Conversational Patient History: Difference between revisions
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Client: Conor Peacock, Alder Hey Children's Hospital <Conor.Peacock@alderhey.nhs.uk> | |||
Waiting lists for Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) assessments are growing, partly due to the extensive time specialists spend on developmental history taking-often hours per patient. This project aims to create a conversational AI tool that allows children and their parents to provide comprehensive patient history in a natural, dialogue-based manner. By engaging users in a conversational interface rather than requiring them to fill out lengthy forms, the system can extract necessary clinical information and automatically format it into a report. This innovation seeks to streamline the initial assessment process, saving specialists' time and potentially reducing waiting lists. | Waiting lists for Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) assessments are growing, partly due to the extensive time specialists spend on developmental history taking-often hours per patient. This project aims to create a conversational AI tool that allows children and their parents to provide comprehensive patient history in a natural, dialogue-based manner. By engaging users in a conversational interface rather than requiring them to fill out lengthy forms, the system can extract necessary clinical information and automatically format it into a report. This innovation seeks to streamline the initial assessment process, saving specialists' time and potentially reducing waiting lists. | ||
Latest revision as of 13:23, 22 October 2024
Client: Conor Peacock, Alder Hey Children's Hospital <Conor.Peacock@alderhey.nhs.uk>
Waiting lists for Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) assessments are growing, partly due to the extensive time specialists spend on developmental history taking-often hours per patient. This project aims to create a conversational AI tool that allows children and their parents to provide comprehensive patient history in a natural, dialogue-based manner. By engaging users in a conversational interface rather than requiring them to fill out lengthy forms, the system can extract necessary clinical information and automatically format it into a report. This innovation seeks to streamline the initial assessment process, saving specialists' time and potentially reducing waiting lists.
