Center for Predictive Clinical Informatics
Hospital bottlenecks are computational problems.
CPCI is an open-access research portal reframing ER backlogs, ICU admission delays, and staffing strain as data-pipeline challenges — detectable 24–48 hours before patient care degrades.
The method
Every audit follows the same four stages.
A standardized informatics audit framework, applied consistently across every case study and essay on the platform.
System failure identification
Isolate the operational bottleneck — a six-hour wait during flu season, a stalled ICU handoff.
Data pipeline diagnostics
Pinpoint why traditional alert metrics failed to catch it in time.
Predictive computational model
Propose a forecasting metric — bed-turnover velocity, triage inflow acceleration.
Workflow integration
Fit the early-warning model into existing EHR systems without adding alert fatigue.
Case study domains
Four batches, one throughline.
Each domain gets 10+ structured micro-audits, 150–200 words each, following the framework above.
ER triage & arrival spikes
Wait-time forecasting, arrival acceleration metrics, priority queue bottlenecks.
Batch 02ICU bed turnover & transfers
Step-down unit delays, discharge prediction, vital-sign degradation triggers.
Batch 03EHR alerts & algorithmic noise
Alert fatigue mitigation, stream-processing updates, nurse notification priority.
Batch 04Regional resource allocation
Inter-hospital transfer delays, surge coordination, cross-facility bed tracking.