Publications

Insights and Contributions: Highlighting our published work








2025

Pineda-Moncusí, M., Rekkas, A., Martínez Pérez, Á., Leis, A., Lopez Gomez, C., Fey, E., Bruninx, E., Maljković, F., Sánchez-Sáez, F., Rodeiro-Boliart, J., Zsuzsa Kiss, L., Franz, M., Mayer, M. A., Eleangovan, N., Pericàs Pulido, P., Natsiavas, P., Şen, S., Cooper, S., Reisberg, S., Manlik, K., Price, D. B., Moscetti, L., Merkelbach, M., Tadrous, M., Rappoport, N., Claire, R., Garcia-Torrens, S., Prieto-Alhambra, D., Rijnbeek, P. R., Burkard, T., & Drug Shortages EHDEN Study Group. (2025). Changes in use and utilisation patterns of drugs with reported shortages between 2010 and 2024 in Europe and North America: A network cohort study. The Lancet Public Health, 10(10), e835–e847. https://doi.org/10.1016/S2468-2667(25)00194-X

Chatzikonstantinou, T., Vasilopoulou, M., Kyrou, D., Karakatsoulis, G., Argyropaidas, P., Besikli-Dimou, S., Bonotis, P., Chatzimina, M., Didi, J., Dimosthenous, C., Garani-Papadatos, T., Hoffman, S., Kakalou, C., Kazantzaki, E., Kiefer, S., Koumakis, L., Ling, J., Maramis, C., Meyerheim, M., Payne, C., Papangelou, C., Payne, S., Pontikoglou, C., Reston, R., Ryblom, H., Sander, A., Schera, F., Smedby, K. E., Zacharioudakis, G., Chatzidimitriou, A., Doubek, M., Stavroyianni, N., Ghia, P., Papadaki, H. A., Rosenquist, R., Graf, N., Natsiavas, P., Stamatopoulos, K., Karamanidou, C., & Scarfò, L. (2025). Assessing an eHealth intervention on quality of life in patients with chronic lymphocytic leukemia and myelodysplastic syndromes: The MyPal randomized controlled trial. JCO Oncology Practice, OP2500087. Advance online publication. https://doi.org/10.1200/OP-25-00087


Chytas, A., Gavriilides, G., Kapetanakis, A., de Langlais, A., Jaulent, M. C., & Natsiavas, P. (2025). OpenPVSignal Knowledge Graph: Pharmacovigilance Signal Reports in a Computationally Exploitable FAIR Representation. Drug safety, 48(4), 425–436. https://doi.org/10.1007/s40264-024-01503-8

Bonotis, P., Angelidis, P., & Natsiavas, P. (2025). Usability and User Experience Testing of a Co-Designed Electronic Patient-Reported Outcomes App (“MyPal for Adults”) for Palliative Cancer Care: Mixed Methods Study. JMIR human factors, 12, e57342. https://doi.org/10.2196/57342

Timamopoulos, C., Chatzikonstantinou, T., Bonotis, P., Scarfo, L., Ghia, P., Stamatopoulos, K., Farmaki, A., Chytas, A., Rekkas, A., Kastampolidou, K., & Natsiavas, P. (2025). PEDRO: A Peer-to-Peer Support Platform for Adverse Drug Reaction Management in Patients with CLL. Studies in health technology and informatics, 328, 313–317. https://doi.org/10.3233/SHTI250726

Bonotis, P., Meyerheim, M., Kakalou, C., Scarfo, L., Natsiavas, P., & Karamanidou, C. (2025). Enhancing Healthcare Professionals’ Adherence to the MyPal Project Digital Health Intervention Protocol Through Quick Reference Guides. Studies in health technology and informatics, 327, 283–287. https://doi.org/10.3233/SHTI250329

Rekkas, A., Farmaki, A., Chytas, A., Lazaridis, A., Gkaliagkousi, E., & Natsiavas, P. (2025). Preliminary Results of an OMOP-CDM Based Characterization Study for Rhabdomyolysis in Greece. Studies in health technology and informatics, 327, 1250–1251. https://doi.org/10.3233/SHTI250596

Farmaki, A., Kyrou, D., Sountoulides, P., Spyrou, S., Bonotis, P., Plomariti, C., Leclercq, V., Schmitt, T., Karamanidou, C., & Natsiavas, P. (2025). Exploring Telemedicine Acceptance: Applying the COM-B Model to Understand Cancer Patients’ Perspectives. Studies in health technology and informatics, 327, 353–357. https://doi.org/10.3233/SHTI250343














2024

Payne, S., Begovic, D., Salifu, Y., Nelson, A., Payne, C., Downing, J., Natsiavas, P., & Ling, J. (2024). Applying Digital Health in Cancer and Palliative Care in Europe: Policy Recommendations from an International Expert Workshop (MyPal Project). Journal of palliative medicine, 27(2), 216–223. https://doi.org/10.1089/jpm.2023.0309

Natsiavas, P., Nikolaidis, G., Pliatsika, J., Chytas, A., Giannios, G., Karanikas, H., Grammatikopoulou, M., Zachariadou, M., Dimitriadis, V., Nikolopoulos, S., & Kompatsiaris, I. (2024). The PrescIT platform: An interoperable Clinical Decision Support System for ePrescription to Prevent Adverse Drug Reactions and Drug-Drug Interactions. Drug safety, 47(10), 1051–1059. https://doi.org/10.1007/s40264-024-01455-z


Dimitsaki, S., Natsiavas, P., & Jaulent, M. C. (2024). Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review. Journal of medical Internet research, 26, e57824. https://doi.org/10.2196/57824


Farmaki, A., Manolopoulos, E., & Natsiavas, P. (2024). Will Precision Medicine Meet Digital Health? A Systematic Review of Pharmacogenomics Clinical Decision Support Systems Used in Clinical Practice. Omics : a journal of integrative biology, 28(9), 442–460. https://doi.org/10.1089/omi.2024.0131


Grammatikopoulou, M., Lazarou, I., Giannios, G., Kakalou, C. A., Zachariadou, M., Zande, M., Karanikas, H., Thireos, E., Stavropoulos, T. G., Natsiavas, P., Nikolopoulos, S., & Kompatsiaris, I. (2024). Electronic prescription systems in Greece: a large-scale survey of healthcare professionals’ perceptions. Archives of public health = Archives belges de sante publique, 82(1), 68. https://doi.org/10.1186/s13690-024-01304-6


Grammatikopoulou, M., Zachariadou, M., Zande, M., Giannios, G., Chytas, A., Karanikas, H., Georgakopoulos, S., Karanikas, D., Nikolaidis, G., Natsiavas, P., Stavropoulos, T. G., Nikolopoulos, S., & Kompatsiaris, I. (2024). Evaluation of an electronic prescription platform: Clinicians’ feedback on three distinct services aiming to facilitate clinical decision and safer e-prescription. Research in social & administrative pharmacy : RSAP, 20(7), 640–647. https://doi.org/10.1016/j.sapharm.2024.04.004


Katehakis, D. G., Filippidis, D., Karamanis, K., Kouroubali, A., Farmaki, A., Natsiavas, P., Krithara, A., Christodoulou, E. G., Antonakakis, M., & Plexousakis, D. (2024). The smartHEALTH European Digital Innovation Hub experiences and challenges for accelerating the transformation of public and private organizations within the innovation ecosystem. Frontiers in medicine, 11, 1503235. https://doi.org/10.3389/fmed.2024.1503235


Zou, W., Natsiavas, P., & Gottlieb, A. (2024). Editorial: AI/ML in pharmacovigilance and pharmacoepidemiology. Frontiers in drug safety and regulation, 4, 1517365. https://doi.org/10.3389/fdsfr.2024.1517365


Wright, R. O., Makris, K. C., Natsiavas, P., Fennell, T., Rushing, B. R., & Wilson, A. (2024). A long and winding road: Culture change on data sharing in exposomics. Exposome, 4(1), osae004. https://doi.org/10.1093/exposome/osae004


Chytas, A., Bassileiades, N., & Natsiavas, P. (2024). Mapping OMOP-CDM to RDF: Bringing Real-World-Data to the Semantic Web Realm. Studies in health technology and informatics, 316, 1406–1410. https://doi.org/10.3233/SHTI240674


Papapostolou, G., Chytas, A., Rekkas, A., Bigaki, M., Zeimpekis, D., Dermentzoglou, L., Tortopidis, G., & Natsiavas, P. (2024). Real-World Data in Greece: Mapping the Papageorgiou General Hospital Data to the OMOP Common Data Model. Studies in health technology and informatics, 316, 1324–1325. https://doi.org/10.3233/SHTI240656


Dimitsaki, S., Natsiavas, P., & Jaulent, M. C. (2024). Causal Deep Learning for the Detection of Adverse Drug Reactions: Drug-Induced Acute Kidney Injury as a Case Study. Studies in health technology and informatics, 316, 803–807. https://doi.org/10.3233/SHTI240533


Kastampolidou, K., Gavriilidis, G. I., & Natsiavas, P. (2024). Machine Learning upon RDF Knowledge Graphs for Drug Safety: A Case Study on Reactome Data. Studies in health technology and informatics, 316, 873–874. https://doi.org/10.3233/SHTI240550


Farmaki, A., Schmitt, T., & Natsiavas, P. (2024). Exploring User Views on Telemedicine to Support Cancer Patients: Insights from Focus Group Discussions in the Context of the eCAN Joint Action. Studies in health technology and informatics, 316, 55–56. https://doi.org/10.3233/SHTI240343


Bonotis, P., Siopis, N., Lalas, A., Votis, K., Tzovaras, D., & Natsiavas, P. (2024). Physicians’ Views of a Digital Intervention to Support Respiratory Patients: Take-a-Breath Pre-Pilot Usability Study. Studies in health technology and informatics, 316, 33–37. https://doi.org/10.3233/SHTI240338


Bonotis, P., Siopis, N., Lalas, A., Votis, K., Tzovaras, D., & Natsiavas, P. (2024). Pre-Pilot Usability Study of the Take-A-Breath Project: A Personalized Platform for Respiratory Disease Management. Studies in health technology and informatics, 316, 418–419. https://doi.org/10.3233/SHTI240437






2023

Dimitsaki, S., Gavriilidis, G. I., Dimitriadis, V. K., & Natsiavas, P. (2023). Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence. Artificial intelligence in medicine, 137, 102490. https://doi.org/10.1016/j.artmed.2023.102490


Dimitriadis, V. K., Dimitsaki, S., Chytas, A., Gavriilidis, G. I., Kakalou, C., Bonotis, P., & Natsiavas, P. (2023). An open-source platform integrating emerging data sources to support multi-modal active pharmacovigilance. Frontiers in Drug Safety and Regulation, 2, 1016042. https://doi.org/10.3389/fdsfr.2022.1016042

Chytas, A., Dimitriadis, V., Giannios, G., Grammatikopoulou, M., Nikolaidis, G., Pliatsika, J., Zachariadou, M., Karanikas, H., Kompatsiaris, I., Nikolopoulos, S., & Natsiavas, P. (2023). The PrescIT Knowledge Graph: Supporting ePrescription to Prevent Adverse Drug Reactions. Studies in health technology and informatics, 302, 551–555. https://doi.org/10.3233/SHTI230203

Dimitriadis, V., Chytas, A., Grammatikopoulou, M., Nikolaidis, G., Pliatsika, J., Zachariadou, M., Nikolopoulos, S., & Natsiavas, P. (2023). Use of Real-World Data to Support Adverse Drug Reactions Prevention During ePrescription. Studies in health technology and informatics, 305, 226–229. https://doi.org/10.3233/SHTI230469

Bonotis, P., & Natsiavas, P. (2023). Physician-Reported Experience and Usability of the MyPal Platform: A Palliative Care Digital Health Intervention. Studies in health technology and informatics, 302, 686–687. https://doi.org/10.3233/SHTI230239

Dimitsaki, S., Natsiavas, P., & Jaulent, M. C. (2023). Transfer Learning for Early Prediction of Adverse Drug Reactions: Docetaxel and Alopecia in Breast Cancer as a Case Study. Studies in health technology and informatics, 302, 396–397. https://doi.org/10.3233/SHTI230158

Bonotis, P., & Natsiavas, P. (2023). A Platform Promoting Inter-Physician Interaction to Support the Management of Adverse Drug Reactions for CLL Patients. Studies in health technology and informatics, 302, 384–385. https://doi.org/10.3233/SHTI230152

Bonotis, P., & Natsiavas, P. (2023). Questionnaire to Capture the Over Time User Preference During the Comparison of Pharmacovigilance Software Systems. Studies in health technology and informatics, 305, 357–358. https://doi.org/10.3233/SHTI230504





2022

Dimitriadis, V. K., Alexopoulou, C., Amfilochiou, A., Steiropoulos, P., Trakada, G., Siopi, D., Pataka, A., Hatziagorou, E., Konstandinidis, A., HR-HMV Data Curation Group, Tsanakas, J., Tsara, V., & Natsiavas, P. (2022). Hellenic registry of patients with home mechanical ventilation (HR-HMV): profiling sleep Apnea-Hypopnea syndrome patients across Greece. BMC medical informatics and decision making, 22(1), 257. https://doi.org/10.1186/s12911-022-01989-1

Kakalou, C., Polychronidou, E., Drosou, V., Dimitriadis, V. K., Dermaris, T., Kordonias, R., Papaprodromou, A., Tsirelis, T., Maramis, C., Votis, K., Tzovaras, D., Savarino, D., Maffeo, M., Jasic, N., Nemeth Blažić, T., Dominković, Z., Pogledić, D., Jovovic, I., Simkunaite-Zazecke, A., Stoniene, L., … Natsiavas, P. (2022). Privacy-Preserving Partner Notification Service to Control Sexually Transmitted Infections. Studies in health technology and informatics, 290, 1078–1079. https://doi.org/10.3233/SHTI220276


Kakalou, C., Dimitsaki, S., Dimitriadis, V. K., & Natsiavas, P. (2022). Exploiting Social Media for Active Pharmacovigilance: The PVClinical Social Media Workspace. Studies in health technology and informatics, 290, 739–743. https://doi.org/10.3233/SHTI220176


Kakalou, C., Polychronidou, E., Drosou, V., Dimitriadis, V. K., Dermaris, T., Kordonias, R., Papaprodromou, A., Tsirelis, T., Maramis, C., Votis, K., Tzovaras, D., Savarino, D., Maffeo, M., Jasic, N., Nemeth-Blažić, T., Dominković, Z., Pogledić, D., Jovovic, I., Simkunaite-Zazecke, A., Stoniene, L., … Natsiavas, P. (2022). A GDPR-Compliant Partner Notification Service. Studies in health technology and informatics, 289, 460–464. https://doi.org/10.3233/SHTI210957


Garani-Papadatos, T., Natsiavas, P., Meyerheim, M., Hoffmann, S., Karamanidou, C., & Payne, S. A. (2022). Ethical Principles in Digital Palliative Care for Children: The MyPal Project and Experiences Made in Designing a Trustworthy Approach. Frontiers in digital health, 4, 730430. https://doi.org/10.3389/fdgth.2022.730430


Bonotis, P., Schera, F., Karamanidou, C., Scarfo, L., Pontikoglou, C., & Maramis, C. (2022). Co-designing smartphone notifications according to the clinical routine of cancer patients. Studies in Health Technology and Informatics, 289. https://doi.org/10.3233/SHTI210967










2021

Scarfò, L., Karamanidou, C., Doubek, M., Garani-Papadatos, T., Didi, J., Pontikoglou, C., Ling, J., Payne, C., Papadaki, H. A., Rosenquist, R., Stavroyianni, N., Payne, S., Ghia, P., Natsiavas, P., Maramis, C., & Stamatopoulos, K. (2021). MyPal ADULT study protocol: a randomised clinical trial of the MyPal ePRO-based early palliative care system in adult patients with haematological malignancies. BMJ open, 11(11), e050256. https://doi.org/10.1136/bmjopen-2021-050256

Gavriilidis, G. I., Dimitriadis, V. K., Jaulent, M. C., & Natsiavas, P. (2021). Identifying Actionability as a Key Factor for the Adoption of ‘Intelligent’ Systems for Drug Safety: Lessons Learned from a User-Centred Design Approach. Drug safety, 44(11), 1165–1178. https://doi.org/10.1007/s40264-021-01103-w


Lazarus, J. V., Kakalou, C., Palayew, A., Karamanidou, C., Maramis, C., Natsiavas, P., Picchio, C. A., Villota-Rivas, M., Zelber-Sagi, S., & Carrieri, P. (2021). A Twitter discourse analysis of negative feelings and stigma related to NAFLD, NASH and obesity. Liver international : official journal of the International Association for the Study of the Liver, 41(10), 2295–2307. https://doi.org/10.1111/liv.14969


Natsiavas, P., Mazzeo, G., Faiella, G., Campegiani, P., Dumortier, J., Stan, O., Nalin, M., Mari Martinez, D., Theodouli, A., Moschou, K., Votis, K., Coppolino, L., Romano, M., Tzovaras, D., Clemente, F., Gelenbe, E., & Romano, L. (2021). Developing an infrastructure for secure patient summary exchange in the EU context: Lessons learned from the KONFIDO project. Health informatics journal, 27(2), 14604582211021459. https://doi.org/10.1177/14604582211021459


Koumakis, L., Schera, F., Parker, H., Bonotis, P., Chatzimina, M., Argyropaidas, P., Zacharioudakis, G., Schäfer, M., Kakalou, C., Karamanidou, C., Didi, J., Kazantzaki, E., Scarfo, L., Marias, K., & Natsiavas, P. (2021). Fostering Palliative Care Through Digital Intervention: A Platform for Adult Patients With Hematologic Malignancies. Frontiers in digital health, 3, 730722. https://doi.org/10.3389/fdgth.2021.730722


Hoffmann, S., Schraut, R., Kröll, T., Scholz, W., Belova, T., Erhardt, J., Gollmer, D., Mauck, C., Zacharioudakis, G., Meyerheim, M., Bonotis, P., Kakalou, C., Chatzimina, M., Karamanidou, C., Sander, A., Didi, J., Graf, N., & Natsiavas, P. (2021). AquaScouts: ePROs Implemented as a Serious Game for Children With Cancer to Support Palliative Care. Frontiers in digital health, 3, 730948. https://doi.org/10.3389/fdgth.2021.730948

Kakalou, C., Polychronidou, E., Drosou, V., Dimitriadis, V. K., Dermaris, T., Kordonias, R., Papaprodromou, A., Tsirelis, T., Maramis, C., Votis, K., Tzovaras, D., Savarino, D., Maffeo, M., Jasic, N., Nemeth-Blažić, T., Dominković, Z., Pogledić, D., Jovovic, I., Simkunaite-Zazecke, A., Stoniene, L., Sammut, A., Cosmaro, L., & Natsiavas, P. (2021). RiskRadar: Development and pilot results of a technical intervention targeting combination prevention regarding HIV, viral hepatitis, sexually transmitted infections and tuberculosis. BMC Infectious Diseases, 21(Suppl 2), 866. https://doi.org/10.1186/s12879-021-06501-0 

 

Raben, D., Casabona, J., Cosmaro, L., Gasbarrini, N., Lambert, J. S., Glapsy, S., Kakalou, C., Maffeo, M., Mommi, M., Corradini, G., Klavs, I., Kurbatova, A., Wawer, I., Wysocki, P., Raahauge, A., Jakobsen, S. F., Lazarus, J. V., Sullivan, A., Kall, M., Hedrich, D., Case Johnson, C., Seguy, N. S., Simões, D., & Delpech, V. (2021). Lessons learned from the first European project on the integration of infectious diseases in testing services, data collection and country responses. BMC Infectious Diseases, 21(Suppl 2), 690. https://doi.org/10.1186/s12879-021-06362-7 

 

Dimitriadis, V. K., Gavriilidis, G. I., & Natsiavas, P. (2021). Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data. Studies in health technology and informatics, 281, 555–559. https://doi.org/10.3233/SHTI210232


Natsiavas, P., Stavropoulos, T. G., Pliatsios, A., Karanikas, H., Gavriilidis, G. I., Dimitriadis, V. K., Nikolaidis, G., Nikolopoulos, S., Skapinakis, P., Thireos, E., & Kompatsiaris, I. (2021). Using Business Process Management Notation to Model Therapeutic Prescription Protocols: The PrescIT Approach. Studies in health technology and informatics, 281, 1089–1090. https://doi.org/10.3233/SHTI210358


Bonotis, P., Chytas, A., Zacharioudakis, G., Karamanidou, C., Koumakis, L., Stamatopoulos, K., & Natsiavas, P. (2021). Randomization of Clinical Trial Participants via an Integrated Web Service. Studies in health technology and informatics, 281, 1124–1125. https://doi.org/10.3233/SHTI210375




2020

Chawner, S. J. R. A., Mihaljevic, M., Morrison, S., Eser, H. Y., Maillard, A. M., Nowakowska, B., MINDDS Consortium, van den Bree, M. B. M., & Swillen, A. (2020). Pan-european landscape of research into neurodevelopmental copy number variants: A survey by the MINDDS consortium. European journal of medical genetics, 63(12), 104093. https://doi.org/10.1016/j.ejmg.2020.104093

Karamanidou, C., Natsiavas, P., Koumakis, L., Marias, K., Schera, F., Schäfer, M., Payne, S., & Maramis, C. (2020). Electronic Patient-Reported Outcome-Based Interventions for Palliative Cancer Care: A Systematic and Mapping Review. JCO clinical cancer informatics, 4, 647–656. https://doi.org/10.1200/CCI.20.00015

Natsiavas, P., Gavriilidis, G. I., Linardaki, Z., Kolangi, G., Gkaliagkousi, E., Zamboulis, C., & Jaulent, M. C. (2020). Supporting Active Pharmacovigilance via IT Tools in the Clinical Setting and Beyond: Regulatory and Management Aspects. Studies in health technology and informatics, 272, 342–345. https://doi.org/10.3233/SHTI200565

Karamanidou, C., Maramis, C., Stamatopoulos, K., & Koutkias, V. (2020). Development of a ePRO-Based Palliative Care Intervention for Cancer Patients: A Participatory Design Approach. Studies in health technology and informatics, 270, 941–945. https://doi.org/10.3233/SHTI200300

Kakalou, C., Cosmaro, L., Dimitriadis, V. K., Raahauge, A., Raben, D., & Koutkias, V. (2020). ICT Toolkit for Integrated Prevention, Testing and Linkage to Care Across HIV, Hepatitis, STIs and Tuberculosis in Europe. Studies in health technology and informatics, 270, 848–852. https://doi.org/10.3233/SHTI200281






2019

Natsiavas, P., Malousi, A., Bousquet, C., Jaulent, M. C., & Koutkias, V. (2019). Computational Advances in Drug Safety: Systematic and Mapping Review of Knowledge Engineering Based Approaches. Frontiers in pharmacology, 10, 415. https://doi.org/10.3389/fphar.2019.00415

Nalin, M., Baroni, I., Faiella, G., Romano, M., Matrisciano, F., Gelenbe, E., Martinez, D. M., Dumortier, J., Natsiavas, P., Votis, K., Koutkias, V., Tzovaras, D., & Clemente, F. (2019). The European cross-border health data exchange roadmap: Case study in the Italian setting. Journal of biomedical informatics, 94, 103183. https://doi.org/10.1016/j.jbi.2019.103183

Koutkias V. (2019). From Data Silos to Standardized, Linked, and FAIR Data for Pharmacovigilance: Current Advances and Challenges with Observational Healthcare Data. Drug safety, 42(5), 583–586. https://doi.org/10.1007/s40264-018-00793-z

Natsiavas, P., Jaulent, M. C., & Koutkias, V. (2019). A Knowledge-Based Platform for Assessing Potential Adverse Drug Reactions at the Point of Care: User Requirements and Design. Studies in health technology and informatics, 264, 1007–1011. https://doi.org/10.3233/SHTI190376

Kakalou, C., Lazarus, J. V., & Koutkias, V. (2019). Mining Social Media for Perceptions and Trends on HIV Pre-Exposure Prophylaxis. Studies in health technology and informatics, 264, 959–963. https://doi.org/10.3233/SHTI190366

Natsiavas, P., Kakalou, C., Votis, K., Tzovaras, D., & Koutkias, V. (2019). Citizen Perspectives on Cross-Border eHealth Data Exchange: A European Survey. Studies in health technology and informatics, 264, 719–723. https://doi.org/10.3233/SHTI190317

Kyriakidis, K., Charalampidou, A., Natsiavas, P., Vizirianakis, I. S., & Malousi, A. (2019). Linking Exome Sequencing Data with Drug Response Aberrations. Studies in health technology and informatics, 264, 1845–1846. https://doi.org/10.3233/SHTI190677

Koutkias, V., Bouaud, J., & Section Editors for the IMIA Yearbook Section on Decision Support (2019). Contributions on Clinical Decision Support from the 2018 Literature. Yearbook of medical informatics, 28(1), 135–137. https://doi.org/10.1055/s-0039-1677929


2018

Natsiavas, P., Rasmussen, J., Voss-Knude, M., Votis, K., Coppolino, L., Campegiani, P., Cano, I., Marí, D., Faiella, G., Clemente, F., Nalin, M., Grivas, E., Stan, O., Gelenbe, E., Dumortier, J., Petersen, J., Tzovaras, D., Romano, L., Komnios, I., & Koutkias, V. (2018). Comprehensive user requirements engineering methodology for secure and interoperable health data exchange. BMC medical informatics and decision making, 18(1), 85. https://doi.org/10.1186/s12911-018-0664-0

Natsiavas, P., Boyce, R. D., Jaulent, M. C., & Koutkias, V. (2018). OpenPVSignal: Advancing Information Search, Sharing and Reuse on Pharmacovigilance Signals via FAIR Principles and Semantic Web Technologies. Frontiers in pharmacology, 9, 609. https://doi.org/10.3389/fphar.2018.00609



2017

Knowledge Base workgroup of the Observational Health Data Sciences and Informatics (OHDSI) collaborative (2017). Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. Journal of biomedical semantics, 8(1), 11. https://doi.org/10.1186/s13326-017-0115-3

Koutkias, V. G., Lillo-Le Louët, A., & Jaulent, M. C. (2017). Exploiting heterogeneous publicly available data sources for drug safety surveillance: computational framework and case studies. Expert opinion on drug safety, 16(2), 113–124. https://doi.org/10.1080/14740338.2017.1257604

Caron, A., Chazard, E., Muller, J., Perichon, R., Ferret, L., Koutkias, V., Beuscart, R., Beuscart, J. B., & Ficheur, G. (2017). IT-CARES: an interactive tool for case-crossover analyses of electronic medical records for patient safety. Journal of the American Medical Informatics Association : JAMIA, 24(2), 323–330. https://doi.org/10.1093/jamia/ocw132

Triantafyllidis, A. K., Velardo, C., Salvi, D., Shah, S. A., Koutkias, V. G., & Tarassenko, L. (2017). A Survey of Mobile Phone Sensing, Self–Reporting, and Social Sharing for Pervasive Healthcare. IEEE journal of biomedical and health informatics, 21(1), 218–227. https://doi.org/10.1109/JBHI.2015.2483902

2016

Koutkias, V., & Jaulent, M. C. (2016). A Multiagent System for Integrated Detection of Pharmacovigilance Signals. Journal of medical systems, 40(2), 37. https://doi.org/10.1007/s10916-015-0378-0

2015

Koutkias, V. G., & Jaulent, M. C. (2015). Computational approaches for pharmacovigilance signal detection: toward integrated and semantically-enriched frameworks. Drug safety, 38(3), 219–232. https://doi.org/10.1007/s40264-015-0278-8

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