Beyond the Buzz: Real AI Applications Actually In Use at Clinical Research Sites

Artificial Intelligence (AI) has become quite the buzzword, synonymous with "revolutionary potential" across various sectors, clinical research included. Yet, despite its celebrated potential, there remains a palpable skepticism. For example, potential end-users often point to AI's 'hallucinations' (instances where AI deviates from expected outputs) as a source of hesitation — especially when interacting with more open, casual contexts like chatting with models such as ChatGPT. This skepticism stems from a fear that AI is not yet mature enough for critical use cases in applications like clinical research, where high performance is paramount.

AI, despite its latest PR craze, isn't a newcomer in clinical research. It's been the backbone of numerous systems, silently running complex data analyses and automations for years. Today’s new age of AI, due to the advent of Large Language Models (LLMs), has caused hype because of the evolved capability to perform tasks more dynamically and cost-effectively than ever before. These models can comprehend complex, nuanced natural language and excel in logical processing and inference without the need for traditional mapping. LLMs can also generate text, synthesize information, and propose solutions. 

It's crucial for end-users to shift their perspective on AI technology. AI should not be seen as a replacement for clinical research coordinators or other essential personnel. Instead, it's an augmentative tool that empowers research sites and their teams to accomplish more.

Specialization and Precision in AI Applications

While general AI can sometimes appear unpredictable, the power of AI in clinical research lies in its specialization. AI can be meticulously fine-tuned and tailored for specific tasks within site workflows. Beyond model training, proper implementation strategies also play a pivotal role in the success of AI in clinical environments:

• Data Encryption: Ensuring that all data, both at rest and in transit, is encrypted to safeguard patient information and maintain HIPAA 

• Redundancy Systems: Implementing multiple layers of redundancy to verify AI findings and compare results across models. 

• User Interface Design: Developing intuitive interfaces that allow clinical staff to interact with AI within their existing workflow.

AI in Action

Let's demystify AI's role in clinical research by spotlighting some real-world applications currently in use

1. AI Chart Review: This tool dramatically changes how medical records are reviewed. Traditionally a labor-intensive process, AI Chart Review can analyze patient documents – from medical records to handwritten pre-screen intake forms –in seconds, identifying suitable clinical trials with detailed eligibility reports. This analysis mirrors the insight a Principal Investigator would offer, significantly curtailing screen failures and inefficiencies.

2. EMR Scout: This AI application screens through extensive EMR databases to pinpoint potential trial candidates based on detailed inclusion/exclusion criteria. Imagine being able to query a patient database to simultaneously search across multiple parameters associated to the eligibility criteria, processing both coded and unstructured data. Sites are now uncovering a new source of tangible prospects—previously hidden within the vast data of their PI’s EMRs - thereby significantly boosting enrollment rates and operational efficiency. 

3. Consent Form Checker: Incorrectly filled consent forms are a frequent issue flagged during audits. This AI tool ensures forms are correctly filled, compliant, and automatically logged and organized, enhancing regulatory adherence and audit readiness. e-Consent forms also mitigate common errors, but paper consent forms remain prevalent due to their ease of use and flexibility. The new era of AI enables the robust quality control capability of checking all document formats, including handwritten paper forms.

Quri: Your AI Engineering Partner in Clinical Research

At Quri, it's our mission to tailor AI solutions to meet the specific needs of clinical research sites. With a team of dedicated PhD-level engineers, we’re committed to pushing the boundaries of what AI can achieve in clinical research. Whether you’re looking to implement existing solutions or explore new applications, Quri stands ready as your partner in innovation.