A man was alerted by his Apple Watch that he had a heart condition: atrial fibrillation.
The main symptom of atrial fibrillation is a quivering heartbeat.
At least 2.7 million Americans have this heart condition.
Artificial intelligence steps into Remote Patient Monitoring (RPM) software to amplify its data processing capabilities and turn it into a viable tool that complements offline treatments.
Artificial intelligence supports efficiency in disease diagnosis, personalized treatments, and disease prevention to improve patient outcomes and make treatment proactive.
The remote patient monitoring market was valued at $1.9 billion in 2021, and is estimated to reach $8.5 billion by 2031, growing at a compound annual growth rate of 16.3% from 2022 to 2031.
Globally, the growing chronic disease population, combined with an geriatric population and increase in demand for home-based monitoring devices, is propelling the market growth. In addition, there is increase in tendency to opt for treatment from homes to save money on hospital fees.
The findings in this study suggest that accumulating more steps per day just under the popular threshold of 10,000 steps per day and performing steps at higher intensity may be associated with lower risk of dementia onset.
The study, which focused on at-home blood pressure monitoring programs, found that a program fusing health coaching with remote patient monitoring was able to lower blood pressure by anywhere from 53 to 85 percent, depending on the severity of condition at baseline.
The ability to monitor certain aspects of a patient's health from their own home has become an increasingly popular telehealth option. Remote patient monitoring lets providers manage acute and chronic conditions. And it cuts down on patients' travel costs and infection risk.
Remote patient monitoring with health coaching improved quality of life, self-management, daily physical activity, sleep and depression scores in patients with chronic obstructive pulmonary disease (COPD), according to new data published in Annals of the American Thoracic Society.
Half the population has at least one chronic disease. Care for these sick patients is costly. RPM has the potential to help.
It is estimated that 50% of the U.S. population has a chronic disease, and caring for them is consuming 86% of healthcare costs.
Shyam B. Paryani, MD, MD, MHA, FACRO, FACHE, discusses his upcoming study that investigates the impact of remotely monitoring people who are "well" and not yet "patients" with the hope of preventing illness. Remote monitoring takes a holistic view by integrating the mind-body connection, and uses telehealth interventions to stay in touch with patients.
While this technology will be useful for many areas of medicine, Dr Paryani hopes mental health clinicians will be able to gain a better understanding of their patients' sleep patterns, daily mood and anxiety levels, activity levels, and other aspects of health that impact mental health.
The most common signs of mental illness symptoms are loneliness or sadness, confusion or lack of concentration, excessive fears and worries, extreme feelings of guilt, withdrawal from friends and family members, fatigue, delusions or hallucinations, significant change in eating habits, extreme anger or violence, suicidal thoughts, and even physical pain such as stomach pain, back pain, headaches, or other unexplained aches and pains.
Many of these signs and symptoms can be detected and tracked by Remote Patient Monitoring. RPM uses sensors and wearable devices to measure patients’ physiological data. It then transmits these data to a cloud database, where providers may access the data anytime and anywhere. RPM allows providers to continuously and remotely monitor their patients and adjust their treatment plan, if needed.
A remote patient monitoring platform helped to improve outcomes for patients living with type 2 diabetes, according to a study out of the St. Joseph’s/Candler (SJ/C) health system in Savannah, Georgia.
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