Apella - Blog

From Reacting to Preempting: Rethinking How ORs Handle Delays
To understand the operational impact of proactive delay intervention, Apella analyzed phase-level delay durations across a subset of its customers (nearly 250 operating rooms) before and after the introduction of Delay Alerts.

Extending Ambient Intelligence from the Patient Room to the OR
AvaSure and Apella partner to deliver purpose-built ambient intelligence across the enterprise – helping hospitals avoid the compromises of one-size-fits-all platforms.

What Physician Buy-In Really Looks Like in the Operating Room
Clinicians adopt tools that deliver clear, immediate value and fit into their existing workflows. They disengage from those that don’t. Apella surveyed physicians to assess how real-time case event notifications fit into day-to-day clinical workflows.

The Pilot Dilemma in Healthcare AI
The pilot approach can be slow and resource-intensive, and it places the burden of validation on the very leaders who are already juggling day-to-day operations. What's needed is a way to communicate insights that will resonate with executive leadership.

Calculating How Many More Cases Your ORs Could Run
Estimate your hospital's opportunity to increase surgical access and capacity with operating room intelligence — but without adding ORs, staff, or hours.

How Ambient AI Prevents Case and Turnover Delays in the OR
When a phase starts to run longer than expected, an alert appears while there is still time to act. Instead of reacting after delays have already impacted the day, teams can intervene while there’s still an opportunity to contain unplanned late time.

Why Hospitals Struggle with OR Delays — Even When Days Start On Time
OR leaders and staff are working hard every day to keep things moving. So what’s preventing teams from managing these delays? The systems and data on which they rely have fundamental gaps that make real-time delay management nearly impossible.

Key Insights from ViVE and HIMSS 2026
Systems of record in the operational and workflow domains still need significant improvement, particularly in transforming unstructured data into structured, usable formats. The organizations that succeed will be those that can deliver high-quality data as a foundational layer.

Apella's Vision for 2026 and Beyond
When you scale to enterprise deployment, the dynamic changes. You’re no longer working with people who feel it’s their job to give you feedback. You’re working with people who expect it’s your job to make their lives better and solve the problems they face every day.

How MUSC Unlocked OR Efficiency Opportunity in Just 60 Days
Improving OR utilization starts with understanding how time is actually used. By moving from assumptions to real-time data, MUSC identified the true drivers of inefficiency, aligned teams around a trusted source of truth, and began driving improvements within weeks — not months.

Apella's Ambient AI Was Independently Peer-Reviewed; Here's What the Research Found
A peer-reviewed BMJ Health & Care Informatics study, across more than 100,000 surgical cases, demonstrates what decision-grade ambient AI looks like when performance, validation, and scale are rigorously measured.

5 Key Questions to Ask When Evaluating Ambient AI for Your Hospital
As ambient AI becomes foundational to hospital operations, choosing the right solution requires more than a demo. This executive checklist outlines what to ask about model quality, validation, and performance at scale so you can select technology that drives measurable impact with confidence.

How Tampa General Identified 56 Hours of Capacity Per Week Through Block Analysis
Apella provided TGH a day-by-day view of current utilization and forecasted demand. For each block, the team forecasted the hours truly needed to meet expected case volume based on historical patterns, then compared those hours to current allocations to find untapped capacity and schedule more cases.