Annotation Solutions
Healthcare Services
Expert Annotation is the Remedy for Creating High-Quality Training Data for AI
Securely & Efficiently Label Your Most Vital & Sensitive Data
The lack of clean, accurate, quality data presents a serious challenge for AI platforms, limiting their ability to provide the “right data” to answer specific questions. This challenge is compounded in the healthcare industry as the annotated data needs to be highly accurate. Even the slightest errors could pose serious health and safety risks.
That’s why Innodata employs subject matter experts across a diverse range of medical and healthcare areas to deliver high-quality annotated datasets to train your machine learning models. From physicians and nurses to physiotherapists and pharmacists, our accredited medical experts have deep knowledge and expertise in interpreting and annotating data across a variety of medical literature and documents.
Diverse
We have annotated data for a variety of medical and healthcare documents, including medical journal articles, drug-related literature, drug labels, and hospital records.
Secure
Stringent security protocols in place ensure the security and privacy of your data. We are certified to handle the most sensitive and highly regulated data.
Accurate
Our workflows and easy-to-use tools, coupled with process control techniques, have been developed over 30 years building the world’s highest quality data products.
Knowledgable
Our experts have advanced degrees in relevant medical and healthcare fields and we utilize tested certification and accreditation procedures to ensure the capability of our experts.
Efficient
With access to an on-demand team, we can process and annotate your data within your set time frame at a large scale.
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Data Annotation Services to Help Enhance Key Initiatives
Innodata provides data annotation and labeling services to meet a variety of needs within the healthcare services industry:
Medical Reference
Find diseases, drugs, and medical devices in medical records, medical literature and other health information texts.
Entity & Relationship Identification
Identify links between named entities in a document, such as between drugs and diseases.
Drug Database Maintenance
Extract and annotate information from drug-related literature targeted to the specific needs of end-user pharmaceutical companies.
EHR Data Extraction
Using OCR Technology, extract important information from imaged medical documents
Diagnostic Assistance
Annotate medical images and data to produce training data for your smart diagnostic assistants.
Customer Service
Train your chatbots or virtual assistants to better understand intent and utterances to enhance patient experience.
Deep Expertise Across Diverse Documents & Data Formats
Our teams annotate data from all types of medical and healthcare documents – no matter how complex
Healthcare Records
APS | Medical Notes | Medical Charts | Medical Images
Pharma Documents
New Drug Approvals | Drug Labels
Medical Literature
Research Articles | Conference Proceedings | Books
Other Literature types
Patient Education | Websites | Company Literature
Scale Your AI Efforts with a Healthy Dose of Training Data
Healthcare Annotation success Stories
We help some of the world’s leading healthcare institutions and medical data providers solve their toughest data challenges.
Medical SMEs Annotate Complex Research Documents
Pharmacovigilance platform used by global pharma companies needed labelled datasets to train AI models for adverse drug reaction detection in scientific literature.
Bio-Medical and Chemistry SMEs Annotate Global Patent Data
Innodata partnered with a leading patent analytics provider to create labeled data from global patents in multiple languages.
Annotating Drugs, Diseases and Medical Devices in Scientific Literature
Leading Data Provider Requires Annotated Data for Medical Database