Patient Perceptions of Artificial Intelligence–Supported Shared Decision-Making in UK Primary Care for Multiple Long-Term Conditions: Qualitative Study - Summary - MDSpire

Patient Perceptions of Artificial Intelligence–Supported Shared Decision-Making in UK Primary Care for Multiple Long-Term Conditions: Qualitative Study

  • By

  • Charlotte Spurway

  • Sarah Flanagan

  • Jenny Cooper

  • Francesca L Crowe

  • Shamil Haroon

  • Tom Marshall

  • Leah Fitzsimmons

  • Eleanor Hathaway

  • Krishnarajah Nirantharakumar

  • Thomas Jackson

  • Sheila Greenfield

  • Louise Jackson

  • July 3, 2026

  • 0 min

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Objective:

To explore how patients perceive the use of AI in shared decision-making (SDM) during GP consultations for managing multiple long-term conditions (MLTCs).

Approach:
  • Qualitative Interviews: The OPTIMAL project utilized two rounds of qualitative interviews to gather insights from patients and GPs regarding the potential use of AI in managing MLTCs.
Key Findings:
  • Patients with MLTCs face challenges in engaging in SDM due to polypharmacy, time constraints, and lack of relevant evidence.
  • AI has the potential to support personalized decision-making by analyzing complex data related to multimorbidity and prescribing.
Interpretation:

Understanding patient perspectives on AI in SDM is crucial for designing effective tools that enhance patient-centered care in the context of MLTCs.

Limitations:
  • The study may not capture the full range of patient experiences and perceptions regarding AI in SDM.
  • Findings may be limited to the specific context of UK primary care and may not be generalizable to other healthcare settings.
Conclusion:

AI could facilitate personalized discussions and enhance patient engagement in SDM for patients with MLTCs, but further research is needed to understand its implementation.

Sources:

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