Leveraging artificial intelligence for collaborative care planning: Innovations and impacts in shared decision-making – A systematic review

Abstract

Introduction: Advance care planning is a critical process that brings patients, their families, and healthcare providers together to set goals and outline preferences for future medical treatments, especially when chronic or terminal illnesses are involved. Recently, artificial intelligence has begun playing a key role in shared decision making, offering personalized recommendations based on detailed data analysis to help refine treatment decisions. Objective: This review explores Artificial Intelligence's role in shared decision making, noting its potential to enhance treatment precision, reduce the workload for healthcare providers, and empower patients to engage more actively in their cares. Methods: The systematic review was conducted using the The Preferred Reporting Items for a Systematic Review and Meta-Analysis Statement 2020 guidelines to ensure a comprehensive and transparent approach. We utilized the online tool Rayyan for screening and selection of relevant studies. Results: The review highlights the importance of transparency and clinician involvement to ensure that artificial intelligence remains a supportive, rather than dominant, element in patient care. Emphasizing the human aspect of decision-making is essential, as is fostering a collaborative approach between artificial intelligence and healthcare professionals. Conclusion: Artificial intelligence holds promise in transforming shared decision making, ongoing research must address these implementation challenges to secure its ethical and patient-centered use in healthcare.

Ähnliche Arbeiten