Healthcare News: EHRs reliable estimate of septic shock trends

June 13th, 2017

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Note:  The following article synopsis was NOT provided by HCPro. It was created by Find-A-Code/innoviHealth.

Article Overview

This news article reviews a CHEST Journal study on how septic shock trends were measured across a large multi-hospital adult inpatient population. It contrasts surveillance-based clinical data from electronic health records with claims or coded records, and situates the findings within broader sepsis-related updates affecting clinicians, researchers, and coding professionals.

Why This Topic Matters

The article is relevant because it highlights how data source selection can change reported trends in septic shock incidence and mortality. It also connects the discussion to evolving sepsis terminology and recent critical care guidance, which may affect interpretation of hospital data and quality reporting.

Article Sections

  1. Study comparing clinical surveillance data and coded records

    Introduces the CHEST Journal study design, setting, and the hospital population analyzed over the surveillance period. It frames the comparison between electronic health record-based surveillance and coded record-based trend estimates.

  2. Reported trend differences over time

    Summarizes how the two data approaches differed in the observed direction and magnitude of septic shock incidence and mortality trends. The section presents the broad comparison without detailing coding mechanics.

  3. Broader sepsis context and recent guidance

    Places the study in the context of related sepsis research and recent critical care guideline updates. It notes that the article references evolving consensus definitions and professional society guidance.

What You Will Learn

  • How clinical surveillance data and coded records can produce different estimates of septic shock trends
  • What the article reports about the study population and time period
  • How the article connects the study to broader sepsis research and guideline updates
  • Why data source choice matters when interpreting trend reports in hospitalized patients

Who Should Read This

  • Medical coders
  • Clinical documentation improvement specialists
  • Health information management professionals
  • Quality reporting staff
  • Hospital data analysts
  • Critical care clinicians
  • Healthcare administrators

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