The ongoing pandemic has given a brutal reminder of how unprepared the world is against infectious diseases.
Implementation of IoMT applications has shown significant improvements in the outcomes of treatment. The medical fraternity will definitely be relying on advances and innovations in IoMT applications to improve the management of future pandemics and further enhancing the value of care.
Technological solutions have played a vital role during the Covid 19 pandemic.
IOT is one of the emerging technologies that can be used to avoid the spread of COVID 19 along with providing information and real-time monitoring.
IoT enables interconnected, digital and mechanical devices, possessing the capability of data transmission, to communicate over the defined networks with no human intervention and provide insights. It also helps amplify the patient experience.
IoT creates a neural network of sensors that provide real-time access to data.
IoT has proven extremely important during COVID for contact tracing, device integration to seamlessly transfer data for analytics and real-time patient. Further, it has facilitated access to real-time data across departments, agencies, and public health agencies allowing them to analyze datasets and provide an accurate assessment of the situation. IoT enabled wearable technologies have enabled the identification of COVID-19 cases thereby eliminating the spread, and reducing the impact of the pandemic. Given the increased demand for self-health or homecare, IoT was able to cater to increased demand and accelerated the push towards modern healthcare and patient care system.
Again, IoT is not new, having already penetrated a third of the healthcare industry by providing improved safety and security of hospital staff and patients. IoT allows sensors to track the location of patients real-time and inform medical staff, it delivers real-time access of patient information to their families in simple to analyze dashboards and ensures patients receive timely medication. It can help trigger alert mechanisms in emergency situations and ease the home monitoring of patients via connected blood pressure monitors, glucose monitors and other devices, which enables doctors and nurses to track patients more closely and provide personalized create new value for the healthcare industry. This aids in a better patient experience.
IoT applications provide a greater degree of support to high-risk individuals prone to complications and potential readmission.
The analytics and alerts patients receive via data captured by sensors facilitate increased engagement in overall healthy behaviour, even in the case of the elderly population enabling them to seek support proactively. By providing early detection and faster response times, medical emergencies are avoided thereby providing the elderly and their caregiver’s greater confidence. By improving patient-facing technologies and analytics, providers can identify when an individual deviates from his or her normal routine.
IoMT is an application of IoT for healthcare services.
This is a specific technology that helps in the interconnectivity of medical devices over a common network through which valuable patient information can be exchanged for better delivery of health care services to the patients. IoMT enabled applications rely on data collected through wearable medical devices to propose health advice and solutions.
The ongoing pandemic has given a brutal reminder of how unprepared the world is against infectious diseases.
The positive takeaway from this situation is the powerful technologies we have like IoMT have become mainstream and can now help tackle medical challenges like remote patient monitoring, alternative care facilities, emergency recovery facilities and home care provision.
Implementation of IoMT applications has shown significant improvements in the outcomes of treatment. The medical fraternity will definitely be relying on advances and innovations in IoMT applications to improve the management of future pandemics and further enhancing the value of care.
Big Data, AI & RPA amplifying patient experience. Read on.
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