: How AI-driven remote patient monitoring improves health #IndiaNEWS #Contributor Disease and illness disproportionately affect vulnerable people. The worlds population continues to age. Therefore,

How AI-driven remote patient monitoring improves health #IndiaNEWS #Contributor
Disease and illness disproportionately affect vulnerable people. The worlds population continues to age. Therefore, many people depend on care outside traditional healthcare settings.

A growing body of evidence suggests that remote patient monitoring (RPM) in particular can improve outcomes for sicker patients. It does so by ensuring consistent contact between a care provider and patient, which can lead to earlier medical intervention.

You can choose from a list of the best medical alert systems to help you get medical attention and help before it is too late. Vulnerable patients disproportionately lack access to affordable healthcare. For instance, people without health insurance may never receive care due to cost.

Even those that do have health insurance often find the out-of-pocket costs associated with healthcare prohibitive. Ultimately, this leads to medical debt and reduced well-being.

Using AI-driven remote healthcare monitoring

Remote patient monitoring (RPM) is a type of telehealth that involves sensors and monitors transmitting information about a patient. That way, clinicians or other care providers get to know their welfare without requiring the patient to visit a medical clinic. There is no doubt that RPM has the potential to improve the lives of people who cannot afford traditional healthcare.

Through RPM, clinicians have access to more information about patients’ well-being, enabling them to provide better care. Most importantly, this happens instantaneously to provide help immediately. This AI-driven remote healthcare monitoring:

Benefit patients that live far away from health facilitiesWorks to help clinicians monitor their patients healthSolves medical service challenges by providing help instantly

How does AI-driven monitoring care work?

AI-driven healthcare monitoring uses sensors that are attached to the body or wearable cameras that track patient activity. These systems monitor symptoms at home instead of making patients go into a healthcare facility every time they feel unwell. These tools allow patients to stay in their own homes without having to travel for hours just for a simple check-up.

This type of healthcare monitoring helps to alleviate chronic conditions among the sick through continuous care back at home. It is at the point of accessing this information where the doctor can decide whether to call the patient for a physical check-up or not.

What are the current use cases?

AI and machine learning improve patient-doctor communication by providing insights into a patients condition 24/7. This means patients would no longer have to call their doctor or come into an office right away when a disease symptom arises.