Setting Baseline Data Collection Duration

Baseline data provides an evidence-based reference point before introducing change. It helps distinguish improvement from normal variability. What most influences how long you collect baseline data in practice?

Baseline data is essential to determine the necessity and usefulness of the treatment. A solid baseline then helps ensure the treatment's effectiveness.

Are you leaving 50% reduction on the table? Most organizations react to harm after it occurs. The data says a 50% year-over-year reduction in adverse events is achievable — but only if you shift from reactive to proactive. 👉 Swipe for key insights—and watch the full webinar to see how: https://lnkd.in/ewFTQpSe

Does your data collection involve: ✅ Longitudinal studies❓ ✅ Complex workflows❓ ✅ Tracking programs and participants over time❓ Case management is the missing functionality to less data cleaning, fewer errors, and quicker time to impact. Watch the video to learn more.

Chlorine. pH. Turbidity. You can measure everything. But if nothing changes… what’s the point? The real value of testing is: → spotting trends → preventing issues early → making informed decisions Good data doesn’t just tell you what’s happening. It tells you what to do next. Want to turn your data into better decisions? Email Bob at Bmcneill@liainternational.co.uk

We’ve built an entire generation of emergency communications around data. Location data. Additional data. System-generated data. And most of the time… we trust it without thinking twice. But let me ask you something… What happens when the data is wrong… and you don’t realize it? In this episode of TiPS: Today in Public Safety, Fletch breaks down one of the most overlooked risks in NG911 and modern ECC environments, not the lack of data, but the false confidence in the data we receive. Using a simple but powerful analogy, the GPS that confidently tells you to drive into a lake, this episode walks through how systems can present information that looks clean, complete, and correct… even when it isn’t. We explore: The difference between data presentation and data validation Why “verified-looking” information can still be wrong How confidence in a system can quietly replace critical thinking And what this means for call takers making real-time decisions Because in Public Safety, inaccurate data isn’t just a minor issue… It’s a multiplier. It affects decisions.It affects response.And ultimately… it affects outcomes. The takeaway is simple: If you trust the data automatically, you’re already taking a risk. Because the most dangerous data in your system… Is the data you never question. 🎧 New TiPS episodes drop every Monday, Wednesday, and Friday at http://911TiPS.comFollow http://x.com/@Fletch911 on X for more insights, humor, and tech deep divesCheck out his Blogs at http://Fletch.TV Copyright ©2026 Fletch911, LLC Media Productions http://Fletch911.com   REMEMBER  : NEW EPISODES are published each week on Monday, Wednesday, and Friday morning - usually around 8AM on"Fletch's LinkedIn page [ https://lnkd.in/e4b82C7Q ]For Fletch's Blogs, see his Wordpress Site at [ http://Fletch.TV ]and you can follow him on Social Media (such as X) @Fletch911  For NG911 Consulting Services - you can reach Fletch through Fletch 911, LLC at http://Fletch911.com

We’ve built an entire generation of emergency communications around data. Location data. Additional data. System-generated data. And most of the time… we trust it without thinking twice. But let me ask you something… What happens when the data is wrong… and you don’t realize it? In this episode of TiPS: Today in Public Safety, Fletch breaks down one of the most overlooked risks in NG911 and modern ECC environments, not the lack of data, but the false confidence in the data we receive. Using a simple but powerful analogy, the GPS that confidently tells you to drive into a lake, this episode walks through how systems can present information that looks clean, complete, and correct… even when it isn’t. We explore: The difference between data presentation and data validation Why “verified-looking” information can still be wrong How confidence in a system can quietly replace critical thinking And what this means for call takers making real-time decisions Because in Public Safety, inaccurate data isn’t just a minor issue… It’s a multiplier. It affects decisions.It affects response.And ultimately… it affects outcomes. The takeaway is simple: If you trust the data automatically, you’re already taking a risk. Because the most dangerous data in your system… Is the data you never question. 🎧 New TiPS episodes drop every Monday, Wednesday, and Friday at http://911TiPS.comFollow http://x.com/@Fletch911 on X for more insights, humor, and tech deep divesCheck out his Blogs at http://Fletch.TV Copyright ©2026 Fletch911, LLC Media Productions http://Fletch911.com   REMEMBER  : NEW EPISODES are published each week on Monday, Wednesday, and Friday morning - usually around 8AM on"Fletch's LinkedIn page [ https://lnkd.in/e68C6_ct ]For Fletch's Blogs, see his Wordpress Site at [ http://Fletch.TV ]and you can follow him on Social Media (such as X) @Fletch911  For NG911 Consulting Services - you can reach Fletch through Fletch 911, LLC at http://Fletch911.com

The difference between reacting and optimising is the time horizon. Reactions are triggered by single data points. Optimisations are triggered by patterns across multiple data points over time. Train yourself to see patterns, not points. Read more on this article. https://lnkd.in/e9uD2Qvp

Too much noise hides data leakage If everything looks important… Nothing is. In high-noise environments: - Alerts are ignored - Signals are missed - Prioritisation breaks down And data leakage gets buried. Not because it’s not happening. Because it’s not distinguishable from everything else. Visibility into data leakage isn’t about volume. It’s about clarity. If your team is overwhelmed by signals, it’s worth rethinking how data leakage is surfaced. Explore further: https://lnkd.in/efhgjMuJ

Too much noise hides data leakage If everything looks important… Nothing is. In high-noise environments: - Alerts are ignored - Signals are missed - Prioritisation breaks down And data leakage gets buried. Not because it’s not happening. Because it’s not distinguishable from everything else. Visibility into data leakage isn’t about volume. It’s about clarity. If your team is overwhelmed by signals, it’s worth rethinking how data leakage is surfaced. Explore further: https://lnkd.in/efhgjMuJ