AI Powered Clinical Document Analysis for Healthcare Industry

Business Challenge

Time constraints: Manually reviewing and verifying large amounts of medical documents can be time-consuming and may delay the completion of the research project.

Human error: The manual verification process is prone to errors, such as missed or misinterpreted information, which can affect the accuracy and integrity of the research data.

Cost: Manually reviewing and verifying large amounts of medical documents can be costly in terms of labor and resources.

Lack of standardization: Different medical documents may use different terminology, making it difficult for the team to consistently understand and verify the information.

Data privacy and security: The manual verification process may increase the risk of data breaches and violations of patient privacy.

Lack of scalability: Manually verifying multiple documents with medical terminologies may not be scalable as the amount of data increases.

Solution Overview

Document analysis is not limited to specific industries; a large number of documents are created and used in various fields such as clinical research, environmental studies, manufacturing, and construction.

In clinical research, documents must be highly accurate as they may be used for medical treatments, tests, and research trials.

For example, obtaining approval for a medical trial or study involves preparing a protocol document and various supporting documents for review by a board.

OptiSol partnered with a clinical research company to develop an NLP-based document analysis solution that can verify multiple documents quickly and with high accuracy.

The solution includes a custom NLP pipeline to parse different documents used in a study, such as protocol documents and consent forms, and follows a universal structure to ease interpretation by NLP packages.

The system extracts relevant sections of different documents, such as the adverse symptoms section of a protocol document and a consent form, and performs syntactic and semantic analysis to compare them and report if they match, and if they have the same entities, nouns and verb phrases.

Business Impact

Increased efficiency: Increases efficiency by reducing the time and resources required to manually verify documents.

Improved accuracy: Improves the accuracy of the verification process by reducing human error and standardizes the interpretation of medical terminologies.

Reduced costs: Reduces costs by minimizing the need for manual labor and minimizing the time required to complete the verification process.

Scalability: More scalable than manual verification, making it easier to handle a large number of documents or research studies.

Improved data quality: Ensures the quality and consistency of data, which is crucial for accurate analysis and decision-making.

Speed up the process: Speeds up the process of verification and reduces the time needed to complete the research, which can lead to faster time to market for the results.

Technology Stack

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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