IDeS - Information and Decision Support in Biomedicine and Health Care

Main Objectives

Decision support systems (DSS) in biomedicine and health care, in the form of various applications, guidelines or reminders, is applied more often to assist the decision making processes. The complexity of decision-making procedures in these areas caused the development of various decision support systems in order to provide help to the decision makers. DSS are using existing knowledge and evidence, helping the decision maker to make appropriate decision for the specific situation. The quality and comprehensiveness of existing evidence and knowledge that are used in such systems, influence in deriving appropriate decisions, and indirectly affects decision maker`s behavior. DSS needs to be analyzed, systematized, and validated before adopting them for routine use because of its influence on decisions and decision makers.

  • Analysis of currently available Decision Support Systems in biomedicine and health care, especially in the European environment
  • Classification of existing Decision Support Systems
  • Definition of the recommendations set for successful evaluation and implementation of the Decision Support Systems

Relevant Activities 2013-2015

  • Proposal of the new EFMI WG focused on DSS issues in biomedicine and health care was accepted at the EFMI STC Conference in Prague, April 17th-19th 2013.
  • Presentation of the new EFMI WG at the CSMI Annual Assembly in Zagreb, Croatia, September 19th 2013.
  • Special Session on Decision Support Systems in Health Care at the Medical Informatics 2013, 11th Symposium of CSMI, Dubrovnik, Croatia, 7th – 9th November 2013. (
  • Presentation at the European Society of Anesthesiologists meeting, ESA 2014 Stockholm, Sweden, May 31-June 3, 2014.
  • Presentations at One Health Symposium Slavonski Brod, Croatia, 5-7 June 2014.
  • Presentation at 21st International Scientific Symposium on Biometrics Dubrovnik, Croatia, 11-14 June 2014.
  • Local WG meeting during CSMI Annual Meeting, Zagreb, Croatia, November 14, 2014.
  • Workshop “Clinical Decision Rules – Evidence or Sense Based?” organized at the MIE 2015 in Madrid, Spain, May 27th-29th 2015. (
  • Main Session “Decision Support Systems in Biomedicine and Health Care” organized by the Croatian Society for Medical Informatics at 12th Symposium Medicinska Informatika 2015., in Stubičke Toplice, Croatia, November 26th-28th 2015. (in Croatian) (
  • Individual presentations at 22nd International Scientific Symposium on Biometrics BIOSTAT 2015, Dubrovnik, Croatia, 28 June - 1 July 2015

Activities planned for 2016

  • Working group meeting in Croatia
  • Individual presentations at different meetings focused on decision support topics
  • Possible activities depending on acceptance of the H2020 project proposal ARIADNAH

Relevant Publications 2013-2015

  • Sonicki Z, Fišter K, Kern J, Vuletić S. New EFMI Working Group “Information and Decision Support in Biomedicine and Health Care”. Med.Inform. 2013;11:41-42.
  • Deželić G. The beginnings of medical informatics research in the field of medical decision-making in Croatia. Med.Inform. 2013;11:43-44.
  • Kern J. Decision Support System – What it is and why we need it? Med.Inform. 2013;11:45-46.
  • Somek M, Hercigonja-Szekeres M. Predikcija bolničkih infekcija dubinskom analizom podataka. Med.Inform. 2013;11:47-52. (in Croatian)
  • Dobša J, Daraboš N. Usage of decision tree for determination of nail position in tibial intramedullary nailing. Med.Inform. 2013;11:53-54.
  • Meštrović T, Sonicki Z, Petrunić M, Premužić-Meštrović I. Operative mortality prediction models in ruptured abdominal aortic aneurysms. Med.Inform. 2013;11:55-56.
  • Šimurina T, Sonicki Z, Kern J, Ivanković D. Predictive model of vomiting following gynecological surgery under general anesthesia. Med.Inform. 2013;11:57-58.
  • Šolić K, Kramarić-Ratković K, Antolović Z. Applying Evidential Reasoning Approach in biomedicine – example of the APGAR score. Med.Inform. 2013;11:59-60.
  • Šimurina T, Sonicki Z. Predictive model for postoperative vomiting based on CoPlot visualization technique. Eur J Anaesthesiol 2014; 31 Suppl 52: 1AP5-3. Presented at the European Society of Anesthesiologists meeting, ESA 2014 Stockholm, Sweden, May 31-June 3, 2014. Publication 3
  • Sonicki Z. Statistical Modelling and Case-Based Reasoning – Method to Capture New Experience. Presented at the One Health Symposium Slavonski Brod, Croatia, 5-7 June 2014.
  • Meštrović T. Prediction of Operative Mortality in Vascular Surgery - Using Data Mining Methods. Presented at the One Health Symposium Slavonski Brod, Croatia, 5-7 June 2014.
  • Frey L. Big Data Analytics in Clinical Research. In: Jazbec A, Pecina M, Sonicki Z, Šimic D, Vedriš M (eds.) BIOSTAT 2015 - eBook of Abstracts: Croatian Biometric Society; 2015. (
  • Sonicki Z, Fišter K, Božikov J, Sović S, Kujindžić Tiljak M, Ivanković D, Kern J, Vuletić S. Approaches for Deriving Decision Support Systems. Med.Inform. 2015;12:13-14.
  • Čaklović L, Sonicki Z. Decision Support System in Medicine. Med.Inform. 2015;12:15-16.
  • Kurtanjek Ž. Application of Computer Decision Tree Models in Diagnostics. Med.Inform. 2015;12:17-22.
  • Čaklović L. Timeline of MEG Sensors Activation. Med.Inform. 2015;12:23-24.
  • Stanić Benić M, Sonicki Z. Predictive Mathematical Model – Relationship between Antibiotic Use and Bacterial Resistance. Med.Inform. 2015;12:25-26.
  • Somek M, Hercigonja-Szekeres M. Asocijacijska pravila u funkciji oblikovanja nastavnog procesa. Med.Inform. 2015;12:27-32. (in Croatian)
  • Šolić K, Galba T, Kralik K, Ilakovac V. Ontology Based Representation of Health Status. Med.Inform. 2015;12:33-34.