A complete platform, to fully monitor the entire human body, uses data to provide health care, prevention, and before you get sick. You are warned that LOT is definitely used in this platform  .

It will always talk to you about how to take care of your home medically, from post-operative care to preserving medication. In addition, around the world, many people in need of care may not receive physical access to medical care. Solutions to these problems may be with IoT in the form of remote patient care and simple communication. The challenges of a complete platform are often complemented by the following:

1. How can remote patient monitoring and remote health activate new healthcare models?
2. Operating Challenges of Patient Remote Monitoring / Remote Health and New Health Models That Activate Them .
3. Use machine learning to provide practical insights from patients at home
4. The importance of the patient's experience
5. Clinical / economic impact of RPM and remote health

User expectations may be included in the following questions :

1. How to remotely monitor a patient in your healthcare system?
2. What is the future of ML and its use for prevention, health care forecasting?
3. How do patients empower themselves to manage their health through remote patient monitoring and remote health?
4. Its potential / economic impact

Can you identify a few important trends that affect your IoT segment that shape the course of the industry? 
Every healthcare provider faces similar economic challenges: older and sicker populations, lower repayments, higher self-payment rates, and lower rates of collecting and introducing pay based on value rather than volume .

Providers are looking for ways to deliver health and care in a new way. The hospital becomes a quadruple facility, where patients stay for a short time before returning home. Most health and care is delivered on an outpatient basis and at a farther point. The intervention is actively performed, at the lowest cost and least acute time .

However, a key challenge is that when patients leave the hospital, it is very difficult to monitor their health. Patients cannot and will not know when they need to contact their doctor .

IoT devices connected to a complete platform are able to continuously, irregularly and passively monitor human health. The connection has reached a point where it can be deployed and expanded everywhere. Computing power and storage in the cloud have become cheaper, meaning that machine learning can be generated in real-time health data flow .

Doctors will not be reviewing the huge data set, but it is targeting practical insights that lead to previous interventions, living and saving lives, and improving health care .

What are the biggest challenges facing the IoT ? What are some important tools to overcome them?
First, the population in healthcare who can benefit from IoT and more technology are, for example, those with the most difficult access (Medicare). The prevalence of the Internet and home files in this population is low. This is a major challenge for IoT . However, with the prevalence of  4 G  and currently  5G   input, we can solve some of these problems and help provide health care to these populations .

Second, health care is very complex. You can build a great deal of technology, but the harder challenge is to make the patient's experience amazing and make sure it works in practice. Workflow needs must be considered from the outset. Approaching target users, interpreting yourself as a healthcare practitioner is a great way to work in this area .

Source: mmaviot