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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.

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.

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.

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.

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.

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.

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.

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.

More and more hospital environments rely on continuous, high-quality data to support faster clinical decisions, but much of today’s patient monitoring still varies widely by unit, device, and workflow. This episode kicks off a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring. Intel’s Kaeli Tully, Solutions Engineer for Healthcare and Life Sciences, and Dr. Sanjay Subramanian, Critical Care Physician and CEO/Founder of Omnicure, speak with Michelle Dawn Mooney about what patient monitoring looks like on the front lines and what it will take to spot decline earlier across the hospital. Dr. Subramanian frames monitoring as a continuum across care intensity, noting that “hospitals are sort of and have always existed in two segments… the low-intensity segment and the high-intensity, which is the intensive care units.” While most patients receive some level of vital signs monitoring, he explains that “the frequency with which that happens is highly variable,” even though deterioration can occur without warning. In his view, “all patients deserve probably continuous monitoring,” but the barrier is often cost and operational feasibility. The conversation also highlights why monitoring matters most outside the ICU, especially when hospitals face crowding and staffing gaps. Dr. Subramanian emphasizes that critical care is strained by workforce realities, sharing that “most, I would say 80% of ICUs in the country, don’t have dedicated 24-7 staffing by board-certified intensive care physicians,” which accelerates interest in telecritical care and tele-ICU models. He describes how “ICU without walls” expands critical care beyond a fixed unit, recognizing that patients “deteriorate on the floors… in the emergency rooms, the operating theaters, and the PACUs.” The goal becomes extending expertise and visibility wherever patients are. From an infrastructure perspective, the episode digs into the challenge of heterogeneous device ecosystems and inconsistent access to data streams. Dr. Subramanian notes that “it becomes easier if the technology stack is homogenous,” but many hospitals have “multiple devices of different ages” and cannot “reliably access the data from them.” Looking forward, he identifies a clear priority: “We need to solve for getting access to data reliably, continuously, and that’s high fidelity at scale,” and pair it with “the appropriate workflows to make that data actionable.” Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Internet of Things Group.

More and more hospital environments rely on continuous, high-quality data to support faster clinical decisions, but much of today’s patient monitoring still varies widely by unit, device, and workflow. This episode kicks off a five-part Health and Life Sciences at the Edge series exploring The Future of Patient Monitoring. Intel’s Kaeli Tully, Solutions Engineer for Healthcare and Life Sciences, and Dr. Sanjay Subramanian, Critical Care Physician and CEO/Founder of Omnicure, speak with Michelle Dawn Mooney about what patient monitoring looks like on the front lines and what it will take to spot decline earlier across the hospital. Dr. Subramanian frames monitoring as a continuum across care intensity, noting that “hospitals are sort of and have always existed in two segments… the low-intensity segment and the high-intensity, which is the intensive care units.” While most patients receive some level of vital signs monitoring, he explains that “the frequency with which that happens is highly variable,” even though deterioration can occur without warning. In his view, “all patients deserve probably continuous monitoring,” but the barrier is often cost and operational feasibility. The conversation also highlights why monitoring matters most outside the ICU, especially when hospitals face crowding and staffing gaps. Dr. Subramanian emphasizes that critical care is strained by workforce realities, sharing that “most, I would say 80% of ICUs in the country, don’t have dedicated 24-7 staffing by board-certified intensive care physicians,” which accelerates interest in telecritical care and tele-ICU models. He describes how “ICU without walls” expands critical care beyond a fixed unit, recognizing that patients “deteriorate on the floors… in the emergency rooms, the operating theaters, and the PACUs.” The goal becomes extending expertise and visibility wherever patients are. From an infrastructure perspective, the episode digs into the challenge of heterogeneous device ecosystems and inconsistent access to data streams. Dr. Subramanian notes that “it becomes easier if the technology stack is homogenous,” but many hospitals have “multiple devices of different ages” and cannot “reliably access the data from them.” Looking forward, he identifies a clear priority: “We need to solve for getting access to data reliably, continuously, and that’s high fidelity at scale,” and pair it with “the appropriate workflows to make that data actionable.” Subscribe to this channel on Apple Podcasts and Spotify to hear more from the Intel Internet of Things Group.

The rising cost of health care has hit Americans differently depending on their economic status. There is no shortage of news stories covering the reality of  those with higher incomes having higher life expectancies than those in lower financial brackets. Healthcare services such as clinical diagnostic testing may be out of reach for those who could really use it. So what are some the things a company can do to make clinical diagnostic testing more accessible for everyone? How can an important medical test be affordable to all? On this episode of Health & Life Sciences at the Edge, host Michelle Dawn Mooney talks with Intel Head of Business Innovation and Life Science Specialist Blake Harlan and SiPhox Chief Product Officer Mike Dubrovsky about clinical diagnostic testing, the way it is used, and the way its use can be improved. “Clinical diagnostic testing is actually a major part of the [healthcare] system,” says Dubrovsky. “Seventy percent of all medical decisions require diagnostic tests. However, the way that it’s done now is very reactive, so the whole system is based on first the patient having symptoms and then they’re put through a series of tests to try to resolve the problem.” Harlan and Dubrovsky further mention how it’s easy for those in higher income brackets to get tested more often, as those types of tests cost much more than the ones for reactive patients who are presently experiencing symptoms. “The way the healthcare system works now is it’s really set up to, for the person, once they get sick, to deal with that” says Dubrovsky. He points out how the system is primarily designed to treat reactive care. “The problem is that there is a massive rise in healthcare costs, accompanied with actually a decrease in life expectancy, at least in America”, where six out of ten Americans have at least one chronic disease. In a country that spends so much on healthcare research, Harlan and Dubrovsky think the country needs to shift its thinking and policies when it comes to the health of its citizens. Learn more about network operations center solutions by connecting with Blake Harlan and Mike Dubrovsky on LinkedIn or visiting SiPhox or Intel Health and Life Sciences. Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Network and Edge Solutions Group.

The rising cost of health care has hit Americans differently depending on their economic status. There is no shortage of news stories covering the reality of  those with higher incomes having higher life expectancies than those in lower financial brackets. Healthcare services such as clinical diagnostic testing may be out of reach for those who could really use it. So what are some the things a company can do to make clinical diagnostic testing more accessible for everyone? How can an important medical test be affordable to all? On this episode of Health & Life Sciences at the Edge, host Michelle Dawn Mooney talks with Intel Head of Business Innovation and Life Science Specialist Blake Harlan and SiPhox Chief Product Officer Mike Dubrovsky about clinical diagnostic testing, the way it is used, and the way its use can be improved. “Clinical diagnostic testing is actually a major part of the [healthcare] system,” says Dubrovsky. “Seventy percent of all medical decisions require diagnostic tests. However, the way that it’s done now is very reactive, so the whole system is based on first the patient having symptoms and then they’re put through a series of tests to try to resolve the problem.” Harlan and Dubrovsky further mention how it’s easy for those in higher income brackets to get tested more often, as those types of tests cost much more than the ones for reactive patients who are presently experiencing symptoms. “The way the healthcare system works now is it’s really set up to, for the person, once they get sick, to deal with that” says Dubrovsky. He points out how the system is primarily designed to treat reactive care. “The problem is that there is a massive rise in healthcare costs, accompanied with actually a decrease in life expectancy, at least in America”, where six out of ten Americans have at least one chronic disease. In a country that spends so much on healthcare research, Harlan and Dubrovsky think the country needs to shift its thinking and policies when it comes to the health of its citizens. Learn more about network operations center solutions by connecting with Blake Harlan and Mike Dubrovsky on LinkedIn or visiting SiPhox or Intel Health and Life Sciences. Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Network and Edge Solutions Group.

The nucleus of a hospital is increasingly becoming its network operations center. If the system isn’t connected, communication breaks down. The evolution of network operations centers in healthcare and how to build an effective one drives the conversation on this episode of Health and Life Sciences at the Edge by Intel. Intel’s Global Head of Health solutions, Alex Flores hosts What You Do Matters’ National Director Todd Larson. Larson said, “Let’s take all of the high-level decision makers, starting with security, emergency management, our IT partners with intrusion & cyber, our cameras, and our surveillance, and then we can move into visitation, patient monitoring, and we continue to expand.” These network operations centers, when built correctly, allow multiple hospitals and facilities to interconnect and realize efficiencies and cost savings. While many organizations recognize the benefits of a network operation center, others aren’t always easily convinced. Larson says involving key stakeholders is essential for winning the day. “I always believe strongly in involving the people who need to be involved, getting the people who are part of the process involved early on so they’re part of the implementation. Bring nursing in; bring hospital operations in; bring any unit that you will involve into the NOC, and bring them in.” Utilizing a network operations center for coordinated care creates a positive patient and staff experience today. Larson says the future of network operations centers is wide open. “In the future, let’s discuss implementation from a trauma perspective. I’ve had my trauma surgeons say to me, why can’t I be in the ambulance? Why can’t I be right there on scene? If you know anything about paramedics, they work under a medical director’s license. So, why is it that we can’t think about a future where the NOC gets that call? Now the patient is in the ambulance, that information is being fed to the patient transport and transfer center as part of the NOC. They are already entering the patient in; the patient’s enroute. Could the surgeon be in the ambulance on some telemedicine platform, assisting and directing that care? It could truly be something lifesaving where seconds can save a life.” Technology innovations will play a central role in transforming network operations centers. And Larson believes leveraging augmented AI is critical to that success. “We have to start utilizing AI, whether through our cameras, software platforms, or maybe we have to build some of this. But ultimately, utilizing AI saves clinicians time because a lot of what they do is task-driven, and if we can take some of those tasks out of their daily function, they can truly care for the patient.” For its part, Intel spends a lot of time working with ecosystems on optimizing different algorithms and getting them to work appropriately to augment the clinician’s duties. Learn more about network operations center solutions by connecting with Todd Larson and Alex Flores on LinkedIn or visiting What You Do Matters (WYDM) Institute or Intel Health and Life Sciences. Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Network and Edge Solutions Group.

Open-Source software’s flexibility through its distribution with the source code gives programmers the power to modify and distribute with its original rights. That versatility allows many technological innovations within the Health and Life Science space. Intel partners with Health and Life Science organizations on a wide range of solutions, and open-source is critical to bringing new advancements to life.  Health and Life Science at the Edge’s Morgan Andersen welcomed Intel Product Manager Amy Gilliam and Director of Security Communications Christopher Robinson for a discussion on open-source, everything from what it is, what the culture is like, and managing the quality of the code. Gilliam says the culture around open source has grown to become a collaborative environment that’s enhanced over the years. Open exchange, de-centralized coding collaboration and peer review are all norms that move open source in a positive direction. “Peer review is a huge part of the open-source development process, in which developers submit code, it gets reviewed by multiple team members and project members before it gets integrated into the main code base by the maintainer,” Gilliam adds.  From Robinson’s perspective, open source thrives because of the collaboration community. “I’ve been doing security in upstream open source for just under a decade, and I get to work with people from all around the world. We used to have a concept frequently talked about; it was called meritocracy; whereas you were contributing to these communities, people would put forth other ideas, and normally the best idea will win out. After much review and conversation, you’ll generally have better quality code because you’ve had all these different types of inputs.”  So, how does security factor into open source when privacy is critical to a lot of work done in the health and life science world? Some essential regulations and rules govern the industry to protect human life. Gilliam says technology developers must familiarize themselves with these regulations and ensure the flexibility and capability to meet those compliance requirements now and in the future.  “The FDA requires disclosures of software submission,” Gilliam said. “So, along with those disclosures of software, are usually calling out of risks and mitigations. Those can be cybersecurity risks, privacy risks, etc. We’re monitoring for that as we’re building software and these analytical tools that will help leverage and accelerate processes in the pharmaceutical industry.”  Learn more about Open Source solutions by connecting with Amy Gilliam and Christopher Robinson on LinkedIn or visit Intel Health and Life Sciences. Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Network and Edge Solutions Group.

Next-generation digital workflows are at the forefront of advancing how clinicians deliver healthcare. Intel partners with custom EMR workflow providers such as SaVia Health to improve those solutions and make new ones possible. Intel Head of Global Health Solutions Alex Flores recently sat down with SaVia Health CEO and Chairman William Caldwell to pull back the curtain for a revealing look at what’s driving the opportunity to create the next generation of digital workflows. Caldwell says redefining what healthcare technology looks like is an important starting point to improve healthcare outcomes for patients. “Many physicians and providers still associate technology with adding work to our workflow, not making it easier to take the best care of patients. Providers want to do the right thing, and what we’ve built in the United States, particularly around documentation, is a way to document and bill, but what we haven’t done a great job of is helping me, the doc, do the right thing to take care of the patient.” As Caldwell sees it, the challenge to improving patient outcomes is taking all the documentation, data, and analysis the healthcare technology already provides and creating a path from point A to point B. “If we can create something that fills that gap that not only tells us we’re doing something wrong, and only telling us how well we’re doing against a metric, but helps us go from point A to point B, that’s been the missing piece in healthcare.” Caldwell and SaVia Health focus on making clinicians’ lives easier through its custom digital workflow solutions. “We not only create the content, but we provide the content to the clinician, to the person taking care of the patient, in real-time, at the point of care,” Caldwell says. “We make it usable. So, we facilitate clinicians doing the right thing.” Changing patient behavior is an area Caldwell believes is essential to making a giant leap forward in improving outcomes and creating a better healthcare digital workflow, where asking the right questions can make a difference. “We need to put a process in place that can help physicians not only leverage the best practices and knowledge we all have, and the data we have, but also help us advise patients in a way that can change behavior and help them be compliant with recommended therapies. That’s a huge opportunity, going forward, in healthcare.” Connect with William Caldwell and Alex Flores on LinkedIn or visit Intel Healthcare and Life Sciences to learn more about next-generation digital healthcare workflows. Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Network and Edge Solutions Group.