Table 1 Abstract inclusion–exclusion criteria
Searching Query | [A phenotype of interest term] a AND electronic health record (code OR codes OR algorithma or "case definition" OR "phenotyping" OR "case identification" OR claim OR administrative) |
|---|---|
Inclusion Criteria | 1. Abstracts should satisfy each of the following: English, full text available, and original research 2. The primary source of data is electronic health record (EHR) or electronic medical record (EMR). Some accepted terms: Registry, administrative data 3. The article should use observational data (population-based, surveillance, or cohort/cases) either retrospectively or prospectively 4. Clearly describe a case definition or algorithm according to any of the following criteria: coding algorithms (SNOMED, ICD9/10, CPT, LOINC, RxNorm, UMLS, READ), laboratory, natural language processing (NLP), or inclusion and exclusion criteria |
Exclusion Criteria | 1. Review articles 2. Non-human studies 3. Nurses/practitioners as the primary population of the study 4. Not real-world data: e.g. simulation data 5. Tools, systems, or reporting systems that do not address phenotyping or description phenotype definition |