Remote Monitoring and Detecting of Tardive Dyskinesia for Improving Patient Outcomes
The study is being conducted to validate the feasibility of remote assessment of Tardive Dyskinesia. Participants will all be taking an antipsychotic medication and half will have a diagnosis of Tardive Dyskinesia and half will not. Participant responses to interview questions and elements of the Abnormal Involuntary Movement Scale will be collected on video. The videos will be rated by trained observers. Machine learning methods will be used to develop an algorithm to detect abnormal movements in individuals with a known Tardive Dyskinesia diagnosis. The trained rater results will be compared to the algorithm to determine the accuracy of the algorithm.
