Ways Big Data Is Advancing Telemedicine

We are swiftly heading towards the era where every action attributed to wellbeing is somehow performed through the means of technologies that have diversified applications. And with this paradigm shift in almost every segment brings some new methods to make things work more precisely. We humans have always been in chase of our basic needs, though, those needs after a regular interval have been upgraded, but the basic remains to the base. In this whole chaos of revolution, the segment that has vastly evolved is healthcare. Out of which, an interactive way of diagnosis or consultation of a patient through the digital medium has been proved to be most effective and efficient.

Yes, it’s telemedicine we are talking about. And it has paved a reliable path towards a well-organized framework for medical services. The whole picture of telemedicine is a well-designed integration of various supplementary hardware equipment in-sync with network and data feed. Big data is one of the decisive factors of the overall functioning of telemedicine, and guess what it has provided above expectation support in the whole process.

Here are some pointers attributed to big data making telemedicine more functional

Better diagnosing ability

The new system can scan thousands of data points of each patient to diagnose the disease and find treatment options right away. The previous systems were time-consuming and also delayed the diagnosing process for days or weeks with low accuracy. Using big data, doctors and nurses can offer customized treatment options, backed by ongoing research and statistics. Moreover, the rollout of chatbots was a historic move by the techies, through which, patient’s small query about his health can be resolved on chats. Chatbots are programmed with deep algorithms and data fetched from various relative instances. The magical combination of big data and telemedicine and its counterparts is turning out to be the game changer for the healthcare startups. Chatbots aren’t exactly part of telemedicine but can be anticipated as a breakthrough for future healthcare support.

Ease in surgical and procedural management

There have been a large number of cases where the telemedicine become the life savior for patients with complicated medical histories. Some of the examples are the reports published on the use of synchronized digital video and digital technology to facilitate the periprocedural management of liver diseases. One case report emphasized a victorious example of a teleproctoring, led by a gastroenterologist using basic video technology, to allow a surgeon to execute sclerotherapy for hemostasis in the context of variceal bleeding. Moreover, a memorable case reported the smartphone images transmission from surgical trainees to an attending physician to make an instantaneous decision in terms of doubtful liver procurement. The last case is an epic example, as the decision was taken around 545 km away from the university hospital.

Innovation leads to convenience

In the current phase, every development is made considering the surveys or polls of the people around the globe. As it is quite obvious, the problem or a concern motivates enthusiasts to come up with an idea or solution to eliminate it. And here big data starts playing its cards. Telemedicine might be a direct connection between caregivers and caretakers through digital devices, but somewhere in the process, there is always a need of looking back over the medical history, the current state of body, and various such pointers. Big data looks after every such parameter, stacks it in its database, and makes it accessible at the time of treatment.

Early tracking reduces cost

Telemedicine has an insightful effect on patient care, increases quality and access, and offers an opportunity to diminish healthcare costs. The data generated by high-tech devices allow synchronized monitoring of drug dosage, chronic diseases, and improve patient outcomes. Through continuous monitoring of vital body data and sensor data collection, health organizations can keep people away from the hospital as they can identify a possible health problem and provide care before the situation gets worse. The applicability of the phrase “Prevention is better than cure” gets actually proved here.

Coming on the current applicability scale of telemedicine and role of big data application along with it, it isn’t at its full utilization owing to funds and toolset limitations. Considering the data estimation provided by P&S Intelligence on the telemedicine market, it is expected to attain $48.8 Billion by 2023. Some of the key drivers responsible for the growth of the segment are the constant rise in smartphone adoption, government readily getting involved to onboard this technology, and growing awareness of preventive healthcare measures to avoid the escalating cost for healthcare.

Looking at the potential of the new technologies such as machine learning, AI, big data, virtual reality, there is no doubt that these technologies would turn the table for the entrepreneurs in terms of service delivery. However, integration of the technologies cannot be ignored, as doing so, would lead to loss of benefits, inefficiency, and costly process.