01
Overview
This simulated emergency-trauma assignment required a single coherent view from records that used wall-clock time, offset time, issue time and administration time. I reconciled the encounter, quantified what was actually administered, and checked whether the model's calculations matched the source records.
02
Challenge
The main traps were additive-looking numbers that represented the same products, an issued unit that never reached the patient, two prehospital units absent from the hospital issue log, estimated versus measured weight, and early laboratory values that looked safer than the latest results.
03
Source material
- EMS run sheet and nursing note
- Trauma-bay vital-signs flowsheet
- Medication administration record
- Blood-bank component issue log
- Anesthesia/rapid-infuser record
- Serial laboratory spreadsheet
04
My work
- Confirmed all seven records belonged to the same simulated encounter.
- Mapped offset timestamps to wall clock and calculated elapsed time across 23:56 → 00:37.
- Reconciled unit identifiers across EMS, blood bank and administration records.
- Separated issued, transfused, autologous and device-cumulative quantities to prevent double counting.
- Computed component ratios and tested two different massive-transfusion thresholds.
- Recomputed a weight-based dose, an infusion rate and the significance of the latest—not earliest—laboratory values.
05
Analytical approach
Normalize the clocksKeep arrival, activation and offset time distinct, then map them to one crossing-midnight timeline.
Define what countsCount only administered allogeneic products; keep issued-not-administered, autologous and device totals separate.
Reconcile identifiersMatch each product across issue and administration sources and add the separately documented EMS units once.
Recompute against the governing inputUse the measured 95 kg weight, the correct INR tier and the latest laboratory draw.
Test conclusions against exact definitionsDistinguish a formal 10-unit threshold from a three-units-per-hour criterion.
06
Key findings
Specific examples from the completed work.
Crossing-midnight timeline
The latest entry was T+41 at 00:37. That was 41 minutes after activation at 23:56, 50 minutes after arrival at 23:47, and about 81 minutes after the estimated injury time.
Administered products, not issued products
The correct red-cell total was 9: two prehospital units plus seven in the trauma bay. An eighth hospital unit was still in a cooler and was excluded. The 4,350 mL rapid-infuser number was a device total of itemized products, not an additional volume.
Thresholds kept distinct
The formal ≥10 red-cell definition was not yet met at nine units, while the ≥3 units in one hour criterion was met. The reconciled product ratio was 9:4:2.
Weight-based dose check
Using the measured 95 kg weight and the assignment's 35 units/kg tier produced 3,325 units. The recorded 2,500-unit administration was 825 units below that reference calculation.
Infusion-rate and recency checks
A 100 mL bag intended to run over eight hours calculates to 12.5 mL/hour, not the documented 100 mL/hour. The review also anchored calcium assessment to the latest 0.78 mmol/L value rather than the earlier 1.05.
07
Deliverable
A structured encounter review with the normalized timeline, administered-product tally, ratio and threshold logic, dose/rate recomputations, laboratory trends, discrepancy notes, and a prioritized QA summary.
08
Skills demonstrated
- Timeline reconstruction
- Cross-system reconciliation
- Midnight time calculation
- De-duplication
- Issued-vs-administered logic
- Ratio analysis
- Dose and rate verification
- Recency-based data selection
Why it matters
This work demonstrates the kind of precision required in operations and model-quality roles: define the counting rule, reconcile multiple clocks, resist double counting, recompute from the right inputs, and state exactly which threshold was—or was not—met.