Brahmanand (Reddy) Shivampet

Early prediction improves outcomes and strengthens unit economics. In this POV, Vimaldeep Singh Lamba (Associate VP – Healthcare, #RSystems) shares how multimodal AI fuses routine EMR signals into early, explainable risk predictions, enabling proactive interventions and more sustainable care delivery. Download the POV: https://lnkd.in/dRz-hmGZ #HealthcareAI #PredictiveAnalytics #DigitalHealth #HealthTech

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Prioritizing patient data security isn't optional—it's foundational. Check out our latest blog on why HIPAA compliance in claims-pricing software is a must and how to stay ahead with best practices. 👉 https://lnkd.in/euKAfp8X

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Zombie apps quietly destroy M&A synergy value. Our CEO, Jason Rose, was recently featured in Forbes Technology Council discussing one of the most underutilized levers in healthcare M&A: retiring legacy applications faster. In today’s margin-constrained environment, redundant “zombie apps” inflate TSAs, compound OpEx, and delay synergy realization—especially when IT isn’t engaged early in the deal. The reality: 20–30% of applications in post-merger environments are redundant or obsolete, yet they stay live simply to preserve access to historical data. At Clearsense, we help health systems unlock M&A value by decommissioning legacy applications while preserving compliant, on-demand access to the data that still matters. The result: • Shorter TSAs • Lower operating costs • Reduced risk • Faster, measurable P&L impact Read the full Forbes article below to see why application rationalization is quickly becoming a board-level M&A priority. https://lnkd.in/eZYp932R

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Could instant reimbursements soon become the norm in healthcare? That’s the vision driving Suki’s latest expansion in AI-powered coding. Read the feature in Newsweek, with insights from our CEO Punit Soni, to discover how Suki’s new assisted revenue cycle capabilities take automation and accuracy to the next level. By combining ambient listening with advanced coding intelligence, Suki now generates ICD-10, CPT, and E/M codes directly from clinical conversations—complete with transparent, evidence-backed documentation. The result? Faster, cleaner claims. Stronger revenue cycles. A step closer to real-time reimbursement. The future of healthcare efficiency is here, and it’s intelligent, interoperable, and ambient. 🔗 Read the full Newsweek article: https://lnkd.in/eANCX352

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Some of the most interesting conversations around payer data infrastructure are happening in California right now. But the questions being asked there, such as how to ensure encounter data integrity, how to enable cross-sector data exchange, and how to make clinical and claims data operationally usable, are the ones that health plans across the country are working through. Our own Sue Riddell will be attending California Association of Health Plans Strengthening Data Infrastructure seminar next week. If you’ll be there and would like to connect, reach out to Sue.

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New: Self-healing AI for prior auth follow-up automations is here. When payer portals change, prior authorization workflows can break. Follow-ups stop. Cases hit manual queues. Fixes take time. Now, our agents adapt in real time. So there’s no need for a team member to step in and no need for developers to make hotfixes. The agent spots changes, adjusts safely, and keeps the task moving. Self-healing automation: - Handles layout shifts and popups - Applies AI-driven fixes at runtime - Falls back to human review if needed - Logs everything for fast, permanent fixes That means fewer delays, less rework, and a smoother path from auth to payment. Ready to see what next-gen prior auth workflows looks like? Book a demo at https://lnkd.in/gabiH8ta

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#Medicaltranscription plays a vital role in significantly improving the standards of clinical documentation. From enhancing accuracy and productivity to fostering coordination, strengthening data quality, integrating EHRs, and ensuring security; it streamlines workflows while keeping patient care at the core of everything. https://lnkd.in/gPzG-ACq

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