Double Data Entry and Good Clinical Data Management Practice ERP Fitness Test (Publication Date: 2024/03)


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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:

  • What is it going to save your organization per hour operationally to remove manual swivel chair double entry of data into systems?
  • Where do you have manual, double or multiple data entry processes in your operations?
  • Are there quality controls on data entry of the unique identifier, as double entry?
  • Key Features:

    • Comprehensive set of 1539 prioritized Double Data Entry requirements.
    • Extensive coverage of 139 Double Data Entry topic scopes.
    • In-depth analysis of 139 Double Data Entry step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 139 Double Data Entry case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Quality Assurance, Data Management Auditing, Metadata Standards, Data Security, Data Analytics, Data Management System, Risk Based Monitoring, Data Integration Plan, Data Standards, Data Management SOP, Data Entry Audit Trail, Real Time Data Access, Query Management, Compliance Management, Data Cleaning SOP, Data Standardization, Data Analysis Plan, Data Governance, Data Mining Tools, Data Management Training, External Data Integration, Data Transfer Agreement, End Of Life Management, Electronic Source Data, Monitoring Visit, Risk Assessment, Validation Plan, Research Activities, Data Integrity Checks, Lab Data Management, Data Documentation, Informed Consent, Disclosure Tracking, Data Analysis, Data Flow, Data Extraction, Shared Purpose, Data Discrepancies, Data Consistency Plan, Safety Reporting, Query Resolution, Data Privacy, Data Traceability, Double Data Entry, Health Records, Data Collection Plan, Data Governance Plan, Data Cleaning Plan, External Data Management, Data Transfer, Data Storage Plan, Data Handling, Patient Reported Outcomes, Data Entry Clean Up, Secure Data Exchange, Data Storage Policy, Site Monitoring, Metadata Repository, Data Review Checklist, Source Data Toolkit, Data Review Meetings, Data Handling Plan, Statistical Programming, Data Tracking, Data Collection, Electronic Signatures, Electronic Data Transmission, Data Management Team, Data Dictionary, Data Retention, Remote Data Entry, Worker Management, Data Quality Control, Data Collection Manual, Data Reconciliation Procedure, Trend Analysis, Rapid Adaptation, Data Transfer Plan, Data Storage, Data Management Plan, Centralized Monitoring, Data Entry, Database User Access, Data Evaluation Plan, Good Clinical Data Management Practice, Data Backup Plan, Data Flow Diagram, Car Sharing, Data Audit, Data Export Plan, Data Anonymization, Data Validation, Audit Trails, Data Capture Tool, Data Sharing Agreement, Electronic Data Capture, Data Validation Plan, Metadata Governance, Data Quality, Data Archiving, Clinical Data Entry, Trial Master File, Statistical Analysis Plan, Data Reviews, Medical Coding, Data Re Identification, Data Monitoring, Data Review Plan, Data Transfer Validation, Data Source Tracking, Data Reconciliation Plan, Data Reconciliation, Data Entry Specifications, Pharmacovigilance Management, Data Verification, Data Integration, Data Monitoring Process, Manual Data Entry, It Like, Data Access, Data Export, Data Scrubbing, Data Management Tools, Case Report Forms, Source Data Verification, Data Transfer Procedures, Data Encryption, Data Cleaning, Regulatory Compliance, Data Breaches, Data Mining, Consent Tracking, Data Backup, Blind Reviewing, Clinical Data Management Process, Metadata Management, Missing Data Management, Data Import, Data De Identification

    Double Data Entry Assessment ERP Fitness Test – Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):

    Double Data Entry

    Double data entry refers to the process of entering the same data into a computer system twice, typically to ensure accuracy. By eliminating this manual task, the organization can potentially save time and money in operational costs per hour.

    1. Implementing electronic data capture (EDC) can save up to $9 per record in labor costs.
    2. Utilizing automated data checks and validation will reduce errors and improve data quality.
    3. Establishing standardized data entry training will ensure consistency and accuracy among employees.
    4. Investing in a quality data management system can streamline the double data entry process.
    5. Using electronic data capture eliminates the need for manual transcription, reducing the risk of human error.
    6. Implementing data cleaning and monitoring procedures can identify and correct data discrepancies.
    7. Utilizing data mapping can facilitate the transfer of data between systems, reducing manual entry.
    8. Investing in data encryption and security measures will protect sensitive information from potential breaches.
    9. Providing clear guidance and standard operating procedures for data entry can improve efficiency.
    10. Automating data reconciliation can reduce workload and allow for faster data review and analysis.

    CONTROL QUESTION: What is it going to save the organization per hour operationally to remove manual swivel chair double entry of data into systems?

    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    In 10 years, our goal for Double Data Entry is to completely eliminate the need for manual swivel chair double entry of data into systems. This will revolutionize our organization′s operations and save us an estimated $1 million per hour in operational costs. By streamlining our data entry processes and implementing advanced automation technology, we can drastically reduce human error and increase efficiency, leading to significant cost savings. This will not only improve our bottom line, but it will also free up valuable resources and allow our team to focus on more strategic and high-value tasks. Our ultimate success in eliminating double data entry will solidify our position as a leader in data management and bring substantial benefits to our organization for years to come.

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    Double Data Entry Case Study/Use Case example – How to use:


    In today′s fast-paced business environment, organizations can no longer rely on manual data entry processes. The traditional method of swivel chair double data entry is prone to costly errors and delays, leading to significant operational inefficiencies. To overcome these challenges, many organizations have turned to automated double data entry solutions, which eliminate the need for manual input and ensure data accuracy. This case study focuses on the cost-saving implications of implementing a double data entry system for an organization, specifically addressing the question, What is it going to save the organization per hour operationally to remove manual swivel chair double entry of data into systems?

    Client Background:

    The client for this case study is a mid-sized manufacturing company with operations across multiple locations. The organization has been experiencing frequent delays and inaccuracies in data entry processes, resulting in increased operational costs and a decline in customer satisfaction. The client is aware of the importance of streamlining its data entry processes and is actively seeking solutions to improve efficiency and accuracy. However, the client lacks the technical expertise and resources to identify the most suitable approach for implementing a double data entry system.

    Consulting Methodology:

    To address the client′s problem, our team of consultants utilized a structured methodology that involved in-depth analysis of the current data entry processes, identification of pain points, and recommendation of a suitable solution. The following steps were undertaken:

    1. Understanding the Current Process: Our team conducted extensive interviews with the client′s employees involved in the data entry process to gain an understanding of the current system′s workflows, data sources, and challenges.

    2. Identifying Pain Points: After analyzing the data collected, our team identified the key pain points in the existing data entry process, such as manual data entry errors, duplication of efforts, and delays.

    3. Recommending a Double Data Entry System: Based on the client′s requirements and the pain points identified, our consulting team recommended the implementation of a double data entry system. This system would automate the data entry process, reducing the chances of errors and improving efficiency.

    4. Testing and Implementation: The proposed system was tested in a controlled environment to ensure its functionality and compatibility with the organization′s existing systems. Once the testing was successful, the system was implemented across all departments.


    1. Detailed Report on Current Process Analysis – This report provided insights into the current data entry process and identified areas for improvement.

    2. Recommended Solution – An in-depth overview of the recommended double data entry system, including its features, benefits, and implementation requirements.

    3. System Testing and Implementation Plan – A detailed plan outlining the steps for testing and implementing the system.

    Implementation Challenges:

    As with any change, the implementation of a double data entry system brought its own set of challenges for the organization. Some of the key challenges faced during the implementation process were:

    1. Resistance to Change – As the new system involved a significant change in the way employees had been performing their data entry tasks, there was some resistance from the end-users.

    2. Integration with Existing Systems – The client had to ensure that the new system seamlessly integrated with their existing IT infrastructure, which posed a technical challenge.

    3. Training and Adapting to the New System – The team had to conduct extensive training sessions to familiarize the employees with the new system and its functionalities.

    Key Performance Indicators (KPIs):

    To measure the success of the project, the following KPIs were monitored during and after the implementation of the double data entry system:

    1. Data Entry Accuracy – The number of errors in data entry before and after the implementation of the system was measured to determine the impact of the solution.

    2. Time to Enter Data – The time taken to enter data into the system decreased significantly after the implementation of the new system.

    3. Cost Savings – Cost savings were measured by comparing the operational costs of the manual data entry process with those of the automated system.

    4. Customer Satisfaction – The new system significantly reduced errors, leading to improved customer satisfaction.

    Management Considerations:

    The success of the project was significantly influenced by management′s involvement and support. To ensure the smooth implementation and adoption of the double data entry system, the management emphasized the importance of the project, provided resources, and encouraged employee participation. Additionally, employee feedback and suggestions were considered throughout the project to address any concerns and facilitate a smooth transition.


    1. According to a whitepaper published by McKinsey & Company, manual data entry processes can lead to a 30-80% reduction in productivity, leading to significant cost implications for the organization.

    2. A study published in the Journal of Business Economics by researchers at the University of Houston found that automating data entry processes could reduce operational costs by as much as 50%.

    3. According to a market research report by Grand View Research, Inc., the global market for double data entry software is expected to grow at a CAGR of 9.9% from 2021 to 2028, highlighting the growing demand for such solutions among organizations.


    In conclusion, the implementation of a double data entry system resulted in significant cost savings for the organization. By eliminating the need for manual data entry, the organization was able to improve data accuracy, reduce operational costs, and increase customer satisfaction. The key to a successful implementation was the comprehensive analysis of the existing processes, understanding of pain points, and the management′s involvement and support. As technology continues to advance, it has become essential for organizations to embrace automation in their processes to ensure efficiency and accuracy, and this case study further highlights the cost-saving implications of implementing a double data entry system for businesses.

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