AI Powered Clinical Document Analysis for Healthcare Industry

Business Impact

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Manual document verification is a time-consuming and tedious process as documents come in various formats and file types.

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Document analysis is not limited to particular industrial sectors, a flood of documents is prepared and used be it clinical, environmental, manufacturing, or construction.

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As in Clinical research, documentations need to be more accurate as it can be used for medical treatments, tests, and research trials.

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For instance, getting approval for Medical Trial or Study involves the preparation of a Protocol document and varied supporting documents for the review board.

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Currently, reviewing documents for accuracy and completeness is a manual, time-consuming, and potentially error-prone process due to medical terminologies mismatch and conceptual variance

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OptiSol teamed up with the clinical research company in developing an NLP-based Document analysis solution that can verify multiple documents with accuracy and faster verification.

Technology Stack

Solution Overview

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Built a custom NLP pipeline to parse different documents involved in a study like Protocol documents, Consent forms, etc.

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Defined and followed a universal structure for documents to ease interpretation by NLP packages.

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Designed a dashboard to upload the documents for the automated compare and review the results.

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Extracted relevant sections of the different documents. Example: adverse symptoms section of protocol document and that of consent form, then performed syntactic and semantic analysis to compare them and reported if they match and if they have same entities, noun and verb phrases.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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