Remote Patient Home Monitoring

Remote Patient Monitoring in Primary Care

Remote patient home monitoring is a rapidly growing field in healthcare, especially with the aging population and the increasing prevalence of chronic diseases. With the help of AI in medicine, remote patient monitoring has become more accessible and effective than ever before. General practice clinics are now able to provide patients with home monitoring devices that can track their vital signs and other health metrics in real-time(1). This allows doctors to monitor their patients’ health more closely and intervene early if necessary.

One of the most significant benefits of patient home monitoring is that it allows patients to take control of their health. Patients can use these devices to monitor their blood pressure, blood sugar levels, heart rate, and other vital signs from the comfort of their own homes(1). This can help them identify potential health problems early on and take steps to prevent them from getting worse.

AI in Medicine

AI in medicine has also played a crucial role in patient home monitoring. Machine learning algorithms can analyze large amounts of data from these devices to identify patterns and trends that may indicate a potential health problem (1). This can help doctors intervene early and provide more personalized care to their patients.

Another benefit of remote patient home monitoring is that it can reduce healthcare costs. By detecting potential health problems early on, doctors can prevent costly hospitalizations and other medical interventions(1). Patients can also save money by avoiding unnecessary trips to the doctor’s office or emergency room.

At MyClinic365, we believe remote patient home monitoring is an essential tool for general practice clinics looking to provide better care for their patients. With the help of AI in medicine, remote patient monitoring has become more accessible and effective than ever before. By empowering patients to take control of their health and detecting potential health problems early on, we can improve patient outcomes and reduce healthcare costs.

MyClinic365 and LaCasa Partnership

So with that in mind, we’re delighted to be now working with La Casa, a spin-out company from UCD . La Casa uses AI and machine learning models to predict and prevent health issues escalating into crises.

MyClinic365 LaCasa Care

We’ve recently started a pilot with La Casa in primary care producing some promising results for both carers and patients. All linked to the MyClinic365 Patient Portal and the MyClinic365 Practice Management System. More to follow in due course.

1: Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time