xCures Inc.

AI in healthcare will move only as fast as healthcare data can move.   A new report on AI and interoperability from Snowflake and partners, based on 183 U.S. healthcare decision-makers, makes that clear:   - 84.7% say interoperability is a higher priority now than 1–2 years ago. - The top drivers are very operational: roughly 74% cite efficiency, 71% patient experience, and 64% value-based care. - 64.5% have adopted agentic AI, are testing it, or plan to within 6–12 months, with early use cases in admin workflows, clinical documentation, and claims.   One more signal stands out: 77% of organizations are investing in AI technology.   For telehealth, labs, value-based care teams, and providers, the takeaway is direct. AI only delivers when data moves cleanly across systems and into real workflows.   That is the problem xCures focuses on: retrieving, extracting, and structuring patient records so healthcare teams can put AI to work on everyday operational and care-delivery tasks, instead of hunting for information.   Read the report: https://lnkd.in/e4Fa3QzP   If you find it useful, consider sharing it with your network.   Follow xCures Inc. xcures.com Decision-ready intelligence from medical records

A federal rule is about to change one of healthcare’s most stubborn manual workflows: 𝗰𝗹𝗮𝗶𝗺𝘀 𝗮𝘁𝘁𝗮𝗰𝗵𝗺𝗲𝗻𝘁𝘀.   Despite widespread EHR use, too many teams still chase documentation by fax, mail, or portal upload. HHS has now finalized national standards for electronic claims attachments and electronic signatures, with the rule taking effect May 26, 2026 and compliance required by May 26, 2028.   The scope is narrow and deliberate. These standards apply to 𝗵𝗲𝗮𝗹𝘁𝗵 𝗰𝗮𝗿𝗲 𝗰𝗹𝗮𝗶𝗺𝘀 𝗮𝘁𝘁𝗮𝗰𝗵𝗺𝗲𝗻𝘁𝘀 𝗼𝗻𝗹𝘆, not prior authorization attachments. That narrower focus lets the industry automate a high-friction process now, while other rules continue to push on prior auth.   HHS’ own math is striking: an estimated $781.98 million in annualized savings against $478.23 million in annualized costs to implement.   For providers, labs, telehealth teams, and value-based care groups, the message is practical. Clinical documentation has to move faster, with less rework, and with clearer handoffs to payers.   Healthcare leaders should use this window to redesign intake, documentation, and claims support workflows, so data can flow directly from clinical systems into payer-ready attachments.   Read the final rule here: https://lnkd.in/gSaeERc6   Follow xCures Inc. Watch our platform's demo videos: https://lnkd.in/eEzEQ3t2

Healthcare does not need AI agents that only sound smart. It needs agents that can use tools, work with messy data, and support fast clinical decisions.   A new npj Artificial Intelligence review maps six active agent use cases in care: • assisted diagnosis • clinical decision support • report generation • patient chatbots • operations and workflow management • medical education   Two results stand out: • CheXagent outperformed a general model on visual tasks by 𝟵𝟳.𝟱%. • A mixture of experts speech system improved medical keyword recognition by 𝟯.𝟰 𝘁𝗼 𝟱.𝟭 𝗽𝗼𝗶𝗻𝘁𝘀.   The pattern is clear. Healthcare is moving past simple prompts toward agents that coordinate tasks, retrieve data, and fit into real clinical workflows. The authors also draw a hard line on what must come next: safety, trust, ethics, workflow fit, and staff support. 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝗶𝘀 𝗼𝗻𝗹𝘆 𝘁𝗵𝗲 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗽𝗼𝗶𝗻𝘁.   Read the full review: https://lnkd.in/edaupf63   Follow xCures Inc. xcures.com

Providers are asking more from the EHR. They want less hunting through charts, fewer clicks, and more clinical clarity.   A recent article highlights five priorities for 2026 and beyond: better retrieval, broader use of AI, lower documentation burden, better training, and deeper interoperability.   That shift extends well beyond the EHR itself. Telehealth, labs, diagnostics, value‑based care teams, and frontline providers all depend on having the right clinical context in front of them, when they need it.   One quote stands out. 𝐀𝐦𝐛𝐢𝐞𝐧𝐭 𝐀𝐈 𝐬𝐜𝐫𝐢𝐛𝐞𝐬 𝐚𝐫𝐞 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞𝐝 𝐛𝐲 𝐬𝐨𝐦𝐞 𝐜𝐥𝐢𝐧𝐢𝐜𝐢𝐚𝐧𝐬 𝐚𝐬 “𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐥𝐢𝐟𝐞‑𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐢𝐧𝐭𝐞𝐫𝐯𝐞𝐧𝐭𝐢𝐨𝐧” 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐜𝐚𝐫𝐞𝐞𝐫𝐬. 𝐘𝐞𝐭 𝐜𝐡𝐚𝐫𝐭 𝐬𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐬 𝐬𝐭𝐢𝐥𝐥 𝐟𝐞𝐞𝐥𝐬 𝐥𝐢𝐤𝐞 𝐚 “𝐁 𝐩𝐥𝐮𝐬” ��𝐡𝐞𝐧 𝐜𝐥𝐢𝐧𝐢𝐜𝐢𝐚𝐧𝐬 𝐚𝐫𝐞 𝐚𝐬𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐚𝐧 “𝐀 𝐩𝐥𝐮𝐬.”   Read the original article: https://lnkd.in/ewkKiWeS   What would change in your organization if the EHR consistently delivered the right data at the right time?   If this resonates, share it with your network and start the conversation with your teams.   Follow xCures Inc. Wake Up to Clinical Clarity

We’re excited to welcome Abbey McLelland to xCures as Director of People Operations. Welcome to the team, Abbey!

HIMSS26 sent a clear signal: 𝗔𝗜 𝗶𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗼𝗻𝗹𝘆 𝘄𝗼𝗿𝗸𝘀 𝗮𝘀 𝘄𝗲𝗹𝗹 𝗮𝘀 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗯𝗲𝗵𝗶𝗻𝗱 𝗶𝘁.   Federal policy is shifting from pilots to execution. More than 700 organizations have now taken the CMS Aligned Network Pledge, with 2026 milestones coming into view.   The scale is real. TEFCA is now exchanging about 600 million health records across 75,000+ organizations. At the same time, more than 60 payers have committed to modernize prior authorization and answer at least 80% of electronic requests in real time by 2027.   For providers, digital health teams, labs, and value-based care leaders, this is a practical moment. Better data exchange can reduce friction, support decisions, and improve care flow. At xCures, we watch signals like these closely because they raise the bar for data quality and workflow fit.   Read the full perspective from Health Management Associates: https://lnkd.in/exa73kHk   If this was useful, consider a repost ♻️ so your network can track these shifts too.   Follow xCures Inc. Read our Newsletter: https://lnkd.in/dnNJV2ti

Interoperability has moved from back-office plumbing to operating strategy.   AI struggles when data is fragmented, delayed, or hard to trust.   New research from Rhapsody highlights the gap: • 𝟳𝟲% of healthcare leaders say advancing data integration and interoperability is a top strategic priority for the next 12–24 months • 𝟱𝟳% of U.S. physicians still name interoperability as the biggest barrier to realizing the value of health IT • Key blockers: vendor or staff limits (𝟱𝟴%), legacy systems (𝟱𝟱%), and budget constraints (𝟰𝟮%) • 𝟲𝟭% say their next integration move is connecting more external systems   For telehealth providers, labs, value-based care programs, and health systems, the takeaway is simple. 𝗔𝗜 𝘄𝗶𝗹𝗹 𝗻𝗼𝘁 𝗰𝗮𝗿𝗿𝘆 𝘁𝗵𝗲 𝗹𝗼𝗮𝗱 𝘂𝗻𝘁𝗶𝗹 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗹𝗮𝘆𝗲𝗿 𝗶𝘀 𝗱𝗲𝗽𝗲𝗻𝗱𝗮𝗯𝗹𝗲.   Cleaner access, shared definitions, and usable workflows matter more than AI theater.   At xCures we see this every day as we help teams retrieve and structure patient records into views they can actually work with. When interoperability improves, AI stops being a demo and starts saving time.   Read the full report from Rhapsody: “State of Interoperability”: https://lnkd.in/eJqVssU6   Follow xCures Inc. xcures.com

When patients ask AI before they ask you, the race has already started.   Rock Health’s 2025 Consumer Adoption Survey found that: • 𝟯𝟮% of respondents have used an AI chatbot for health information, up from 16% in 2024 • Among those users, 𝟲𝟰% ask health questions weekly or more • 𝟴𝟭% take action after a chatbot interaction, including: • 𝟰𝟬% who consulted a provider • 𝟯𝟮% who tried a new health behavior • 𝟭𝟴% who adjusted medications   People are now arriving in care with AI-shaped questions about symptoms, treatment options, drugs, side effects, and coverage. They expect fast interpretation, clear next steps, and a path into care they can trust.   That is a clear signal for telehealth leaders, diagnostic services, value-based care programs, and provider organizations.   Healthcare teams that turn AI curiosity into clinical clarity will earn the next wave of trust. The winners will be the teams that connect answers to action.   Read the original Rock Health article by Mikayla Holzwarth, Ashwini Nagappan, PhD, MBE and Madelyn Knowles here: https://lnkd.in/gfpz8gNY   𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗹𝗲𝗮𝗱𝗲𝗿𝘀: how is your organization planning for AI-informed patients?   Follow xCures Inc. Wake Up to Clinical Clarity

AI in healthcare is supposed to make decisions clearer for clinicians. This recent MedCity News piece is a sharp reminder of how easily it can do the opposite.   Mika Newton, xCures Inc. CEO, calls out a hard truth: 𝗔𝗜 𝗰𝗮𝗻 𝘀𝗼𝘂𝗻𝗱 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹𝗹𝘆 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁 𝘄𝗵𝗶𝗹𝗲 𝗯𝗲𝗶𝗻𝗴 𝘄𝗿𝗼𝗻𝗴, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗯𝘂𝗿𝗱𝗲𝗻 𝗼𝗳 𝘁𝗵𝗮𝘁 𝗿𝗶𝘀𝗸 𝗹𝗮𝗻𝗱𝘀 𝗼𝗻 𝗰𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻𝘀.   Read the article: https://lnkd.in/ex84DYH6   The challenge is no longer generating answers. It is knowing whether those answers are grounded in verified clinical data.   • For telehealth and digital health teams, speed matters, but speed without traceability creates exposure. • For labs and diagnostics, incomplete context around orders and results leads to missed signals and inconsistent decisions. • For value-based care programs, gaps in documentation translate directly into missed quality measures and revenue.   The takeaway is straightforward: 𝗔𝗜 𝗺𝘂𝘀𝘁 𝗯𝗲 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗹𝗲 𝘁𝗼 𝘀𝗼𝘂𝗿𝗰𝗲 𝗱𝗮𝘁𝗮, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗳𝗹𝘂𝗲𝗻𝘁 𝗶𝗻 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲.   At xCures, that principle shapes everything. We retrieve medical records, extract the key clinical details, and structure them so every data point is linked back to its original source. Care teams get clear summaries with a direct line of sight to the underlying reports.   Learn something? Repost ♻️ for your network.   Follow xCures Inc. Visit xcures.com to learn more about our platform

We’re excited to welcome Jake Hendershot to xCures as Director of Clinical Development. Great to have you with us, Jake.