Abstract
Community-based palliative care is a useful, but underutilized service to support seriously ill older adults to remain safely at home and improve quality of life. Clinical decision support tools can assist palliative care need assessments if presented in a way that is useful to clinicians. This case study explores the potential for generative artificial intelligence (AI) to translate diagnostic and billing codes from administrative data into a narrative format to facilitate clinical decision-making regarding palliative care need. Informatics structures for protecting patient confidentiality are described. Generative AI has the potential to support clinical decision-making but requires additional testing, validation, and refinement.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
