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Unlocking AI's potential in home-based care with Naomi Goldapple
Manage episode 490618598 series 3615298
AI in home healthcare serves as a decision support system that helps professionals make better choices by analyzing data, surfacing key information, and providing suggestions while keeping final decisions in human hands.
• AI scribes can transcribe caregiver-client conversations and automatically populate required forms
• Digital assistants prepare caregivers for visits by providing quick client summaries and highlighting recent changes
• Predictive models identify patients at risk of adverse events, helping clinicians prioritize care
• AI tools must maintain the same security permissions as existing systems and comply with HIPAA regulations
• Explainable AI models help build clinician trust by showing why specific recommendations were made
• Voice technology represents the exciting future of AI in healthcare, moving from assistive to autonomous capabilities
Episode Resources:
- AI Resource Hub: https://alayacare.com/ai-resource-hub/
- Podcast: Agentic AI and the future of home-based care: Predictions for 2025 with Adrian Schauer
- Podcsat: Tackling home care staffing challenges with AI technology
- Toolkit: AI in home and community care: Your complete guide
If you liked this episode and want to learn more about all things home-based care, you can explore all our episodes at alayacare.com/homehealth360.
Chapters
1. AI as a Decision Support Tool (00:00:00)
2. Introduction to Naomi Goldapple (00:03:50)
3. AI Applications in Home Care (00:07:30)
4. Security, Privacy, and Compliance (00:10:42)
5. Ensuring AI Reliability and Accuracy (00:14:04)
6. Building Trust and Explainability (00:17:21)
7. In-House vs. Third-Party Solutions (00:22:07)
8. Future of AI in Home Care (00:24:03)
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