Download Free Data Quality Assurance Module 2 Discrete Desk Review Of Data Quality Book in PDF and EPUB Free Download. You can read online Data Quality Assurance Module 2 Discrete Desk Review Of Data Quality and write the review.

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.
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.
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.
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.
The GHG Protocol Corporate Accounting and Reporting Standard helps companies and other organizations to identify, calculate, and report GHG emissions. It is designed to set the standard for accurate, complete, consistent, relevant and transparent accounting and reporting of GHG emissions.
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--