TY - CHAP
T1 - A state-based model for management of type II diabetes
AU - Sordo, Margarita
AU - Hongsermeier, Tonya
AU - Kashyap, Vipul
AU - Greenes, Robert A.
PY - 2007
Y1 - 2007
N2 - The Decision Systems Group at the Brigham & Women's Hospital, Boston, USA and the Clinical Knowledge Management Group at Partners HealthCare Systems, Inc. have developed a computational model that encompasses strategies for prevention, early diagnosis, and treatment of type II diabetes and associated complications. This effort is part of an on-going, enterprise-wide strategy to improve the quality, safety, and efficiency of provided care, by maximizing the use of new clinical information technology in key issues such as complex clinical workflows, usability, controlled terminology, knowledge management, and clinical decision support carried out by Partners HealthCare System. The proposed model is a disease state management system for the continuum of diabetes care that synergistically integrates patient care and education protocols at all levels of disease management, and supports the integration of evidence-based personalized care. Our approach could be easily adapted to managing other chronic conditions e.g., hypertension, asthma, and coronary artery disease.
AB - The Decision Systems Group at the Brigham & Women's Hospital, Boston, USA and the Clinical Knowledge Management Group at Partners HealthCare Systems, Inc. have developed a computational model that encompasses strategies for prevention, early diagnosis, and treatment of type II diabetes and associated complications. This effort is part of an on-going, enterprise-wide strategy to improve the quality, safety, and efficiency of provided care, by maximizing the use of new clinical information technology in key issues such as complex clinical workflows, usability, controlled terminology, knowledge management, and clinical decision support carried out by Partners HealthCare System. The proposed model is a disease state management system for the continuum of diabetes care that synergistically integrates patient care and education protocols at all levels of disease management, and supports the integration of evidence-based personalized care. Our approach could be easily adapted to managing other chronic conditions e.g., hypertension, asthma, and coronary artery disease.
UR - http://www.scopus.com/inward/record.url?scp=34247859283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247859283&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-47527-9_2
DO - 10.1007/978-3-540-47527-9_2
M3 - Chapter
AN - SCOPUS:34247859283
SN - 3540475230
SN - 9783540475231
T3 - Studies in Computational Intelligence
SP - 27
EP - 61
BT - Advanced Computational Intelligence Paradigms in Healthcare - 1:
A2 - Yoshida, Hiro
A2 - Jain, Ashlesha
A2 - Ichalkaranje, Ajita
A2 - Jain, Lakhmi
A2 - Ichalkaranje, Nikhil
ER -