Harnessing the power of AI in Healthcare Industry

In this digital era, consumers worldwide are accustomed to getting a full range of personalized customer experiences when and where they want. The growing expectations of consumers in healthcare and other industries are giving rise to digitization in this industry.

According to a study by Accenture, the AI healthcare market is expected to reach $6.6 billion by the end of 2021. Various medical practitioners and healthcare service providers are utilizing Artificial Intelligence in Healthcare to generate valuable insights and deliver better patient care.

In this blog, we are going to explore the application of AI in healthcare and the limitations associated, and what is the future of AI applications in the healthcare industry. Keep reading to know everything about the application of Artificial Intelligence in healthcare.

How is AI going to change the Healthcare industry?

At the start, AI as well as other technologies were merely used to automate the routine and monotonous tasks and reduce the manual paperwork through digitization of data. Data plays an important role in every industry. Healthcare facilities that analyze the data properly and reach the right conclusions save the patients’ lives.

While tasks are continuously worked upon, Artificial Intelligence has expanded its application from being used as a back-office productivity technology to emerge as a technology that enables healthcare outcomes. Organizations working with AI-based development solutions build Machine learning algorithms, Deep learning capabilities and analyze massive amounts of data.

Source: Artificial Intelligence In Healthcare Market Report, 2021-2028 (grandviewresearch.com)

For instance, analyzing the patient’s medical history and diagnosis help organizations to deliver better patient care by understanding patterns in health. They can identify a person who is more prone to healthcare diseases and has led to future illnesses and show symptoms of a terminal illness.

While diagnoses are an important aspect of AI, there are many other applications of AI in the healthcare industry as well. From identifying new drugs to using AI for better diagnoses, these applications are discussed in detail in the next section:

Applications of AI in Healthcare

Over the years the power of AI has escalated by leaps and bounds in many industries such as AI in the pharma industry, AI in education, sports, and manufacturing as well as AI in the healthcare industry.

Source: 10 Promising AI Applications in Health Care (hbr.org)

Mostly, the applications of AI involve large datasets of unstructured data and providing efficient insights to doctors on patients’ health leading to better and more personalized care delivery options.

Here are the main applications of AI in healthcare 2021 which leads the way to the healthcare industry:

1. Computer-human brain interfaces

This is one of the most interesting applications of AI in the healthcare industry. Usage of brain computers allows patients to interact with an interface that aligns with the human neurological system and provide them better communication facility.

The brain-computer is supported by AI services and helps in decoding the human neurological activities that are associated with hand movements, listening, gestures, and other communication methods similar to that of humans.

2. Medical diagnosis

Another promising role of Artificial Intelligence in healthcare is a more efficient medical diagnosis. Machine learning and Artificial Intelligence in healthcare diagnosis study a huge amount of data and provide accurate medical diagnoses at an accurate time interval.

Medical imaging and scans that are backed by AI and ML are the right tools to diagnose and assess the disease at very early stages. The AI-based systems go through a ton of images and scans that identify the disease and allows physicians to start treatment at early stages only.

3. Virtual assistants

Artificial Intelligence-based virtual assistants are a boon for the healthcare industry. These assistants can perform a range of tasks from enabling conversation with patients to directing them to the best and most effective care unit. Moreover, these assistants are available 24x7 and respond well to queries.

Source: Virtual Assistants for Healthcare Infographic | Nuance

Presently, many AI-based virtual assistants enable more regular conversations between patients and doctors. One such example of an AI-based virtual assistant is Care Angel, which facilitates wellness checks through AI and voice.

4. Enhanced primary care through chatbots

Many people tend to book an appointment with the slightest medical issue or threat, and most of the time these threats turn into a false alarm and are treatable through self-diagnosis. Artificial Intelligence assists in empowering even flow and automation of primary care which free physicians and doctors from unnecessary stress.

On the other hand, enhanced primary care through chatbots and AI would allow patients to save money and time by avoiding unnecessary trips to the doctor. AI-based algorithms also provide patients with an instant answer to all their health-related queries.

5. Robotics surgeries

AI along with collaborative robots have changed the surgeries in terms of their speed and accuracy. One of the added advantages of using robots in surgeries is the elimination of the errors that occur due to fatigue during lengthy and crucial procedures.

Source: SERVICE ROBOTS Record: Sales Worldwide Up 32% - International Federation of Robotics (ifr.org)

AI-based medical machines are capable of employing data from past operations and also help develop new surgical methods. The precision of these AI-based machines also reduces the possibility of accidental movements during the surgeries.

What does the future hold?

We all know that AI facilitates a massive amount of data collection through wearable devices and outpatient departments. With such a vast amount of data, AI-based algorithms hold great importance in healthcare. This technology would lead to better decision-making, saving millions of lives with proper diagnosis and treatment. Once the medical institutions have access to such accurate data, they can build proper healthcare plans and treatments.

Biasness in the medical industry due to AI/ML algorithms deployed by organizations such as IBM and Google need to be taken care of. These organizations work on certain parameters that are used to diagnose and analyze the data to generate insights, but the major threat lies when and if these parameters don’t match the criteria for unknown diseases.

The future of AI in the healthcare industry would ensure smooth and error-free medical treatments, surgeries, and diagnoses. Services in the coming years would see a major improvement with the help of this robust technology. The patient-doctor experience would also be enhanced with the deployment of virtual assistants.

All in all, Artificial Intelligence is a boon for many industries including the healthcare industry. The applications, therefore, are an essential aspect of improving healthcare delivery outcomes.

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