{"podcast":{"title":"Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science","slug":"data-futurology-leadership-and-strategy","podcast_index_feed_id":68063,"rss_url":"https://anchor.fm/s/3fab060/podcast/rss","website_url":"https://www.datafuturology.com/","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/production/podcast_uploaded/567608/567608-1593736387795-5897b4f790597.jpg","author":"Felipe Flores","episode_count":266,"summary":"Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world","last_synced_at":null,"page_url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy"},"episode":{"title":"#234: Innovating with Data in Healthcare: Part Two","slug":"234-innovating-with-data-in-healthcare-part-two","published_at":"2023-05-31T03:29:33+00:00","page_url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy/234-innovating-with-data-in-healthcare-part-two","show_page_url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy","url":"https://podcasters.spotify.com/pod/show/datafuturology/episodes/234-Innovating-with-Data-in-Healthcare-Part-Two-e24v5t8","audio_url":"https://anchor.fm/s/3fab060/podcast/play/71325032/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2023-4-31%2F9678ed75-a702-8bb4-2907-4418027d018b.mp3","summary":"Felipe explores how Honeysuckle Health uses predictive modeling and behavioral science to drive preventative care. The discussion highlights the immense difficulty of coordinating data across fragmented healthcare stakeholders to improve patient outcomes.","meta_description":"Learn how Honeysuckle Health leverages AI and data engineering to connect GPs and insurers for better preventative healthcare outcomes.","key_points":["Main idea: Effective healthcare AI requires building tools that align the specific incentives of GPs, specialists, and insurers","Practical takeaway: Successful implementation relies on creating a two-way feedback loop between clinical practitioners and health insurers","Failure mode: Treating healthcare as a pure technology problem ignores the massive effort required for data creation and stakeholder alignment","Main idea: Predictive models are most effective when paired with behavioral science to motivate patient engagement","Practical takeaway: Use experience in high-security sectors like banking to implement robust information security and data standards in healthcare"],"chapters":[{"start_ms":250000,"title":"Transitioning to Purpose-Driven Data Science","summary":"Felipe discusses moving from financial services to healthcare to apply data science toward more positive human outcomes."},{"start_ms":450000,"title":"Building the Data Team","summary":"A look at the early days of joining Honeysuckle Health and scaling the analytics team."},{"start_ms":640000,"title":"Predictive Care and Behavioral Science","summary":"How personalized recommendations and behavioral science are used to drive preventative health interventions."},{"start_ms":1030000,"title":"Security and Data Standards","summary":"Applying rigorous information security and identification standards from the banking sector to healthcare data."},{"start_ms":1230000,"title":"Engaging the Healthcare Ecosystem","summary":"Strategies for building technology that caters to the specific needs of GPs and family doctors."},{"start_ms":1420000,"title":"The Power Behind the Startup","summary":"Discussing the financial, technological, and IP resources supporting Honeysuckle Health's long-term strategy."},{"start_ms":2400000,"title":"The Data Creation Challenge","summary":"Why data science in healthcare is more about organizational alignment and data creation than just algorithmic modeling."}],"topics":["Healthcare Analytics","Predictive Modeling","Data Engineering","Preventative Medicine","Behavioral Science","Health Informatics","Stakeholder Management","Digital Transformation"],"duration_seconds":2595,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/data-futurology-leadership-and-strategy/episodes/234-innovating-with-data-in-healthcare-part-two/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy/234-innovating-with-data-in-healthcare-part-two.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}