Ankur’s note: Hey there, and welcome back to Pioneers.

Multimodal automates 90% of middle-and-back office tasks across banking, insurance, and healthcare. “Pioneers” explores the opportunities for AI automation in those same industries. Subscribe to learn about the latest advancements here, every month:

Before we get into today’s deep-dive, check out a quick tweet thread from this week’s episode:

Last week, I sat down with Jayodita Sanghvi, the Senior Director of Data Science at Included Health to discuss how AI is enabling healthcare to become more individualized.

If you’re interested in staying on the cutting edge of how emerging technologies are impacting healthcare, this one is for you. Here’s a quick TLDR of the takeaways:

1. Personalized Healthcare Need: The healthcare industry is evolving, but still often fails to meet individual patient needs, leading to poor outcomes.

2. AI in Understanding Individual Needs: AI plays a crucial role in personalized healthcare by processing vast patient data to identify unique needs and care gaps.

3. AI as a Patient Guide: AI helps simplify patients' healthcare journey by reducing decision fatigue.

4. Empowering Patients with AI: AI-driven tools like chatbots and personalized educational content empower patients, enhancing their understanding and management of their health conditions.

5. AI’s Impact on Clinical Effectiveness: AI enhances clinical decision-making, leading to more accurate and effective patient care.

Individualized Healthcare in the Age of AI: Transforming Patient Experiences with Jayodita Sanghvi, Senior Director of Data Science at Included Health

In recent years, the healthcare industry has witnessed significant advancements in medical technology and treatment options. However, patients often find themselves navigating a complex, one-size-fits-all system that fails to address their unique needs and preferences. This lack of personalization can lead to suboptimal care, poor patient engagement, and ultimately, worse health outcomes.

Personalized healthcare holds the key to improving the patient experience and achieving better health outcomes. By tailoring care plans, educational resources, and support services to each individual's specific needs, healthcare providers can ensure that patients receive the most effective and engaging care possible.

AI has the potential to revolutionize healthcare by enabling hyper-personalized care tailored to each individual's unique needs. By leveraging vast amounts of patient data and advanced analytics, AI can help healthcare providers understand each patient's clinical and demographic characteristics, identify care gaps, and provide personalized recommendations for optimal health outcomes.

We sat down with Jayodita Sanghvi, Senior Director of Data Science at Included Health, to discuss this very topic.

Understanding Individual Needs: AI's Role in Data Analysis

Accurately understanding each patient's unique needs is one of the most significant challenges in delivering personalized healthcare. AI algorithms can process vast amounts of patient data from various sources, such as electronic health records, wearable devices, and patient-reported outcomes. By analyzing this data, AI can identify patterns and insights that may not be apparent to human clinicians, enabling early intervention and personalized treatment.

The global market for big data analytics in healthcare, which involves leveraging vast amounts of complex data generated from various sources, is projected to surpass $34 billion. This highlights the immense growth and value of data-driven insights in transforming the healthcare industry and improving patient outcomes.

AI is uniquely positioned to leverage this data for personalized care, as it can quickly and accurately process large datasets to identify relevant insights. AI-powered tools, such as predictive analytics platforms and clinical decision support systems, can analyze patient data to identify care gaps, predict risk factors, and recommend personalized interventions.

Jayodita Sanghvi, Senior Director of Data Science at Included Health, emphasizes AI's potential in understanding individual needs: "AI has the power to enable us to deeply understand each individual, what their clinical needs are, what their demographic needs are, if they have any care gaps."

By leveraging AI, healthcare providers can gain a comprehensive understanding of each patient's unique circumstances, enabling them to deliver more targeted and effective care.

AI can also help identify social determinants of health (SDOH), which are non-medical factors that influence health outcomes, such as income, education, and access to healthcare. A study published in the American Journal of Preventive Medicine found that addressing SDOH can lead to a 15-20% reduction in healthcare costs and improved health outcomes. By analyzing patient data alongside SDOH data, AI can help healthcare providers identify patients at risk of poor health outcomes and develop targeted interventions to address these factors.

We Had Less Than 2% Chance…

Plug and Play is a platform connecting startups with major corporations. For their Selection Days, they source 800+ startups - but end up accelerating only 10-15 of them.

So, every sourced startup has less than a 2% chance of getting selected for their full programs…

I’m happy to say that Multimodal is one of those startups.

We beat all odds and got selected for Plug and Play’s Fintech Batch 19 🎉

This will give us a chance to improve our understanding of enterprise clients, their automation problems, and how we can better serve them.

We promise to share these new, valuable insights with you soon. We’ll also leverage them to plan new episodes and make sure you get the right takeaways.

So, stay tuned - we’ll keep you in the loop!