This is to improve healthcare delivery by enhancing medical decisions with focused clinical knowledge, health data, and other patient information. Traditional clinical decision support (CDS) consists of clinical decision support tools designed to aid clinical decision making, in which the conditions of an individual patient are processed against a digital clinical knowledge base and recommendations, specific to the patient, are then given to the clinician for review.

Computer-based clinical decision support tools can be documented as far back as the 1970s. During that time, system integration was poor, they were time consuming and often limited to only academic undertakings. There were also ethical and legal issues around the use of computer technology in medicine and who would be at fault when using the suggestion of a flawed clinical decision support system.

Clinical decision support examples today are quickly becoming essential tools for healthcare providers as the sheer volume of available data increases with their responsibility to deliver value-based care. Clinical decision support software is primarily used at the point-of-care, for the clinician to combine their own knowledge with the suggestions provided by the clinical decision support tools. Increasingly however, there are clinical decision support system examples available today, with the capability to leverage data and observations otherwise unprocessable.

Clinical decision support is defined as any health information system, workflow, or process that delivers:

• the right information (evidence-based guidance, response to clinical need)

• to the right people (entire care team - including the patient)

• through the right channels (EHR, mobile device, patient portal)

• in the right intervention formats (order sets, flow-sheets, dashboards)

• at the right points in workflow (for decision making)

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