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Description
Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.
Description
PicnicHealth serves as a bridge between patients and researchers, providing comprehensive and purpose-driven real-world data. By engaging with patients who willingly share their medical information for research purposes, we can create an extensive understanding of patient health that encompasses all their healthcare providers, rather than being limited to a single site or specialist. Our established patient communities and efficient recruitment methods through various direct-to-patient channels make it simple to assemble the right cohort of patients. In just ten minutes, patients can register and give consent, gaining access to their own medical records. If you currently have patients involved in ongoing registries or clinical trials, consider directing them to PicnicHealth for streamlined setup. Our research platform is designed to offer tailored real-world data at the individual patient level, allowing for precise specifications regarding the data elements to be extracted from medical records, such as doctors' notes and narrative text. This innovative, patient-focused approach not only enhances the data we gather but also encourages patients to play an active role in the research process. Ultimately, we believe that empowering patients in this way fosters a deeper understanding of health outcomes and improves the overall quality of research.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
AWS App Mesh
Amazon Comprehend
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/comprehend/medical/
Vendor Details
Company Name
PicnicHealth
Founded
2014
Country
United States
Website
picnichealth.com/research-platform
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning