Research Article
An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient Outcomes
Table 1
Common multilevel predictor data available in electronic health records.
| Multilevel predictors | Description | Examples |
| Reasons for visit | Descriptors of the reason for the healthcare system encounter | Ambulatory care chief complaints; inpatient admission diagnoses | Diagnoses | Descriptors of patients’ differential or final diagnosis departing the healthcare system | International classification of disease codes (e.g., ICD-10); read codes | Medical history | Descriptors of previous medical history and chronic conditions | EHR problem lists (e.g., diabetes, previous coronary artery bypass graft (CABG), hypertension) | Diagnostic and therapeutic procedures | Descriptors of diagnostic and therapeutic courses of action taken | Procedure coding system (ICD-10-PCS), surgical procedures, rehabilitation | Diagnostic exams | Descriptors of medical tests conducted | Laboratory exams, imaging exams, physical exams | Medication | Descriptors of medications administered | US Food and Drug Administration Drug Class (e.g., opioids and hydrocodone) | Administrative | Descriptor of the administrative status of patients | Inpatient, outpatient, observation |
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