Trend 1 : THE RISE OF AI In Healthcare

Healthcare trend : COVID-19 has significantly increased the utilization of telehealth resources. In April 2020, 43.5 percent of Medicare primary care visits were conducted via telehealth rather than in-person visits. One of the primary advantages of telehealth over in-person options is that it limits contact between patients, healthcare personnel, and other patients. Wearable gadgets provide healthcare staff with real-time data about patients while they are still at home.

More importantly, the expansion of telehealth is likely to continue even after the pandemic has passed. At the start of the pandemic, 71 percent of patients in the United States contemplated telemedicine, and 50 percent had already used virtual appointments. With telehealth already gaining popularity in the previous year, the pandemic provided a significant boost to the industry’s growth. This telehealth boom is expected to exceed $185.6 billion by 2026.

Integrating electronic health records (EHR) into your telemedicine app is critical. Patients and healthcare providers can now view patient medical records in the app. The software can use Interactive Voice Response (IVR) to convey communication to patients via digital voice. Integration with Google Fit and Apple HealthKit also provides important options for the app to access existing health information on a patient’s smartphone. Cloud-based server solutions are also required for all of the aforementioned procedures to perform properly.

When developing a telemedicine app, it is critical to determine what features it should include. Security, location services, appointment management, video/audio communication, secure messaging, healthcare provider reviews, visit history, and wireless testing via wearable integration are among the most critical aspects. These qualities, ranging from security to accessibility, are critical when assessing the requirements of a telemedicine software.

Trend #2: Artificial Intelligence Against COVID-19

In the fight against COVID-19, artificial intelligence plays a key role in areas such as pandemic detection, vaccine development, thermal screening, facial recognition with masks, and CT scan analysis.


Non-contact infrared thermometers and other types of thermal screening systems, according to the FDA, use a number of methods to assess the temperature of things such as persons. To identify persons with high temperatures, AI can quickly go through a large number of people at once. This can aid in the identification of symptomatic individuals.


Deep learning systems in facial recognition technology have advanced to the point where they can identify individuals wearing masks with up to 95% accuracy. Despite the fact that many people are wearing masks, facial recognition is unconcerned about whether or not they are using masks.

Trend 3: The Internet of Medical Things (IoMT) In Healthcare

For many patients and doctors, various devices and smartphone apps have come to play an important role in tracking and avoiding chronic illnesses. A new Internet of Medical Things (IoMT) has arisen by integrating IoT development with telemedicine and telehealth technology. This method makes use of a variety of wearables, including ECG and EKG monitors. Many other typical medical measurements, such as skin temperature, glucose level, and blood pressure readings, can also be taken.

Trend #4: Privacy Issues

Privacy is a critical concern in health technology, particularly with reference to HIPAA compliance in 2020. Although cloud computing can make data storage and retrieval more effective, laws to secure Protected Health Information (ePHI) are stringent, and compliance can be difficult.

Trend 5: AR/VR/MR in Healthcare

Virtual and augmented reality are both essential technologies that have the potential to improve telehealth quality during the COVID-19 pandemic. This technology is transforming science fiction into reality, from improving patient and provider interactions to assisting medical students in process simulations.

AR and VR technology have great potential for assisting stroke victims in overcoming motor deficits. To assist these patients regain motor control, they must be placed in a stable setting. Simulated environments, on the other hand, afford more versatility than physical treatment. These controlled simulations can be used to collect data that will assist therapists in customising care programmes for their patients.

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