David Lawrence

🧱 Data quality matters. 35% of CFOs cite data quality as a major roadblock to AI adoption. Garbage in, garbage out! Read more: https://ow.ly/NuQh50V76es #CFO #FinanceLeadership #TEM #UplandCimpl #CostOptimization #TechnologyExpenseManagement #TechnologyInvestment #PredictiveAnalytics #ChiefFinancialOfficer #CIO #CTO #ExecutiveLeadership

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Many contract analytics teams still see price transparency analysis as a major undertaking: Pull the data. Clean thousands of records. Cross-reference against Medicare. Hope the patterns start to emerge. Repeat. The reality is that only a small slice of this data is meaningful (and it's rarely on the surface). The faster you get to that slice, the faster you understand your competitive position. That’s why DecipherPro™ focuses on speed to usable insight. You log in. Choose networks. And see the contract patterns that matter. Analysts report accessing the competitive intelligence they need in just a few minutes. This is how you shift from data that sits on the shelf to intelligence that influences negotiations.

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The Tableau-based tool provides data on what’s known as “allocation out-of-sequence” as well as when organs are not ultimately used. https://hubs.li/Q03Gh2_v0

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Payers want to innovate — but enrollment errors drain resources fast. In our sit-down with enGen’s Maynd Jolly and IBM’s Matt Gierhart, they explain how enGen enRollTM frees teams from manual cleanup so they can focus on members: https://lnkd.in/esnmJh8D #enGen #Healthtech #IBM #HLTHUSA #HITsm

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Just got off a call with a fantastic data leader—no names, no invoices… just a question: "How should I respond to some org changes given our heavily federated model?" This comes up a lot. Centralized vs. decentralized. Combined engineering & analytics or split? Spoiler: there’s no one-size-fits-all. And whatever structure you pick shouldn’t be static. My take: Start by centralizing. Unify the team. Build a strong data culture. Level up your talent. Then revisit decentralization from a position of strength. I've seen it pay off—intake to delivery gets faster, and team members get exposure across the data spectrum (shoutout to the data governance analyst who turned into a killer analytics engineer). Yes, there are trade-offs. Prioritization becomes a political game. Context can get diluted. But that’s where process and vision come in. If you set the right foundation, you can shift later without chaos. Honestly, one of my favorite questions is still: "Ryan, who should the data team report to?" (Ask five companies, get six answers.) As data becomes a mature profession, these decisions only get harder. But they’re the right conversations to be having. How is your team structured today—and is it working?

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Helping ABA providers protect revenue and stay audit-ready has been Brellium's bread and butter since Day One. So it's no surprise that Rethink practices across the country have added Brellium to their tech stack. Together, Brellium + Rethink Behavioral Health help ABA providers scale faster. Teams see more patients, more efficiently, without added compliance exposure. We already power 40,000+ audits for Rethink customers every week, catching documentation gaps before they become clawbacks. And nearly 90% of Rethink users rate their Brellium experience positively — with more practices joining every month. See how Rethink practices like yours are using Brellium. Comment "Ready" and we'll show you how it works.

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We recently published a new blog that breaks down how healthcare organizations are using forecasting data to support strategic, forward-looking planning. The article explores how forecasting can help anticipate future demand, guide service line growth, and support longer-term strategic decisions. Read the full article here 👇 https://lnkd.in/gT-K9C3F #intellimed #blog #data #analytics #healthcare #hospitals #strategy #growth

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