The upsurge of AI in Healthtech 2021

The upsurge of AI in Healthtech 2021

AI in Healthtech: Artificial Intelligence (AI) has grown its roots into various domains. The efficient and effective task handling of machines where humans would struggle makes machines irreplaceable.

The exponential growth of AI in Healthcare has created an expectancy to reach $150 billion by 2026. According to a recent survey, AI in the healthcare market is expected to reach USD 45.2 billion by 2026 at a CAGR of 44.9% from 2021 to 2026. AI provides accessible healthcare to remote areas.

The common belief that AI would replace the human workforce is a wrong notion. AI would integrate with the running healthcare service and not substitute or replace it altogether.

The human emotions which play a pivotal role in patient care could not be replaced by any AI-assisted system. The goal would remain the same: to serve patients better.

The common technological advancements include telemedicine/ teleconsultation, e-pharmacy, medical wearables, remote patient monitoring, virtual screening, customized treatment plans, or chatbots. All these innovations lead to early detection of illnesses, hence early treatment.

Here is a detailed insight into the various aspects of Healthtech where AI is blooming.

Chatbots

Chatbots extensively focuses on making health care accessible. The patients can provide their symptoms in their native language and accurately determine if it requires further doctor consultation or can be resolved with self-diagnosis.

Chatbots provide ease to the hospitals with data explosion and steer through the customer queries in a cost-effective, rapid, and consistent fashion.

Chatbots are an absolute solution while helping patients understand their billing statements, ensure safe payment procedures, and address questions through text or call. They can also be used effectively in educating the mass about a disease or medical condition and its precautions.

Though chatbots have been designed to solve first-level questions only. But most of the questions have a common repetitive query. Hence the approach to humans for solving critical queries shows that customer interface cannot wipe out the human race.

Data Handling

The entire healthcare organizations face a data explosion. Hence effective mining and managing of patient details within seconds have proven a boon to the overburdened healthcare system.

Proper medical history enables doctors to diagnose and decide further treatment. It provides more accurate diagnoses, has considerably fewer errors, and lower costs of care.

Data analytics has enabled data analysis at the macro level, which further boosts research work as it has become easier to identify trends like the spread of disease.

Healthcare integrations also adhere to data security, hence maintaining the privacy of every individual. The customized interfaces have seamlessly integrated pharmacy to cater a complete solution to the patient.

Even insurance companies have leveraged AI-assisted systems to provide a suitable and customized healthcare plan.

The Electronic Health Records(EHR) has automated the consultation and medication process to an immediate result-generating system. The previous errors caused due to insufficient medical history, huge caseloads, etc, can now be minimized.

Diagnostics

Medical imaging is a classic example where an AI algorithm is used to comprehend and diagnose with precision. AI in collaboration with the diagnostic sector has ensured analysis, prediction, and prevention of the diseases.

Therefore it provides a base to the doctors on which the further treatment plant can be formulated. The wearable technologies like smartwatches and apps assist in track and prevention several health problems.

It ensures that the doctors can monitor a patient’s health even from a remote area. The AI-assisted systems have built an inclination towards self-diagnosis and treatment in the patients, which would reduce the load on the overburdened healthcare organizations and resolve minor issues without much fuss and commotion.

The storage of every treatment and its symptoms and response around the globe is unmatchable for any individual to keep up with.

Robotics – AI in Healthtech

The integration of robots in the healthcare system will ensure that surgeries and operations are performed with precision and accuracy, which is often beyond human abilities.

The continuous fatigue that generally leads to errors, can be resolved through robotic integration in the healthcare system.

Specialized robot-assisted surgery can eliminate surgical complications and tackle immediate operational challenges. Thus, making it even more reliable than existing health professionals.

Virtual Nursing Assistants

The term creates a notion that it would take up the jobs of the nurses, but it is not true. It has been built to help the staffs and nurses provide an excellent experience to the patients. The efficacy in conversing, registering, monitoring makes it more adaptable and accessible.

The virtual nursing assistants can even recognize the concerns of the patients and schedule the earliest appointment with the professional. They cannot wipe or take over the conventional nurse jobs as it involves human emotions like empathy, kindness, and affection which cannot be inculcated or induced in an AI-assisted system.

Prevention – AI in Healthtech

The pivotal change that AI-assisted systems can bring about in the healthcare system is to help patients in tracking and preventing any illness. AI and the Internet of Medical Things (IoMT) are bringing about a revolutionary change in existing AI in Healthtech.

The various wearable technologies cultivate in building a healthy lifestyle and creating awareness. It enables people to exercise control over health and well-being. It also guides the existing lifestyle.

Like if heart disease is reported in the early stages, then it reduces the chances of undergoing surgery and can end up being cured. Pattern recognition helps people to take clinic decisions and actions effectively.

The processing speed, large data collection, and analysis, comprehension of symptoms, and treatments have enabled the rapid development of AI-assisted systems and technology with healthcare organizations. Accurate diagnosing, treatment planning and information management have changed the healthcare industry and provided a better experience for the users.

Read More: Healthcare Organizations to use AI for Crowd Management

About Bhavika

Sr. Consultant at Yugasa Software Labs - App | Web | IoT | AI
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