DeepCura API Clinical Value Addition

At DeepCura, we leverage our vast experience and domain-specific knowledge to enhance the effectiveness of the OpenAI API and other AI engines in the clinical space. Our API provides a seamless integration that adds clinical value through our unique approach to prompt engineering, data management, and optimization for patient encounters.

This guide will walk you through the core aspects of how DeepCura brings value to developers working with clinical data by focusing on three key elements: clinical prompt engineering, managing longitudinal patient encounters, and optimizing token-based API workflows.

Added Value # 1: Clinical Prompt Engineering

DeepCura's first key differentiator lies in our mastery of clinical prompt engineering. We've spent countless hours working closely with doctors from a variety of specialties to fine-tune the prompts we send to AI models. This collaboration has allowed us to create a set of guidelines that helps avoid common pitfalls, such as clinical hallucinations—errors that occur when AI generates plausible but incorrect or nonsensical content.

Through trial and error, we’ve developed methods for structuring prompts that allow AI engines like OpenAI and Claude to perform significantly better in clinical settings. This meticulous attention to detail ensures that the prompts we use are clear, well-categorized, and clean, resulting in more reliable outputs.

Added Value # 2: Longitudinal Context Management

One of the more complex aspects of healthcare data is managing patient information across multiple encounters. This challenge involves maintaining a cohesive structure of a patient's medical history, even as new data is added from various sources.

DeepCura excels in orchestrating the clinical content from these multiple encounters in a way that makes sense both for the AI engine and the medical professionals reviewing the output. Our system categorizes, organizes, and structures patient data longitudinally, so that the AI understands the historical context of each new input. This prevents information fragmentation and ensures continuity in patient care.

Added Value # 3: Optimizing Token-Based API Workflows

Working with AI APIs, like OpenAI, comes with technical limitations—most notably the token limits, which can range from 4,000 to 16,000 tokens per request. Managing this within the clinical domain, where encounters can be lengthy and complex, requires advanced strategies.

DeepCura’s solution involves orchestrating multiple API calls within a single patient note or encounter. We categorize and clean the data before passing it to the API, ensuring that each request maximizes token efficiency. After the data is processed, we reassemble the information in a coherent and clinically meaningful way. This ensures the final output remains consistent and informative, no matter how complex the original input.

Added Value # 4: Enhanced Output and Real-Time Feedback

DeepCura’s system isn’t just about making AI engines work better; it’s about improving the clinical output. By incorporating feedback loops from Chief Medical Officers (CMOs) and clinical managers within client organizations, we continuously fine-tune the API to meet the specific needs of medical professionals. This dynamic process results in a noticeable improvement in performance, accuracy, and relevance of the AI-generated content.

Through our constant collaboration with healthcare experts, we ensure that our API outputs are not just technically accurate but also aligned with clinical best practices. This continuous feedback cycle further elevates the overall quality of the AI interaction.

Added Value # 5: Performance, Speed, and Cost Efficiency

A significant added benefit of using DeepCura’s API is the speed and efficiency of the system. With our highly optimized prompt engineering and data handling processes, developers can experience faster response times and more accurate results.

Additionally, DeepCura has secured a grant from Microsoft, allowing us to pass on cost savings to our users. This means not only do you get a more reliable and powerful API, but you also benefit from reduced costs, making it an attractive option for scaling your clinical applications.

Added Value # 6: Why DeepCura is the Choice for Developers

DeepCura's API brings more than just integration with OpenAI and Claude. Our orchestration of multiple API calls, combined with the unique clinical insights we embed in every interaction, sets us apart from standard AI services.

• Improved Accuracy: Our deep understanding of clinical workflows ensures that the outputs are not only accurate but contextually relevant.
• Optimized Token Management: We efficiently manage token limitations, orchestrating multiple API calls when necessary to provide a seamless and complete output.
• Cost Savings: Thanks to our partnerships and a grant from Microsoft, we offer a more affordable solution while maintaining top-tier performance.
• Collaborative Feedback Loop: By integrating real-time feedback from medical professionals, we continuously refine and improve the API, ensuring that it remains cutting-edge.

This combination of technical precision, clinical understanding, and cost efficiency makes DeepCura the perfect partner for developers building applications in the healthcare sector.

Conclusion

By integrating DeepCura into your AI-driven healthcare solution, you leverage the best of both worlds: the raw power of AI engines like OpenAI, and the finely tuned clinical expertise we’ve embedded into our API. Whether you're building applications for patient management, clinical decision support, or other healthcare domains, DeepCura’s API offers a significant edge in performance, accuracy, and efficiency.

Ready to elevate your AI application? Explore our full documentation and get started with DeepCura's API today.