Home » Blog Articles » New Research » ChatGPT’s Potential Impact on the Delivery of Healthcare Services

The development of ChatGPT has created a lot of interest and speculation. Opinions range from fear and loathing to appreciation and celebration. In reality, ChatGPT is actually somewhere in between these opposing opinions and could impact healthcare.

What is ChatGPT:

The technology is a scaled-up version of a chatbot. These bots are trained by crawling/scraping large amounts of textual information from the internet. This is how search engines like Google or Bing can return filtered search results based on the key words that are inputted by users.

Basic artificial intelligence is able to pull language from a database (or the internet) and organize it into smaller, more usable pieces of information. A more simplified example is when a Google search returns webpages or other documents based on a user’s input.

In a similar fashion, ChatGPT is returning textual information based on the inputs that a user has requested. It is very good at finding patterns that match and expand upon an original set of data/instructions. In order to further develop this technology, Microsoft has made a multi-year investment with OpenAI. The goal is to develop artificial intelligence that is powerful but safe for the general public to use.

What ChatGPT Can Do:

Recently, this technology was able to perform well on the USMLE (U.S. Medical Licensing Exam) without any specialized training. The USMLE are exams that cover a wide range of medically-based topics such as bioethics, biochemistry, clinical medicine and patient management. In order to practice medicine in the United States, the three exams must be successfully passed.

In order to pass these exams, a score of sixty percent is required. ChatGPT achieved a near passing score on all three of the exams. Using publicly available questions from the June 2022 USMLE, the technology was able to score between 52 and 75 percent on the three exams. An amazing result that has implications for clinical decision making and medical education.

The Use of ChatGPT in Healthcare:

There are numerous ways in which this technology could be utilized in the healthcare industry. In communities with restricted access to healthcare, due to distance or financial constraints, integrating ChatGPT could help to expand access to high-quality care. The use of telemedicine and AI-powered chatbots, such as ChatGPT, can improve access to healthcare and offer 24/7 medical help and guidance to patients from the comfort of their homes.

ChatGPT offers the potential to improve productivity and save costs, while streamlining overall operations. The automation of ordinary tasks could free up time for medical staff. In turn, staff could spend more time concentrating on the more difficult tasks. A move that should increase a medical facility’s overall productivity and effectiveness.

ChatGPT-based interfaces could improve patient engagement. Each patient could receive specifically targeted health information that would help them better understand their available treatment options.

As a result, patients are more satisfied and have greater faith in the treatment they receive throughout their healthcare journey. Moreover, ChatGPT can help patients and healthcare professionals communicate, minimizing the need for in-person visits and enabling patients to get care from home.

By examining vast volumes of healthcare data, ChatGPT has the potential to improve research, which is another area. ChatGPT can assist in finding patterns and links in massive datasets by using AI algorithms, giving important insights into healthcare trends and outcomes. This can help healthcare professionals make better decisions, which will enhance patient outcomes and ultimately advance the healthcare industry as a whole.

The healthcare sector is continuously evolving and adapting, partly due to the introduction of new technology and advances such as artificial intelligence (AI). ChatGPT is a new technology that has the potential to transform a wide range of industries, including healthcare.

This AI-powered chatbot is made to give patients immediate access to the correct information and help. Although the technology creates intriguing new possibilities, there are also dangers that need to be considered when integrating ChatGPT into the healthcare system, as well as moral and legal issues that need to be taken into account.

Challenges and Concerns of ChatGPT in Healthcare:

The use of this new technology is an amazing tool that can have a positive impact on the field of healthcare. However, there are a number of issues that could create problems.

Assuring the dependability and correctness of the information the chatbot provides is one of the major concerns. To prevent any potential harm to patients, it is essential to make sure that ChatGPT is trained on a complete and accurate dataset because it depends on data and algorithms.

Furthermore, the employment of ChatGPT in the healthcare industry raises concerns about liability and accountability in the case that the chatbot causes injury. If the chatbot gives out inaccurate or dangerous information, who is to blame?

There is already concern about the legal implications of auto-complete and copy/paste functionality in modern EHRs. To protect patients and handle any potential legal concerns, it is essential to clearly define the duties and obligations of all parties involved in the use of ChatGPT in healthcare.

Limitations of ChatGPT:

There are many new technologies that could benefit the medical community, but there are challenges that need to be addressed.

The ChatGPT application is composed of various text data types. This implies that it occasionally misinterprets the often-implied nonliteral meaning of words and language. In a similar manner, the technology is lacking in common sense and general knowledge, which might be a drawback in applications like question-and-answer sessions and problem-solving sessions.

It provides inaccurate and irrelevant text since it is unable to understand and respond to specific questions. This AI model cannot always be trusted to produce correct results, making its usage or trust risky at times.

Other limitations include:

  • Sometimes ChatGPT provides answers that seem correct but are actually erroneous or illogical. Fixing this problem is difficult. If the application is made more cautious, it tends to decline questions that it can answer correctly.
  • Furthermore, supervised training of the application deceives the model because the best response depends on the model’s knowledge rather than the demonstrator’s knowledge.
  • In an ideal scenario, the model would pose clarifying queries in response to unclear user input. Instead, the present models typically make assumptions about what the user meant.

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