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  1. www.ncbi.nlm.nih.gov › books › NBK578527QUALITY IN HEALTHCARE

    Provides national- and state-level data about HAI incidence during 2020, primarily focusing on the following HAIs: CLABSIs, CAUTIs, ventilator-associated events (VAEs), surgical site infections (SSIs), methicillin-resistant Staphylococcus aureus (MRSA) bloodstream events, and Clostridioides difficile (C. difficile) events.

    • 2021/12
  2. The goal of quality informatics is to collect effective healthcare quality data, analyze those data, and apply findings toward quality improvement programs. Quality informatics tasks are grouped into three categories: (1) project management; (2) technical management; and (3) reporting.

  3. The tools, knowledge, and data that AHRQ develops and funds are foundational to creating a health-care system that is safe, timely, effective, efficient, equitable, and patient-centered. 7 AHRQ contributes to creating a higher-performing health system in three major ways.

  4. How can demographic data collection be an important part of your quality strategy? Evidence clearly points to the significant role of demographic variables, such as race and language, in shaping the quality of care experienced by patients/clients.

  5. This chapter describes a broad range of centralized and distributed data collection and quality assurance activities currently in use or expected to become more commonly used in patient registries.

    • Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy
    • 2014/04
    • 2014
  6. Dec 13, 2022 · Introduction. Healthcare is a service offered to persons who are simultaneously patients in a traditional sense and customers in a modern sense. This topic focuses on delivering health services and products in both senses.

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  8. High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of ...

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