ChatGPT in Healthcare: Can It Aid in Automated AI Product Development

The healthcare AI market is expected to grow to $188 bln by 2030, with natural language processing and data integration being the most popular features. As a result, AI tools like ChatGPT, Bing AI, and Gemini have sparked discussions about AI's ethical and safe use in healthcare.

If you're thinking about using ChatGPT in your clinic, this article is for you. You'll learn about the benefits and things to think about when adding AI to your medical practice and see if ChatGPT could be a good choice for healthcare software development.

ChatGPT vs Bing AI vs Other Tools: Which Is More Reliable for Clinics? 

As software develops, clinics have more options to choose from and often find it hard to pick the best one. To choose wisely, it's important to know about the main AI tools in the market and check if they meet your clinic's needs, such as patient monitoring, appointment scheduling, data analysis, and diagnostic support.

ChatGPT is a flexible tool with great conversational AI abilities. Many clinics use it as a chatbot or virtual assistant to handle patient inquiries and provide information. For instance, Vanderbilt Medical Center used ChatGPT to accelerate the improvement of alerts and received many good medical suggestions from it.

Bing AI uses Microsoft's large data sources and search features, making it perfect for clinics needing up-to-date information integration. Clinics can use Bing AI to enhance their medical databases with the latest research and context-aware data retrieval.

Gemini is a promising AI tool for specialized tasks. This makes it a good choice for creating specific clinical applications. However, it might need some time to show its reliability in real-world situations. 

Although AI is usually applicable to various industries, some tools can be used only by healthcare teams. For instance, Google developed Med-PaLM — a tool aimed to provide answers to medical questions. HCA Healthcare tested its ability to improve workflows. Now, they use Med-PaLM for emergency medicine physicians.

Medical Chat is another example of a specialized AI tool that offers instant medical answers to health-related queries. It’s not intended for general use and offers info to assist doctors in diagnosing diseases. 

The Unique Capabilities of ChatGPT in Healthcare

AI has become a crucial tool in healthcare. For example, AI algorithms identified 68% of positive COVID-19 cases that radiologists missed. Today, AI, including ChatGPT, helps in many ways, offering cost-effective and fast solutions for healthcare needs.

Accelerating Development Cycles: Speed vs Quality

ChatGPT can become a valuable tool for developing medical software thanks to its possibility to speed up development cycles. To be more precise, it reduces the time required to bring a healthcare solution to market by automating routine coding tasks, generating boilerplate code, and assisting with documentation. As a result, developers can focus on more critical tasks and deliver the solution faster. 

Coding a Reliable Healthcare Software

ChatGPT can assist in coding by providing suggestions, generating code snippets, debugging code, and automating routine coding tasks. However, it’s important to note that this tool isn’t perfect. Developers can consider its suggestions, but shouldn’t rely upon them completely. 

Since ChatGPT doesn’t possess critical thinking, it’s up to human experts to ensure the software meets regulatory standards, is secure, and functions correctly. Collaboration between ChatGPT and experienced developers can lead to more efficient software development in healthcare.

How ChatGPT Helps Reduce Development Costs

ChatGPT can significantly contribute to healthcare automation, which has the potential to save up to USD 360 bln annually in the U.S. By performing routine tasks and providing real-time code optimization, ChatGPT frees up developers from repetitive tasks and allows them to concentrate on more complex tasks. This helps improve resource allocation, lowering the total cost of medical software development. 

Another great feature of ChatGPT is its ability to assist with troubleshooting and debugging. As a result, clinics can minimize downtime and errors, cutting down costs associated with long development cycles and post-launch maintenance.

ChatGPT Healthcare Concerns: Ethical Considerations

Although the use of ChatGPT looks promising for healthcare companies, there are ethical concerns they should address. 

Reliability and Bias

AI-generated recommendations in critical areas like diagnosis and treatment may be unreliable, presenting errors that can harm patient health. What’s more, AI algorithms can be biased, leading to unfair treatment outcomes. To address these issues, consider implementing rigorous testing and validation processes. Regularly audit AI outputs for accuracy and bias, and ensure its recommendations are reviewed by healthcare professionals.

Data Privacy and Security

ChatGPT processes sensitive medical information, including patient records and clinical data. Ensuring its privacy and security is crucial to prevent identity theft, financial loss, and damage to patient trust. Use strong encryption protocols and access controls to safeguard patient information. Ensure compliance with all relevant regulations, such as HIPAA, to enhance transparency and trust.

Legal Responsibility

The use of AI in healthcare raises questions about legal responsibility in cases of errors or adverse outcomes. Clearly define legal responsibilities through comprehensive contracts and agreements, ensure all parties understand their roles, and implement robust documentation to track AI decisions and actions.

Over-Reliance on AI

There is also a risk of over-relying on AI, which could reduce the role of human judgment in patient care. Encourage a collaborative approach where AI assists rather than replaces human judgment, provide training for healthcare professionals, and establish clear guidelines on AI use.

How To Use AI Software with Legacy Systems: Tips To Implement ChatGPT

To use the full capabilities of ChatGPT for healthcare purposes you need to integrate your systems with OpenAI API first. Yet, it can be challenging because old systems often lack the flexibility and compatibility needed to support new tech. I’d like to share a few tips from the Jelvix team to help you implement ChatGPT into your healthcare settings efficiently.

Assess Existing Infrastructure

Start by checking your current system. Understand what technology you have, find any issues, and see how ready the system is for new AI. This helps figure out what needs to be updated or changed to add AI technology.

Integrate Incrementally

Instead of changing everything at once, add AI parts bit by bit. This way, you can see how well they work, fix problems, and handle risks better.

Use Middleware Solutions

Middleware can connect old systems with new AI tools without replacing everything. These tools help different systems talk to each other and keep data flowing smoothly and safely.

Test and Validate

Make sure to test ChatGPT thoroughly and check that it works well with your old systems. Regular tests find problems early, and validation ensures the AI meets healthcare rules.

Train and Manage Changes

Bringing AI into your system means changing how things are done. Offer training so your staff knows how to use the new AI. Using change management can make these changes easier, reduce pushback, and help everyone accept the new technology.

Use Cloud Technologies

Cloud solutions can make integrating AI easier and less stressful on your system. Moving some parts to the cloud can give you powerful AI tools without overloading your current setup. Clouds are also good because they offer strong security and meet healthcare privacy needs.

The Generative AI Landscape: Optimism and Skepticism Among Healthcare Leaders

AI technology is rapidly growing, and healthcare leaders are actively discussing how it can be used in medical settings.

Many are excited about AI's potential to handle admin tasks and organize clinical records, which could let healthcare workers spend more time with patients. They also use AI predictive analytics in healthcare that help tailor personal treatments and chatbots that engage patients better.

On the other hand, some are worried about AI's safety and reliability. They fear mistakes in diagnosing and treating patients, which could be harmful. They are also concerned about keeping health information private and secure.

Both the hopeful and the cautious agree that clear rules are needed to safely and effectively use AI like ChatGPT in healthcare. At Jelvix, we believe in setting these policies to guide the ethical use of AI tools.

Jelvix Developers: On-the-Ground Experiences and Feedback

The Jelvix team has vast experience with AI tools, including ChatGPT, across different projects. Based on my team’s experience, I can confirm that ChatGPT can significantly accelerate the development process by automating routine tasks and enhancing code quality through real-time feedback. But you shouldn’t ignore possible security risks and ethical concerns. 

If you're thinking about adding ChatGPT or another AI technology to your healthcare setting, our experts are here to help. Contact us to review your medical systems and find where AI can make the most positive impact, improving both performance and cost efficiency.