Data Quality Assurance Module 3 Site Assessment Of Data Quality
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Data Quality Assurance Module 3 Site Assessment Of Data Quality
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2023-01-17
Data Quality Assurance Module 3 Site Assessment Of Data Quality written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with Medical categories.
This publication is one of the three module toolkit and provide technical guidance and tools to support the work on strengthening data quality in countries. This is part of the Division of Data, Analytics and Delivery for Impact’s scope of work providing normative guidance for health information system strengthening.
Data Quality Assurance Module 1 Framework And Metrics
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2023-02-14
Data Quality Assurance Module 1 Framework And Metrics written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with Medical categories.
Data Quality Assurance Module 2 Discrete Desk Review Of Data Quality
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2023-01-17
Data Quality Assurance Module 2 Discrete Desk Review Of Data Quality written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with Medical categories.
This publication is one of the three module toolkit and provide technical guidance and tools to support the work on strengthening data quality in countries. This is part of the Division of Data and Delivery for Impact's scope of work providing normative guidance for health information system strengthening.
Toolkit For Analysis And Use Of Routine Health Facility Data
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2023-04-21
Toolkit For Analysis And Use Of Routine Health Facility Data written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-21 with Medical categories.
Analysis And Use Of Health Facility Data Guidance For Maternal Newborn Child And Adolescent Health Programme Managers
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2023-11-08
Analysis And Use Of Health Facility Data Guidance For Maternal Newborn Child And Adolescent Health Programme Managers written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-08 with Medical categories.
This guidance describes a catalogue of indicators for maternal, newborn, child, and adolescent health (MNCAH) that can be monitored through health management information system data. It is a module of the WHO Toolkit for Routine Health Information Systems (RHIS) Data and links to relevant indicators from other programmatic modules of the WHO toolkit. The document provides guidance on possible analysis and visualization of the indicators, including considerations for interpreting and using the data for decisionmaking. An annex on data quality considerations for MNCAH managers provides suggestions for reviewing and interpreting routine health facility data through a quality lens. Accompanying this guidance are a series of presentations and exercises, including a facilitator guide, that can be used in workshops to strengthen capacity of analysis, interpretation, and use of data by MNCAH managers. The target audience for the guidance and accompanying materials are ministry of health staff working on MNCAH programmes and monitoring and evaluation activities at national and subnational levels; health workers; and partner organizations involved in supporting MNCAH programmes and monitoring. This text will be submitted to Language Services for translation whenever a publication is requested for translation and also provided to WHO Press at the same time as the translation.
Consolidated Guidance On Tuberculosis Data Generation And Use Module 1 Tuberculosis Surveillance
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2024-04-29
Consolidated Guidance On Tuberculosis Data Generation And Use Module 1 Tuberculosis Surveillance written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Medical categories.
Since 1995, WHO has ensured a consistent approach to national, regional and global TB surveillance by providing standardized definitions, forms and registers for the recording and reporting of individual-level and aggregated data about people diagnosed with and treated for TB, which are used worldwide. This standardization has facilitated the regular reporting of TB data to WHO from 215 countries and areas in annual rounds of global TB data collection, with findings published in an annual WHO global TB report since 1997 and data made publicly available via the online WHO global TB database. The goal of this 2024 edition of WHO guidance on TB surveillance (following the last major update published in 2013) is to ensure the continued worldwide standardization of TB surveillance, in the context of the WHO End TB Strategy, the latest WHO guidelines on TB screening, prevention, diagnosis and treatment, and commitments made at the 2023 UN high-level meeting on TB, while also promoting the establishment or strengthening of digital, case-based TB surveillance that is integrated within the overall public health architecture. This 2024 edition provides a comprehensive and consolidated package, bringing together both updated guidance as well as (within web annexes) closely related WHO products, tools and documentation related to TB surveillance. The web annexes (and associated links to them) are listed below. The package was informed by (and includes a summary of) lessons learned about TB surveillance during more than 100 national TB epidemiological reviews conducted since 2013.
Module For Assessing And Strengthening The Quality Of Viral Load Testing Data Within Hiv Programmes And Patient Monitoring Systems Implementation Tool Second Edition
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2024-03-26
Module For Assessing And Strengthening The Quality Of Viral Load Testing Data Within Hiv Programmes And Patient Monitoring Systems Implementation Tool Second Edition written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Medical categories.
This technical update of the 2020 viral load data quality module provides further guidance on the recommended data quality assurance activities, updated web annexes to support country implementation, and generic budgets for viral load testing data quality monitoring activities. These are part of ongoing efforts to standardize approaches to ensure that accurate and timely HIV viral load testing data and results are available for both clinical use and to strengthen programme monitoring. This aligns with recommendations outlined in the 2022 WHO Consolidated guidelines on person-centred HIV strategic information on data quality assessment and improvement. The updated guidance on the priority indicators and the key elements of data quality include: - Key indicators to be included in data quality monitoring activities; - Main activities to be included in the viral load testing data quality assessment process; - The calculation of viral load test turnaround times; - Considerations for data quality assessments for sites with electronic data systems; - Sampling for national data quality assessments of sites and clinical records; - Data quality monitoring via lot-quality assurance sampling; - Considerations for facilities with point-of-care or near point-of-care viral load testing; - Considerations for data quality assessments of viral load testing data for pregnant and breastfeeding women; and - Recording the limitations and challenges of data quality monitoring assurance activities.
Data Quality
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Author : Thomas C. Redman
language : en
Publisher: Random House Puzzles & Games
Release Date : 1992
Data Quality written by Thomas C. Redman and has been published by Random House Puzzles & Games this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Data Quality begins with an explanation of what data is, how it is created and destroyed, then explores the true quality of data--accuracy, consistency and currentness. From there, the author covers the powerful methods of statistical quality control and process management to bear on the core processes that create, manipulate, use and store data values. Table of Contents: 1. Introduction; 2. Data and Information; 3. Dimensions of Data Quality; 4. Statistical Quality Control; 5. Process Management; 6. Process Representation and the Functions of Information Processing Approach; 7. Data Quality Requirements; 8. Measurement Systems and Data Quality; 9. Process Redesign Using Experimentation and Computer Simulation; 10. Managing Multiple Processes; 11. Perspective Prospects and Implications; 12. Summaries.
Data Quality Assurance A Complete Guide 2020 Edition
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2020-01-10
Data Quality Assurance A Complete Guide 2020 Edition written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-10 with categories.
How adequate are any data quality assurance procedures and data validation that were followed? What is a Data Quality Assurance Plan? Is your process for data quality assurance proactive or reactive? Why is data quality assurance so important for your organization? What is big data quality assurance? This easy Data Quality Assurance self-assessment will make you the principal Data Quality Assurance domain assessor by revealing just what you need to know to be fluent and ready for any Data Quality Assurance challenge. How do I reduce the effort in the Data Quality Assurance work to be done to get problems solved? How can I ensure that plans of action include every Data Quality Assurance task and that every Data Quality Assurance outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Quality Assurance costs are low? How can I deliver tailored Data Quality Assurance advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Quality Assurance essentials are covered, from every angle: the Data Quality Assurance self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Quality Assurance outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Quality Assurance practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Quality Assurance are maximized with professional results. Your purchase includes access details to the Data Quality Assurance self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Assurance Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Executing Data Quality Projects
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Author : Danette McGilvray
language : en
Publisher: Academic Press
Release Date : 2021-05-27
Executing Data Quality Projects written by Danette McGilvray and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Computers categories.
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today’s data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization’s standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach Contains real examples from around the world, gleaned from the author’s consulting practice and from those who implemented based on her training courses and the earlier edition of the book Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online