The introduction of AI in healthcare has saved around 20 per cent of physicians’ time on administrative activities. About 10 per cent of medical practitioners use AI-powered technologies such as ChatGPT to provide effective solutions. Emerging technology, like AI fused with data, is set to make healthcare more accurate, accessible and sustainable. Imagine a world in which machines not only help but also anticipate the demands of healthcare workers, where massive amounts of medical data are converted into meaningful insights and patient outcomes are optimised with pinpoint accuracy.
ASSIST HEALTHCARE
AI tools have a reputation for aiding and enhancing human labour, rather than replacing physicians and other healthcare professionals. AI is ready to assist healthcare staff with various duties, from administrative workflow to clinical documentation and patient outreach, as well as specialised help in image analysis, medical device automation, and patient monitoring.
Prediction systems use a machine learning model that primarily works on the symptoms given by the user. This is done by using algorithms and the comparison of datasets; thus, we must have the required and sufficient data to compare the symptoms shown by the patients.
AI TRAINING
AI can be trained to detect mammograms or X-rays that might be missed by human radiologists or during a shortage of hospital staff. Interrogating patients’ records with a highly classified AI tool will diagnose rare diseases much faster, avoiding unnecessary investigations and thus benefiting thousands of patients.
By leveraging technology in healthcare, we can identify ‘at-risk’ patients who require immediate attention and cater to a larger number of patients in a very short period of time to identify abnormalities, detect fractures, and detect tumours. The more data accessible, the more accurate the AI system will become. The system then analyses this information to detect patterns or trends that may suggest a specific disease or condition. One of the primary benefits of utilising AI for diagnostics is its capacity to continually learn and increase accuracy over time.
In the age of globalisation, people are mostly on the move. Which makes it a challenge for individuals like her to visit a doctor whenever they are feeling sick. Thus, AI can develop a personalised treatment plan by analysing medical history, genetic data, and lifestyle factors. The advent of machine learning in precision medicine is a revolution for healthcare that enables more tailored medicines with perhaps fewer adverse effects. AI-powered tools also recommend preventive methods to individuals based on specific risk factors.
THE WORRY
Even though some patients have experienced positive outcomes from AI for cancer treatment and therapy, many users are scared of leveraging the new technology. 27 per cent of adults in the UK worry about too much dependency on AI for medicine allocation. 60 per cent of Americans are not comfortable with their provider relying on AI-powered technology. But on the brighter side, 75.7 per cent of radiologists believed that algorithmic outcomes based on AI were trustworthy.
Artificial intelligence may serve as a virtual assistant for physicians and nurses. This may involve recommending pertinent medical material, medication interactions, and therapy choices based on the patient’s situation. This frees up significant time for medical personnel to devote to patient engagement and difficult decision-making.
It is abundantly clear that the potential of A.I. as far as applicability in the field of healthcare is concerned is near infinite. Administrative and operating systems, entrenched in Artificial Intelligence, would in time be capable of not just handling routine and procedural tasks, but also of handling complex and high-pressure situations optimally.
(Dr Naresh Purohit is Executive Member – Federation of Hospital Administrator and Visiting Professor to Five South India based Medical Universities, School of Public Health. The views and opinion expressed in this article are those of the author)
