Deep Research for Healthcare Using ChatGPT: A Practical Guide for Medical Professionals

Artificial intelligence has changed the way healthcare professionals learn, think and work. Among all the tools that have emerged, ChatGPT stands out as one of the most impactful and easy to use. Over the next few days, we are exploring how ChatGPT can be used effectively by medical professionals for education, research and innovation.

When ChatGPT was first introduced, it became the first widely available AI tool for the public. Since then, it has evolved rapidly, and the latest version, ChatGPT 5, brings several features that are highly useful in healthcare. Even the free version now includes functions that can help doctors write, analyze and research more efficiently.

For those who want to explore deeper, the paid versions offer even more. Interestingly, OpenAI has introduced an affordable middle plan called ChatGPT Go, priced at just ₹399 per month. This makes advanced features accessible without the higher costs of the Plus or Pro plans.

Powerful Free Tools for Medical Use

While the premium versions include features like image generation and document uploads, the free version already has two tools that are particularly valuable for healthcare professionals: Projects and Deep Research.

The Projects feature helps users organize long-term work directly within ChatGPT. It allows doctors and researchers to manage related chats and ideas in one place, without having to search through multiple sessions.

The second and most impressive feature is Deep Research.

Understanding Deep Research

Deep Research goes far beyond a regular search. Instead of giving short answers, it performs an in-depth exploration of a topic, gathers relevant information, and compiles a structured report complete with references and data. It works like a digital research assistant, capable of reading widely and summarizing findings in a meaningful way.

Even in the free version, users can access up to five Deep Research sessions per month. For most professionals, that is sufficient for essential projects or reports.

Example: Dengue Fever in Kerala

To see how it works, I tried a Deep Research query:

“Analyze the dengue fever situation in Kerala over the last 25 years and suggest effective solutions in terms of outbreak prediction, prevention, and control.”

The system first asked a few clarification questions, such as whether I wanted trends by year, details of outbreaks, or policy analysis. I chose trends by year and major outbreaks and asked it to cover all levels—government, community, healthcare systems, and technology. I also specified that the report was meant for public health officials.

After I answered the questions, Deep Research began working. Within a few minutes, it produced a detailed report titled “Dengue in Kerala 2000–2025: Trend and Analysis.”

The report included:

  • Yearly and regional trends of dengue cases

  • Major outbreaks and contributing factors

  • Analysis of the healthcare infrastructure and control efforts

  • Solutions in four areas: policy, community engagement, healthcare system improvements, and technological innovations

  • Tables, charts, and references from verified sources

Although the free version takes longer and the report is shorter than what you get with the paid plans, the quality of analysis was impressive.

Reviewing and Refining the Report

Once the report is generated, you can download it as a Word or PDF file. I recommend downloading the Word version so that you can review, refine and add your own insights. AI-generated reports should always be considered as a base draft, which needs expert review and personalization before use.

How It Compares with Other Tools

Other AI tools, such as Google Gemini Pro, can perform similar tasks. Gemini also creates colourful infographics automatically, which is a plus. However, ChatGPT’s Deep Research offers a smoother and more conversational experience, making it easier to guide and shape the output according to your needs.

A New Way to Approach Healthcare Research

Deep Research in ChatGPT gives doctors and public health professionals a new way to explore data and evidence. It can be used for public health assessments, academic writing, and even policy recommendations. It saves time while helping you access structured and credible information quickly.

However, these reports should not be accepted blindly. Human review and interpretation are essential. The real power lies in combining expert judgment with the efficiency of these digital tools.

ChatGPT’s Deep Research is not here to replace human intelligence. It is here to support it—to help healthcare professionals think deeper, work faster and focus more on solving real-world problems.

You can download the sample report on Dengue Fever in Kerala (2000–2025) linked below and see how Deep Research can be applied in your own field of work.

Dengue in Kerala (2000–2025)_Trends and Analysis

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