ChatGPT

ChatGPT in Healthcare Industry: Risks and Possibilities

Meghmala

What are the possibilities ChatGPT has to offer? What are the risks associated with it?

The ChatGPT artificial intelligence (AI) chatbot has officially been updated to version 4. The majority of industry professionals are now unaware of how quickly this new technology is approaching. In 2030, the global AI industry is expected to be valued at $383.3 billion, according to the survey, with a strong 21% compound annual growth rate (CAGR) anticipated between 2022 and 2030.

Although 'good enough' AIs like OpenAI's ChatGPT and ChatGPT-4, which can create original prose and speak with human fluency, are now available, true artificial general intelligence, which can solve issues exactly like a human, is still decades away. This has the potential to fundamentally alter healthcare. To free up more time for doctor-patient engagement, ChatGPT may help with administrative activities like preparing patient letters. More significantly, chatbots have the potential to improve the accuracy and efficacy of post-recovery treatment, symptom diagnosis, and the administration of preventative care.

Patients can be inspired and engaged by chatbots and virtual aides that use AI. A patient's symptoms may be reviewed by AI, which can then offer diagnostic recommendations and choices like online check-ins or in-person consultations with a doctor. This can improve patient flow efficiency, lessen healthcare expenses, and lessen the strain on hospital employees. Chatbots have been created for contactless Covid-19 symptom assessment at healthcare facilities and to assist with public question answering during the Covid-19 pandemic. Chatbots may communicate brand news with customers and answer patient questions about medical supplies. AI-enabled virtual agents can help pharmaceutical and medical device businesses simplify customer service procedures and provide round-the-clock care to patients. Chatbots can also be employed socially to improve patient involvement and provide guidance on how to maintain health following treatment. They can use automated reminders to recheck information and take prescriptions.

However, there are a lot of ethical issues with using chatbots in patient care and medical research. Patient information is exposed when more and more patient data is loaded into machine learning to increase chatbot accuracy. In the healthcare industry, homomorphic encryption would be especially helpful. As a result, chatbots might still learn from data without having access to patient-identifying information. This enables users to do calculations on encrypted data without first decrypting it. Depending on the sources the chatbots are fed, the information they deliver may potentially be false or misleading. Such incorrect information could lower the standard of medical care. Because ChatGPT only includes data until 2021 in its present format, it cannot offer the most recent references. The integrity of the evidence-based approach is compromised by the lack of references in the replies. Future iterations of ChatGPT will have more accurate analytical and problem-solving capabilities due to the increased amount of data and information available.

AI will be heavily utilized in the healthcare sector despite the hazards. It is anticipated that additional laws to be passed to control chatbots' usage in the medical field.

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