Kevin Agatstein shares his thoughts on the value of data in healthcare, and what more needs to be done to make it truly transform outcomes and quality.

For HIT Consultant, Agate Health AI's founder Kevin Agatstein shares how AI-enabled automation is streamlining the prescription renewal process—reducing administrative burden for clinicians while enhancing efficiency and improving patient outcomes.

Kevin Agatstein reflects on his healthcare entrepreneurial successes, failures, and everything in between over a casual lunch.

Any single electronic medical record (EMR) often only contains a fraction of the patient’s total health record. Hence, provider organizations are investing in data exchange. Such EMR interoperability, while having obvious benefits, makes already bloated patient charts that much thicker. Although not a panacea, AI can help aggregate, clean, and prioritize EMR data, thus making the promise of interoperability more attainable than ever. This holds great promise for care continui

Artificial intelligence (AI), particularly natural language processing (NLP), aids in summarizing patient charts. AI's portrayal in the popular press is notable, with articles both about and by AI models. Often depicted as a "black box," AI is described in monolithic terms as "the AI," "the model," or personified as Siri, Alexa, or ChatGPT. While this simplifies marketing, it obscures understanding of AI's functions, suitable solutions for specific tasks, and integration into

Many clinical and administrative workflows, including billing and coding, quality measurement, medical management, care management, prior authorization, and patient risk assessment, require various forms of chart review. AI holds the promise to not only reduce the burden on this costly process, but fundamentally transform the value of patient data.

In healthcare, "good" patient data—accurate, timely, accessible, and relevant—enables "good" care. However, delivering such data to the point-of-care is challenging due to fragmented medical records across different systems focused more on billing and liability mitigation than care delivery. Patient data is often a mix of structured EMR tables, medical claims, and free-text notes, usually organized chronologically, requiring clinicians to sift through EMRs for insights and ca

For MedHealth Review, Agate's founder Kevin Agatstein shares his view on the AI trends to watch in healthcare with a focus on text analytics.

Patient data needs to be searchable for software to meet the needs of those who review clinical charts. Leveraging clinical natural language understanding (cNLU) to rapidly structure clinical notes and make the entire medical record searchable holds the potential to free up massive labor pools for more valued tasks. Kevin Agatstein and Clinical AI Specialist Dimitri Linde cover how AI can make medical data searchable for HIT Consultant.

In recent years, Big Tech has gotten a bad rep. But of course many tech companies are doing important work making monumental positive changes to society, health, and the environment. To highlight these, we started a new interview series about “Technology Making An Important Positive Social Impact”. We are interviewing leaders of tech companies who are creating or have created a tech product that is helping to make a positive change in people’s lives or the environment. As a p

Across healthcare, clinical natural language processing continues to play an ever more influential role. Kreimeyer et al.’s “Natural language processing systems for capturing and standardizing unstructured clinical information” identified over 70 different CNLP systems in the literature, spanning multiple clinical domains. Unfortunately, few of these directly address the applicability of CNLP to care management. This lack of CNLP supporting care managers will and should chang

Despite several high-profile fits and starts, Artificial Intelligence (AI) represents one of the most promising technologies to improve population health. Last year, health executives identified AI as the most potentially disruptive technology to the industry. Goldman Sachs estimates that the technology can eliminate $28bn annually in payer and provider inefficiencies by 2025. Accenture is even more optimistic. Even if some of this hype is potentially excessive, AI will be a

Today there are 30M diabetics in the US, or 10% of the population. The disease costs $245B annually. 86% of diabetics do not meet the recommended targets for glycemic control, blood pressure, LDL cholesterol level, and tobacco use. With 79M Americans having pre-Diabetes the societal burden of this disease will only get worse. Today primary care physicians (PCPs) are delivering much of the diabetes care. Growing prevalence of diabetes will require PCPs to do even more, inclu