*AI in Healthcare: Implications for Family Medicine and Primary Care DOI: http://dx.doi.org/10.5772/intechopen.111498*

enrolled for one week, used various system features, and were solicited to gather information from wellness sensors and input data. The CONSULT system aided the decision-making point in SDM by showing the latest interpretation of the clinical picture via individualized measurements taken from the health record and wireless sensor input. After, stylistic descriptions of automatic findings supplemented the medical suggestions offered. Overall, the existing, pertinent, concise information plus medication options and proposals helped buoy the patient-provider decision-making moment.

Overall, the relationship between AI and SDM is young. More research is needed to examine, apply, and gage the impact of AI on SDM, standardize its use, and evaluate its impact on choices that effect a population. Importantly, any AI intervention must be human-centered. Lastly, SDM is a stepwise process; therefore research must demonstrate how AI interventions better re-enforce the therapeutic relationship.
