Automated Scientific Document Generation System

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Solution Overview

Problem

The manual generation of scientific research narratives and reports is time-consuming, error-prone, and inefficient, requiring complete reprocessing when source data is updated, and lacks automation to meet modern scientific research requirements for data storage, transformation, and presentation.

Innovation Solution

A data-driven document creation and modification system that automates the generation of narratives and reports using a computing device with data intake, configuration, extraction, and narrative generation engines, allowing for configuration of information types, updating existing narratives, and incorporating new data, enabling early narrative generation and highlighting changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual methods are used to generate scientific research narratives and reports, then researchers can create detailed descriptive documents, but the process becomes extremely time-consuming and error-prone

Engineering Contradiction:

ImproveaccuracyVSAvoidtime required

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of document generation with an automated computer-based system. The system uses software engines to automatically extract data from research databases, populate templates, and generate narratives without manual intervention, thereby eliminating time-consuming manual work while maintaining accuracy through systematic data processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service document generation where the software automatically retrieves required data from connected research databases, processes it according to predefined templates and regulations, and generates complete narratives independently. This automation allows the system to serve itself in generating documents without requiring continuous manual input from researchers

Inventive Principle:

Principle #25Self-service

2Reliability

If manual reprocessing is performed when source data is updated, then documents reflect new information, but complete redo of document generation is required which is inefficient

Engineering Contradiction:

Improvedata accuracyVSAvoidefficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system implements dynamic document generation where templates and data sources are configured to automatically respond to changes in source data. When new data is added to research databases, the system dynamically retrieves updated information and regenerates only the affected portions of narratives, rather than requiring complete reprocessing of all documents

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system performs preliminary configuration of data extraction rules, template structures, and regeneration triggers in advance. This preliminary setup enables automatic detection of data changes and initiates selective document updates without manual intervention, ensuring data accuracy is maintained while avoiding inefficient complete reprocessing

Inventive Principle:

Principle #10Preliminary action

3Productivity

If automated document generation is implemented, then time and effort are reduced, but the system complexity increases

Engineering Contradiction:

Improvedocument generation speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the automated document generation system into distinct functional modules: data extraction engines that retrieve information from databases, template engines that structure narratives, and generation engines that assemble final documents. This segmentation allows each component to perform its specific function independently, managing system complexity through modular design while maintaining high productivity

Inventive Principle:

Principle #1Segmentation

4Reliability

If complete reprocessing is done manually when data updates occur, then document accuracy is maintained, but the task becomes extremely tedious and error-prone

Engineering Contradiction:

Improvedocument accuracyVSAvoidoperational ease

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system replaces tedious manual reprocessing operations with automated computer-based execution. Software agents automatically monitor source data for changes, retrieve updated information, and regenerate documents according to predefined rules, eliminating the repetitive manual task while ensuring accuracy through consistent automated application of data extraction and template population logic

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11475212B2Systems and methods for generating and modifying documents describing scientific research

Publication Date: 2022.10.18 OTSUKA PHARMACEUTICAL DEVELOPMENT & COMMERCIALIZATION INC

AI summary

Systems and methods are disclosed for data driven document creation and modification. The systems and methods include obtaining a first dataset having data records associated with entities, obtaining a list of entities associated with a first subset of data records in the first dataset, and obtaining configuration information, wherein the configuration information includes rules for identifying logical relationships in the data records and wherein the configuration information is specified using a vector-oriented language. The systems and methods further include extracting, for each entity in the list of entities, based on the rules, data records from the first subset of data records associated with the entity and generating a document for each entity in the list of entities using the extracted data records and the configuration information.