New models of population management for patients with diabetes - using informatics tools to support primary care.

@article{citeulike:1074174, abstract = {Diabetes management continues to fall short of evidence-based goals of care. Population management represents a new approach to diabetes care for large numbers of patients with diabetes cared for within a single clinical system. This method is information intensive and generally requires an advanced informatics infrastructure. While Information Processing is a critical first step in population management, to have a significant impact on disease control population-based intervention must also employ potent Clinical Action tools that lower barriers to effective care. In this review we present two recent population management interventions within our health system that illustrate the principles of Information Processing and Clinical Action in diabetes care.}, address = {General Medicine Unit and Laboratory of Computer Science, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.}, author = {Grant, R. W. and Lester, W. T. and Meigs, J. B. and Chueh, H. C.}, citeulike-article-id = {1074174}, doi = {10.1016/S0168-8227(06)70036-5}, issn = {0168-8227}, journal = {Diabetes Res Clin Pract}, keywords = {diabetes, grant, informatics, management, population}, month = {December}, posted-at = {2007-01-29 11:56:48}, priority = {2}, title = {New models of population management for patients with diabetes - using informatics tools to support primary care.}, url = {http://dx.doi.org/10.1016/S0168-8227(06)70036-5}, volume = {74 Suppl 2}, year = {2006} }

TY - JOUR ID - citeulike:1074174 L3 - citeulike-article-id:1074174 N2 - Diabetes management continues to fall short of evidence-based goals of care. Population management represents a new approach to diabetes care for large numbers of patients with diabetes cared for within a single clinical system. This method is information intensive and generally requires an advanced informatics infrastructure. While Information Processing is a critical first step in population management, to have a significant impact on disease control population-based intervention must also employ potent Clinical Action tools that lower barriers to effective care. In this review we present two recent population management interventions within our health system that illustrate the principles of Information Processing and Clinical Action in diabetes care. JF - Diabetes Res Clin Pract SN - 0168-8227 AD - General Medicine Unit and Laboratory of Computer Science, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. TI - New models of population management for patients with diabetes - using informatics tools to support primary care. VL - 74 Suppl 2 KW - diabetes KW - grant KW - informatics KW - management KW - population AU - Grant, RW AU - Lester, WT AU - Meigs, JB AU - Chueh, HC PY - 2006/12// UR - http://dx.doi.org/10.1016/S0168-8227(06)70036-5 ER -