preserved. Health data accumulated in different repositories can be useful for statistical analysis, data mining and machine learning tasks; which results in long-term value for both healthcare professionals and patients. Preserving the privacy and ensuring the security is essential while coping with the distributed nature of health data during clinical research. Data de-identification and anonymization techniques are highly beneficial for protecting patients data against privacy risks. In this thesis, de-identification and anonymization of health data existing in HL7 FHIR repositories has been studied to ensure the privacy protection. This work presents the development of Data Privacy Tool, which includes a novel technique for de-identification of HL7 FHIR data, as well as provides a graphical user interface. The study also includes assessment of the outcomes from a privacy point of view comparing various de-identification techniques. This study has examined the existing algorithms for de-identification of health data and proposed an efficient methodology to develop the privacy preservation layer. The results of this study are analyzed through several experiments. This study aims to contribute to a research project called FAIR4Health under the scope of the Horizon 2020 Research and Innovation Programme.


Understanding the perception towards using mHealth applications in practice: Physicians' perspective
Sezgin, Emre; Özkan Yıldırım, Sevgi; Yıldırım, İbrahim Soner (2018-03-01)
The objective of this study was to investigate physicians' perceptions to use mobile health applications in practice, and to identify influencing factors to use the technology. An mHealth technology acceptance model was proposed (M-TAM), and a cross-sectional survey was implemented using structured questionnaire to collect data. Online tools were used for inviting participants (physicians) and data collection from Turkey. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation...
ORganizational adoption of mobile communication technologies
Arpaci, Ibrahim; Yardimci, Yasemin; Özkan Yıldırım, Sevgi; Türetken, Özgür (null; 2012-01-01)
This study aims to identify important adoption factors for mobile communication technologies in private sector organizations. Grounded in the Diffusion of Innovation Theory, Porter's Competitive Forces Model and the Technology-Organization-Environment Framework, we develop an integrated model to study the determinants of organizational adoption of mobile communication technologies. Data will be collected from middle and senior managers using a mixed-method approach. Identification of the organizational adop...
An integrated approach to breast diseases and breast cancer registry and research: BDRS as a web-based multi-institutional model
Kocgil, Oya Deniz; Baykal, Nazife (2007-10-01)
Accurate, complete, and timely health data sources are essential for progress in health care. Registry and research systems are foundations for conducting clinical and epidemiological research. Developing countries lack these systems due to the scarcity of the resources allocated for health information systems. In this study, we provide an integrated model for Turkey in order to optimize the utilization of resources. The Breast Diseases Registry system (BDRS) is implemented as an integrated disease-specific...
Policymaking to preserve privacy in disclosure of public health data: a suggested framework
Mizani, Mehrdad A.; Baykal, Nazife (2015-03-01)
Health organisations in Turkey gather a vast amount of valuable individual data that can be used for public health purposes. The organisations use rigid methods to remove some useful details from the data while publishing the rest of the data in a highly aggregated form, mostly because of privacy concerns and lack of standardised policies. This action leads to information loss and bias affecting public health research. Hence, organisations need dynamic policies and well-defined procedures rather than a spec...
Security and Privacy Concerns Regarding Genetic Data in Mobile Health Record Systems: An Empirical Study from Turkey
Özkan, Özlem; Aydın Son, Yeşim; Aydınoğlu, Arsev Umur (2019-06-01)
With the increasing use of genetic testing and applications of bioinformatics in healthcare, genetic and genomic data needs to be integrated into electronic health systems. We administered a descriptive survey to 174 participants to elicit their views on the privacy and security of mobile health record systems and inclusion of their genetic data in these systems. A survey was implemented online and on site in two genetic diagnostic centres. Nearly half of the participants or their close family...
Citation Formats
E. Şimşek Yılgın, “Preserving privacy of health data residing in HL7 FHIR repositories through de-identification,” M.S. - Master of Science, Middle East Technical University, 2022.