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A Hypertension Parallel Healthcare System Based on the ACP Approach

Hypertension, the most common chronic disease, is an enormous risk factor for cardiovascular and cerebrovascular diseases and vascular events, which has become a significant global public health problem. However, the etiology and pathogenesis of hypertension are incredibly complex. In conventional medicine, the intervention and treatment focus on the blood pressure (BP) indicator. At the same time, the Traditional Chinese Medicine (TCM) theory provides diverse perspectives, more indicators, and optional treatment. In addition, the parallel intelligence theory based on the artificial systems, computational experiments, and parallel execution (ACP) approach is proper research and practical methodology for solving management and control problems for the treatment of hypertension. In this paper, we proposed a parallel healthcare system (PHS) framework to describe patients’ conditions and diagnoses, trace the disease evolution progression, and analyze and optimize available therapeutic regimens. At last, we constructed a PHS for hypertension under TCM theory which applied to the treatment of actual volunteered patients and achieved positive effects.