The head of medical services in a private urban hospital, who was also responsible for patient safety, noticed that the ICU department was accepting more admissions than expected. In particular, patients undergoing a type of routine surgery were receiving ICU care.
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Using our platform, Piano, electronic health data was extracted and mapped to the required fields (anonymised patient demographics, ADT, procedures, medications).
Using our analytics toolbox research workflows were created to:
Automatically include patients according to inclusion/exclusion criteria.
Segment the included patient population into cohorts of patients that have undergone the particular surgery and compare them with two control arms: patients undergoing any surgery and all included patients.
Compares the cohorts’ use of ICU analysed by day of the week, month of the year, and medication.
An automatic report was generated that described the research workflow and detailed the findings.
A report for submission was createdin under 2 weeks of part-time work, asopposed to the original timeframe of 6months full time work.
