
Deep 6 AI
Deep 6 AI accelerates clinical trials by precision-matching patients in real time, leveraging AI to optimize recruitment and enhance research outcomes.

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Useful for
- 1.What is Deep 6 AI?
- 2.Features
- 2.1.1. Precision Patient Matching
- 2.2.2. Real-Time Monitoring and Visibility
- 2.3.3. Trial Design Optimization
- 2.4.4. Site Selection
- 2.5.5. Enhanced Recruitment Strategies
- 2.6.6. Security and Compliance
- 3.Use Cases
- 3.1.1. Accelerating Clinical Trials
- 3.2.2. Enhancing Research Collaboration
- 3.3.3. Improving Patient Outcomes
- 3.4.4. Supporting Academic Medical Centers
- 3.5.5. Optimizing Protocols Based on Real-Time Data
- 4.Pricing
- 5.Comparison with Other Tools
- 5.1.1. Traditional Patient Recruitment Methods
- 5.2.2. Other AI-Powered Solutions
- 5.3.3. User Experience
- 6.FAQ
- 6.1.1. How does Deep 6 AI ensure patient data privacy?
- 6.2.2. Can Deep 6 AI be integrated with existing healthcare systems?
- 6.3.3. What types of data can Deep 6 AI analyze?
- 6.4.4. Is training required to use Deep 6 AI?
- 6.5.5. How quickly can results be expected when using Deep 6 AI?
- 6.6.6. Who can benefit from using Deep 6 AI?
What is Deep 6 AI?
Deep 6 AI is a pioneering software solution designed to enhance patient recruitment and clinical trial management through the power of artificial intelligence (AI) and natural language processing (NLP). It provides a unique approach to precision matching of patients to clinical trials by mining millions of patient records, including both structured and unstructured data. This innovative platform aims to accelerate clinical trials, reduce the time required for patient recruitment, and optimize the overall trial process, making it a valuable tool for researchers, healthcare providers, and clinical trial sponsors.
Features
Deep 6 AI offers a variety of features that set it apart from traditional patient recruitment methods. Here are some of the key features:
1. Precision Patient Matching
- Real-Time Data Mining: Deep 6 AI utilizes advanced algorithms to mine millions of patient records, including unstructured data like physician notes, pathology reports, and lab results.
- Dynamic Patient Graphs: Patients are represented as graphs, providing a holistic view that generates new clinical insights and contextualizes patient matches.
- Concept Mapping: The tool links structured data (e.g., ICD-10 codes) to unstructured data by mapping over 120 ontologies, allowing for a comprehensive understanding of patient eligibility.
2. Real-Time Monitoring and Visibility
- Enrollment Tracking: Users can monitor patient enrollment in real time, comparing milestones against baseline metrics to drive KPI-driven recruitment and enrollment.
- Easy Referrals: Physicians can easily refer patients to studies that match their qualifications, ensuring that research remains integrated into their practice.
3. Trial Design Optimization
- Protocol Adjustment: The platform allows researchers to optimize their study protocols based on real-time patient availability.
- Inclusion/Exclusion Criteria: Users can search using both inclusion and exclusion criteria, gaining insights into how these criteria affect patient totals.
4. Site Selection
- Patient Location Insights: Deep 6 AI helps researchers identify where eligible patients are located before starting a trial, streamlining the site selection process.
- Cross-Site Searching: Sponsors can search across the entire Deep 6 ecosystem with a single query, improving efficiency.
5. Enhanced Recruitment Strategies
- Partial Matches: The software can return partial matches, highlighting patients who may qualify but are missing key lab results, thus broadening the pool of potential participants.
- Targeting Underrepresented Populations: The platform enables researchers to identify and recruit patients from diverse backgrounds, enhancing the inclusivity of clinical trials.
6. Security and Compliance
- Data Security Standards: Deep 6 AI is hosted on AWS and is compliant with FHIR, HIPAA, HL7 standards, and SOC 2 Type II, ensuring that sensitive patient data is handled responsibly.
Use Cases
Deep 6 AI is applicable across various domains within the healthcare and life sciences sectors. Here are some notable use cases:
1. Accelerating Clinical Trials
Healthcare institutions can significantly reduce the time it takes to recruit patients for clinical trials. For example, a cancer center using Deep 6 AI was able to increase its patient recruitment from 7 to 314 patients in a six-month period, thus exceeding its recruitment targets.
2. Enhancing Research Collaboration
By providing a platform that integrates various stakeholders in the clinical research ecosystem, Deep 6 AI fosters collaboration between researchers, healthcare providers, and sponsors. This collaboration leads to better study outcomes and more efficient trial management.
3. Improving Patient Outcomes
With its ability to match patients more accurately and quickly to clinical trials, Deep 6 AI contributes to improved patient outcomes. By ensuring that patients receive access to novel therapies sooner, the platform plays a crucial role in advancing precision medicine.
4. Supporting Academic Medical Centers
Academic medical centers can leverage Deep 6 AI to recruit patients more effectively, as evidenced by one center that reported recruiting four times the number of patients per month compared to traditional methods. This capability allows them to participate in more studies and contribute to groundbreaking research.
5. Optimizing Protocols Based on Real-Time Data
Researchers can use the platform to adjust their trial protocols based on real-time data about patient availability and eligibility. This flexibility ensures that studies are designed with the most current information, leading to more successful outcomes.
Pricing
As of now, specific pricing details for Deep 6 AI are not publicly available. The pricing model is likely to vary based on factors such as the size of the healthcare institution, the scope of the clinical trials, and the level of customization required. Interested parties are encouraged to request a demo or contact the sales team for a tailored pricing structure that suits their needs.
Comparison with Other Tools
Deep 6 AI stands out in the competitive landscape of patient recruitment and clinical trial management tools due to its unique features and capabilities. Here’s how it compares with other solutions:
1. Traditional Patient Recruitment Methods
- Speed: Traditional methods often involve manual data validation and keyword searches, which can take months. Deep 6 AI accelerates this process to real-time matching.
- Data Utilization: Other tools may rely primarily on structured data (like ICD-10 codes), while Deep 6 AI leverages both structured and unstructured data, providing a more comprehensive view of potential candidates.
2. Other AI-Powered Solutions
- Precision: While many AI tools exist in the healthcare space, Deep 6 AI’s focus on concept mapping and dynamic patient graphs offers a more nuanced understanding of patient eligibility and context.
- Integration: Deep 6 AI integrates seamlessly across various health systems and research institutions, allowing for broader data access and collaboration compared to some standalone solutions.
3. User Experience
- Usability: The user interface of Deep 6 AI is designed for ease of use, enabling researchers and healthcare providers to navigate the system efficiently. Other tools may not prioritize user experience to the same extent, leading to longer training times and lower adoption rates.
FAQ
1. How does Deep 6 AI ensure patient data privacy?
Deep 6 AI adheres to strict security standards, including HIPAA compliance, ensuring that all patient data is handled securely and responsibly.
2. Can Deep 6 AI be integrated with existing healthcare systems?
Yes, Deep 6 AI is designed to integrate seamlessly with various health systems and research institutions, facilitating collaboration and data sharing.
3. What types of data can Deep 6 AI analyze?
The platform can analyze both structured data (such as ICD-10 codes and lab results) and unstructured data (like physician notes and pathology reports), providing a comprehensive view of patient eligibility.
4. Is training required to use Deep 6 AI?
While the platform is designed for usability, training may be beneficial to fully leverage its capabilities. Deep 6 AI typically provides support and resources to help users get started.
5. How quickly can results be expected when using Deep 6 AI?
Results can be expected in real time, significantly reducing the time required for patient recruitment and trial management compared to traditional methods.
6. Who can benefit from using Deep 6 AI?
Researchers, healthcare providers, clinical trial sponsors, and academic medical centers can all benefit from using Deep 6 AI to enhance patient recruitment and streamline clinical trial processes.
In summary, Deep 6 AI is a revolutionary tool that harnesses the power of AI and NLP to transform patient recruitment and clinical trial management. Its precision matching capabilities, real-time monitoring, and comprehensive data analysis make it a valuable asset for the healthcare and life sciences sectors. With the potential to accelerate clinical trials and improve patient outcomes, Deep 6 AI stands as a leader in the field of precision research software.
Ready to try it out?
Go to Deep 6 AI