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MedTech Outlook | Friday, December 01, 2023
The providers prioritize making System Of Chips (SoCs) that can encrypt data and detect vulnerabilities while staying compatible with the IoT, especially for connected health devices, because they collect sensitive data, and there's the risk of a device getting hacked
Fremont, CA: Advances in Artificial Intelligence and Machine Learning (AI and ML) are improving medical research, diagnostic tools, and treatments so people can get more effective treatments. Healthcare can be stressful and expensive because of delays, long wait times, and high prices. IoT and connected health devices can help.
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Connected Health Devices
A connected health device measures physical and mental health using physiological indicators. Some of these devices use medical testing, while others are simple. AI and ML analyze data to give you health insights. Diabetes patients can track glucose with smart insulin pens, sleep tracking, track saliva, vibrate capsules for digestion, and wearable IoT patches.
Connected Health Devices: Benefits
Patients can manage chronic illnesses, recover from recovery periods, and age with more autonomy thanks to the Internet of Things (IoMT) and connected health devices. If you self-administer your medications, real-time data analysis helps you identify urgent health events, and automated dose calculations and drug delivery are great for peace of mind. A lot of the potential of IoMT lies in its convenience and low costs, which leads to better compliance, reduced financial stress and fewer resources for providers.
Connected Health Devices: Challenges
The use of connected health devices in formal healthcare settings is rare despite the potential benefits. Mass implementation is complicated because of three big challenges:
Privacy and Security
The providers prioritize making System Of Chips (SoCs) that can encrypt data and detect vulnerabilities while staying compatible with the IoT, especially for connected health devices, because they collect sensitive data, and there's the risk of a device getting hacked.
Regulatory Requirements
A connected health device's safety and reliability are rigorously tested and must pass. Devices for diagnosing, treating, or managing diseases need FDA approval. There are FDA requirements to protect consumers and healthcare providers, but they're long, expensive, and can delay device rollout, so they're a significant hurdle for the industry to overcome.
Scalability
Connected health devices require careful thinking about practicality, ethics, equity, and safety. Healthcare providers often hesitate to recommend these devices because they need to figure out hardware and software updates, patient information for informed consent, funding sources, and limitations of diagnostic and treatment tools.
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