Cadence Conversations

From clinical practice to AI product leadership: A conversation with Kalie Dove-Maguire

Episode Notes

Join host Eve Cunningham, MD, Chief Medical Officer at Cadence, in conversation with Dr.Kalie Dove-Maguire, a physician and President and Chief Product Officer at Evidently.

Kalie works across software teams, clinicians, and health system partners to turn clinical needs into product decisions. She shares how learning to build software changed the way she approaches problems, why clinical AI must fit real workflows, and how AI can help clinicians find relevant signals in complex patient records while keeping human judgment central.

Their conversation focuses on:

Kalie’s statements are made solely in her capacity as an industry commentator. Evidently is a separate and independent company from Cadence. The views and opinions expressed by Kalie are her own and do not necessarily reflect or represent the views, opinions, or positions of Cadence.

Segments:

[01:06] A physician in product — Dove-Maguire describes her role connecting software teams, clinicians, and health system partners

[04:18] From informatics to product — How learning to code shaped her approach to problem-solving

[08:59] Building technical fluency — Exploring product and development, and learning to build for real-world use

[11:58] Why workflow matters — When a sticky note worked better than an iPad

[15:24] Turning the medical record into a data product — How Evidently reads and maps the longitudinal chart

[18:57] Finding a signal in a complex chart — A patient example Dove-Maguire shares from clinical validation

[22:57] Mapping patient and clinician context — How the patient journey and care team inform the information presented

[27:57] Evidently’s AI approach — Patient data, knowledge structures, and clinical decision support

[31:17] Where chart complexity is greatest — The health systems and patient populations Dove-Maguire says tend to need this support

[32:22] AI and the clinician as coach — Helping clinicians weigh options in light of each patient’s goals and circumstances

[39:21] Rapid fire — AI hype, overlooked opportunities, and advice for health system leaders and builders