Clinicians and patients can benefit from advanced remote vitals management technologies that provide more accurate, faster, and more convenient patient care. Some of the technology includes biometrics, telehealth, and mobile health applications.
Datos Health
The healthcare industry has seen a recent uptick in demand for telehealth services. Telehealth is an emerging technology that enables remote, on-demand, and high-quality healthcare delivery. It has proven to be particularly valuable in underserved regions or countries with limited access to specialists, according to the CEO at TapestryHealth, Mark Hirschhorn. In addition, it can reduce hospitalizations and costs.
Remote patient monitoring (RPM) devices allow doctors and patients to track activity and vitals without leaving their homes. RPM can be used for self-monitoring or in conjunction with a video-based consultation with a provider. Various telehealth companies provide RPM solutions, including VitalTech, AliveCor, Huma, Somatix, MC10, and Alive.
One of the best uses of a remote device is to provide timely and accurate clinical notifications. A company called Vesta Healthcare specializes in this. Their smartphone app offers a suite of health and wellness tools.
Bioform
Remote vitals management technology helps care teams monitor patients with chronic illnesses. It can reduce hospital readmissions and improve patient Health. It allows physicians to identify potential health concerns early and to intervene more easily.
With this in mind, it is no wonder that 88% of hospitals have invested in remote patient monitoring technologies. But traditional remote patient monitoring cannot address today’s patients’ needs. The industry needs to catch up to what patients and providers need. That’s why some health systems now use a mobile, AI-powered approach.
One of the most innovative companies working on remote vitals management is Biofourmis. The company provides digital therapeutics that wrap around existing pharmaceutical therapy to enable remote disease management. They also offer AI-based predictive analytics, which is personalized for each patient.
Telehealth-enabled tablets
The federal government has made many significant telemedicine policy changes in the last few weeks. These include easing up on regulations, strengthening telecommunications infrastructure, and broadening insurance coverage. As a result, telemedicine is beginning to become a more mainstream service.
Several health systems are now offering telehealth services in a variety of ways. They’re also working with payers in value-based care arrangements. Although it’s hard to predict the exact effect of these telemedicine policy changes, more patients may be able to access telehealth services.
The UPMC Health Plan, for example, covers 3.4 million members in Pennsylvania. Its virtual urgent care platform has recently seen a sharp increase in utilization.
COVID-19
A new study reveals that clinicians can leverage advanced remote vitals management technology to improve patient care. The UPMC Health Plan, for example, contracted with a telehealth vendor to monitor the health of its 3.4 million members. After 18 months, the plan saw a 71 percent reduction in the use of observation units.
Current health, meanwhile, provides an AI-enabled remote patient-management platform. The system captures a broad picture of human health, augmented with data from the Vivify ecosystem of devices. It also proactively alerts physicians to potential issues.
Datos, on the other hand, offers a remote care system that enables patients to remain at home.
Barriers to adoption
Telemedicine technology has become increasingly popular in the healthcare industry. It has reduced hospital admissions, emergency room visits, and readmissions. Many patients may be concerned about how to use this technology. There are a variety of solutions available to help.
The biometric wearable armband from Biofourmis monitors a patient’s blood oxygenation, heart rate, and temperature. It can be worn during a video telehealth call.
Another is the EarlySense sensor, which tracks multiple data points per second. The sensor also uses predictive analytics to alert care teams of clinical changes.
