Bill Rogers

How Can CMOs Use Rhodium to Increase MedSpa Bookings and Boost Revenue? Missed calls become missed revenue. Unlinked EMR, CRM, ads, and scheduling hide which campaigns and providers actually drive value. Reactivation goes manual and slow. Rhodium unifies EMR, CRM, phone, scheduling and ad reporting into a single revenue engine that automates capture, two-way SMS, smart reminders, tiered memberships and ML-driven campaigns. It keeps humans in control while reducing manual friction. You see fewer no-shows, more rebooked slots, and clearer service-level ROAS. Case studies show bookings moving from about $6K to $25K monthly, no-shows falling up to 40 percent, and single ads returning $3,500 plus when you target by treatment and provider. Transformation playbook you can deploy now: 1. ➩ Capture and convert immediately. Set up missed-call capture and a universal inbox with two-way SMS so inquiries are handled in minutes, not hours. That quick response converts a higher percentage of leads and reduces front-desk firefighting. 2. ➩ Reactivate lapsed clients with precision. Launch smart campaigns that use past purchase history to personalize offers. Reactivations often deliver thousands in recurring monthly revenue with minimal ad spend. 3. ➩ Build membership tiers for retention. Create 2 to 3 membership levels with recurring billing and VIP tagging. Members visit more often and spend more per visit. 4. ➩ Optimize scheduling and lower no-shows. Use intelligent reminders and dynamic confirmations to reclaim blocked capacity. That improves utilization and reduces wasted provider time. 5. ➩ Measure and reallocate ad spend by service. Use service-level revenue reporting to stop guessing and double down on high-return creative and dayparts. You save ad dollars and scale winners faster. This is not about another tool, it is about replacing guesswork with a revenue-first platform you can pilot fast. → If you want measurable lift, run a 90-day test with clear KPIs and a 15-minute ROI review. Stop treating missed calls as inevitable; they are the cheapest lost bookings you can recover. Stay tuned for more exciting realtime updates, knowledge tips, and career opportunities. Follow us here. #MedSpa #AestheticsMarketing #HealthcareMarketing #SaaS

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Too many teams treat PAS 2080 as a reporting burden. It’s not. It’s a competitive filter. What we’ve laid out here is a faster, cleaner path to compliance, aligned to how preconstruction processes already work. Required reading if your bids are heading into regulated territory 👇 https://lnkd.in/eQWZQVB8

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TEFCA + QHIN: The Game Changer in Healthcare Interoperability Healthcare has long struggled with one problem—data silos. CMS interoperability rules opened the door, but TEFCA is building the bridge, and QHINs are the highways connecting us all. For payers, QHIN participation means real-time access to clinical data, better HEDIS performance, and faster care coordination. For providers, it’s a complete patient picture at the point of care. For patients, it’s health records that actually follow them. This isn’t just compliance, it’s the infrastructure for a healthcare system that moves at the speed of need. If your organization isn’t exploring QHIN connectivity now, you’re already behind the curve. #TEFCA #QHIN #Interoperability #HealthIT #DigitalHealth #HealthDataExchange #CMS #ValueBasedCare #HealthcareInnovation #DataSharing #HIE #HealthEquity #CareCoordination #HealthTech #HealthcareLeadership

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Big changes are coming in the digital healthcare space with the announcement of Optimizely’s HIPAA-ready solutions. It means you can use the DXP platform’s PaaS & SaaS CMS and Web & Feature Experimentation to create, manage and optimize digital healthcare experiences. John Berndt, SVP Health, explains everything you need to know about the changes 👉

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There's some hype around CMS moving toward a National Provider Directory and a free FHIR API, with the stated ambition of improving accuracy and interoperability. Contrarian take: a national directory will not work if we frame it as a source of truth. Here's why “SOT” breaks in the real world in the current frameworks I'm reading about. Provider data is not one dataset. It is identity, locations, affiliations, network status, and endpoints, each changing at different speeds and owned by different parties. A centralized index can publish what it receives in that specific moment, but it cannot guarantee what is true.  Don't get me started on what happens when you actually start calling doctors. This is compounded when you use multiple vendors to try and create said SOT. CMS awarded proof-of-concept contracts to four vendors. Availity, CAQH, Palantir, and Gainwell Technologies.  It's great for experimentation and press, but it highlights the core issue: If each vendor aggregates and “validates” differently, you don't get one truth. You get four versions of truth plus a reconciliation layer. Who wins when sources conflict, who is accountable for errors, and how do disputes get resolved? More builders does not change incentives for providers and payers to keep data current. It just increases integration and arbitration work. So what might actually scale? The win is not “one national truth.” It is federated truth: open standards (FHIR), strong provenance (who asserted what, when), and purpose-built views for patient search vs endpoint routing. Curious where others land: what incentive or enforcement mechanism would actually keep national-scale provider and network data current?

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Can we estimate the PY24 MSSP savings amount now? Yes, before the final report comes out! Medicare ACO is difficult to run successfully, but one of the most challenging parts in my opinion is the uncertainty and waiting. All the work you put in during the performance year, and the results usually come 6-8 months later. Quite a bit of waiting! To be fair, there are valid reasons for the delay - late claims, payment reconciliation, complex calculations - but sometimes I need to provide numbers before things finalize. Here's a little trick I've been using: If you're running a MSSP, you already have your "historical benchmark" and "performance year expenditure" with reasonable completion factors. To get the final savings, the historical benchmark needs to be "updated" with national-regional blended factors. So, let's oversimplify the process a bit, and make a new variable called update_rate: update_rate = updated benchmark / historical benchmark Looking at three years of data (see graph), I've noticed something interesting: the update rate consistently increases year-over-year. The scatter plot shows update rates for 2021 (blue), 2022 (yellow), and 2023 (green) plotted against their previous year's update rates. The red diagonal line is the identity line (where current year = previous year). Check out how almost all the points fall above that red line - meaning each year's rate is typically higher than the previous year! So here's the quick calculation: 1. Take your historical benchmark 2. Multiply by last year's update rate (which is your conservative estimate) 3. Compare to your performance year expenditure 4. Calculate the difference to estimate savings This gives you a reasonable "floor" for expected savings while waiting for the official report. What methods do you use to forecast your MSSP results? I'd love to hear your approaches! #MedicareACO #MSSP #HealthcareAnalytics #ValueBasedCare

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From HIPAA To AI Agents: How To Scale Secure Digital Health Products - @Evan Kirstel, Special to Technology Reseller News - Interested in being a guest? Email us at admin@evankirstel.com (https://lnkd.in/gsazi34c) - Read more from Evan (https://lnkd.in/gWSQjYqj) Building great health tech isn’t about stacking features. It’s about clarity, secure architecture, and the courage to automate the real bottlenecks. We sit down with Technology Rivers founder and CEO to unpack how AI is changing the way we design, build, and scale HIPAA-compliant digital health products without cutting corners on privacy or performance. We talk through the full development lifecycle and where AI actually pulls its weight: rapid proofs of concept, code generation that respects standards, https://lnkd.in/gTvYNbh9 #msp #channelPartners #carriers #enterprise #Telecommunications #ai #messaging #mobility #ucaas #ccaas #cpaas #Mobility

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We analyzed FastenHealth's open-source codebase covering 25,000+ healthcare provider integrations to see what healthcare integrations looks like in production at scale. The gap between FHIR standards and reality is bigger than most teams expect. Three patterns that scaling healthtech teams should note: 1. Every provider is different. The same integration with multiple hospitals using the same EHR system needs custom handling and configuration. 2. Authentication takes longer than you think. Healthcare authentication isn't standard. Production systems need specialized infrastructure. 3. Successful API calls can still fail. Healthcare APIs return success codes even when the data is wrong or incomplete. If you're building healthcare integrations, understanding these patterns upfront can save months of painful discovery. Full breakdown in the comments.

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💡THE BIGGEST OPPORTUNITY IN HEALTHCARE…is fixing how it runs/operates. Check out this research from CHIME (the largest assoc of healthcare CIOs) and RLDatix North America - hot off the press. ❗️THE SURVEY SAYS: What CIOs are saying we need to fix: 1️⃣ Modernization is no longer optional: Nearly 90% say operations must evolve to keep pace with rising clinical, regulatory and financial pressure. 2️⃣ Interoperability is the baseline expectation: 80% say tools must work together seamlessly to support coordinated execution. 3️⃣ Tool sprawl is slowing teams down: 76% report that managing too many point solutions makes operations harder, not easier. 🔨 WE CAN FIX THIS: Fixing this is a HUGE part of our focus here at TeamRLD - check out RLD360, our AI-driven platform: www.rldatix.com. https://lnkd.in/gh7x6Kkn

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70% of home care agencies are still scheduling manually. That means: • Missed visits • Caregiver burnout • Slow operations • Revenue leakage Manual scheduling is no longer sustainable for agencies scaling in 2025 and beyond. This is why we built ClaraWave — an AI-powered platform designed to automate scheduling, reduce missed visits, enable compliance, and help teams move faster with fewer errors. #HomeCare #HealthTech #Scheduling #AIInHealthcare

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