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Clinical Chemistry Podcast Transcripts

Association for Diagnostics and Laboratory Medicine · 934 episodes with transcripts

This free monthly podcast is offered by Clinical Chemistry. Clinical Chemistry is the leading forum for peer-reviewed, original research on innovative practices in today's clinical laboratory.

Spoken has transcripts of 934 Clinical Chemistry Podcast episodes, with the speakers named. The newest listed here is from September 30, 2020.

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Every Clinical Chemistry Podcast transcript in one script

934 episodes of Clinical Chemistry Podcast have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

archive.sh
curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/499883130/episodes \
  | jq -r '.episodes[] | "\(.id) \(.title)"' \
  | while IFS=' ' read -r id title; do
      slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
      [ -f "${id}-${slug}.md" ] && continue
      curl -sf -H "x-api-key: YOUR_KEY" \
        -o "${id}-${slug}.md" \
        https://spoken.md/transcripts/$id || rm -f "${id}-${slug}.md"
      sleep 0.34
    done

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Latest Clinical Chemistry Podcast transcripts

Patient-Based Real Time QC

September 30, 2020

Bob Barrett (0:00)

This is a podcast from Clinical Chemistry, sponsored by the Department of Laboratory Medicine at Boston Children's Hospital. I'm Bob Barrett. Analyzing quality control specimens is a tool routinely used by medical laboratories to help assure that correct results are reported for patient samples.

That involves periodic analysis of materials with a known analyte concentration and estimating if measurement error is within acceptable limits. However, the adequacy of those samples to represent authentic patient samples is not often addressed. But what if we were to use the patient samples themselves as a source…

Tony Badrick (1:29)

So the concept between patient-based real-time quality control is that you use some characteristic of the patient population to detect error in your assay. So for example, let's assume that you're measuring sodium on some instrument. What patient-based real-time QC would do is take the sodium values for a group of…

So for example, let's assume that something goes wrong with the assay, and let's look at sodium again. So we were calculating our mean for our sodiums, and in a normal population, you might expect that the mean of those consecutive sodium values might be 140 So if you had a shift in bias in your assay, rather than…

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Any Clinical Chemistry Podcast episode comes back as Markdown with the speakers named, one credit each.

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  https://spoken.md/transcripts/1000494832736

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