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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642968/
Outpatient clinical decision support systems have had an inconsistent impact on key aspects of diabetes care. A principal barrier to success has been low use rates in many settings. Here, we identify key aspects of clinical decision support system design, content and implementation that are related ...Cited by: 17
https://www.ncbi.nlm.nih.gov/pubmed/28235017
Feb 24, 2017 · This makes the assembly and interpretation of results related to diabetes care challenging. We developed a diabetes-specific clinical decision support system (Diabetes Dashboard) interface for displaying glycemic, lipid and renal function results, in an integrated form with decision support capabilities, based on local clinical practice guidelines.Cited by: 9
https://www.longdom.org/open-access/a-decision-support-system-for-diabetes-mellitus-management-.pdf
Diabetes mellitus is considered as a dangerous chronic disease. Diagnosis is the first step in its management. Clinical decision support system (CDSS) for diabetes diagnosis improves its detection and decreases the opportunity for its complications. However, its diagnosis is a theory-less problem. Case-based reasoning (CBR) is a problem-solvingCited by: 8
https://shareddecisions.mayoclinic.org/decision-aid-information/decision-aids-for-chronic-disease/diabetes-medication-management/
Diabetes Medication Choice decision aid cards provide information on medications commonly used to treat type 2 diabetes. The information gathered from relevant research studies is organized into 7 issues that may be of interest to the patient.
https://www.researchgate.net/publication/303803655_A_Decision_Support_System_for_Diabetes_Mellitus_Management
Diabetes mellitus is considered as a dangerous chronic disease. Diagnosis is the first step in its management. Clinical decision support system (CDSS) for diabetes diagnosis improves its detection ...
https://www.sciencedirect.com/science/article/pii/S0169260798000170
Reverting to diabetes, the overall model of health care delivery and associated decision support illustrated in Fig. 5, Fig. 6 provides a clear generic and systemic framework which can, and should, be used to inform the requirements analysis and subsequent design of the particular system being developed in relation to diabetic decision support.Cited by: 24
https://www.ejbi.org/scholarly-articles/improvements-in-diabetic-patients-outcomes-in-a-clinical-decision-support-system.pdf
14 201, 1 Original Article 29 Improvements in Diabetic Patients’ Outcomes in a Clinical Decision Support System Sakiko Ota1*, Kaoru Mogushi2,3, Aizan Hirai4, Yoshihito Niimura1,5 and Hiroshi Tanaka2,6,7 1 Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan 2 Medical Research Institute, Tokyo Medical and Dental University, Tokyo, JapanAuthor: Sakiko Ota, Kaoru Mogushi, Aizan Hirai, Yoshihito Niimura, Hiroshi Tanaka
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