文献类型： 会议论文

第一作者： David Riano

作者： David Riano ¹ ; Antoni Collado ² ;

作者机构： 1.Research Group on Artificial Intelligence, Universitat Rovira i Virgili

2.SAGESSA Group

关键词： Computerized Clinical Practice Guidelines;Clinical Decision Support Systems;Health Care Modeling;Therapy Combination

会议名称： Conference on Artificial Intelligence in Medicine

主办单位：

页码： 11-16

摘要： The prevalence of chronic diseases is growing year after year. This implies that health care systems must deal with an increasing number of patients with several simultaneous pathologies (i.e., comorbid patients), which involves interventions combining primary, specialist, and hospital cares. Clinical practice guidelines provide evidence-based information on these interventions, but only on individual pathologies. This sets up the urgent need of developing ways of merging multiple singledisease interventions to provide professional assistance to comorbid patients. Here, we propose an integrated care model formalizing the treatment of chronic comorbid patients across primary, specialist and hospital cares. The model establishes the baseline of a divide-and-conquer approach to the complex task of multiple therapy combination that was tested on the comorbidity of hypertension and chronic heart failure.

分类号： tp18-53