6 possible ways ChatGPT will impact healthcare

ChatGPT (or whichever generative AI tool takes the lead) will transform healthcare in the same way that the iPhone did.

Healthcare is one of the most important topics of discussion in the modern world. Since medical technology and treatments are changing quickly, it's important to know what's going on in the healthcare field. ChatGPT is a natural language processing technology powered by AI that can answer any health-related questions quickly and completely.

Personally, since 2012, I have been a student of healthcare AI.?

Despite the excitement of data, AI-focused businesses and digital corporations have failed to improve the nation's health and medical expenditures. But now I am super excited.

After a decade of underperformance, AI-driven medicine is succeeding quicker than doctors and patients understand.

“As an AI language model, ChatGPT has the potential to impact healthcare in many ways”.

The OpenAI generative AI chatbot ChatGPT is the cause. ChatGPT has passed graduate-level business, law, and medical school exams without Google since its inception in late November.

ChatGPT4 and Google's AI product will debut later this year. Last week, Microsoft and OpenAI launched an AI-powered search engine and web browser, with additional major companies expected to join.

“Which business wins the generative-AI arms race is unknown. Whatever the outcome, we've reached a tipping point”.

Generative AI will change medicine.

Improve patient care:

ChatGPT could be used to improve care for patients by giving them personalized advice based on their medical history, symptoms, and other information. For example, ChatGPT could help patients with chronic conditions manage their symptoms, provide them with information about their medication, and recommend lifestyle changes that could improve their health.

Enhance patient engagement:

ChatGPT could make patients more involved by making their experience more interactive and interesting. For example, ChatGPT could be used to create virtual assistants that patients can interact with to ask questions about their health or receive personalized recommendations.

By accelerating and strengthening exponentially

The brain can readily forecast arithmetic growth. It also understands geometric expansion (1, 3, 9, 27) effectively.

However, constant, exponential growth is harder to comprehend. ?

This new technology's power and speed would follow Moore's Law, which states that computer development doubles every two years. If so, ChatGPT will be 32 times stronger in a decade and nearly 1,000 times stronger in two decades.

That's like selling your bike for a car and then a rocket ship.

Instead of focusing on ChatGPT's current capabilities, look ahead 10 years. Because of more data and computing power, ChatGPTs of the future will be better at analyzing and solving problems. This revolution will let tomorrow's technology equal practitioners' diagnostic skills.

By modeling doctors' clinical decisions

Generative AI isn't predictive. It can't tell what will happen in the World Series or on the stock market like the oddsmakers in Las Vegas and Wall Street investors can.

Instead, ChatGPT and other generative AI apps can access terabytes of data in less than a second, using hundreds of billions of characteristics to "guess" the next best phrase or idea in a series of words and concepts. Sentences are just the start.

Generative AI solves issues. Doctors solve difficulties similarly:

• Make use of a large database. Physicians get data from class, research, and practice. AI considers all digital content.
• Useful data. A doctor will recall or look up information on a patient's symptoms. Generative AI will select text using billions of criteria.
• Predict the correct pieces. ChatGPT tests sentences, while doctors compare diagnoses. Both evaluate and anticipate the optimal match.

The major difference is that doctors can ask patients clarifying questions and prescribe tests to improve their conclusions' accuracy. This step will be done by the next generation of generative AI (or at least suggest the right lab and radiology tests). Microsoft's new AI-powered interactive chat tool asks iterative questions and learns from conversations.

Like hospital residents, generative AI will make mistakes that require a qualified doctor to fix. As with doctors, experience and computational power increase acuity and accuracy. ChatGPT will get better until it matches or beats the clinical quality and ability to predict that of medical professionals.

24/7 medical assistance

40% of Americans have two or more chronic conditions, which influence their health daily.

Patients need daily monitoring and care. Unfortunately, the office-based, in-person medical system cannot deliver it. AI can greatly improve this.

Next-generation generative AI will monitor patients 24/7 and provide medical expertise. Patients could avoid heart disease, hypertension, diabetes, and its lethal complications like heart attacks, strokes, and cancer by doing so. This service would cost pennies a day, excellent since chronic diseases account for 90% of healthcare costs.

Generative AI could aid chronic illness sufferers by:

·?????Syncing with wearable devices and consumer technology like Alexa to monitor patients 24/7 and offer personalized health updates.

·?????Comparing wearable-device readings to each patient's doctor's expected ranges—creating patient and physician alerts when something's awry.

·?????Home reminders for preventive checkups, Rx refills, and regular exercise (along with other lifestyle improvements).

·?????Preventing medical errors

Video-enabled AI in hospitals could reduce medical errors, a primary cause of death in the US.

Patient safety errors, especially in hospitals, kill tens of thousands each year (with some estimates reaching as high as 200,000 deaths). Scientists have identified ways to avoid these deaths. Doctors and nurses often fail to follow evidence-based guidelines, causing needless problems.

“The New England Journal of Medicine found that approximately 1 in 4 hospitalised patients will be harmed. Healthcare experts advise hospitalised patients to bring a family member to avoid deadly human errors. That won't be needed”

The next version of ChatGPT will be able to watch doctors and nurses on video, compare their actions to evidence-based guidelines, and warn practitioners when mistakes are about to happen.

This would eliminate most pharmaceutical errors, hospital-acquired infections, pneumonia, and pressure ulcers.

By helping all doctors excel.

Medicine is an art and science. Both skills are taught to medical students and residents in textbooks, journal articles, classroom lessons, and by excellent clinicians. AI will continue this way.

After connecting to bedside patient monitors, lab data, and conversations between doctors and patients, ChatGPT will figure out what the best clinical steps are. ChatGPT learns from these decisions and gets better by comparing them to clinical notes and orders from the attending doctor in the electronic health record.

First-year medical students need 10 years to become fully proficient. Following the greatest doctors in hundreds of hospitals, the next ChatGPT generations will finish in months. Once generative AI can predict expert behavior, it can share that expertise with doctors and nurses nationwide.

But ChatGPT also has limitations

ChatGPT's power and competence will always be limited. Human-inputted data accuracy will always affect the application. It will be influenced by the doctor's prejudices.

However, it will improve and address increasingly complex medical issues. Whether it takes 10 years (and 32 times the processing power) or 20 years (and 1,000 times the power), generative AI will surpass physicians' cognitive and problem-solving abilities.

Today's educators must defy healthcare's unwritten conventions to train tomorrow's doctors. Trainees will profit from generative AI's clinical powers rather than fearing ChatGPT.