David Schieber

One platform. No patchwork. No toggling. Every time a new documentation tool is bolted on, friction increases: - More logins - More errors - More clinician frustration Fragmentation kills adoption. T-Pro was built differently. We unify the entire documentation journey into a single, intelligent layer: Voice capture at the point of care ✔️ AI scribing in real time ✔️ Auto-verification for accuracy ✔️ Seamless distribution into the EHR All delivered from one enterprise platform, scalable, secure, and trusted by clinicians. For CIOs and CCIOs, that means fewer vendors to manage, fewer risks to govern, and a system clinicians actually want to use. This isn’t another tool to patch holes. It’s the foundation for enterprise-grade documentation. Learn more about T-Pro: https://info.tpro.io/ #NHSLeadership #ClinicalDocumentation #EnterpriseHealthTech #HealthcareIT #AmbientAI #DigitalTransformation #ClinicalSafety

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Three Data Quality Questions 1. Is ‘Tragedy Of The Commons’ a good metaphor? 2. Do Dale Carnegie's 100-year-old ideas on influencing people apply? 3. Can you use iterative improvement and DataOps? What do you think? https://hubs.ly/Q03lrLV40 #dataosp #dataquality

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Getting published on a DA 80+ mental health site isn’t luck — it’s strategy. At Apex Dynamics, we recently landed a high-authority guest post on a trusted mental health platform — and did it within 7 days from pitch to publish. Here’s what made it possible: ✅ Deep niche research ✅ A value-first pitch (not a spammy one) ✅ Content that aligned with E-E-A-T and the site’s tone ✅ Timely follow-up with empathy, not pressure Guest posting isn’t just about links — it’s about building real trust, authority, and visibility. 🚀 Ready to grow your brand with ethical, high-impact guest posts? Let’s talk. #GuestPosting #MentalHealthMarketing #DA80 #EEAT #ApexDynamics #DigitalMarketing #SEO #ContentMarketing #LinkBuilding #MentalHealthSEO

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The Databricks Startups team answers founders’ most common AI questions—where to start without hype, how to stay compliant with sensitive data, what to build versus buy, how to cut hallucinations, and how to keep costs in check. 💡 Get step‑by‑step starting points, governance patterns for sensitive data, a pragmatic build‑versus‑buy lens, tactics to curb hallucinations, and cost controls that scale. 🔗 Full post: https://lnkd.in/ehRa3Yp5 #Databricks #DatabricksForStartups #AI #GenAI #MLOps

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It was great catching up with Sean M. Kerner recently and discussing how many classical labeling workflows are now being adopted for evaluation, especially within agentic workflows. To quote the article: "If evaluation is just data labeling for AI outputs, then the shift from models to agents represents a step change in what needs to be labeled. Where traditional data labeling might involve marking images or categorizing text, agent evaluation requires judging multi-step reasoning chains, tool selection decisions and multi-modal outputs — all within a single interaction." For product leaders, evaluation needs to be a core part of building any AI-powered application. To get beyond demos, you need a reliable way to generate high-signal human feedback that continually improves your models, and this feedback need to be in consensus between PMs, Data Science and SMEs. Its the most important investment to make to get and stay in production. https://lnkd.in/eMKhBThV

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“From chaos to clarity: What smart scheduling looks like.” Manual appointment scheduling might seem manageable — until it isn’t. ✅ Patients get double-booked. ✅ Staff spend hours rescheduling. ✅ Emergencies don’t get prioritized. ✅ Admins rely on sticky notes, calls, and emails that can easily fall through the cracks. We recently spoke with a hospital team that admitted: “We spend over 2 hours a day just coordinating appointments manually.” That’s 10+ hours a week — time that could be spent delivering better care. 🔁 Modern hospitals are switching to smart scheduling systems — giving them: Real-time visibility Automated patient reminders Less staff burnout Happier patients 🧠 If your hospital still relies on manual scheduling, you’re not alone — but it might be time for a smarter approach. Let’s talk about what’s possible.

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Let’s be direct. Every analytics vendor is now “AI-Enabled.” But very few can show you standards, governance, & measurable outcomes behind the claim. The question isn’t who has AI. It’s who has AI you can trust in a regulated environment. At RxLogix, AI/ Automation/ ML is not a feature, it’s the modernization backbone. Built with discipline. Validated with evidence. Designed to operationalize intelligence across safety, not just display it. If you’re serious about modernization, start by asking vendors a simple question: “Show me your AI standards, not just your roadmap.” Most will struggle. We won’t!! RxLogix Agentic AI/ Automation/ ML: Where governance, accuracy, & measurable outcomes come standard.

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When Your Entire Research Process Runs on AI, Who's Really in Control? Sampling? AI. Survey design? AI. Fraud detection? AI. Analysis? Also AI. Tomorrow at 11 AM ET, WIRe and Dynata are bringing together practitioners who are actually doing this work to talk about what's holding up and what's falling apart. The Real Questions: • Which AI applications in market research are delivering on their promises? • Where do we need human judgment to step in? • How do you evaluate a vendor when everyone claims to have AI figured out? Join industry experts for an honest conversation about building safeguards into AI-powered research. You'll walk away with a "Buyer Toolkit" that gives you a framework for vetting providers instead of just taking their word for it. Thank you to Dynata for making this webinar possible! If you're making decisions about AI-enabled research tools, this webinar will help you ask better questions: https://hubs.la/Q044C2P50 #MarketResearch #MRX #WomenInResearch

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Unlock powerful insights with DSS Professional's Intelligent Analysis. Metadata tools for demographic and directional data, including gender and age. 'In Area Number' analysis with custom duration settings for strategic planning. Download & learn more: http://tiny.cc/dahuadss

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