Enhance medical accuracy with text analytics

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.

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.

What our Clients say

"They are very responsive and able to shift focus quickly as we have needed it for business reasons."

"They [OptiSol Business Solutions] have been very friendly and they kept up with the work. They did the job as we had discussed and as everything was arranged."

“I can't speak enough about how pleased I am with their process; it was seamless and efficient.”

"What impressed me the most was their willingness to go above and beyond what was asked."

"We're constantly impressed with their speed and quality of the development that they achieve on a consistent basis."

The best part about working with OptiSol Business Solutions is their commitment to being readily available to their partners. They’re even willing to work into late hours of the night depending on time differences. The solution they produced has already doubled efficiency levels.

Enhance medical accuracy with text analytics

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.

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

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.

What our Clients say

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