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Introduction: Electronic health record (EHR) data enhance opportunities for conducting surveillance of diabetes. The objective of this study was to identify the number of people with diabetes from a diabetes DataLink developed as part of the SUPREME-DM (SUrveillance, PREvention, and ManagEment of Diabetes Mellitus) project, a consortium of 11 integrated health systems that use comprehensive EHR data for research., Methods: We identified all members of 11 health care systems who had any enrollment from January 2005 through December 2009. For these members, we searched inpatient and outpatient diagnosis codes, laboratory test results, and pharmaceutical dispensings from January 2000 through December 2009 to create indicator variables that could potentially identify a person with diabetes. Using this information, we estimated the number of people with diabetes and among them, the number of incident cases, defined as indication of diabetes after at least 2 years of continuous health system enrollment., Results: The 11 health systems contributed 15,765,529 unique members, of whom 1,085,947 (6.9%) met 1 or more study criteria for diabetes. The nonstandardized proportion meeting study criteria for diabetes ranged from 4.2% to 12.4% across sites. Most members with diabetes (88%) met multiple criteria. Of the members with diabetes, 428,349 (39.4%) were incident cases., Conclusion: The SUPREME-DM DataLink is a unique resource that provides an opportunity to conduct comparative effectiveness research, epidemiologic surveillance including longitudinal analyses, and population-based care management studies of people with diabetes. It also provides a useful data source for pragmatic clinical trials of prevention or treatment interventions.

It has been hypothesized that incidence of and mortality from several malignancies are increased among diabetic patients. Whether certain treatment modalities, including use of metformin, sulfonylureas, or insulins, affect cancer incidence or mortality and whether use of long-acting insulin analogues glargine and detemir may increase cancer incidence more than traditional human insulins are debated. The objective was to investigate the association between specific glucose-lowering agents and cancer incidence in diabetic members of an Israeli health maintenance organization. We studied a cohort of 36,342 diabetic patients aged at least 18 years with no history of cancer or treatment with insulin as of January 1, 2003. For the period from January 2003 to December 2007, we searched pharmacy records for purchases of glucose-lowering agents, including metformin, sulfonylureas, human insulin, and analogue insulins. Incident cancer diagnoses were identified from the health maintenance organization cancer registry. We studied the association of cancer incidence with the use of specific glucose-lowering agents, controlling for age, sex, and baseline glycohemoglobin measurement. Cancer was diagnosed in 6% of the study cohort during 164,652 person-years of follow-up time. Cancer incidence increased with age and varied with medication purchasing patterns. On multivariate analysis, age (hazard ratio [HR], 1.049; confidence interval [CI], 1.045-1.052), male sex (HR, 1.16; CI, 1.065-1.264), and number of insulin purchases (HR, 1.007; CI, 1.001-1.012) were significantly associated with increased cancer risk, whereas number of metformin purchases was associated with reduced cancer risk (HR, 0.996; CI, 0.994-0.998). Male sex, age, and human insulin purchases were associated with increased cancer incidence, whereas metformin purchases were associated with decreased cancer risk. There was a trend for increased cancer incidence associated with use of long-acting insulin analogues, but the number of long-acting insulin analogue users was too small for risk estimates to be conclusive., (Copyright © 2011 Elsevier Inc. All rights reserved.)

This paper presents results from a demonstration project of nationwide exchange of health data for the home care of diabetic patients. A consortium of industry, academic, and health care partners has developed reusable middleware components integrated using the HOLON architecture. Engineering approaches for multi-organization systems development, lessons learned in developing layered object-oriented systems, security and confidentiality considerations, and functionality for nationwide telemedicine applications are discussed.

HOLON is a research and development effort in extending middleware in the healthcare field to support application development, in general, and guideline applications, in particular. This framework makes use of open standards for architecture, software, guideline KBs, clinical repository models, information encodings, and intelligent system modules and agents. By pursuing the use of such standards in our middleware components, we hope eventually to maximize reusability of the HOLON framework by others who also adhere to these open standards. This research reflects lessons learned about the extensions needed in these standards if healthcare middleware frameworks are to transparently support application developers and their users over the web.