Health and Life Sciences at the Edge

Intel

Modern challenges. Future solutions. Brought to you by the Intel Network and Edge Solutions Group.

  1. 12/30/2025

    What the Future Looks Like if We Get It Right

    As the Patient Monitoring series concludes, the conversation shifts from today’s challenges to tomorrow’s possibilities. This final episode of the five-part Health and Life Sciences at the Edge series looks ahead to what healthcare could become if patient monitoring gets it right. Intel’s Kaeli Tully is joined by Sudha Yellapantula, Senior Researcher at Medical Informatics Corp., with a special appearance from Bikram Day, Director of Informatics at Medical Informatics Corp., to explore bold predictions, personalized care, and the safeguards needed to responsibly build the future of healthcare. Yellapantula grounds the conversation in real-world innovation, sharing projects that use physiological data to predict cardiac arrest, compare CPR techniques, and detect critical events through signal analysis alone. These experiences shape her vision for the future, where predictive analytics are deeply personalized. “All our predictive analytics should be personalized to us,” she explains. “Your history, your genetics, your past surgeries—really fine-tuning your model to you.” Looking toward 2050, the episode imagines a healthcare system that is proactive rather than reactive. Yellapantula envisions universal monitoring on hospital entry, where wearables immediately screen for major events like strokes or heart attacks, and monitoring intensity adapts based on patient acuity. “You’re customizing your monitoring and producing the best prediction to be sent to the correct people,” she says, emphasizing the need to surface only the most relevant, actionable alerts without overwhelming clinicians. The discussion also explores how clinician workflows could change. Instead of searching across fragmented systems, nurses and physicians would receive a comprehensive, centralized view of each patient’s physical, emotional, and psychological state. “Those logistical hassles should really be in the past,” Yellapantula notes. “We’ve gone to outer space. We can bring our healthcare system up to speed.” Day expands the vision further, pointing to advances in wearable technology, biomarker detection, and multimodal AI. He predicts that future wearables will not only collect data but process it intelligently, flagging early warning signs and guiding patients toward timely intervention. “The cost to intervene is going to go down,” he says, making proactive care more accessible and equitable. But with opportunity comes responsibility. One of the episode’s most critical lessons centers on data integrity. Yellapantula warns that poorly managed training data can undermine even the best AI models. “To build a good predictive model, you need good quality data and good quality labels,” she explains, urging the industry to address data contamination now before it becomes a limiting factor. The episode closes with a clear takeaway: if patient monitoring succeeds, it enables earlier detection, smarter decisions, and more personalized care. “We’re able to have very actionable alerts where we really have the greatest impact on patient outcomes,” Yellapantula says. It’s a future built not just on better technology, but on better choices, collaboration, and trust. Subscribe on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group and continue exploring what the future of care can become if we get it right. Connect with the thought leaders driving this discussion: Kaeli TullyDr. Sanjay SubramanianBikram DayAndrew LamkinSubscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

  2. 12/30/2025 ·  Video

    What the Future Looks Like if We Get It Right

    As the Patient Monitoring series concludes, the conversation shifts from today’s challenges to tomorrow’s possibilities. This final episode of the five-part Health and Life Sciences at the Edge series looks ahead to what healthcare could become if patient monitoring gets it right. Intel’s Kaeli Tully is joined by Sudha Yellapantula, Senior Researcher at Medical Informatics Corp., with a special appearance from Bikram Day, Director of Informatics at Medical Informatics Corp., to explore bold predictions, personalized care, and the safeguards needed to responsibly build the future of healthcare. Yellapantula grounds the conversation in real-world innovation, sharing projects that use physiological data to predict cardiac arrest, compare CPR techniques, and detect critical events through signal analysis alone. These experiences shape her vision for the future, where predictive analytics are deeply personalized. “All our predictive analytics should be personalized to us,” she explains. “Your history, your genetics, your past surgeries—really fine-tuning your model to you.” Looking toward 2050, the episode imagines a healthcare system that is proactive rather than reactive. Yellapantula envisions universal monitoring on hospital entry, where wearables immediately screen for major events like strokes or heart attacks, and monitoring intensity adapts based on patient acuity. “You’re customizing your monitoring and producing the best prediction to be sent to the correct people,” she says, emphasizing the need to surface only the most relevant, actionable alerts without overwhelming clinicians. The discussion also explores how clinician workflows could change. Instead of searching across fragmented systems, nurses and physicians would receive a comprehensive, centralized view of each patient’s physical, emotional, and psychological state. “Those logistical hassles should really be in the past,” Yellapantula notes. “We’ve gone to outer space. We can bring our healthcare system up to speed.” Day expands the vision further, pointing to advances in wearable technology, biomarker detection, and multimodal AI. He predicts that future wearables will not only collect data but process it intelligently, flagging early warning signs and guiding patients toward timely intervention. “The cost to intervene is going to go down,” he says, making proactive care more accessible and equitable. But with opportunity comes responsibility. One of the episode’s most critical lessons centers on data integrity. Yellapantula warns that poorly managed training data can undermine even the best AI models. “To build a good predictive model, you need good quality data and good quality labels,” she explains, urging the industry to address data contamination now before it becomes a limiting factor. The episode closes with a clear takeaway: if patient monitoring succeeds, it enables earlier detection, smarter decisions, and more personalized care. “We’re able to have very actionable alerts where we really have the greatest impact on patient outcomes,” Yellapantula says. It’s a future built not just on better technology, but on better choices, collaboration, and trust. Subscribe on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group and continue exploring what the future of care can become if we get it right. Connect with the thought leaders driving this discussion: Kaeli TullyDr. Sanjay SubramanianBikram DayAndrew LamkinSubscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

    What the Future Looks Like if We Get It Right

  3. 12/29/2025

    Why We Show Up for Care

    Episode 4 of The Future of Patient Monitoring takes a step back from infrastructure and innovation to explore something deeper: the people behind the technology—and what they’ve learned through years of building smarter systems. Part of the Health and Life Sciences at the Edge podcast series, this conversation is led by Intel’s Kaeli Tully, who’s joined by Dr. Sanjay Subramanian, Critical Care Physician and CEO/Founder of Omnicure, Bikram Day, Director of Informatics at Medical Informatics Corp., and Andrew Lamkin, Health and Life Sciences Solutions Architect at Intel. Each guest brings a unique origin story to the space. “As they say, this is that intersection of what’s great to do and what’s wanted by society,” says Day, who’s been connecting devices since childhood. Subramanian emphasizes the clinician’s lens, noting, “There’s always a need to make technology work best for clinicians… not all have the bandwidth or training to take that leap, but it’s impactful if you do.” Lamkin adds, “Healthcare is so much more challenging in so many ways than aerospace. It’s such a tough environment to introduce technology into thoughtfully.” The episode also dives into standout projects, like the National Emergency Critical Care Network (NET-CCN), which connected patients to critical care physicians nationwide during COVID-19 using only smartphones. From early EMR integrations to scalable AI applications, each guest shares what they’ve learned about moving from data to decisions. “Interoperability, modularity, infrastructure planning—all those things pay long-term dividends,” says Lamkin. Meanwhile, Day looks to what’s next: “If we can store and correlate data, those insights become valuable. AI can literally build the chain of events and causality.” Ultimately, the conversation is a powerful reminder that healthcare innovation is a human journey—and the smartest systems are the ones designed to support real people, every step of the way. Connect with the thought leaders driving this discussion: Kaeli TullyDr. Sanjay SubramanianBikram DayAndrew LamkinSubscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

  4. 12/23/2025 ·  Video

    Why We Show Up for Care

    Episode 4 of The Future of Patient Monitoring takes a step back from infrastructure and innovation to explore something deeper: the people behind the technology—and what they’ve learned through years of building smarter systems. Part of the Health and Life Sciences at the Edge podcast series, this conversation is led by Intel’s Kaeli Tully, who’s joined by Dr. Sanjay Subramanian, Critical Care Physician and CEO/Founder of Omnicure, Bikram Day, Director of Informatics at Medical Informatics Corp., and Andrew Lamkin, Health and Life Sciences Solutions Architect at Intel. Each guest brings a unique origin story to the space. “As they say, this is that intersection of what’s great to do and what’s wanted by society,” says Day, who’s been connecting devices since childhood. Subramanian emphasizes the clinician’s lens, noting, “There’s always a need to make technology work best for clinicians… not all have the bandwidth or training to take that leap, but it’s impactful if you do.” Lamkin adds, “Healthcare is so much more challenging in so many ways than aerospace. It’s such a tough environment to introduce technology into thoughtfully.” The episode also dives into standout projects, like the National Emergency Critical Care Network (NET-CCN), which connected patients to critical care physicians nationwide during COVID-19 using only smartphones. From early EMR integrations to scalable AI applications, each guest shares what they’ve learned about moving from data to decisions. “Interoperability, modularity, infrastructure planning—all those things pay long-term dividends,” says Lamkin. Meanwhile, Day looks to what’s next: “If we can store and correlate data, those insights become valuable. AI can literally build the chain of events and causality.” Ultimately, the conversation is a powerful reminder that healthcare innovation is a human journey—and the smartest systems are the ones designed to support real people, every step of the way. Connect with the thought leaders driving this discussion: Kaeli TullyDr. Sanjay SubramanianBikram DayAndrew LamkinSubscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

    Why We Show Up for Care

  5. 12/16/2025

    Expanding Monitoring in Acute Care and Beyond

    As hospitals look beyond the ICU to improve outcomes across the entire continuum of care, a key question emerges: how do you expand patient monitoring without overwhelming clinicians with more alarms, more noise, and more work? This episode—part three of a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring—dives into what it will take to make continuous monitoring practical, scalable, and clinically meaningful beyond critical care. Intel’s Andrew Lamkin, AI Solutions Architect, joins Sudha Yellapantula, Senior Researcher at Medical Informatics Corp., in conversation with Michelle Dawn Mooney to unpack how analytics, wearables, and wireless infrastructure are reshaping acute care and beyond. Yellapantula explains that today’s most advanced monitoring still lives almost exclusively in ICUs, while other hospital areas rely on infrequent spot checks. “If you go to areas where patients are generally more stable… they take a blood pressure once in eight hours,” she notes. That gap creates risk. “There are areas where you could benefit from having more continuous monitoring and you don’t. And then you miss something, and then it’s an emergency.” Expanding monitoring, however, introduces a new challenge: signal overload. Without intelligent filtering, continuous data everywhere quickly becomes noise. The conversation centers on how analytics must evolve alongside monitoring. “If you put continuous monitoring everywhere, it’s noise,” Yellapantula explains, emphasizing that clinician attention is finite. The goal is not more data, but better prioritization. Strong analytics help zero in on the patients who truly need attention, enabling earlier intervention without burning out care teams. “Clinicians… you can only overload and damage,” she says, reinforcing the need for predictive insights rather than reactive alarms. Lamkin and Yellapantula also explore what will actually move the needle. While wearables and wireless connectivity are essential, Yellapantula is clear that AI is the differentiator—if the data foundation is strong. “You cannot build AI without good data,” she says, pointing to the joint optimization of sensors, connectivity, and compute. Looking ahead, she envisions a future where AI offloads cognitive burden from clinicians, synthesizing patient history and signals into clear, actionable briefings. “The doctor’s focus should be more focused on the patient,” she explains, with technology accelerating insight rather than adding friction. As the episode closes, the focus turns toward what’s coming next—from predictive alerts to ambient data capture and clinician-ready dashboards. The message is clear: expanding monitoring isn’t just about placing more sensors. It’s about building intelligent systems that surface the right insight at the right time, helping care teams move from reactive response to proactive care. Subscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

  6. 12/16/2025 ·  Video

    Expanding Monitoring in Acute Care and Beyond

    As hospitals look beyond the ICU to improve outcomes across the entire continuum of care, a key question emerges: how do you expand patient monitoring without overwhelming clinicians with more alarms, more noise, and more work? This episode—part three of a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring—dives into what it will take to make continuous monitoring practical, scalable, and clinically meaningful beyond critical care. Intel’s Andrew Lamkin, AI Solutions Architect, joins Sudha Yellapantula, Senior Researcher at Medical Informatics Corp., in conversation with Michelle Dawn Mooney to unpack how analytics, wearables, and wireless infrastructure are reshaping acute care and beyond. Yellapantula explains that today’s most advanced monitoring still lives almost exclusively in ICUs, while other hospital areas rely on infrequent spot checks. “If you go to areas where patients are generally more stable… they take a blood pressure once in eight hours,” she notes. That gap creates risk. “There are areas where you could benefit from having more continuous monitoring and you don’t. And then you miss something, and then it’s an emergency.” Expanding monitoring, however, introduces a new challenge: signal overload. Without intelligent filtering, continuous data everywhere quickly becomes noise. The conversation centers on how analytics must evolve alongside monitoring. “If you put continuous monitoring everywhere, it’s noise,” Yellapantula explains, emphasizing that clinician attention is finite. The goal is not more data, but better prioritization. Strong analytics help zero in on the patients who truly need attention, enabling earlier intervention without burning out care teams. “Clinicians… you can only overload and damage,” she says, reinforcing the need for predictive insights rather than reactive alarms. Lamkin and Yellapantula also explore what will actually move the needle. While wearables and wireless connectivity are essential, Yellapantula is clear that AI is the differentiator—if the data foundation is strong. “You cannot build AI without good data,” she says, pointing to the joint optimization of sensors, connectivity, and compute. Looking ahead, she envisions a future where AI offloads cognitive burden from clinicians, synthesizing patient history and signals into clear, actionable briefings. “The doctor’s focus should be more focused on the patient,” she explains, with technology accelerating insight rather than adding friction. As the episode closes, the focus turns toward what’s coming next—from predictive alerts to ambient data capture and clinician-ready dashboards. The message is clear: expanding monitoring isn’t just about placing more sensors. It’s about building intelligent systems that surface the right insight at the right time, helping care teams move from reactive response to proactive care. Subscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

    Expanding Monitoring in Acute Care and Beyond

  7. 12/09/2025

    The Hidden Roadblocks to Smarter Hospitals

    As hospitals look to improve outcomes with faster, more informed decisions, infrastructure limitations remain a major hurdle. This episode—part two of a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring—dives into what’s holding back smarter, more connected care. Intel’s Andrew Lamkin, AI Solutions Architect, and Bikram Day, Director of Informatics at Medical Informatics Corp., join Michelle Dawn Mooney to unpack the technical and clinical roadblocks buried deep in hospital systems today. According to Day, the problem starts at the edge: “Most devices in the environment are not even connected. You end up with all that data going down a black hole.” Despite the availability of rich clinical data, fragmented device ecosystems and legacy workflows keep critical insights from reaching providers in time. Lamkin adds that while continuous monitoring has improved, infrastructure hasn’t kept pace with what’s possible: “Hospitals have networks and computing resources… we're not talking about something that’s too high throughput to even start the conversation.” The discussion emphasizes that many monitoring systems are still designed around outdated processes. “Almost all the infrastructure… has been there to replicate the manual charting,” Day explains. This manual-first mindset leads to hidden work for clinicians—connecting cables, hunting down data, and relying on telemetry stations that don’t scale. “We have way too many cables connecting things,” he says, but progress is happening with newer wireless sensors and shared protocols for devices like infusion pumps. What’s needed to break through? Interoperability, automation, and rethinking the role of metadata. “Who, where, and when—all those factors are critical,” Day stresses, especially when preparing data for AI. Looking ahead, he calls for a mindset shift: “Use the human bandwidth for what the human is really good at… let the machines do their thing, which is crunching a whole bunch of data.” Subscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

  8. 12/09/2025 ·  Video

    The Hidden Roadblocks to Smarter Hospitals

    As hospitals look to improve outcomes with faster, more informed decisions, infrastructure limitations remain a major hurdle. This episode—part two of a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring—dives into what’s holding back smarter, more connected care. Intel’s Andrew Lamkin, AI Solutions Architect, and Bikram Day, Director of Informatics at Medical Informatics Corp., join Michelle Dawn Mooney to unpack the technical and clinical roadblocks buried deep in hospital systems today. According to Day, the problem starts at the edge: “Most devices in the environment are not even connected. You end up with all that data going down a black hole.” Despite the availability of rich clinical data, fragmented device ecosystems and legacy workflows keep critical insights from reaching providers in time. Lamkin adds that while continuous monitoring has improved, infrastructure hasn’t kept pace with what’s possible: “Hospitals have networks and computing resources… we're not talking about something that’s too high throughput to even start the conversation.” The discussion emphasizes that many monitoring systems are still designed around outdated processes. “Almost all the infrastructure… has been there to replicate the manual charting,” Day explains. This manual-first mindset leads to hidden work for clinicians—connecting cables, hunting down data, and relying on telemetry stations that don’t scale. “We have way too many cables connecting things,” he says, but progress is happening with newer wireless sensors and shared protocols for devices like infusion pumps. What’s needed to break through? Interoperability, automation, and rethinking the role of metadata. “Who, where, and when—all those factors are critical,” Day stresses, especially when preparing data for AI. Looking ahead, he calls for a mindset shift: “Use the human bandwidth for what the human is really good at… let the machines do their thing, which is crunching a whole bunch of data.” Subscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

    The Hidden Roadblocks to Smarter Hospitals
See All (44)

About

Modern challenges. Future solutions. Brought to you by the Intel Network and Edge Solutions Group.

Information