collects the local population's data across multiple information technology resources combined into a single patient's record, improving their clinical and financial outcomes. It assists with the proper patient identification and seamlessly collects healthcare data from multiple healthcare sources.
is an approach to identify and resolve healthcare issues of the whole population. It segments the needs of the patients and provides them with the best services to meet their needs. The local population is divided into several groups depending on their health risk identification and various aspects such as health behaviors, health status and use, and quality of available services.
and risk stratification contribute to improved overall health outcomes, increasing patient satisfaction and loyalty towards this digital technology. It instantly discovers high-risk patients from a clinical perspective, resulting in providing them with the best possible services. The performance and feedback are measured and recorded in the patient's data, and the benefits are tailoring accordingly. The ultimate goal of population health data analytics is to improve patients' healthcare quality while reducing cost. The Healthcare providers are incentivizing to treat and provide as many patients as possible; the payment for such is highly dependent on the service and the following health outcomes.
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