TY - GEN
T1 - Towards a realistic clinical-guidelines application framework
T2 - BPM 2012 Joint Workshop on 5th Workshop of Process-Oriented Information Systems in Health Care, ProHealth 2012 and 4th Workshop on Knowledge Representation for Health Care, KR4HC 2012
AU - Shalom, Erez
AU - Fridman, Iliya
AU - Shahar, Yuval
AU - Hatsek, Avner
AU - Lunenfeld, Eitan
PY - 2013
Y1 - 2013
N2 - Clinicians can benefit from automated support to guideline (GL) application at the point of care. However, several conceptual dimensions should be considered for a realistic application: 1) The representation of the knowledge might be through structured text (semi-formal), or specified in a machinecomprehensible language (formal); 2) The availability of electronic patient data might be partial or full; 3) GL-based recommendations might be triggered by a human-initiated (synchronous) session, or data-driven (asynchronous). In addition, several requirements must be fulfilled, such as an evaluation of the GL application engine by a GL simulation engine. Finally, to apply multiple GLs, by multiple users, in multiple settings, the GL-application engine should be designed as an enterprise architecture that can plug into any Electronic Medical Record (EMR). We present an architecture fulfilling these desiderata, describe application examples with different conceptual dimensions and requirements, using our new GL-application engine, PICARD, discuss lessons learned, and briefly describe a clinical evaluation of the current framework in the domain of pre-eclampsia/toxemia of pregnancy.
AB - Clinicians can benefit from automated support to guideline (GL) application at the point of care. However, several conceptual dimensions should be considered for a realistic application: 1) The representation of the knowledge might be through structured text (semi-formal), or specified in a machinecomprehensible language (formal); 2) The availability of electronic patient data might be partial or full; 3) GL-based recommendations might be triggered by a human-initiated (synchronous) session, or data-driven (asynchronous). In addition, several requirements must be fulfilled, such as an evaluation of the GL application engine by a GL simulation engine. Finally, to apply multiple GLs, by multiple users, in multiple settings, the GL-application engine should be designed as an enterprise architecture that can plug into any Electronic Medical Record (EMR). We present an architecture fulfilling these desiderata, describe application examples with different conceptual dimensions and requirements, using our new GL-application engine, PICARD, discuss lessons learned, and briefly describe a clinical evaluation of the current framework in the domain of pre-eclampsia/toxemia of pregnancy.
KW - Automatic application
KW - Clinical guidelines
KW - Evaluation
KW - Knowledge representation
KW - Medical decision support systems
KW - Simulation
KW - Telemedicine
UR - https://www.scopus.com/pages/publications/84893411591
U2 - 10.1007/978-3-642-36438-9_4
DO - 10.1007/978-3-642-36438-9_4
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AN - SCOPUS:84893411591
SN - 9783642364372
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 56
EP - 70
BT - Process Support and Knowledge Representation in Health Care - BPM 2012 Joint Workshop, ProHealth 2012/KR4HC 2012, Revised Selected Papers
Y2 - 3 September 2012 through 3 September 2012
ER -