490 - AI-Powered Monitoring: Predicting Health Issues and Enhancing Patient Care Remotely
In this episode of Talking HealthTech, recorded at HLTH Inc. 2024 in Las Vegas, Serge Lauriou from My Medic Watch explores the evolving interplay between healthcare and technology.
The conversation explores the development of smartwatch algorithms designed for seizure detection, fall detection and cardiac monitoring, the incorporation of artificial intelligence and machine learning, and the crucial transition from consumer-focused to business-to-business models in healthtech.
Embracing Innovation in HealthTech
The healthcare industry is profoundly transforming by integrating advanced technologies like AI and machine learning. Serge shares his journey and the innovative approach of My Medic Watch in harnessing these technologies to address global health challenges. By providing continuous data capture from commercial smartwatches, they can offer healthcare providers real-time support and predictive analytics.
Transition from Consumer to B2B
Historically, My Medic Watch marketed directly to consumers, who would download the app, install it on their smartwatches, and use it primarily for seizure and fall detection.
However, a shift toward a business-to-business (B2B) model is seen as essential for better-serving healthcare providers. The goal is to provide continuous vital sign monitoring and advanced AI analytics to healthcare organisations. This transition enables a more comprehensive approach to patient care by integrating critical health data directly into healthcare systems.
Data, AI, and Predictive Analytics
Data analytics has the potential to transform healthcare resource allocation and alleviate clinician burnout. It is a powerful tool for enhancing healthcare delivery, improving patient outcomes, and driving operational efficiency within the healthcare system.
Continuous data capture from smartwatches, combined with machine learning, enables the creation of personalised health profiles that can predict medical events before they occur. The goal is to prevent incidents, such as falls, by providing early warnings that allow for proactive intervention.
AI and Machine Learning Applications
Integrating AI and machine learning into healthtech solutions offers significant advantages in accuracy and efficiency. These technologies empower My Medic Watch to provide intelligent alerts and personalised health insights. With AI, healthcare providers can be alerted to irregularities, such as heart rate or activity level deviations, supporting a proactive approach that ensures timely medical interventions, potentially saving lives and optimising resource use.
Addressing Falls and Seizures
Falls and seizures present significant health risks, especially among the elderly and those with chronic conditions. My Medic Watch utilises complex algorithms to detect these events and immediately notify caregivers. The technology captures continuous data, including near-falls, which are critical indicators for predicting future events. Automatically detecting falls and seizures significantly enhances the safety and well-being of vulnerable populations.
Interoperability through Commercial Smartwatches
One of the key aspects of My Medic Watch's success lies in its use of commercial smartwatches rather than developing proprietary hardware. This simplifies the integration process, making advanced health monitoring accessible to a broader population. This strategy leverages existing technology to achieve scalable and efficient health monitoring solutions.
Collaborative Innovation in HealthTech
Collaboration between technologists, healthcare providers, and researchers is essential for advancing healthcare innovation. Through partnerships and collective efforts, the potential of digital health solutions can be fully realised.
Working together is critical to developing and implementing effective digital health solutions that enhance patient care and healthcare delivery. Such collaboration enables stakeholders to overcome barriers to innovation and create impactful healthtech solutions.
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The Importance of Global Conferences
Serge emphasises the value of attending health conferences such as HLTH 2024. These platforms provide critical opportunities for medtech companies to showcase their innovations and collaborate with industry leaders. Such gatherings facilitate the exchange of cutting-edge ideas and foster partnerships that drive technological advancements in healthcare.
Moving Towards a Preventive Healthcare Model
Tools like My Medic Watch can significantly reduce the burden on healthcare systems and improve patient outcomes by providing real-time monitoring and predictive analytics. We can predict and prevent medical issues with AI and continuous monitoring, ensuring better health outcomes and reducing healthcare costs.
The Future of Predictive Healthcare
Looking to the future, the goal is to advance AI-driven predictive analytics to anticipate medical issues before they arise. This innovation improves patient care and lowers healthcare costs by preventing hospital admissions related to falls or seizures.
The vision is for healthcare to become more preventive than reactive. Efforts are focused on refining AI to predict when medical visits may be needed, aiming to prevent emergencies—demonstrating the transformative potential of predictive analytics in healthcare.
Related Companies
My Medic Watch is a cutting-edge remote patient monitoring platform that offers multiple apps, including the Seizure Alert and Fall Alert apps, which can automatically detect medical episodes like falls and seizures.
Related Glossary Terms
What is machine learning? Machine learning is a field of artificial intelligence... View More
What is preventative health? Preventive healthcare refers to actions done to... View More
What is Artificial Intelligence (AI)? Artificial intelligence (AI) in healthcare... View More
What is Data & Analytics? Data is a set of individual facts, statistics,... View More
What is a Chronic Health Condition? A health condition that is persistently ongoing... View More
Nurse | Digital Health | Self-starting side-quests to challenge my growth | Mens Health (In-Progess⚠️) | “Embracing complicated simple solutions”
3wLavneet S., PhD - We were just talking about this! Great episode 💡