Patient Experience Simplified Through Connected Teams

When AI is applied thoughtfully, it can simplify complex patient journeys and create better experiences at scale. The below article highlights 4 real ways AI is removing friction across every patient touch point.

💰 Up to ~10-15% of healthcare revenue may be lost due to breakdowns in the reimbursement workflow. Here’s where it actually happens: most teams optimize billing. But losses start much earlier, across the entire patient journey. The key idea: Reimbursement isn’t a step. It’s a system: 𝗘𝗹𝗶𝗴𝗶𝗯𝗶𝗹𝗶𝘁𝘆 → 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 → 𝗖𝗼𝗱𝗶𝗻𝗴 → 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 → 𝗙𝗼𝗹𝗹𝗼𝘄-𝘂𝗽 → 𝗣𝗮𝘆𝗺𝗲𝗻𝘁. Where things break: — Pre-visit — eligibility errors & missing authorizations — During care — incomplete or misaligned documentation — Post-visit — coding delays & missed charges — After submission — denials without follow-up & unnoticed underpayments What drives improvement: — Standardized eligibility & documentation — Alignment between clinical workflows and coding — Automated claim validation — Systematic denial & underpayment management 👇 See the full framework in the diagram. A simple framework for finding revenue gaps across the reimbursement workflow and improving performance. P.S. We help providers improve outcomes and revenue by: — Launching telehealth features to connect patients to the care they need — Building care coordination workflows across the journey — Designing AI companions to support patients between visits If you're exploring this space, let’s talk! ✅ 𝗝𝘂𝘀𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗺𝗲 & 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 “𝗦𝗰𝗮𝗹𝗲”.

🎥 𝐈𝐭’𝐬 𝐭𝐢𝐦𝐞 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐝𝐞𝐦𝐨 — 𝐏𝐫𝐚𝐠𝐦𝐚𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐂𝐚𝐫𝐞 𝐏𝐥𝐚𝐧𝐬! Care plans are often created at key clinical moments: Diagnosis. Discharge. Annual reviews. But patient health keeps changing in between. In this demo, I use 𝐓𝐲𝐩𝐞 𝟐 𝐝𝐢𝐚𝐛𝐞𝐭𝐞𝐬 as an example — where a care plan may include medication adherence, diet and lifestyle goals, HbA1c monitoring, follow-ups, patient education, and provider reviews. Over time, small signals like missed follow-ups, changing clinical values, or declining adherence can indicate that the care plan needs attention. That is where care plans need to move beyond static records. In this demo, you’ll see how 𝐏𝐫𝐚𝐠𝐦𝐚𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐂𝐚𝐫𝐞 𝐏𝐥𝐚𝐧𝐬 help providers: ✅ Create structured care plan templates ✅ Assign personalized care plans to patients ✅ Track goals, tasks, services, and appointments ✅ Monitor progress through timeline and task views ✅ Engage patients through the patient portal or mobile app We are also building AI-assisted workflows where patient responses, assessments, and clinical updates can help guide more relevant follow-up questions and provider review. The goal is simple: 𝐌𝐨𝐯𝐞 𝐜𝐚𝐫𝐞 𝐩𝐥𝐚𝐧𝐬 𝐟𝐫𝐨𝐦 𝐬𝐭𝐚𝐭𝐢𝐜 𝐫𝐞𝐜𝐨𝐫𝐝𝐬 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝, 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐜𝐚𝐫𝐞 𝐣𝐨𝐮𝐫𝐧𝐞𝐲𝐬. 🎥 Watch the demo here: https://lnkd.in/dAbYA5HW If your team is building connected healthcare workflows — across care coordination, patient engagement, interoperability, or clinical operations — I’d be happy to connect. #PragmaConnect #DigitalHealth #PatientCare #CarePlanning #FHIR #HealthcareAI

🚀 Excited to see care plans evolving beyond static documentation into more connected and actionable care journeys. 📊 Small changes in adherence, follow-ups, or clinical values can significantly impact long-term outcomes, and care plans should help providers stay ahead of those signals. 🤖 Really interesting direction for AI-assisted and patient-centered care management.

🚀 Excited to see care plans evolving beyond static documentation into more connected and actionable care journeys. 📊 Small changes in adherence, follow-ups, or clinical values can significantly impact long-term outcomes, and care plans should help providers stay ahead of those signals. 🤖 Really interesting direction for AI-assisted and patient-centered care management.

Transforming Clinic Operations with AI-Powered Automation The Problem: One of our clients, a growing healthcare clinic, was struggling with manual appointment scheduling, patient follow-ups, and maintaining consistent patient engagement. Despite having a strong team, these manual processes were slowing growth and impacting patient satisfaction. Our Solution: We introduced a custom-built AI automation solution that integrated seamlessly with their existing software. This tool automated: - Appointment scheduling and reminders - Patient follow-ups post-visit - Data entry for patient records - Real-time operational dashboards for team management and KPI tracking The Impact: - 30% increase in patient retention due to timely follow-ups. - 40% reduction in administrative hours, allowing staff to focus more on patient care. - Improved patient satisfaction through more accurate and timely scheduling. Client's Testimonial: "Kolpo Tech’s solution has not only streamlined our operations but also allowed us to provide a better experience for our patients. The results speak for themselves!" - Dr. Smith, Clinic Owner If you're a clinic or healthcare provider looking to automate your operations and improve patient care, let’s talk!

One of the most productive weeks we've had at Vellix — and we're just getting started. 🚀 This week, we sat down with multiple small and mid-sized RCM companies across the country. Real conversations. Real pain points. Real momentum. What came out of those meetings? Serious pilot conversations. More than one. And we're now in early talks with some significantly larger groups that are paying close attention to what we're building. The market has been talking about AI in healthcare revenue cycle for years. But most of what's out there is bolt-on automation for a broken process. DenialIQ is different. Here's why this moment matters: → ~$262B in claims are denied annually in the US → 65% of those denials are never reworked → The average RCM team spends $25K+ in labor per 1,000 denials worked RCM teams are buried. They're manually working denials, chasing payers, writing appeal letters from scratch — on top of everything else. And they're still losing revenue they already earned. DenialIQ reads your 835s and EOBs, identifies denial patterns, drafts payer-specific appeal letters, and tracks everything from L1 to L3 — automatically. The ROI conversation isn't even hard. If you're running an RCM company and you're not thinking about how AI is going to reshape denial management in the next 18 months, your competitors already are. We're still early. Pilots are limited. But the interest has been real, and it's accelerating. Grateful for every operator who took the time this week. More to come. 👊 — Are you an RCM company dealing with denial volume? Let's talk. Drop a comment or DM me directly. 30-minute call. No deck, no pitch — just a real conversation about your denial workflow. #DenialManagement #HealthcareRCM #MedicalBilling #HealthcareAI #RevenueIntegrity #RCM #HealthcareRevenueCycle #AIinHealthcare #DenialIQ #MedicalCoding #HealthcareOperations

Why Patient Access Is Becoming the Most Strategic Driver of Front-End RCM Success Front-end revenue cycle management is no longer just about faster registration; it is becoming the control center for financial performance and patient loyalty. As healthcare organizations face rising denials, staffing shortages, and higher patient responsibility, patient access teams are under pressure to capture accurate data, verify coverage in real time, secure prior authorizations, and deliver clear cost estimates before care begins. The organizations leading this shift treat patient access as a strategic function that protects revenue while improving the patient experience. The most important trend is the convergence of automation, analytics, and consumer-grade access tools. Intelligent scheduling, automated eligibility verification, digital intake, and real-time benefits checks help reduce manual errors that trigger downstream claim rework. At the same time, price transparency and payment conversations are moving earlier in the journey, giving patients clearer expectations and providers a better chance to collect upfront. This is not simply a technology upgrade; it is an operating model change that aligns access, clinical workflows, and financial outcomes. For executives, the opportunity is clear: invest in front-end RCM where prevention is more valuable than correction. Clean data at the first touchpoint improves denial prevention, accelerates reimbursement, and strengthens trust with patients who increasingly expect convenience and clarity. In today’s market, patient access is not the front door alone; it is the financial gateway to sustainable growth. Read More: https://lnkd.in/dHbqSTXm #360iResearchInsights #marketresearch #PatientAccess #FrontEndRCM #RevenueCycleManagement #HealthcareIT #RCMsolutions

What if the answer to access pressure isn’t simply “more appointments”? In this real frontline session, Dr Dan Bunstone shares how his PCN started looking differently at demand, capacity and access in modern General Practice. Not by chasing the shiniest digital tool. Not by pretending demand can be wished away. But by asking some uncomfortable questions: Does this patient need Primary Care at all? Are they seeing the right person? Is the consultation as efficient as it could be? Are we investing now to reduce tomorrow’s demand? There are some brilliant practical ideas in this one — hub working, shared systems, ARRS teams, triage, proactive care, AI scribes, RPA and the realities of trying to build something that actually works. And just as importantly, Dan talks about the bits that are still difficult. The patient perception problem. The compromise between practices. The clinical safety questions. The challenge of reinvesting savings back into proactive care. This is a proper “Stories from the Front Lines” session — practical, honest and full of ideas other practices can steal and adapt. Join the Enhanced Primary Care Facebook group to watch the recording, access the resources, slides and follow-up materials.

What if the answer to access pressure isn’t simply “more appointments”? In this real frontline session, Dr Dan Bunstone shares how his PCN started looking differently at demand, capacity and access in modern General Practice. Not by chasing the shiniest digital tool. Not by pretending demand can be wished away. But by asking some uncomfortable questions: Does this patient need Primary Care at all? Are they seeing the right person? Is the consultation as efficient as it could be? Are we investing now to reduce tomorrow’s demand? There are some brilliant practical ideas in this one — hub working, shared systems, ARRS teams, triage, proactive care, AI scribes, RPA and the realities of trying to build something that actually works. And just as importantly, Dan talks about the bits that are still difficult. The patient perception problem. The compromise between practices. The clinical safety questions. The challenge of reinvesting savings back into proactive care. This is a proper “Stories from the Front Lines” session — practical, honest and full of ideas other practices can steal and adapt. Join the Enhanced Primary Care Facebook group to watch the recording, access the resources, slides and follow-up materials.