1、Version 2.0 December 2023CONVERSATIONAL AI TECHNOLOGY AND REMOTE PATIENT MONITORING(RPM)A CALL TO ACTIONFor the latest,detailed information on the work of the Open Voice projects of the Linux AI&Data Foundation,please visit our website at openvoicenetwork.org and the Open Voice Network GitHub Reposi

2、tory at AI TECHNOLOGY AND REMOTE PATIENT MONITORING(RPM)|LF AI&DATAExecutive SummaryThis report by the Health,Wellness,and Life Sciences Community of the Open Voice TrustMark Initiative of the LF AI&Data Foundation was created for health care professionals,organizations,and enterprises considering,l

3、everaging,or implementing conversational artificial intelligence technology(including voice assistance and generative AI applications)in Remote Patient Monitoring(RPM)/telehealth applications.As industry experts know all too well,there is a growing crisis in health and wellness delivery,driven by de

4、mographic,professional,and socio-economic market transitions.Technology-enabled RPM is an important response to this crisis.New research by Juniper Research(Remote Patient Monitoring 2023)forecasts an 8.8%CAGR in RPM adoption 2023-2027,to a global investment of$110 billion.RPM is a vital component o

5、f telehealth.This paper argues that conversational AI technologies most importantly,voice assistance can and will be an important part of RPM.In fact,early implementations suggest that across numerous clinical use cases,conditions,and symptoms conversational AI technologies and analysis drive better

6、 patient outcomes with significantly enhanced implementation and clinical efficiencies.There are many instances in which conversational AI technologies are now enabling effective RPM and better patient outcomes.Biomarker analysis the identification of leading indicators of mental and physical condit