For patient safety leaders at mid-to-large health systems, rising event-reporting volume is a genuine sign of progress. But it also creates a harder operational problem. More events entering the system means more decisions to make, more noise competing with serious signals, and a manual review process that was built for a different scale. The good news and the pressure are the same thing. Reporting Volume Is Climbing. That Is Good News. In 2024, Pennsylvania’s patient safety reporting system received 315,418 event reports. That was a 9.5% increase from the prior year. Hospital reporting rates reached 32.2 reports per 1,000 patient days. Serious event reports rose 7.3%, and high-harm events increased 1.1%. These numbers are typically interpreted as evidence of an improving reporting culture, and that interpretation is correct. Higher volume reflects a system where staff feel safe enough to report, where definitions of what counts as a reportable event have expanded closer to regulatory expectations, and where the friction of submitting a report has been reduced. Organizations that have spent years building psychological safety, simplifying intake workflows, and reinforcing that reports lead to action are seeing that investment pay off. The World Health Organization estimates that 1 in every 10 patients is harmed during healthcare delivery, and more than 50% of that harm is preventable. Under capturing events keeps organizations working from an incomplete picture. More reporting means a more complete one. The Triage Challenge That Comes With It Here is where progress creates pressure. As more reports enter the system, patient safety teams need a more structured way to determine what requires immediate escalation, what warrants deeper investigation, and what can be handled through standard review. When that structure is missing, high-severity events compete with low-severity operational noise in the same manual review queue. Teams are left making prioritization decisions under time pressure, without consistent criteria, based on whatever information is visible at the moment of review. One risk manager at a large academic medical center described the daily challenge this way: “What is the most important thing I should work on today? What happened in the last 24 hours at my organization?” That question is reasonable. For most patient safety teams, a reliable answer requires reviewing everything in the queue, in the order it arrived, and making judgment calls on the fly. The stronger the reporting culture, the longer that queue gets. What Manual Review Misses The core limitation of manual triage is that it depends on reviewers already knowing what to look for. Keyword searches, filtered reports, and pattern recognition built from experience can surface events that match a known risk profile. They are less reliable when the risk is emerging, distributed across departments, or hidden inside contributing factors that look routine at the event level. A patient safety leader at a large integrated health system put it plainly: “The time it takes to review safety events every morning is huge. We have to review all 90 events just to find: was there a variation in practice? That’s the thing that needs to be flagged.” Serious Safety Events (SSE) rarely announce themselves clearly at first report. SSE potential has to be actively detected. When review depends on individual capacity and available time, the events that most need escalation are at risk of being treated like the ones that do not. Corrective actions face a related challenge. Research published in Patient Safety found that 76% of corrective action strategies were low-leverage, relying on human behavior change rather than system-level interventions. Only 8% were classified as high-leverage. Marking a corrective action complete is not the same as validating that it reduced risk. When the volume of events is high and review processes are manual, that validation step is often the first thing to go. The Signals Hidden Inside the Noise Cross-event pattern detection is where manual processes face their steepest limits. Individual events are data points. Patterns are insights. Recurring contributing factors, unit-level clusters, and early warning signals that span departments or event types require connected data and structured analysis. They are unlikely to surface through a morning review of 90 individual reports. This is compounded by fragmentation. When patient safety, quality, risk, compliance, and EHS data live in separate systems, the patterns that cross those boundaries stay invisible. A medication event in one unit and a handoff failure in another may share a contributing factor that only becomes visible when the data is connected. By the time it surfaces through manual detection, the window for early intervention has often closed. The gap here is specific: organizations with strong reporting cultures are generating the data that could reveal these patterns. The infrastructure to act on it consistently is what many programs are still building. Matching Your Prioritization Process to Your Reporting Culture Patient safety teams that are making the most progress have addressed both sides of the problem. They have built the conditions for more complete reporting, and they have the process and infrastructure to act on what comes in. That means treating reporting volume as a leading indicator of safety culture, applying structured triage criteria so the most consequential events surface first, and validating whether corrective actions are actually changing the conditions that contributed to the event. This is the gap many patient safety leaders are working to close: the distance between a reporting culture that is functioning well and a prioritization process that can consistently keep pace with it. Origami Risk helps healthcare organizations manage patient safety events, prioritize investigations based on risk rather than arrival order, and connect corrective actions to measurable improvement. All within a platform that also connects patient safety to claims, workforce safety, and operational governance workflows. The goal is decision support that enhances clinical judgment, surfaces risk signals earlier, and makes it possible to answer the morning question with confidence. The guide goes deeper on each stage of the process, from triage methodology to investigation criteria to corrective action effectiveness. Download The Patient Safety Leader’s Guide to Patient Safety Event Prioritization to get the full framework.