Real World Data
Healthcare Medical Clinical NLP
Streamline unstructured data to overcome everyday challenges. Simplify data analysis, derive greater insights, and deliver personalized care to patients with healthcare NLP.
Trusted By
Who We Are
Next-gen Healthcare AI
Over 80% of valuable healthcare information is trapped in unstructured text, making it difficult to access. Manual review of patient records is inefficient, costly, and time-consuming.
Uses Natural Language Processing (NLP) to understand medical data. It’s built on a large language model that’s been fine-tuned on a vast amount of real-world health data. This allows for high precision and speed in processing complex healthcare data. It provides an enhanced platform for custom model training, leading to improved outcomes, operational efficiency, and data security.
- Large Language Model in Healthcare
- Enhanced Annotation Services
- Cloud Independence & On-Premise Hosting
- Fixed Pricing, Unlimited Processing
- Custom Model Training
Solutions
Advancing Healthcare Innovation
We create custom clinical NLP solutions tailored to your needs. Our technology includes NER, OCR, Generative AI, and Data De-identification. We empower healthcare providers to unlock the full potential of their medical data.
Named Entity Recognition (NER) in healthcare detects and categorizes entities like patient names, medical terms, and various terminologies from unstructured text.
OCR scans and converts printed and handwritten documents like patient forms, doctor’s notes, prescription labels, lab results, medical histories, imaging reports, etc., into digital data.
Generative AI transforms healthcare with accurate, scalable solutions. It enhances decision-making, personalizes treatments, and improves patient care. Key use cases include Q&A, summarization, synthetic data, research acceleration, and patient cohort building.
De-identify structured and unstructured data, documents, PDFs, and images to comply with regulations like HIPAA and GDPR. Our technology protects sensitive information while allowing valuable data analysis.
Custom APIs
Empower Your Healthcare Solutions
At HealthcareNLP, we go beyond offering pre-built APIs and solutions. We understand that every healthcare organization has unique requirements and specialized use cases. To cater to your specific needs, we are delighted to introduce our Custom APIs, a comprehensive and flexible offering that empowers you to harness the full potential of our platform and expertise.
LLM
With our vast repository of 30 million real patient charts, you gain access to a rich and diverse dataset that serves as a solid foundation for training your custom models. Our deidentified and dummy information ensures compliance with data privacy regulations while providing you with the realism and complexity of real-world healthcare data. Utilize this invaluable resource to enhance the accuracy and performance of your applications.
HealthcareNLP’s annotation services have been refined and optimized through continuous improvement, leveraging the power of advanced models built on top of our LLM. Our team of experts ensures precise and comprehensive annotations for medical texts, enabling you to extract critical information with unmatched accuracy. Whether it’s medical conditions, treatments, procedures, or any other entity, our annotation services deliver exceptional results.
LLM
Our Large Language Model (LLM) serves as the backbone of our platform, providing state-of-the-art natural language processing capabilities. By integrating our LLM into your custom APIs, you can access advanced language understanding, entity recognition, and relationship extraction features. The power of LLM empowers your applications to comprehend complex medical texts with ease, revolutionizing how you handle healthcare data.
Our team of domain experts and NLP specialists brings a wealth of knowledge and experience in the healthcare domain. With our guidance, you can create specialized models tailored to your specific use cases. Whether it’s disease prediction, medical coding, adverse event detection, or any other healthcare application, our expertise ensures that your models are accurate, reliable, and deliver actionable insights.
The possibilities are limitless with our Custom APIs. Harness our real-world dataset, annotation services, LLM, and domain expertise to unlock new dimensions of innovation in healthcare NLP. Create custom use cases that cater to your organization’s unique needs and gain a competitive edge in the ever-evolving healthcare landscape.
Experience the freedom to create tailor-made healthcare solutions with HealthcareNLP’s Custom APIs. Collaborate with our team to design applications that address your specific challenges and achieve your healthcare objectives. Unleash the true potential of healthcare NLP and elevate your organization’s capabilities to new heights. Embrace customization and reimagine healthcare with us!
PHI Entity Recognition API Benchmarking
To benchmark the Shaip API against the AWS API, precision, recall, and F-measure metrics were calculated, providing valuable insights into the performance of both systems.
| Key Metrics | Recall Metrics | Precision Metrics | F1 Score Metrics | |||
| Shaip | Amazon | Shaip | Amazon | Shaip | Amazon | |
| Overall | 99.30% | 85.79% | 99.09% | 90.21% | 99.19% | 88.51% |
| Telephone | 92.00% | 73.68% | 95.83% | 8.05% | 93.88% | 14.51% |
| Season | 100.00% | - | 66.67% | - | 80.00% | - |
| Room No. | 96.30% | - | 92.86% | - | 94.55% | - |
| Person Name | 99.51% | 89.10% | 99.19% | 91.42% | 99.35% | 90.25% |
| Organization | 64.71% | - | 78.57% | - | 70.97% | - |
| Location | 84.95% | 72.37% | 89.27% | 67.32% | 87.05% | 69.75% |
| Hospital | 93.70% | - | 94.07% | - | 93.89% | - |
| ID | 99.34% | 63.66% | 99.01% | 80.11% | 99.17% | 70.94% |
| Date | 99.95% | 86.33% | 99.92% | 93.55% | 99.93% | 89.79% |
| Age | 98.52% | 72.78% | 93.78% | 72.35% | 96.09% | 72.57% |
Case Studies
Licensing, De-identification, & Annotation
The client, a prominent healthcare entity, needed a NLP system to handle a large amount of oncology records. This case study details our work in improving the client’s research through precise data annotation, strict de-identification, & NLP, all in compliance with HIPAA regulations.