Mark Hoffmann

Gary Katz at Progress talking about how progress data platform #PDP can create multiple business solutions for #Medicare #Medicaid #state programs

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The University of Kansas Health System knew the importance of accurate patient registration to understand care coverage and enable precise coding and billing procedures. The organization automated registration audits by using the Health Catalyst® data platform. Leveraging the data platform and registration audit tool, the organization has streamlined its auditing procedures, enabling it to scale auditing processes to every patient encounter.

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Compliance audits used to terrify this medical practice. They worried about fines and reputation damage due to complex regulations. We implemented automated compliance tracking that keeps them green every day. Now they focus on patients instead of paperwork. #Compliance #MedicalIT #ColumbusOhio

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Hidden Pitfalls in EMR Transitions Not all EMR transitions are created equal. Watch out for these common pitfalls that can derail your project: ·        Complex data migration ·        Poor change management planning ·        Hidden costs beyond licensing ·        Workflow mismatches ·        Overbooked vendors with limited capacity The key? Plan early, ask hard questions, and partner with experienced vendors. #HealthcareIT #EMRSelection #CPSI #DigitalHealth #RevenueCycle

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Technology Improves Registration Accuracy and Optimizes Revenue Cycle Performance The University of Kansas Health System knew the importance of accurate patient registration to understand care coverage and enable precise coding and billing procedures. The organization automated registration audits by using the Health Catalyst® data platform. Leveraging the data platform and registration audit tool, the organization has streamlined its auditing procedures, enabling it to scale auditing processes to every patient encounter.

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Why do EMR implementations take 9 months? Because the system requires humans to learn its complexity. Traditional EMR implementations drag on for 6-9 months. Sometimes longer. Agencies delay go-lives, extend training windows, run parallel systems. Staff spend weeks learning where to click, what fields to fill, which workarounds to use. We're doing implementations in 60 days. Not because we cut corners. Because the system is designed differently. When AI handles documentation, coding, compliance, and billing automatically, there's less for staff to learn. When workflows adapt to how clinicians actually work, there's less to configure. When the system does the heavy lifting, training becomes orientation, not education. Implementation timelines reveal something important about a system. If it takes 9 months to learn, the complexity lives in the wrong place. Your technology should learn your agency. Not the other way around.

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If you are attending HFMA, I highly recommend to lookup Pam and ask about MilagroAI's unique abilities, that can take your RCM organization to the next level

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⚠️ CMS CY 2027 Advance Notice: What PACE Should Watch Closely CMS’s CY 2027 Advance Notice proposes an accelerated transition of PACE risk adjustment toward MA models, moving to a 50% PACE / 50% MA blend in 2027 and 100% MA by 2028. The proposal increases reliance on CMS-HCC v28 and encounter-based diagnoses, affecting Parts C, D, ESRD, and frailty adjusters. While framed as improving payment accuracy, PACE organizations may want to closely assess: - Risk score impact under v28 - Encounter data readiness - Financial implications for frail, high-acuity populations The direction is clear: PACE payment is continuing to align with MA. At Dina, we’re already seeing this convergence drive greater focus on encounter data quality, longitudinal diagnosis capture, and risk transparency. This proposal accelerates the need for that work. 🗓 Comments due Feb 25 | Final Notice expected April 6 #PACE #CMS #RiskAdjustment #Medicare #HealthcarePolicy

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❗ December just became the most important month of your year. Here's what's happening in federal contracting right now that small businesses in AI and automation CANNOT afford to miss: Federal IT contracts are on pace to hit nearly $50 BILLION in Q4 alone - a record for any quarter. While most contractors are winding down for the holidays, agencies are in full sprint mode. Why? Every dollar not obligated by September 30th (end of fiscal year) gets pulled back. No agency wants to explain to Congress why they left money on the table. What This Means for AI Companies: The federal government spent $5.6 billion on AI contracts from FY 2022-2024. Small businesses captured 35% of that - $740 million in FY 2024 alone, up 34% from FY 2022. But here's the kicker: agencies just added OpenAI, Google, Anthropic, and Perplexity to the Multiple Award Schedule in the past 4 months. This isn't future planning - this is agencies preparing to spend NOW. The Window is Narrow: In typical years, Q4 sees simplified acquisitions increase and set-asides pushed through faster. Task orders get issued rapidly. Contracting officers stop shopping and start obligating. But December 2025 is different. We're operating under a continuing resolution through March 14, 2026. Agencies know funding could shift. Smart procurement officers are moving fast on AI tools that improve efficiency - exactly what DOGE is demanding. If your AI solution helps agencies do more with less, this is your moment. Are you visible on SAM.gov? Is your capability statement updated? Do contracting officers even know you exist? December won't wait. Neither should you. Sources: Government pacing toward increased IT contract spending - Nextgov/FCW, September 10, 2025 - https://lnkd.in/e-FTBWXz Federal Artificial Intelligence Spending Trends FY 2022-2024 - GovWin IQ - https://lnkd.in/eX9Vsh_9 GSA Propels Government into AI Revolution - GSA, August 5, 2025 - https://lnkd.in/eztvUTTN  GSA and Perplexity Sign First Direct Deal - GSA, November 19, 2025 - https://lnkd.in/eznX8vw2

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22.65M people notified in the Aflac breach—this isn’t just “oops, a spreadsheet leaked.” It’s the full identity puzzle box: SSNs, driver’s licenses, passports/state IDs, DOBs, addresses… plus medical + health insurance data. That combo is basically fraud on hard mode—*for victims*, not criminals. What to be concerned about: - **Longevity of risk:** SSNs and ID numbers don’t “reset” like passwords. - **Medical identity theft:** claims, prescriptions, and benefits abuse can trail you for years. - **Industry-wide targeting:** filings suggest a **known cybercriminal group** aiming at insurers broadly—think repeatable playbooks, not one-off luck. - **Notification lag = attacker head start:** when scale is this large, “time-to-notify” matters. Worth a read: https://lnkd.in/gBDP-weX #cybersecurity #databreach #infosec #privacy #identitytheft #healthcaresecurity #insurance #riskmanagement #cybercrime Security is a streak you can’t afford to break.

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"Don't use AI at work. Patient privacy." Someone told you this. They lied. HIPAA protects identifiers. Names. Records. Dates. Your ↳Orientation packets ↳Documentation templates  ↳Evidence summaries, hold none of these, so they're free game. Strategic AI use provides you with an avenue to redeem the time redundancy steals from you. The tools exist. It's up to you to master them. [👉🏾 Follow Timi for more | ♻️ Repost if this resonated]

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