ChatGPT vs TrialHub

Earlier this year many of our clients (CROs and sponsors) were keen to see how ChatGPT can make their work more productive and speed up finding essential information when conducting their feasibility assessments for clinical trials. They were hoping they would cut their hours and days of research for basic but hard-to-gain information like the treatment pathways, epidemiology, and research reviews. We all did this only to find out that ChatGPT is great but had little to offer as in the clinical research industry we need to be able not just to get an answer to we need a verified answer that we can track back to data sources we can trust.

This is when my team at TrialHub saw a great opportunity to customize the technology behind ChatGPT and combine it with other technologies we've built throughout time and our pre-validated data. This gave birth to our TrialHub IQ (Intelligent Queries).

Of course, once we introduced TrialHub IQ to our clients, they had questions. Mainly questions related to how we are different to ChatGPT, Bing and other similar available tools. The shortest way to answer:

TrialHub IQ is a custom AI to extract clinical trial- and patient-related insights from pre-validated data sources with full control over the selected sources and their relevance and update status.

My lovely colleague Mari has written an article on the topic outlining a few areas where ChatGPT and TrialHub are different. Here are a few areas to consider and here's the full article to give you more details as well as access to screenshots for comparison: https://trialhub.com/blog/articles/chatgpts-limitations-in-clinical-research-a-call-for-advanced-ai

Data Sources:

ChatGPT: broader Internet

TrialHub: 20 million peer-reviewed PubMed articles and 2,000 medical guidelines. It also supports the capability to include company proprietary data that can either be queried on its own or can be blended with other public sources allowing it to generate truly unique insights. As a result, the answers provided are rooted in highly vetted, up-to-date, and credible medical knowledge.

Relevance & Specificity

ChatGPT: Given its general training set, answers might not always match the precision that a specialized system like TrialHub IQ offers, particularly for nuanced medical inquiries.

TrialHub IQ: Its retrieval mechanism enables it to fetch relevant excerpts from medical articles, ensuring answers are directly tied to specific research.?

Information Traceability

ChatGPT: Lacks direct references, so you can’t trace the information to a definite article or study.

TrialHub IQ: You have full visibility of each quote and which data source is it coming from. You can go to this source and also see more information about the institution/author and last update time.

Depth & Breadth of Knowledge

ChatGPT: While knowledgeable across various topics, its depth in specialized medical domains might not be as extensive as TrialHub IQ.

TrialHub IQ: Exhibits profound medical knowledge, especially since it is consistently updated with new medical research, from verified sources.

Incorporation of Proprietary Data Files

ChatGPT: ChatGPT’s model doesn’t include a feature for the direct incorporation of proprietary data files. It operates based on a fixed model and doesn’t allow you to enhance its knowledge base with proprietary data.

TrialHub IQ: Provides the capability to incorporate your proprietary data files, enhancing its knowledge base with specialized information while maintaining strict confidentiality and security standards to protect sensitive data. This feature empowers you to gain exceptionally specialized insights from their own, proprietary data.

Update Frequency

ChatGPT: Its knowledge remains static post-training, meaning it might not capture new medical findings after its latest update.

TrialHub IQ: With its design centered around clinical research, it offers more contemporary medical details. TrialHub’s database gets updated in real-time and is double-checked by an international team of medical experts.?

What do the experts say after the first testing:

Dr. Tony Perez, a consultant for biotech and pharma companies, with 30+ years of extensive knowledge in the world of clinical development, shares his personal experiences with ChatGPT & TrialHub: “I’ve tested ChatGPT, and my interactions varied. For instance, when I inquired about the ‘overall survival in chordoma,’ the response was fair. However, for more intricate questions related to clinical trials, it sometimes fell short of my expectations.” His detailed feedback reveals both the strengths and limitations of ChatGPT in the context of clinical research.

Dr. Perez further highlighted, “For me, everything related to diseases and treatment quickly tabulated in terms of competitors, phases of development, etc. TrialHub will be of immense help. Currently, everything has to be done manually. We often find ourselves searching for a needle in a haystack.”

For clinical research needs, TrialHub IQ stands out due to its precision, traceability, and depth of vetted medical information. ChatGPT, on the other hand, with its broad knowledge base, caters to a wider audience but might not always align with the specialized needs of clinical researchers.