Clinicians and teams already use Evidently for work that spans many patients, one chart at a time. Over the coming weeks, new tools built on Omni will let them work across all of those patients together, starting with a clinician's own patient list.

Today we're announcing the next step in Clinical Data Intelligence. We're bringing the full, real-time picture of the full patient chart to new ways of working with many, from rounding lists to entire populations. Over the coming weeks, we'll be releasing new tools built on top of the Omni foundation, starting with a new way for clinicians to apply Skills and surface insight across the patients they see each day.

Starting with a Full, Real-Time Picture of Patient Complexity

The foundation of Evidently is Omni, an engine that ingests and indexes everything in the patient chart, including data trapped in outside records, scanned documents, and faxes, and creates a real-time picture of a patient's lifetime of complexity. Years of history, reconciled into one clinical picture and mapped to a medical knowledge graph. As new data is added to the chart, it's incorporated in real time. Every day, thousands of clinicians at leading health systems access that full picture of the patient, embedded in the EHR.

Clinicians and Teams Pioneering New Ways to Act on Full Chart Insight

Clinicians and teams have built thousands of Skills to shape Evidently around their work, and much of that work spans many patients. Research teams use it to check patients against a trial's criteria. Population health teams use it to review charts for open care gaps. Care coordinators use it to see what stands between a patient and a safe discharge. Clinicians run the same Skill on patient after patient before a shift or a clinic day. Each of them does it one chart at a time, and the next natural ask has always been the same: "Can I run this on all my patients at once?"

"When we unveiled Omni and Skills in September, the question we heard most was: what comes next? Our customers had already answered it, and we'd already started building it. They were using Evidently for research, population health, and hospital operations, one patient at a time, and asking us to surface insight across their patients, whether it was a 20-patient rounding list or thousands of lives in a value-based care population," said Kai Romero, MD, Head of Clinical Success at Evidently.

From Patient to Population

One of the biggest challenges in patient care and documentation quality is that so much of a patient's story sits where no one can easily see it: the scanned outside record from a decade ago, the fax from a referring physician, the imaging report, the document from another health system's exchange. Most clinical tools never read it. Evidently is the only platform that reads the entire longitudinal patient history before anyone asks, keeps a real-time picture of each patient's complexity, and puts it wherever the health system needs it.

None of those point-function tools reads the whole record, and each one falls short in its own way. So the hospitalist, the revenue cycle team, and the population health team each see a different, incomplete version of the same patient's complexity. The result is care that doesn't account for the details that matter, and documentation that doesn't capture the complexity of the care actually delivered.

Start with a full picture of every patient, then open the right view into it for each team, and those gaps close. Everything we're announcing over the next few weeks is unlocked by this foundational approach with Omni: new windows into that full picture, from a single patient to an entire population, each shaped to the person using it. It's the same approach behind the results our customers already see: 4–5 quality-impacting conditions found missing per admit note across five health systems, 97% suggestion accuracy in a peer-reviewed study at University of Iowa Health Care, a 0.1 increase in Case Mix Index and a 31.7-point gain in Net EHR Experience Score at Iowa, up to 40 minutes a day saved on chart review at UNC Health, and 6x ROI reported by Allina Health in its first 90 days of HCC capture.

"Every population is made of individual patients with long, complicated histories that keep changing. If you can't read everything, all the time, you have to settle for a stand-in: the billing record, a sample, last month's snapshot. We built Omni so we'd never have to make decisions on partial information. The answers that matter, clinically and financially, are in the patient record," said Kalie Dove-Maguire, MD, President and Chief Product Officer of Evidently.

We have such an exciting few weeks coming up, and we want to say a heartfelt thank you to the users who have helped us shape these new surfaces and use cases.

About Evidently

Evidently is the leading Clinical Data Intelligence platform, bringing the entire longitudinal patient history back into the EHR workflows clinicians and revenue teams rely on every day, with every insight linked back to its source. That includes the scanned documents, faxes, outside records, imaging reports, and data in external systems like Care Everywhere and CommonWell that the EHR was never built to read. Allina Health, UNC Health, University of Iowa Health Care, and other leading health systems across the United States use Evidently across inpatient, outpatient, and emergency settings, with peer-reviewed accuracy and published clinical and financial outcomes. For more information, visit evidently.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20261009343177/en/