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.

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

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(NASDAQ: INOD) Innodata is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of over 3,000 subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of digital data and ubiquitous AI.

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  • 55 Challenger Road, Suite 202 Ridgefield Park, New Jersey 07660
  • 201-371-8000
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