AI-Assisted Chart Review Surfaced an Insight That Changed Everything for a Critical-Care Anesthesiologist at a Large Academic Medical Center

For critical care physicians, every day is an uphill battle against the fragmented, disconnected data in a patient record, to deliver excellent care and avoid avoidable outcomes. The right insight surfaced at the right moment can be the key. But every physician faces the same challenge with their EHR — the average patient record is now over 1,000 pages long, including data buried deep in scanned documents, imaging, labs, and external systems like Care Everywhere and HIEs.
A critical care anesthesiologist at a major academic medical center started their morning ICU rounds reviewing a patient who had been admitted overnight with sepsis. The admitting fellow had managed the case using best practices — early antibiotics, vasopressors, and fluids based on a bedside echo that suggested under-resuscitation.
But despite appropriate care, the patient had worsened overnight.
When the physician opened Evidently, the picture immediately shifted. “The first thing I saw in Evidently was a recent outside-hospital echo buried deep in the record — it showed clear evidence of pulmonary hypertension,” they explained. “That changed everything.”
Realizing that further fluid resuscitation was exacerbating right heart strain, the team immediately reversed course. They initiated diuresis, adjusted the patient’s management plan, and within days, the patient was off pressors and discharged from the ICU.
“Without Evidently, that echo would’ve taken hours to find — if we found it at all. The patient could’ve had a longer ICU stay, or worse.”
Evidently surfaced a buried but critical piece of data at exactly the right moment, helping that critical-care anesthesiologist and their team make a life-saving pivot — and avoid an avoidable outcome.
We’re proud to be a part of this provider’s daily workflow, equipping them with the right insights at the speed of thought so they can deliver an elevated level of care for patients like this.