eMedLab

eMedLab grupi publikatsionid on esitatud peamiste uurimisteemade teemade kautpa.

Andmehalduse rubriiki  on koondatud erinevad publikatsioonid, mis seotud elektroonilise terviseloo andmete haldamise temaatikaga kas siis üksikisiku, tervishoiuasutuse või riiklike terviseinfosüsteemide tasandil.  Peeter Ros, Tanel Ross, Janek Metsallik, Madis Tiik ja Eduard Maron on antud teema vedajateks eMadLab grupis.

• Metsallik, J., Draheim, D., Sabic, Z., Novak, T., & Ross, P. (2024). Assessing Opportunities and Barriers to Improving the Secondary Use of Health Care Data at the National Level: Multicase Study in the Kingdom of Saudi Arabia and Estonia. Journal of Medical Internet Research, 26, e53369.
• Hägglund, Maria, Anna Kharko, Annika Bärkås, Charlotte Blease, Åsa Cajander, Catherine DesRoches, Asbjørn Johansen Fagerlund et al. "A nordic perspective on patient online record access and the european health data space." Journal of Medical Internet Research 26 (2024): e49084.
• Hägglund, Maria, Anna Kharko, Josefin Hagström, Annika Bärkås, Charlotte Blease, Åsa Cajander, Catherine DesRoches et al. "The NORDeHEALTH 2022 patient survey: cross-sectional study of national patient portal users in Norway, Sweden, Finland, and Estonia." Journal of Medical Internet Research 25 (2023): e47573.
• Essén, A., Scandurra, I., Gerrits, R., Humphrey, G., Johansen, M.A., Kierkegaard, P., Koskinen, J., Liaw, S.T., Odeh, S., Ross, P. and Ancker, J.S., 2018. Patient access to electronic health records: differences across ten countries. Health policy and technology, 7(1), pp.44-56.
• Metsallik, J., Ross, P., Draheim, D., & Piho, G. (2018, June). Ten years of the e-health system in Estonia. In CEUR Workshop Proceedings (Vol. 2336, pp. 6-15).
• Tiik, Madis, and Peeter Ross. "Patient opportunities in the Estonian electronic health record system." In Medical and Care Compunetics 6, pp. 171-177. IOS Press, 2010.
• Ross, P., Sepper, R., & Pohjonen, H. (2010). Cross-border teleradiology—experience from two international teleradiology projects. European journal of radiology, 73(1), 20-25.

Terminoloogia ja koostalitluse teemat veab grupis dr Igor Bossenko. Antud uurimisteem peamiseks väljundiks on  avatud lähtekoodiga terminoloogia arendamise, haldamise ja jagamise platvorm TermX.  Lisaks on teemaga seotud magistrandid Rainer Randma ja Hanna Kätlin Ardel ja üliõpilane Elis Saarelaid.

• Bossenko, I. (2025). A domain-specific framework for supporting semantic interoperability in primary and secondary use of health data on the example of the Estonian National Health Information System, TalTech Press. 
• Marquis, M., Bossenko, I., & Ross, P. (2024). Standardizing X-Ray and Angiography Procedure Coding in Estonia: Validating TermX Through the Implementation of SNOMED CT. In Digital Health and Informatics Innovations for Sustainable Health Care Systems (pp. 53-54). IOS Press.
• Ivanova, M., Bossenko, I., & Piho, G. (2024, February). TermX—Bridging the Gap: Implementing CTS2 and FHIR Compatible Terminology Server. In International congress on information and communication technology (pp. 277-287). Singapore: Springer Nature Singapore.
• Ivanova, Marina, et al. "Comparative Analysis of Clinical Terminology Servers: A Quest for an Improved Solution." International Conference on Digital Economy. Cham: Springer Nature Switzerland, 2024.
• Bossenko, I., Piho, G., & Ross, P. (2024, May). Modelling a Patient Identifier System in the Estonian National Health Information System. In International Conference on Digital Economy (pp. 132-145). Cham: Springer Nature Switzerland.
• Bossenko, I., Piho, G., Ivanova, M., & Ross, P. (2024). TermX: The semantic interoperability, knowledge management and sharing platform. SoftwareX, 27, 101839.
• Bossenko, I., Randmaa, R., Piho, G., & Ross, P. (2024). Interoperability of health data using FHIR Mapping Language: transforming HL7 CDA to FHIR with reusable visual components. Frontiers in Digital Health, 6, 1480600.
• Bossenko, I., Linna, K., Piho, G., & Ross, P. (2023, March). Migration from HL7 Clinical Document Architecture (CDA) to Fast Health Interoperability Resources (FHIR) in Infectious Disease Information System of Estonia. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (pp. 882-885).
• Bossenko, I., Piho, G., & Ross, P. (2024). Termx: a game changer in the healthcare interoperability. In Digital Health and Informatics Innovations for Sustainable Health Care Systems (pp. 88-89). IOS Press.
• Bossenko, I., Piho, G., & Ross, P. (2022). Forward and Backward Compatibility Design Techniques Applying the HL7 FHIR Standard. In HEDA@ Petri Nets.
• Bossenko, I., Linna, K., Piho, G., & Ross, P. (2022). Migration from HL7 CDA to FHIR in Infectious Disease System of Estonia. In pHealth 2022 (pp. 275-278). IOS Press.

Terviseandmete usaldusväärne kasutamine eeldab nende läbipaistvust ja terviklikkust nii esmase kui ka teisese kasutuse korral. Doktorant-nooremteadud Marten kask uurib meetodeid ja tööriistu, mis tagavad terviseandmete kvaliteedi ja usaldusväärsuse kogu kasutusprotsessi vältel. Eesmärk on kaardistada olemasolevad lahendused, arendada uusi ning hinnata nende sobivust teaduse, tarkvara töökindluse ja ka süsteemide koostalitlusvõime vaatenurgast.

• Kask, M., Piho, G., & Ross, P. (2024). Distributed Ledger-Based System to Support Health Data Integrity and Transparency. In Digital Health and Informatics Innovations for Sustainable Health Care Systems (pp. 1231-1232). IOS Press.
• Kask, M., Klementi, T., Piho, G., & Ross, P. (2023). Maintaining Data Integrity in Electronic Health Records with Hyperledger Fabric. In HEDA@ STAF.
• Kask, M., Klementi, T., Piho, G., & Ross, P. (2023). Preserving Decentralized EHR-s Integrity. In Telehealth Ecosystems in Practice (pp. 296-297). IOS Press.
• Kask, M., Piho, G., & Ross, P. (2021). Systematic literature review of methods for maintaining data integrity. In Advances in Model and Data Engineering in the Digitalization Era: MEDI 2021 International Workshops: DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21–23, 2021, Proceedings 10 (pp. 259-268). Springer International Publishing.

Terviseandmete turvaline teisene kasutamine ja suurandmete analüüs eeldab andmete usaldusväärset anonümiseerimist ja pseudonümiseerimist. Doktorant-nooremteadur Olga Vovk uurib meetodeid ja tööriistu, mis võimaldavad automatiseeritud ja reeglipõhist andmete anonümiseerimist ja pseudünümiseerimist, tagades samal ajal nende analüütilise väärtuse ning vastavuse andmekaitsenõuetele. Eesmärk on kaardistada olemasolevad lahendused, arendada uusi ning hinnata nende sobivust andmete teisesel kasutusel. 

• Vovk, O., Piho, G., & Ross, P. (2023). Methods and tools for healthcare data anonymization: a literature review. International Journal of General Systems, 52(3), 326-342.
• Bende, P., Vovk, O., Caraveo, D., Pechmann, L., & Leucker, M. (2023). A Case Study on Data Protection for a Cloud-and AI-Based Homecare Medical Device. In Transactions on Petri Nets and Other Models of Concurrency XVII (pp. 138-161). Berlin, Heidelberg: Springer Berlin Heidelberg.
• Bende, P., Vovk, O., Caraveo, D., Pechmann, L., & Leucker, M. (2022). A Case Study on Data Protection for a Cloud-and AI-based Homecare Medical Device. In HEDA@ Petri Nets.
• Vovk, O., Piho, G., & Ross, P. (2021, June). Anonymization methods of structured health care data: A literature review. In International Conference on Model and Data Engineering (pp. 175-189). Cham: Springer International Publishing.
• Vovk, O., Piho, G., & Ross, P. (2021). Evaluation of anonymization tools for health data. In Advances in Model and Data Engineering in the Digitalization Era: MEDI 2021 International Workshops: DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21–23, 2021, Proceedings 10 (pp. 302-313). Springer International Publishing.

Terviseandmete teisene kasutus ja suurandmete analüüs vajavad ühtset semantilist raamistikku. Doktorant-nooremteadur Kristian Kankainen uurib ühtse semantilise alusmudeli väljatöötamise võimalusi lähtudes olemasolevatest andmete ja koostalitluse standarditest. Teemaga on seotud ka magistrant Jane-Ly Buhvestova ning dr Gunnar Piho. 

• Kankainen, K. J. I., Listenmaa, I., Piho, G., & Ross, P. (2023). Digital Health Data Capture with a Controlled Natural Language. In Caring is Sharing–Exploiting the Value in Data for Health and Innovation (pp. 829-830). IOS Press.
• Sõerd, T., Kankainen, K., Piho, G., Klementi, T., & Ross, P. (2023). Towards Specification of Medical Processes According to International Standards and Semantic Interoperability Needs. In MODELSWARD (pp. 160-167).
• Kankainen, K., Klementi, T., Piho, G., & Ross, P. (2022). Using SNOMED CT as a Semantic Model for Controlled Natural Language Guided Capture of Clinical Data. In HEDA@ Petri Nets.
• Kankainen, K. (2021). Usages of the ContSys standard: A position paper. In Advances in Model and Data Engineering in the Digitalization Era: MEDI 2021 International Workshops: DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21–23, 2021, Proceedings 10 (pp. 314-324). Springer International Publishing.
• Tepandi, J., Grandry, E., Fieten, S., Rotuna, C., Sellitto, G. P., Zeginis, D., ... & Tarabanis, K. (2019). Towards a cross-border reference architecture for the once-only principle in Europe: an enterprise modelling approach. In The Practice of Enterprise Modeling: 12th IFIP Working Conference, PoEM 2019, Luxembourg, Luxembourg, November 27–29, 2019, Proceedings 12 (pp. 103-117). Springer International Publishing.
• Tepandi, J., Lauk, M., Linros, J., Raspel, P., Piho, G., Pappel, I., & Draheim, D. (2017). The data quality framework for the Estonian public sector and its evaluation: establishing a systematic process-oriented viewpoint on cross-organizational data quality. Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXV, 1-26.
• Piho, G., Tepandi, J., Thompson, D., Woerner, A., & Parman, M. (2015). Business archetypes and archetype patterns from the HL7 RIM and openEHR RM perspectives: towards interoperability and evolution of healthcare models and software systems. Procedia Computer Science, 63, 553-560.
• Piho, G., Tepandi, J., Thompson, D., Tammer, T., Parman, M., & Puusep, V. (2014). Archetypes based meta-modeling towards evolutionary, dependable and interoperable healthcare information systems. Procedia Computer Science, 37, 457-464.
• Piho, G., Tepandi, J., & Roost, M. (2010, June). Domain analysis with archetype patterns based Zachman Framework for enterprise architecture. In 2010 International Symposium on Information Technology (Vol. 3, pp. 1351-1356). IEEE.

Üheks terviseandmete teisese kasutuse valdkonnaks on andmete rakendamine otsustustoe süsteemides ning masinõppe ja tehisintellekti lahendustes. Uurimisfookuses on nii arstidele mõeldud otsustustoe süsteemid diagnoosimise ja ravi valdkonnas kui ka inimestele suunatud tervise järjepidevuse ja elustiili toetuslahendused. Lisaks uuritakse AI võimalusi loomuliku, struktureerimata keele töötlemiseks ja struktureerimiseks, et suurendada terviseandmete analüüsi täpsust ja kasutatavust. Terviseandmete usaldusväärne kasutamine tehisintellekti ja masinõppe kontekstis nõuab andmete kvaliteedi ja semantilise tõlgendatavuse tagamist, samuti läbipaistvate ja eetiliste algoritmide arendamist. Antud valdkonnaga tegelevad doktorid Ants Torim ja Ahti Lohk ning magistrandid Ken Kruuser ja Maarja Helena Elisabeth Hoop.

• Bertl, M., Ross, P., & Draheim, D. (2023). Systematic AI support for decision-making in the healthcare sector: Obstacles and success factors. Health Policy and Technology, 12(3), 100748.
• Bertl, M., Kankainen, K. J. I., Piho, G., Draheim, D., & Ross, P. (2023). Evaluation of Data Quality in the Estonian National Health Information System for Digital Decision Support. In HEDA@ STAF.
• Bertl, M., Klementi, T., Piho, G., Ross, P., & Draheim, D. (2023, November). How domain engineering can help to raise adoption rates of artificial intelligence in healthcare. In International Conference on Information Integration and Web Intelligence (pp. 3-12). Cham: Springer Nature Switzerland.
• Bertl, M., Metsallik, J., & Ross, P. (2022). A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder. Frontiers in Psychiatry, 13, 923613.

Üheks uurimisteemaks on võimalik tulevikustsenaarium, kus terviseandmed on täielikult inimese omandis ja tema suveräänse kontrolli all. Selleks katsetame terviseandmete detsentraliseeritud sisu-aadressitavates salvestusvõrkudes hoidmise tehnikaid, arhitektuure ja stsenaariume. Teemat veab doktorant-nooremteadur Toomas Klementi. Lisaks tegelevad sellega magistrant Lilia Tünts ning üliõpilased Olga Vald ja Maria Timofejeva.

• Klementi, T., Piho, G., & Ross, P. (2024). A reference architecture for personal health data spaces using decentralized content-addressable storage networks. Frontiers in Medicine, 11, 1411013.
• Klementi, T., Kankainen, K. J. I., Piho, G., & Ross, P. (2022). Prospective Research Topics towards Preserving Electronic Health Records in Decentralised Content-Addressable Storage Networks. In HEDA@ Petri Nets.