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Implementation of IoT in the Field of Health – Internet of Things (IoT) is everyone’s hot topic of conversation, and interestingly, it has touched on aspects of every field. In the fields of health, education, gaming, finance, etc., IoT has gained rapid popularity since the inception of the IT world. And then there is another giant in the middle. AI or Artificial Intelligence has unimaginable potential and has taken over everyday life. Combined with IoT, AI has taken over an important part of several processes, from creating data to processing and analysis.
CES 2018 bears witness to several companies with their groundbreaking innovations in the field of diagnosis, monitoring and treatment of diseases and surprising progress in cases of global disease, the delivery of health services, etc. AI assistants are talking with patients about their symptoms and provide useful insights to determine their health condition. This exceptional little helper frees up doctors’ time and helps more people get treatment on time. The most interesting fact is that these helpers are not aging, and are also tireless and mistakes are very, very minimal.
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Let’s discuss this in more detail. After all, this is truly an unparalleled innovation. The main objective of AI or technology in health care is to connect doctors and patients through smart devices, without restrictions. In fact, patients may be better off, helping doctors reach a better diagnosis faster. This leads to consumer empowerment, with practically no inefficiencies, and doctors always make decisions based on better connectivity, precision centered monitoring, and information gathering.
The implementation of IoT in the health sector has two very important goals:
a) Improved disease management that provides a better patient experience
b) Reducing health care costs so that they are affordable for wider demographics
For example, it is possible to record a patient’s movements, when he presses the call button, goes to the bathroom, touches the bed alarm, etc. Information relating to each activity is recorded by a device that evaluates the number of activities in which the patient needs help.
Machine learning data will be processed automatically and intelligently to find out whether the patient has improved or worsened health progress. This efficient communication process ensures that patients can avoid risks (or at least benefit from timely detection) and return home immediately. The IBM “Jeopardy!” – winning system, Watson, was a huge success several years ago when it helped oncologists determine the best way of treatment for cancer patients.
Retrieval of data in an intelligent way has helped patients diagnose rare diseases in patients, and has even helped doctors detect secondary diseases other than those of patients who have been treated.
Crunch presents interesting data on how IoHT is a major and trusted ally in the medical field. According to a recent study, the implementation of IoT in the health sector is predicted to grow from $ 41.22 billion in 2017 to $ 158.07 billion in 2022. This is a perfect example that illustrates how pharmaceutical products are being planned, manufactured, used, stored and consumed by the public .
Some areas where the implementation of IoT in the health sector can make a significant difference to the health services business are:
Production – Data insight is very important in the field of drug production. The production manager goes through more than 200 variables to ensure a product is safe and effective, ensuring homogeneity in medicine and drug manufacturing. Data is very important because it helps in solving problems faster and saves time and effort.
There is an increased use of sensors in the production area which allows data collection from various departments and factories. This means manufacturing activities can be monitored at any time from any location. This kind of real-time monitoring ensures that waste is minimized, equipment is properly utilized and production costs are reduced.
Quality – Companies are developing innovative practices to ensure drug quality without human intervention. Integrating manufacturing equipment with sensors enables continuous quality checks that save a lot of time and effort. IoT helps companies implement stringent quality control methods in the production of medicines and medical equipment, and it is already practiced in India and abroad.
Logistics Management – Sensitive medicines and medicines with very short shelf life can be protected through real-time container monitoring, and warnings are issued if unfavorable conditions occur.
Drug Development – The whole process of drug manufacturing has taken root in its accuracy, while relevant technology is used to maintain cheaper. This whole process can be optimized through an IoT-enabled system, including clinical trials where data tools are taken to report positive effects and highlight side effects. This insight helps better patient monitoring.
Collaboration – Researchers, stakeholders, regulators all have access to data available through IoT. This helps in better collaboration between all of them, and they no longer have to struggle through manual crosschecks (offline).
Better Patient Output – Patients and pharmaceutical companies can enjoy a number of short-term and long-term benefits. Medicines are brought to patients at lower prices, making them affordable for larger segments of the population. Better drug logistics management, patient monitoring, excellent supply and demand balance and quality monitoring are examples of all this.
There are four layers of the IoT Implementation scheme flow in the health sector.
1. Medical devices are connected and monitored – The integral layer in IoT is to introduce smart devices that are connected, which will monitor patient health, take readings, observe patterns and be alert when there are imperfections in patterns (indicative of impending illness or worsening of conditions). Patients can wear the device; he will be connected to a device that can monitor the status and vitality of the patient. Can monitor patients at risk remotely, and even make decisions and prevent travel to the emergency room.
2. Multi-service gateway for IoT applications with remote management and wireless connectivity – This helps onboard processing, data aggregation, and perfect data transfer for M2M (machine to machine) solutions. Both web and mobile applications are developed to meet the needs of hospitals including doctors, laboratories and other services, and patients. Existing network technologies may need to be refined and improved to accommodate secure payment solutions. And this is a big help in monitoring patient data too, where routers collect data, and then upload it to a central repository dedicated to data collection.
3. M2M integration platform – Forbes believes that M2M is one of the fastest growing types of connected device technology currently on the market. Presumably, being able to use sensors to communicate, which means the system can monitor themselves while automatically responding to changes in the environment. Human involvement is far less. And this will be very helpful when patient communication is needed.
Implementing IoT in the health sector through the M2M integration platform, companies can launch a new generation of services dealing with consumers in wearable devices and patient monitoring. The platform can collect patient-specific data, carry and analyze it in the lab, and can react faster than a medical professional. For example, if the patient’s vital signs decrease, devices connected to the cloud (private or public) can manage oxygen and provide additional care until the health doctor arrives at the scene. Through M2M technology, patients don’t even have to be in the hospital to receive this kind of treatment. That can be done when the patient is at home.
4. Reminders / warnings, generate reports – Through the M2M integration platform, data collected, stored in the cloud will be analyzed and checked for patterns. If a patient has a doctor’s appointment on a certain day, the wearable device (worn by the patient) will remind him, send notifications and reminders. It’s the same with medicine too. Patients do not have to remember to take their medication anymore. Leave everything to the wearable device, and it will remind the patient to take the medicine through reminders and warnings. Fitness tracking, social network connectivity, health monitoring are just a few of the benefits enjoyed through the M2M integration platform.
Artificial intelligence has facilitated this change, taking a few steps forward by personalizing it with a non-user interface system where users no longer need to type, but instead use voice or natural language to communicate with devices to activate their services.
Accenture Health has made research on this and produced an interesting prediction that by 2020, the estimated value of IoT solutions in the health sector could reach $ 163 billion. The combined growth rate for 2015 to 2020 will be 38.1%. This research is based on current demand for IoHT solutions and taking into account future trends.
Here is the IoT application with AI that is waiting in the health care industry.
1. Consumer / Home Monitoring – Consumers can use IoHT devices to check parameters such as blood pressure, blood glucose levels, heart rate measures, and any spikes or changes in normal levels will be identified and warned before becoming serious. This will help health care professionals to identify any problems or prevent the onset of any disease. This can be customized to the patient system while the sensor-mounted IoT device can check for variations in normal functions. Patient monitoring can be done remotely at home too. Most medical companies have invested in equipment that can detect and identify heart conditions such as congestive heart failure, and chronic respiratory conditions such as COPD, cancer, and asthma.
2. Brain Sensors / Neurotechnology – New electronic sensors are being installed in devices for monitoring brain activity. Neurotechnology is an innovative technique that uses electrical stimulation to understand the functioning of the nervous system and control it. It comes with technology that can improve and improve brain function, and enables medical professionals to visualize the brain. This can be in the form of a special headset with innovative software and a dry electroencephalographic (EEG) neuroimaging system and sensor to track the brain and send signals to connected and paired smart devices.
How about having a machine that responds to thoughts? Neurotechnology is one of the biggest innovations that humans have ever seen, where special software in headsets can interpret brain activity and turn it into commands. Through this technique, you can expect innovations in healthcare, surgery and remote patient care. The surgeon can control the robot arm for robotic surgery and perform the procedure correctly. Health professionals can steer a wheelchair just by “thinking” about it.
3. Fitness Wearable – Some companies release health bracelets and smart watches to track the health and activity of users, and information and data are exchanged between connected devices. And this can provide insights that should remain undetected until now. Medical professionals make decisions based on this data, and have succeeded in preventing trips to the ER, saving lives, recurring illnesses in various conditions etc.
However, the medical world must be directed to use data because they come in large volumes and are largely unstructured. They might need a big data analysis solution to collect it and make it compatible (easily see and document data).
4. Infant Monitoring – SIDS or Sudden Infant Death Syndrome is a serious cause of infant death. It is practically impossible for a human to be with a baby 24/7, so a wearable device that can track a child’s health is very important. There is a microcontroller-based hardware solution that is integrated with advanced sensors to check parameters such as heart rate, sleep position, respiratory rate, etc. This sensor can also notify parents or medical experts about upcoming illnesses and serious health conditions
5. Sleep Monitoring – Wearable devices that can track sleep patterns, total sleep time, wake up, sleep depth can really say a lot about one’s health. Data from parents sent to smart devices will warn relatives or health care professionals if and when something is out of place. This is because a sleep monitor can detect medical disorders and inform that the person needs timely treatment if a medical emergency is coming.
6. Clinical Biometric Sensors – Removing all doubts about whether wearable devices can provide accurate medical grade data, Clinical Biometric Sensors are now placed very high in the medical field. They can obtain highly accurate and personal data about a person’s health patterns in a periodic, episodic, continuous, and static physiological data flow through digital representation. This is a new world of non-invasive body monitoring solutions that can track sleep, heart rate, calorie intake, sleep quality, blood lactate and more. At-risk patients and people in emergency medicine can really benefit from this.