TY - GEN
T1 - Patient-tailored workflow patterns from clinical practice guidelines recommendations
AU - Sacchi, Lucia
AU - Fux, Adi
AU - Napolitano, Carlo
AU - Panzarasa, Silvia
AU - Peleg, Mor
AU - Quaglini, Silvana
AU - Shalom, Erez
AU - Soffer, Pnina
AU - Tormene, Paolo
PY - 2013
Y1 - 2013
N2 - MobiGuide is a project devoted to the development of a patient-centric decision support system based on computerized clinical guidelines for chronic illnesses including Atrial Fibrillation (AF). In this paper we describe the process of (1) identifying guideline recommendations that will require patients to take actions (e.g., take measurement, take drug), thus impacting patients' daily-life behavior, (2) eliciting from the medical experts the corresponding set of personalized operationalized advices that are not explicitly written in the guideline (patient-tailored workflow patterns) and (3) delivering this advice to patients. The analysis of the AF guideline has resulted in four types of patient-tailored workflow patterns: therapy-related advisors, measurements advisors, suggestions for dealing with interventions that may require modulating patient therapy, and personalized packages for close monitoring of patients. We will show how these patterns can be generated using information stored in a patient health record that embeds clinical data and data about the patient's personal context and preferences.
AB - MobiGuide is a project devoted to the development of a patient-centric decision support system based on computerized clinical guidelines for chronic illnesses including Atrial Fibrillation (AF). In this paper we describe the process of (1) identifying guideline recommendations that will require patients to take actions (e.g., take measurement, take drug), thus impacting patients' daily-life behavior, (2) eliciting from the medical experts the corresponding set of personalized operationalized advices that are not explicitly written in the guideline (patient-tailored workflow patterns) and (3) delivering this advice to patients. The analysis of the AF guideline has resulted in four types of patient-tailored workflow patterns: therapy-related advisors, measurements advisors, suggestions for dealing with interventions that may require modulating patient therapy, and personalized packages for close monitoring of patients. We will show how these patterns can be generated using information stored in a patient health record that embeds clinical data and data about the patient's personal context and preferences.
KW - Clinical practice guidelines
KW - decision support system
KW - patient-centric care
UR - http://www.scopus.com/inward/record.url?scp=84894310790&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-289-9-392
DO - 10.3233/978-1-61499-289-9-392
M3 - Conference contribution
C2 - 23920583
AN - SCOPUS:84894310790
SN - 9781614992882
T3 - Studies in Health Technology and Informatics
SP - 392
EP - 396
BT - MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
PB - IOS Press
T2 - 14th World Congress on Medical and Health Informatics, MEDINFO 2013
Y2 - 20 August 2013 through 23 August 2013
ER -