The Role of IoT and AI in Healthcare

The healthcare sector is undergoing a massive technological transformation. Two such trends taking over the world today are the Internet of Things (IoT) and Artificial Intelligence (AI). These technologies help doctors and nurses effectively care for patients. They are transforming the healthcare sector by making it smarter, more efficient and more affordable.

IoT helps devices access the internet and share data. Thus, doctors can monitor a patient's health without necessarily being in the same room. AI, on the other hand, allows machines to think and make decisions like humans. It can interpret medical images, predict diseases, and suggest treatments. Together, these tools are transcending the realms of possibilities and taking the healthcare sector to new heights. In this article, we will take a look at some examples of these tools.

IoT Devices in Healthcare

IoHT devices will revolutionize patient monitoring, disease tracking, and treatment improvement. These devices gather data and transmit it to doctors, who can make better medical care decisions.

Remote Monitoring

One of the very popular applications of IoT in healthcare is remote monitoring. Smart devices like smartwatches or sensors are attached to patients, and they track their vitals. The data is communicated remotely to the doctors in real-time. This helps doctors track their patients without hospitalization when they suffer from chronic illnesses such as heart disease and diabetes.

One good example is smart inhalers for asthma patients. They track how often a person uses their inhaler and remind them to take their medication. They also send data to doctors so they can adjust treatments if needed. Smart inhalers have been shown to improve asthma control by up to 70%.
Another example is IoT-enabled blood pressure monitors, such as Omron's Platinum BP5450. These monitors automatically send data to doctors, so patients do not need to visit clinics frequently. This helps people with high blood pressure get the care they need from home.
Smart pill dispensers are becoming more common. These devices remind patients when to take their medication and alert caregivers if a dose is missed. Studies have found that more than 50% of people forget to take medicine, and smart dispensers are helping to solve this problem.
Moreover, IoD also comes in handy in hospitals. The smart beds are used to monitor a patient's movement and adjust to make them feel more comfortable. They can even alert nurses if a patient needs assistance. Similarly, IoT usage is also deployed in tracking medical equipment in hospitals, ensuring that the correct device reaches the right place on time.

The IoT in healthcare is developing at a fast pace. It was valued at $72.5 billion in 2020 and is expected to reach $135 billion by 2029. More hospitals and clinics adopt IoT, making healthcare more efficient and accessible.

AI in Healthcare

AI, or Artificial intelligence, has been a hot topic recently due to its utility in various industries. The self-learning ability of AI makes it a valuable tool in the healthcare sector. Since it can learn from data by analyzing, it has the potential to be a game changer. The integration of AI into the health sector is still in the early stages, but what it brings to the table promises a bright future.

The medical sector is the most essential part of the health industry. Most of the diagnosis and disease prevention occurs via medicines. AI tools are capable of analyzing large amounts of data in a short time; this allows them to diagnose patients correctly. AI tools have been shown to detect early signs of cancers through reports. These programs have shown a staggering 99% accuracy rate, which is way higher than many trained professionals. Early detection would then give one a better chance of survival.
The AI will also help in the discovery of new drugs. Bringing new medicines to market is costly and time-consuming, requiring years of research. AI can speed up this process by analyzing large amounts of data to predict the diagnoses. This can cut costs by up to 70% by enabling faster access to life-changing treatments.
Predictive AI tools can also help reduce hospital admissions. These tools study patient data to predict health issues before they worsen. Recent studies have shown that a patient monitoring system with predictive AI can lower hospital visits by up to 50%.
Robotic surgeries can also benefit significantly from the use of AI. It assists doctors in performing precise procedures with lesser chances of error.
The second most exciting area in AI today is personalized medicine. AI can analyze health data to develop customized treatment plans for patients. It increases the treatments' effectiveness while reducing side effects.

Due to the uses mentioned above, AI integration in healthcare is rising. According to a report by research in 2024, 79% of healthcare organizations will be using AI in some form. A survey showed that 60% of people believe AI can improve healthcare by accurately diagnosing diseases.

Innovent: Bringing the Future of AI and IoT in Healthcare

Innovent brings IoT and AI technology to the healthcare industry in the UAE. Our smart devices are designed to meet the requirements of modern healthcare systems. With our services, we aim to transform the health sector in the Gulf. Integrating Innovative AI and IoT would result in a more connected healthcare system. Our tools will help doctors have instant information about patients, enabling them to make well-informed decisions faster. The more personalized the care patients receive, the better their health outcomes will be.

The global AI market in the health sector is expected to reach $188 billion by 2030. More than 90% of hospitals worldwide will adopt AI for diagnostics and patient monitoring. Thanks to Innovent, you can be at the forefront of this technological marvel. Not only will it benefit your institution, but it will also benefit the health industry as a whole.

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References

https://www.marketsandmarkets.com/PressReleases/iot-m2m.asp

https://radixweb.com/blog/ai-in-healthcare-statistics

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