The Tech Talks Daily Podcast podcast

3047: The Future of Healthcare IT: Humanizing Data with AI at Notable Systems

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What if AI could transform the way healthcare documents are processed, reducing manual effort and increasing efficiency? In this episode of Tech Talks Daily, I’m joined by Steve Johnson, CEO of Notable Systems, to discuss how his company is harnessing the power of AI to revolutionize healthcare IT. We dive into how Notable Systems' AI-based platform is reshaping the way health data is input, accessed, and processed, helping to humanize and simplify healthcare workflows.


Steve explains how Notable Systems was founded with the goal of liberating human potential through automated document processing, taking tedious tasks like data entry out of the equation.

With AI-driven solutions, the platform is designed to enhance accuracy, reduce the time spent on documentation, and ultimately lead to happier patients and more efficient healthcare providers. By integrating machine learning, natural language processing, and custom algorithms, Notable Systems is tackling some of the most pressing challenges in healthcare administration.


The company recently secured $8.8 million in Series A funding, which will help them expand their team and further develop their capabilities to meet the growing demand for their services. Steve shares the journey behind Notable’s growth, the lessons learned from working with their early anchor customers, and their ambitious plans for the future.

From speeding up patient orders to reducing insurance claim denials, Notable Systems is at the forefront of changing how healthcare organizations operate.

We also explore the balance between AI and human oversight, as Steve reveals how Notable’s technology provides AI confidence levels to guide human review, ensuring accuracy while maintaining speed and efficiency. 

Where do you think AI will have the biggest impact in healthcare over the next few years? Could automated systems like Notable’s reshape the patient experience for the better? Share your thoughts, and let’s continue the conversation.

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