Three Reasons Deep 6 AI is a Must Have for Clinical Trials
Medicine is constantly changing, but clinical research operations are not progressing as quickly. Right now, there’s a huge disconnect between how research operates and the technology available.
Many hospitals and academic medical centers still use tools that rely heavily on manual processes or slow, inefficient workflows. There may be hesitation to invest in new technologies because of a fear of shaking up the status quo. Yet, while many companies claim to fit the bill of what research staff needs to complete the operation, they fall short of delivering results.
We’re proud to be a leader in precision research and considered a necessity for sites that want to reach patient recruitment goals, attract more sponsors, and become high-performing research centers, therefore getting life-saving cures to patients faster.
Three Reasons We Stand Apart from Others
1. We Process Unstructured Data
As industry leaders, we have the unrivaled capability to work with a variety of data from differing sources. For instance, 80% of all medical data is unstructured, such as physician notes, imaging reports, PDFs and other scattered files. Our software reads unstructured data in a site’s electronic medical records, as well as the more easily readable structured data.
Structured data is much simpler to search through as it is coded to follow a consistent format with standardized selections, such as ICD-10 codes or demographics like age or weight. In unstructured data, there is more variation, and it can exist in infinite configurations. For example, when meeting with patients, physicians typically jot down free-text notes in a patient’s record. These notes don’t follow a specific structure and vary from physician to physician. One hospital may standardize a certain abbreviation for a medical condition in a way that differs from another hospital. Our software picks up and understands all the variations and structures.
2. We Speed Up the Process
Other tools only allow users to sort through structured data fields, leaving unstructured data up to manual review by the user. This drastically slows down the process, forcing them to go through patient charts one-by-one, and jump between different data sources.
Users must compare all that scattered data to the trial’s inclusion and exclusion criteria, which is often a lengthy list. This entire process with outdated tools can take a researcher months to fill out a trial with matching patients. In fact, the biggest cause for a failed trial is the inability to meet recruitment goals, and it’s usually because a site doesn’t know how to find patients. This is also problematic because failed trials are expensive, which hurts the research budget. Our software sorts through unstructured and structured data to find the right patients in minutes.
Our ecosystem of sites and sponsors also streamlines the entire process, from preparing to launch a trial to its conclusion. Our platform helps facilitate regular communication between all research stakeholders. With over 25 million patients, the Deep 6 ecosystem makes it easy to ensure successful patient recruitment and site selection, along with aiding in the collaborative process from start to finish.
3. Our Purpose-Built Natural Language Processing
Artificial intelligence concepts like natural language processing (NLP) and machine learning make it possible for software to interpret unstructured data for researchers. Our platform excels at NLP and was built for the specific purpose of pulling data from medical information. Users then receive a tool that consolidates all the medical information from different data sources in one user interface that allows them to search their entire patient database, and in minutes returns a list of potential trial participants.
All that’s left? Validate the patient matches and recruit those patients to your study. Our platform simplifies the validation process due to our direct EMR integration that eliminates the need to toggle between systems.
Do you want to learn more about our software and how it can improve your clinical trials? Reach out to us here.
Nour Malki, Communications and Content Specialist