By integrating SAM into the workflow, telemedicine physicians are significantly more efficient with their time as patient context is gathered before handoff, as are industry recognized care pathway recommendations and relevant evidence-based knowledge references. The semantic technology can digest and understand the patient's problem by consulting years of machine learning and training by Mayo Clinic experts. The result is like having a highly skilled specialist performing intake screening, pre-formatting a concise single-page patient summary, and performing exhaustive research to identify applicable references for diagnosis or treatment - all within seconds of the patient submitting their information.

• Provides call center triage thereby making valuable time more efficient and reducing overhead costs.
• Knowledge graphing allows more efficient and effective network allocation of specialized knowledge.
• Supports supervising physicians in their oversight of mid-level clinicians.

• provides Clinical Decision Support to mid-level care providers making each care provider more effective and able to invest more in the patient experience.
• is CMS approved to determine the Appropriate Use Criteria for imagery orders.
• automatically presents company protocols given the specifics of a Patient Context.
• highlights discrepancy between company protocols and industry guidance.
• presents the latest Care Pathway specific to company guideline and industry recommendation.
• automatically supplies the necessary Evidence Based content for Decision Support
• SAM’s structure has solved interoperability with EHR’s whereby patient data can assist a tele-clinician diagnose and treat a virtual patient.
• Identifies when sufficient information exists to reasonably diagnose a CMS patient.

• Recommends personalized patient education to inform and guide patient understanding and self-care.
• Understanding of the patient’s context is retained, and is able to follow to or from a care facility with supporting documentation thereby saving time and money for all stakeholders.
• Highlights patient data associated with each differential diagnosis pathway
• Considers patient history with longitudinal data when supporting the clinician’s decision.
• Knowledge graphs identify what knowledge already exists within the Patient Context, what the current status is, and what information is missing.