Post-Pandemic Hospital Admission
Trajectory Analysis

Longitudinal analysis of NHS hospital admission trajectories across 1,658 ICD-10 diagnostic codes. Identifying statistically significant post-pandemic trajectory shifts across cardiovascular, obstetric, neurological, renal, immune, and metabolic disease systems.

186 million

Hospital Admissions

1658

ICD-10 Codes

2016-25

Time span

10

Disease systems

Cardiovascular Trajectory Signals

Heart failure, myocarditis, arrhythmia, and conduction disorders showing convergent post-pandemic trajectory changes. Headline signals from the cardiovascular disease cluster.

Pregnancy Complication Signals

Pregnancy hypertensive disorders O10, O13, O14 showing 100% within-cluster directional coherence. Slope reversal from −2.6%/yr pre-pandemic to +29.4%/yr post-pandemic in a young, unconfounded population.
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Post-Pandemic Hospital Trends

Top anomaly signals ranked by deviation from 2016–19 baseline. Which conditions are rising fastest, which trajectories have reversed, and where the strongest statistical breakpoints concentrate.

Data Sources & Analytical Pipeline

Complete documentation of data provenance, quality controls, three-period OLS slope analysis, cluster coherence scoring, and known limitations including mortality debt and coding migration.
Meet the instructor

Dr Philip McMillan

Dr Philip McMillan is a medical doctor with a unique collaborative approach to medical research, applying the fundamentals of physiology and pathology to understand disease. Focused on COVID-19, long Covid and chronic health conditions such as dementia and arthritis.
Patrick Jones - Course author
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