Project: PSIP - Patient Safety through Intelligent Procedures in Medication
Funding: EU - FP7 - ICT-1-5.2
Duration: 2008 - 2011 (40 Monate)
Number of Partners: 13 (from Denmark, France, Greece, Italy, Austria and Rumania)
Budget: ~ 7,3 Mio. Euro (~ 300.000,- Euro for UMIT)
Project leader UMIT: This email address is being protected from spambots. You need JavaScript enabled to view it.

Project members

This email address is being protected from spambots. You need JavaScript enabled to view it., Werner Hackl, Martin Jung, Daniel Riedmann, in cooperation with the PSIP partns: University Hospitals of Lille and Rouen, Hospital in Denain, Region H in Copenhagen, Oracle, Vidal, Medasys, Acure, Aalborg University, Thessaloniki University
Background: Medication errors and resulting Adverse Drug Events (ADEs) are an important issue of global healthcare. In Germany alone, an estimated 28,000 deaths per year are associated with pre-ventable medication errors. Several groups recommend implementing electronic prescribing to reduce the number of medication errors

The overall PSIP project general objectives are to develop services (procedures, decision systems, prototypes) that:

  • Identify, by State-of-the-Art Data and Semantic Mining techniques, Healthcare situations where patient safety is at risk
  • Improve the decision support tool related to the medication cycle
  • Deliver usable, efficient and contextualised alerts and just-in-time and point of care or relevant information to healthcare professionals and patients
  • Demonstrate a significant reduction of patient risk for a sub-set of diseases and practices in the hospital setting
  • Implement standardized knowledge based tools.

1. The PSIP project will apply innovative concepts and methods to improve the existing knowledge on adverse events by mining the data repositories of Hospital Information Systems (HIS) or CPOES. This will allow to tackle the actual ADEs occurring in a given healthcare environment and to provide the healthcare professionals with a context-dependant information.

2. The PSIP project will develop contextualized-CDSS modules (Cx-CDSS) for all four main actors in the medication cycle: the physician in charge of the decision making and the ordering stage, the pharmacist in charge of the validation and the dispensing phase, the nurse in charge of the verification and administration phase, and the patient who finally receives and ingests (or not!) the drug.

3. The project intends to provide a proof of concept of an independent CDSS platform to support and secure the medication cycle equally accessible to various healthcare IT applications such as CPOE, e-prescribing, HIS, Clinical Information System (CIS), Electronic Health Record (EHR), etc. whether they are commercially available or locally ("home-grown") developed.

4. The PSIP project will adopt a Human Factors Engineering approach to the design of the CDSS system and of its Human Computer Interface. This particular approach will encourage healthcare professionals to use the system and minimize the emergence of unexpected technology-induced negative effects.

The task of UMIT is to

  • validate the developed CDSS modules based on a set of test cases (those test cases will be made available for free for the community), and
  • to evaluate the prospective impact of the developed PSIP solutions on the quality of care.

CORDIS database

PSIP project webpage

Öffentliche Projektbeschreibung auf UMIT-Webseite

Artikel in der Medical Tribune über das Projekt

Artikel in der Österreichischen Ärztezeitung über das Projekt


Jung M, Riedmann D, Hackl WO, Hörbst A, Jaspers MW, Ferret L, Lawton K, Ammenwerth E. Physicians' Perceptions on the usefulness of contextual information for prioritizing and presenting alerts in computerized physician order entry systems. BMC Medical Informatics and Decision Making.2012, 12:111.

Riedmann D, Jung M, Hackl WO, Stuhlinger W, van der Sijs H, Ammenwerth E. Development of a context model to prioritize drug safety alerts in CPOE systems. BMC Med Inform Decis Mak. 2011 May 25;11(1):35. This paper is marked as "Highly Accessed" in BiomedCentral.

Koutkias VG, McNair P, Kilintzis V, Skovhus Andersen K, Niès J, Sarfati JC, Ammenwerth E, Chazard E, Jensen S, Beuscart R, Maglaveras N. From adverse drug event detection to prevention. A novel clinical decision support framework for medication safety. Methods Inf Med 2014 Dec 1;53(6):482-92. Selected as "best paper" for the IMIA Yearbook of Medical Informatics 2015.

Jung M, Hoerbst A, Hackl WO, Kirrane F, Borbolla D, Jaspers MW, Oertle M, Koutkias V, Ferret L, Massari P, Lawton K, Riedmann D, Darmoni S, Maglaveras N, Lovis C, Ammenwerth E. Attitude of physicians towards automatic alerting in computerized physician order entry systems. A comparative international survey. Methods Inf Med. 2013;52(2):99-108. Selected as "Best Paper" for IMIA Yearbook of Medical Informatics 2013.

(please find a complete list of publications in our list of publications)