Digital Rectal Exam

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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.

Unstructured Data: 
NLP
Structured data: 
CPT
ICD10
ICD9
Files: 
DRE_Phenotype.pdf
Information
Phenotype ID: 
1205
Date Created: 
Monday, May 13, 2019
Status: 
Final
Do Not List on the Collaboration Phenotypes List
Contact information
Contact Author: 
Tina Hernandez-Boussard
Authors: 
Selen Bozkurt, Kathleen Mary Kan, Michelle Ferrari, Daniel L Rubin, James D Brooks, Tina Hernandez-Boussard
Institution: 
Stanford University School of Medicine
Demographics
Gender: 
Male
Age: 
Adult
 

Suggested Citation

Selen Bozkurt, Kathleen Mary Kan, Michelle Ferrari, Daniel L Rubin, James D Brooks, Tina Hernandez-Boussard. Stanford University School of Medicine. Digital Rectal Exam. PheKB; 2019 Available from: https://phekb.org/phenotype/1205

PubMed References

30815067 31324681

    Comments

    Bozkurt, S., Kan, K. M., Ferrari, M. K., Rubin, D. L., Blayney, D. W., Hernandez-Boussard, T., & Brooks, J. D. (2019). Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study. BMJ open, 9(7), e027182.

    https://bmjopen.bmj.com/content/9/7/e027182