Harnessing electronic healthcare data for wound care research: Standards for reporting observational registry data obtained directly from electronic health records.

The United States Food and Drug Administration will consider the expansion of coverage indications for some drugs and devices based on real-world data. Real-world data accrual in patient registries has historically been via manual data entry from the medical chart at a time distant from patient care...

Descripción completa

Detalles Bibliográficos
Publicado en:Wound Repair & Regeneration Vol. 25; no. 2; pp. 192 - 210
Autores principales: Fife, Caroline E., Eckert, Kristen A.
Formato: review tables/charts Journal Article
Publicado: Wiley-Blackwell Apr/May2017
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123588782&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 123588782
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10671927
        DPV
      jtl: Wound Repair & Regeneration
      issn: 10671927
      maglogo: Y
    pubinfo:
      dt: Apr/May2017
      vid: 25
      iid: 2
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        123588782
        123588782
        123588782
        10.1111/wrr.12523
        123588782
      ppf: 192
      ppct: 18
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Harnessing electronic healthcare data for wound care research: Standards for reporting observational registry data obtained directly from electronic health records.
      aug:
        au:
          Fife, Caroline E.
          Eckert, Kristen A.
        affil: Baylor College of Medicine, Houston TX
      sug:
        subj:
          Wound Care
          Electronic Health Records
          Registries, Disease
          Data Analytics
          Clinical Research
          Quality Improvement
          Electronic Data Interchange
          Performance Measurement Systems
          United States Food and Drug Administration
          United States Centers for Medicare and Medicaid Services
      ab: The United States Food and Drug Administration will consider the expansion of coverage indications for some drugs and devices based on real-world data. Real-world data accrual in patient registries has historically been via manual data entry from the medical chart at a time distant from patient care, which is fraught with systematic error. The efficient automated transmission of data directly from electronic health records is replacing this labor-intensive paradigm. However, real-world data collection is unfamiliar. The potential sources of bias arising from the source of data and data accrual, documentation, and aggregation have not been well defined. Furthermore, the technological aspects of data acquisition and transmission are less transparent. We explore opportunities for harnessing direct-from-electronic health record registry reporting and propose the ABCs of Registries (Analysis of Bias Criteria of Registries), which are an evaluation framework for publications to minimize potential bias of real-world data obtained directly from an electronic health record method. These standards are based on a point-of-care data documentation process using a common definitional framework and data dictionaries. By way of example, we describe a wound registry obtained directly from electronic health records. This qualified clinical data registry minimizes bias by ensuring complete and accurate point-of-care data capture, standardizes usual care linked to quality reporting, and prevents post-hoc vetting of outcomes. The resulting data are of high quality and integrity and can be used for comparative effectiveness research in wound care. In this way, the effort needed to succeed with the Quality Payment Program is leveraged to obtain the real-world data needed for comparative effectiveness research.
      pubtype: Academic Journal
      doctype:
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N