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#97, Preventing Adverse Drug Events at Scale, with Avishai Ben-Tovim from MDI Health

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内容由AWS Startups提供。所有播客内容(包括剧集、图形和播客描述)均由 AWS Startups 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Medication-related problems are a massive burden on healthcare systems, leading to adverse events, suboptimal treatments, and skyrocketing costs. MDI Health has developed an AI-driven pharmacology platform that autonomously optimizes personal medication regimens by analyzing thousands of pharmacological and patient parameters. Joining us today is Avishai Ben-Tovim, CEO and Co-Founder of MDI Health, to share how their powerful AI identifies high-risk patients, provides clinicians with evidence-based recommendations to reduce risks in real-time, and helps payers and providers execute those recommendations - ultimately reducing total care costs while improving quality.

  1. What is MDI Health's approach to Medication Therapy Mastery?
    • MDI Health's AI platform analyzes thousands of pharmacological and patient parameters to optimize medication regimens across populations. It identifies high-risk patients for adverse drug events and provides real-time recommendations to reduce risks and lower care costs.
  2. How did MDI Health overcome barriers in the healthcare industry?
    • Avishai discusses how MDI Health conducted clinical studies, secured early customers through resourcefulness, and provided clinical validation to convince chief medical officers of their value proposition.
  3. What is the concept of a Collaborative AI Co-Pilot?
    • MDI Health's evidence-based algorithm maps pharmacological rules, trained by comparing to expert analysis on real cases. It complements existing systems by surfacing insights and suggested actions clinicians often miss.
  4. How does MDI Health aim to align healthcare incentives?
    • Avishai aims to enable data exchange and aligned incentives between health plans and providers. MDI Health's solution improves efficiency and holistic patient care impact for all stakeholders.
  5. What is MDI Health's approach to building a mission-driven culture?
    • From the start, MDI Health prioritized building a strong organizational culture focused on the mission. They foster ownership, openness, learning, and retaining employees who deeply care.
  6. How does MDI Health educate the market on their solution?
    • MDI Health leverages conferences, relationships, and continuous improvement to educate the market on their proven AI technology and value proposition for medication optimization.

Learn more about MDI Health here to understand how their AI-driven pharmacology platform can optimize medication regimens and reduce healthcare costs.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

  continue reading

108集单集

Artwork
icon分享
 
Manage episode 432889779 series 3291628
内容由AWS Startups提供。所有播客内容(包括剧集、图形和播客描述)均由 AWS Startups 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Medication-related problems are a massive burden on healthcare systems, leading to adverse events, suboptimal treatments, and skyrocketing costs. MDI Health has developed an AI-driven pharmacology platform that autonomously optimizes personal medication regimens by analyzing thousands of pharmacological and patient parameters. Joining us today is Avishai Ben-Tovim, CEO and Co-Founder of MDI Health, to share how their powerful AI identifies high-risk patients, provides clinicians with evidence-based recommendations to reduce risks in real-time, and helps payers and providers execute those recommendations - ultimately reducing total care costs while improving quality.

  1. What is MDI Health's approach to Medication Therapy Mastery?
    • MDI Health's AI platform analyzes thousands of pharmacological and patient parameters to optimize medication regimens across populations. It identifies high-risk patients for adverse drug events and provides real-time recommendations to reduce risks and lower care costs.
  2. How did MDI Health overcome barriers in the healthcare industry?
    • Avishai discusses how MDI Health conducted clinical studies, secured early customers through resourcefulness, and provided clinical validation to convince chief medical officers of their value proposition.
  3. What is the concept of a Collaborative AI Co-Pilot?
    • MDI Health's evidence-based algorithm maps pharmacological rules, trained by comparing to expert analysis on real cases. It complements existing systems by surfacing insights and suggested actions clinicians often miss.
  4. How does MDI Health aim to align healthcare incentives?
    • Avishai aims to enable data exchange and aligned incentives between health plans and providers. MDI Health's solution improves efficiency and holistic patient care impact for all stakeholders.
  5. What is MDI Health's approach to building a mission-driven culture?
    • From the start, MDI Health prioritized building a strong organizational culture focused on the mission. They foster ownership, openness, learning, and retaining employees who deeply care.
  6. How does MDI Health educate the market on their solution?
    • MDI Health leverages conferences, relationships, and continuous improvement to educate the market on their proven AI technology and value proposition for medication optimization.

Learn more about MDI Health here to understand how their AI-driven pharmacology platform can optimize medication regimens and reduce healthcare costs.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

  continue reading

108集单集

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