{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fhlth-matters.simplecast.com%2Fepisodes%2Fai-hlth-series-reteta-8F3B7aAn","width":444,"version":"1.0","type":"rich","title":"AI @ HLTH Series : Reteta AI Platform Reduces Clinician’s Administrative Burden driving Better Patient Engagements and Improving Payer Analytical Data","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/06f313b1-6f17-4df2-bab6-3a502719e3fb/cb3c68dd-798f-4758-b60e-04493368770a/thebeat-aiathlth-spotify-thumbnail-v01.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/c456316b-9ea4-408c-aaa9-cf62d82c5af7\" height=\"200\" width=\"100%\" title=\"AI @ HLTH Series : Reteta AI Platform Reduces Clinician’s Administrative Burden driving Better Patient Engagements and Improving Payer Analytical Data\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Today’s episode discusses the role of AI in improving the healthcare and life-sciences value chain, making sure to focus on key innovations in AI-driven tools that reduce operational inefficiencies and improve patient outcomes while lowering costs. \n\nIn order to deep dive into these topics, Sandy chats with Tariq Khan from Reteta about the new possibilities for AI in improving care visibility and advancing diagnostics and therapeutics. Tariq talks about AI for clinical documentation and revenue management, AI in wearable sensors/digital biomarkers and digital therapeutics design (including validation studies), pharmacovigilance automation, and ai-driven EHR and real-world health data processing.\n"}