AI in Telemedicine : Taking Health to the Next Level

By James Tredwell on October 27, 2020

The sudden pandemic dragged everyone to focus on their health and engage in regular exercises to boost up their immunity.

The lockdowns also promoted apps which worked for fitness, health and even education. The dependency on apps were increased during this time period and such apps are still in use.

O yeah! Let’s talk about Telemedicine apps which are the most popular apps among all the categories.

Ah.. Telemedicine what is it? Just an app which utilizes information and communication technologies to transfer medical data for providing required medical and clinical services.

Telemedicine is helping the individuals in many ways as it helps in providing treatments to the patients remotely.

Distance, time, cost and all other constraints have just vanished. Telemedicine apps are changing the pace of healthcare at a rapid rate.

Sounds good right? With the dynamic changes in technology, Telemedicine apps are the major need of an hour.

Telemedicine can collect data through various channels and with the help of several devices that function on IoT.

The contemporary trends in Telemedicine has been majorly revolving around two prominent factors and which are responsible for the changes:

  1. High volume demand, due to an increased difficulties faced by the patients, clinicians, data associated.
  2. Highly crucial applications where expertisation is necessary at some moments where there is a clinical demand.

No matter whatever the technology gets deployed to render healthcare services there will be some of the problems where physical appearance of the doctors will be needed.

Using Information and communication technology tools can be implemented to remit the issues of the insufficiency of supply to meet the demands.

Such problems can get completely eradicated when algorithms deployed are to be matched with the availability of physicians which are equipped with skills to meet the required skills which need immediate response.

Telemedicine includes several issues which are operational such as what if the telecommunication channel fails, or when the remote treatment can be provided by the physicians.

AI can be potential by rendering such wide use of technology where a patient can seek a doctor without any constraint.

The innovations in technology are making radical changes and provisions provided there are becoming more complicated beyond the reach of a single care provider.

AI can provide a helping hand in developing a knowledge which has clinical processes involved.

It helps in increasing the longevity and chronic disease management in multi dimensional approach by rendering continuous healthcare services to all the users remotely.

When proper care is not provided, healthcare equality and quality does not suffer.

The need for seamless communications and connections are the need of an hour to provide redressal services when the physicians are not available to provide their service.

AI can be used to inscribe the need both by enabling the intelligent information and communication environment where physicians come into interaction as well as helps in maintaining a virtual knowledge base for all the progress made by the patients throughout the condition and their data management.

In the past few years, there has been an exponential growth in the quantum of health-related data by the patients as well as by the healthcare service providers.

A constant movement towards electronic health records systems and automated systems for keeping patient’s information through Health Information Technology.

The readily available data sets that are combined with continuous evolution of computational ways of processing data.

Such data processing systems help in offering new interferences and all the potential insights which can improve the healthcare systems at large.

This system of storing medical data in return provides a better clinical decision making with an automated means further encouraging the intelligent assistance and diagnosis.

At the global level, there has been a rapid increase in the burden of chronic diseases.

The combination of services which are provided with the growing base of aging populations with several uncertainties.

The existing models of healthcare are overstressed and unsustainable. Telehealth provides different alternatives for making proper utilization for remote healthcare diagnosis, monitoring and proper delivery of healthcare.

In a recent review of telemedicine it was also concluded that the execution of complicated innovations such as remote healthcare needs to evolve organically.

Rapid responses which are adaptable to the local health and social care system are driven by support and frontline staff management.

The increase in capabilities provided by healthcare services in monitoring patients must be exercised in a proper environment and collaboration of teams and other health agencies which have their own systems.

Other issues with AI

We got to know what services are offered with AI but we must take into consideration the social and ethical aspects of using AI into such crucial domains.

AI is likely to cause disturbances across the healthcare system with regards to its workflow, communication, accessing the services and the engagement which have been provided to the patients.

The last stretch of the problems associated with AI may drag down all the services and the focus must be met on developing approaches where new AI tools and algorithms meet the requirements.

The four key elements of social and ethical considerations for enabling AI in Telemedicine are as follows:

1. Ensuring Equity

While AI and technology accelerates the overall growth of the healthcare industry. It also has certain restrictions which increases the division of DO’s and DON’Ts. Such remote services must be delivered to the people living in remote areas as well as in under-developed and developing countries.

2. Monitoring Technological divide

The population of the world is increasing day by day and this diversified population needs technology which fulfills all the requirements in tackling their healthcare problems. AI must help in creating the bridge between the digital divide that has been taking place in the past few years. AI should focus on enhancing the abilities which will provide quality patient centric care delivery to all the users.

3. AI is only a means

HIT and its implementation in healthcare can be considered as a journey and not the final destination. The digitization of healthcare with AI must be made in a significant way where it becomes an integral part of the healthcare system with AI tools and better delivery of designs functioning on AI.

4. People must come first

AI tools and their interaction with different categories of telemedicine apps will open new ways where a patient can approach a doctor in a remote manner. With implementation of AI, the patients will be empowered and a reduction in their efforts to consult a doctor.

Concluding Lines

AI enabled telemedicines apps are the new normal. Unlike humans, AI systems can perform multiple algorithms and operations without any lack of motivation and other demotivating factors which influences the overall tasks needed to be performed.

With the telemedicine domain, the control gets even more difficult as in some of the services there is no direct involvement of humans. Though AI has its own way in solving its own problems.

This article is contributed by Vishal Virani, Founder and CEO of Coruscate Solutions – a leading Telemedicine App Development company.

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