Potential of AI in Healthcare

Modern era is all about digitization, which is why AI (artificial intelligence) is rapidly infiltrating every industry, including healthcare. Medical data is complex, and it keeps growing with the development of new research and treatments. AI application can help speed up or automate several healthcare operations, whilst reducing or eliminating chances of error. AI may bring out extensive improvement in the healthcare system, and perhaps fend off cases involving medical malpractice. The capabilities of AI are indefinite, yet application in the following sectors looks most promising right now:


Healthcare administration deals with a lot of paperwork, including registration, clinical documentation, record updating, claims processing, and financial management. Medics spend at least 25% of their time dealing with mundane administration tasks, which means the time allotted to patient care is reduced by one fourth. Chat bots or virtual assistants can take care of simple chores through machine learning. For example, a computer/machine can allot appointment time and date to patients a lot faster than a person, by referring to a digital calendar. Similarly, reminder calls and messages can be easily scheduled and delivered by a computer.

AI is capable of making phone calls, and one may not even realize that they are talking to a robot. Patients who come for prescription refills can also be assessed and accommodated faster with AI applications. Precisely, AI can take over several healthcare jobs that do not require face-to-face interaction with an actual doctor

Patient Engagement

More than 90% of complaints coming from patients concern poor customer service. Their calls are not answered, they are confused over the paperwork, and the front desk person is unable to provide any assistance. Robots have high potential to excel human beings in the department of customer care. Through integration with big data, they can answer all the questions that bother patients. AI has already mastered voice recognition, thus in can interpret different languages and/or accents. As a result, many foreign patients can be accommodated with ease as communication becomes easier with computerized translation. The best thing about talking to a robot is that it won’t get agitated, no matter how many times you ask the same question. Patients do not have to feel nervous or hesitant while seeking information from a machine, as they would across a real person.

Diagnosis and Treatment

Radiology images acquired through x-ray, MRI, and CT scans provide insight regarding the internal conditions of the body. Nonetheless, they are often inadequate to diagnose complicated health issues. In such cases, doctors opt for a biopsy, i.e. extracting a physical sample from the patient to study in the laboratory. This process is not only time consuming and convoluted, but can also endanger the patient’s life. AI has the potential to enhance the viability of radiology tools by producing images or digital representations that more detailed and profound (something like a virtual biopsy).

When doctors are trying to make a diagnosis, they may end up with multiple possibilities. Further investigation and research is needed to narrow down the options. Various tests are carried out to assess obvious and hidden symptoms. AI can speed up this process by referring to information in the medical database; this way doctors will not have to do the work manually and the most accurate hypotheses will be filtered immediately. AI has been applied to evaluate complex data sets involved in cancer cell study and its treatment. It can also provide a deeper understanding of genes, antibiotic resistance, and immune system response in different patients.


Author Bio

John Adams is a paralegal who writes about widespread legal and social issues. He helps readers overcome challenges and solve many personal problems the smart way, rather than the hard way. He aims to reach out to individuals who are unaware of their legal rights, and make the world a better place.

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