In the era of technology, technical innovations have changed the way of life. In the healthcare sector, it has changed the way of treatment and care. After the launch of 5G technology in India in some selected cities, it is expected to be extremely beneficial for the healthcare sector. 5G will provide strong connectivity to develop the health ecosystem and change the face of the healthcare sector.
The increased speed, high bandwidth, and low latency of 5G allow high-resolution images and videos that increase the quality of virtual interaction. The 5G reduces the patient’s unnecessary visits to a hospital as well as beneficial for those who cannot be able to access hospitals or medical facilities easily. It allows patients to be treated remotely and assists doctors in performing it virtually from anywhere without any delays. Telemedicine is such enhanced connectivity that facilitates the patient to video chat with physicians from their homes.
In India, 73% of the population resides in rural areas. Telemedicine, along with 5G technology, connects rural or remote area people with specialist doctors and healthcare services.
The 5G network, boosted by the Internet of Things (IoT) and AI, helps to track and monitor the patient 24/7, whether with low blood sugar, heart attack, or vital signs that require proactive intervention. Moreover, 5G-ready ambulances are also coming soon in service. Bharti Airtel has a 5G-enabled ambulance that can provide primary health care services in emergency situations. The ambulance is equipped latest medical equipment, patient monitoring, and telemetry devices that transmit the patient health data to the hospital in real time.
The Apollo Hospitals has also launched a 5G-connected ambulance equipped with onboard cameras, camera-based headgear, and body cams for paramedical staff.
Most importantly, the 5G network connectivity provides high security, data privacy, and high-speed data transfer that protects the information or data between healthcare professionals and makes them reliable for sharing large data files consisting of medical imagery.