Patient Perceptions of Artificial Intelligence–Supported Shared Decision-Making in UK Primary Care for Multiple Long-Term Conditions: Qualitative Study - Report - 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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Clinical Report: Exploring Patient Views on AI-Enhanced Shared Decision-Making

Overview

This qualitative analysis investigates patient perceptions of AI-enhanced shared decision-making (SDM) in UK primary care for multiple long-term conditions (MLTCs).

Background

The rising prevalence of multiple long-term conditions (MLTCs) poses significant challenges in primary care, including increased healthcare utilization and the risk of polypharmacy. Shared decision-making (SDM) is a collaborative approach that incorporates patient preferences into care decisions.

Data Highlights

No numerical or trial data was provided in the source material.

Key Findings

  • Patients with MLTCs face challenges in engaging with SDM due to complex health needs.
  • AI has the potential to support SDM by providing personalized information and decision aids.
  • Concerns about medicolegal vulnerability affect both patients and GPs in the context of SDM.
  • Effective SDM requires strong clinical communication skills and organizational support.
  • Patient readiness and power dynamics significantly influence the SDM process.

Clinical Implications

Healthcare professionals should be aware of the concerns related to medicolegal risks in SDM.

Conclusion

Understanding patient perspectives is vital for the implementation of technologies in primary care.

Related Resources & Content

  1. Wallace E, et al., BMJ, 2015 -- Managing patients with multimorbidity in primary care
  2. Marengoni A, et al., Ageing Res Rev, 2011 -- Aging with multimorbidity: a systematic review
  3. Johnston MC, et al., Eur J Public Health, 2019 -- Defining and measuring multimorbidity: a systematic review
  4. Elwyn G, et al., J Gen Intern Med, 2012 -- Shared decision making: a model for clinical practice
  5. Hoffmann T, et al., PLoS Med, 2018 -- The importance and challenges of shared decision making in older people with multimorbidity
  6. Journal of Medical Internet Research (JMIR) — Operationalizing Digital Health Equity in Artificial Intelligence–Enabled Patient Decision Aids for Older Adults: Mixed Methods Study
  7. npj Digital Medicine — Utilization of Artificial Intelligence for Assessing and Anticipating Patient Values and Preferences: A Scoping Review
  8. BMJ Health & Care Informatics — Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners
  9. npj Digital Medicine — A qualitative interview study investigating patient, health professional, and developer perspectives on real-world implementation of patient-centered AI systems
  10. NICE Guidance on Multimorbidity
  11. Operationalizing Digital Health Equity in AI-Enabled Patient Decision Aids
  12. Utilization of AI for Assessing Patient Values and Preferences
  13. Ambient AI in Primary Care: Survey of UK GPs
  14. Management of multimorbidity using a patient-centred care model: a pragmatic cluster-randomised trial of the 3D approach - PMC
  15. Exploring Patient Perspectives on the Use of Artificial Intelligence to Inform Joint Decision-Making for Patients With Multiple Conditions in Primary Care in the United Kingdom: Qualitative Study - PMC

Original Source(s)

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

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