ICD 9 Codes

Digital Rectal Exam

Described in this document are the Stanford University algorithms for extracting both cases and controls of digital rectal examination (DRE) from electronic health records (EHR) of prostate cancer patients. DRE is a clinical procedure, part of a set of quality metrics used to determine quality care for these patients. In this regard, DRE is defined as quality care when it is performed within a time period of up to six months before first treatment for prostate cancer. For the purposes of this algorithm a case is defined as DRE documented, whereas a control is DRE not documented.

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Diverticular Disease Severity, Left Colonic

This algorithm builds off prior phenotyping work from Pacheco & Thompson available in the PheKB phenotype "Diverticulosis and Diverticulitis" as well as the manuscripts from Joo et al (2023)(1) and De Roo et al (2023) (2) . The objective is to approximate diverticular disease severity from the electronic medical record into groups of Diverticulosis, Mild Diverticulitis, and Operative or Recurrent Inpatient Diverticulitis.

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Diverticulosis and Diverticulitis

An algorithm for finding patients with diverticulosis, and of those, patients who also have diverticulitis, and to also find control patients.  Control patients will have had a colonoscopy but have no evidence of diverticula.

Simple NLP (a portable program is posted here, with instructions, and support is availabe from NU as needed) of colonoscopy reports is the gold standard algorithm, but if the text of colonoscopy reports is not available, an alternate algorithm using CPT & ICD-9 codes can be used, which is also posted.

Owner Phenotyping Groups: 
eMERGE Phenotype WG
View Phenotyping Groups: 
eMERGE Phenotype WG
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Drug Induced Liver Injury

An algorithm to identify inpatients who have had an acute episode of drug induced liver injury (DILI).

Summary of drug-induced liver injury algorithm

Inclusion criteria

A. Suspect DILI? (NOTE: baseline population is institution specific.  See institution implementation details)

1.     Liver injury AND Exposure to drug (NOTE: medications are institution specific. See institution implementation details)

2.     Temporal relationship of exposure to drug and liver injury diagnosis.

Owner Phenotyping Groups: 
eMERGE Mount Sinai Group
View Phenotyping Groups: 
eMERGE Phenotype WG
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Electronic Health Record-based Phenotyping Algorithm for Familial Hypercholesterolemia

Familial hypercholesterolemia (FH) is a relatively common Mendelian genetic disorder that is associated with elevated plasma low-density lipoprotein cholesterol (LDL-C) levels and dramatically increased lifetime risk for premature atherosclerotic cardiovascular disease (ASCVD). FH can be diagnosed based on clinical presentation and/or genetic testing results, with a positive genetic testing considered to be the “gold standard”.

Owner Phenotyping Groups: 
eMERGE Mayo Group
View Phenotyping Groups: 
eMERGE Geisinger Group
eMERGE Phenotype WG
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Hearing Loss

Phenotype Description:  individuals with sensorineural hearing loss (SNHL)
Below are algorithms used to identify individuals with SNHL at BioVU. If you have questions regarding any of the information presented on this page, you may contact either:
Wei-Qi Wei at wei-qi.wei@vanderbilt.edu or Joshua Denny at josh.denny@vanderbilt.edu

Owner Phenotyping Groups: 
Denny’s Group at Vandy
eMERGE Phenotype WG
eMERGE Vanderbilt Group
View Phenotyping Groups: 
Denny’s Group at Vandy
eMERGE CCHMC Group
eMERGE CCHMC/BCH Group
eMERGE CHOP Group
eMERGE Columbia Group
eMERGE Geisinger Group
eMERGE GHC/University of Washington Group
eMERGE Harvard Group
eMERGE Marshfield Group
eMERGE Mayo Group
eMERGE Meharry Group
eMERGE Mount Sinai Group
eMERGE Northwestern Group
eMERGE Phenotype WG
eMERGE Vanderbilt Group
Vanderbilt - SD/RD Group
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