Heart failure (HF) is a serious, life limiting chronic illness and is the most common cause of <30-day hospital readmission, which is costly both in its profound negative impact on patient mortality and quality of life, and in economics. Limited access to care in rural communities increases the prevalence of hospitalizations for heart disease in rural areas. The aims of this project using data mined from Arizona Health Sciences Center Clinical Research Data Warehouse, are to define clinical events (fever, pain, changes in respiratory status, change in level of consciousness, changes in output, bleeding, and suicide ideation) for patients with heart failure, and determine what assessment values are for chronically ill patients and compare to "normal" assessment values for non-chronically ill patients. A literature review was completed to determine how to define clinical events for chronically ill patients with HF, and how decision making is used at home to manage chronic illness. Assessment value data was mined from the clinical research data warehouse and compared to “normal” assessment values, with identification of associations between clinical events and action taken in the hospital. The project results support that there are differences in "normal" assessment values for fever, pain, and change in respiratory status between chronically ill patients with HF, and non-chronically ill patients; there was insufficient data to define bleeding, change in output, or suicide ideation. Impacts to care include earlier recognition of worsening HF symptoms that could result in an earlier call or visit to primary care provider forestalling the need for emergent care and hospital readmission. Application of the mined clinical may inform development of evidenced-based algorithm to guide decision-making at home, and it may also provide the foundation for the development of a tool for patient use to prevent <30-day hospital readmission.