Obiettivo
Implementation of Hospital Information Systems (HIS)s at large hospitals is becoming more and more a routine. Initially restricted to accounting tasks, many of these systems are now capable to build and manage complete medical records. This new generation of HISs improves the control of clinical data flow and the quality of information but does not solve the problem of information overload. Medical records contain more information than any user can handle and the retrieval of information meaningful for patient care is still difficult and time consuming. Techniques to structure this information and help the health care practitioner navigate through the patient data, as well as the ability to abstract higher level information from the patient record would be useful adjuncts to HISs. It will allow rapid review of care of past and present medical history, surveillance of quality of care and will assist with clinical decision making.
The goal of this project is to explore a solution to this problem of information overload in an effort to improve health-care delivery. This will be performed by studying techniques such as graphics, hypertext and artificial intelligence that assist the user to easily access on-line medical records and retrieve the information he needs for more reliable and more adequate patient care.
A project was initiated to explore a solution to the problem of information overload to improve health care delivery. This was performed by implementing a prototype demonstrator that assists the user to easily access on line medical records. The system is based on predefined user requirements and uses techniques such as graphics, hypertext and artificial intelligence. The project was carried out in three main phases:
Design: Investigation was carried out in 3 countries to determine the information needs for representative groups of hospital information users. Requirements for developing intelligent and adaptive information retrieval (IR) systems were then defined and modelled. Implementation: A prototype information retrieval system was developed based on the requirements identified in the design phase. Evaluation: The prototype was evaluated from the point of view of developing generalized information retrieval systems. To define the kind of functionalities that must be added to a general IR system adapted to the needs of clinical practice, the user requirements in medical settings were studied. The definition of user requirements during the IRHIS project was a three step process:
orientation phase with an overview of the potential users and their activities;
definition of data grouping with respect to tasks;
interview about users' information needs based on a well structured questionnaire. Software quality metrics were used to evaluate the success of the methods used in this project. The evaluation tool place whenever possible with the same users. A high level of users were satisfied with IRHIS. More precisely:
the use of icons for the selection of the different parts of a patient record was well received;
the overview of patient data in terms of substrates derived by the knowledge based system appears to be an original and highly appreciated feature;
the presence of a medical consultant was greatly appreciated by the users. The on line availability of documentation about drugs, protocols and tests performed in the hospital corresponded to real needs.
Within the limited framework of the AIM pilot phase, we do not plan to study the hospital problem in its entirety but we will focus on the limited domain of Hemato-Oncology, and more particularly on the monitoring of patient undergoing chemotherapy protocols.
The project consists of three main phases. In the first phase (Problem Definition and System Requirements), the information needs for indicative groups of hospital information users will be determined. Investigation in at least two countries will be carried out to determine which type of information is most relevant for each group of users and how this information is used and should be presented. Then, the requirements for developing intelligent and adaptive information retrieval systems will be determined and modeled. In the second phase (Implementation), a prototype information retrieval system will be developed based on the requirements identified in the design phase. Building the prototype, we will explore how graphics, hypertext and Artificial Intelligence (more particularly knowledge base systems) techniques can be used, and eventually combined, to allow more efficient access to a HIS. Finally, in the third phase (Evaluation), results will be evaluated from the point of view of deriving and modelling the requirements for developing generalized information retrieval systems.
Main Deliverables :
Report defining the user requirements and modeling for a user adaptive retrieval tool, general functionalities of the system, specifications of the way the patient data are extracted from actual patient records and the prototype P.I.S. is built, and prototype demonstrator.
Campo scientifico (EuroSciVoc)
Programma(i)
Programmi di finanziamento pluriennali che definiscono le priorità dell’UE in materia di ricerca e innovazione.
Programmi di finanziamento pluriennali che definiscono le priorità dell’UE in materia di ricerca e innovazione.
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Gli inviti a presentare proposte sono suddivisi per argomenti. Un argomento definisce un’area o un tema specifico per il quale i candidati possono presentare proposte. La descrizione di un argomento comprende il suo ambito specifico e l’impatto previsto del progetto finanziato.
Invito a presentare proposte
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Procedura per invitare i candidati a presentare proposte di progetti, con l’obiettivo di ricevere finanziamenti dall’UE.
Meccanismo di finanziamento
Meccanismo di finanziamento (o «Tipo di azione») all’interno di un programma con caratteristiche comuni. Specifica: l’ambito di ciò che viene finanziato; il tasso di rimborso; i criteri di valutazione specifici per qualificarsi per il finanziamento; l’uso di forme semplificate di costi come gli importi forfettari.
Meccanismo di finanziamento (o «Tipo di azione») all’interno di un programma con caratteristiche comuni. Specifica: l’ambito di ciò che viene finanziato; il tasso di rimborso; i criteri di valutazione specifici per qualificarsi per il finanziamento; l’uso di forme semplificate di costi come gli importi forfettari.
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Coordinatore
Belgio
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