AI can read an X-ray or medical imaging more precisely than a human doctor because it can learn quickly, efficiently, and process data.
Fremont, CA: AI-driven by healthcare’s extensive data along with user-specific data collected by IoT can allow enhanced predictive analytics, better outcomes, faster detection of illness, and significant patient self-awareness.
Here are three applications of AI and wearable devices in healthcare:
Motion devices and AI
Using AI to gather relevant data has enhanced understanding of patient behavior and emotion. When a patient’s behavior patterns and feelings register into the analytics mix, the results improve.
IoT provides a significant advantage, offering technologies like wearables to track patient activity in real-time, gather data, and serve as an early warning sign.
IoMT, the Internet of Medical Things, is centralized with a single infrastructure collecting data from all devices in the environment. Although distributed, the IoT network is under a single administrative model.
From Bluetooth blood pressure cuffs, fitness devices to automatic bedside devices that monitor the patient, hospital IoT covers an expansive space. Transmitting operational data from all patients and processes into machine learning systems also improve efficiencies and outcomes.
Patients adopting digital healthcare
The adoption of digital healthcare is more about cultural change than implementing new software, infrastructure, and methodology. Personal IoT and wearables are a leap forward to make this change, and most of these devices are simple and comfortable.