There's a LOT of chat about online sample quality at the moment. So I thought I'd join in. What are your opinions on sample quality? I'd love to hear your thoughts! https://lnkd.in/e6Hqmiau #mrx #dataquality #onlinesample
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Double Independent Checking: Highlights the importance of double-independent checking of patients and blood products with a demonstration of the process. https://lnkd.in/gABCjyVR
Double Independent Checking
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🚨 10+1 #ClinicalTips for vertical jump testing after ACLR It's about more than just conducting the test: ✅ Selecting the right tests ✅ Adhering to relevant metrics ✅ Understanding the purpose behind the testing #BJSMBlog ➡️ https://bit.ly/3TNvLgD
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🚨 10+1 #ClinicalTips for vertical jump testing after ACLR It's about more than just conducting the test: ✅ Selecting the right tests ✅ Adhering to relevant metrics ✅ Understanding the purpose behind the testing #BJSMBlog ➡️ https://bit.ly/3TNvLgD
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Abnormal lab values are largely meaningless in terms of coding (your quality metrics, reimbursement, etc.) Avoid documenting "elevated troponin" or "elevated BNP" as problem-diagnoses unless you're using them as placeholders for further clarification. Give them a diagnosis.
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#EMAVFS_StDev - indicator MetaTrader 5 https://lnkd.in/erxVpYrJ # The EMAVFS indicator with additional trend strength indication using colored dots based on the standard deviation algorithm. If the standard deviation of the EMAVFS indicator is between the dK1 and dK2 parameter values, then a small colored dot appears on the moving avera...
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🚨 10+1 #ClinicalTips for vertical jump testing after ACLR It's about more than just conducting the test: ✅ Selecting the right tests ✅ Adhering to relevant metrics ✅ Understanding the purpose behind the testing NEW #BJSMBlog ➡️ https://bit.ly/3TNvLgD
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One Place Left! Technicians can struggle to get diagnostics done right first time. Not understanding correlation and causation is a widespread problem. To get ahead in your diagnosis, come to TTHQ and get trained in our awesome Golden Hour Diagnostic Techniques. https://lnkd.in/dvduDQed
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Today marks the grand finale of our 8-part series 😢 But don't worry, we're wrapping up on a high note! Here’s your 8th and final call guide optimisation tip. 📌 Seeking permission for vulnerability noting Rumour has it that Voyc's experts have even more insights to share - why not reach out? 📞 https://lnkd.in/e-Q8WHnQ And remember, these tips are most effective alongside a comprehensive call quality monitoring solution, like Voyc. This guarantees good customer outcomes and provides a robust trail of evidence and management information (MI) for regulatory compliance.
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In the 📕#RedJournal: International Consensus Recommendations for Safe Use of LAMS for On- and Off-Label Indications Using a Modified Delphi Process Stefanovic, et al. 👉 bit.ly/3w8TVdQ
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Expert in Shoppers, Retail Display and Retail Technology
5moI think that people should have been talking about it from the start. Sample is generally absolutely awful, especially from some providers. It renders quant project findings next to useless, and pads out results with a lot of ‘filler noise’ and which stops people seeing the wood from the trees. You can perhaps see it a bit clearer now that many more statistical tests are being run on data which makes it more obvious and perhaps this is part of the reason for the drive, but I also think clients are tending to swing back to more qual which is eating into spend in quant and probably terrifying some quant focused companies. An interesting area, but one where I think there needs to be way more client education and probably more listening before we all jump to solution. I also think a lot of companies are coming out saying they’ve fixed it when it is systemic and they don’t even know what the challenge is.