ArticleEGEMS (Washington, DC)2016
New Paradigms for Patient-Centered Outcomes Research in Electronic Medical Records: An Example of Detecting Urinary Incontinence Following Prostatectomy.
Article in EGEMS (Washington, DC), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Utilization of Prostate Cancer Quality Metrics for Research and Quality Improvement: A Structured Review.Joint Commission journal on quality and patient safety · 2019Pooled it
- Big Data Analytics in Urologic Oncology: A Comprehensive Review of Large-scale Database Research and Clinical Applications.Current urology reports · 2026Review
- Review
- Graph augmented transformers improve chemotherapy toxicity symptom extraction from clinical notes.Nature communications · 2026Article
- Harnessing patient health data to benefit individuals and advance research: a focus on rheumatoid arthritis - a narrative review.BMJ digital health & AI · 2026Review
- The Stanford Medicine data science ecosystem for clinical and translational research.JAMIA open · 2023Article
- Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models.Diagnostics (Basel, Switzerland) · 2023Article
- Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant Registries.JAMA network open · 2021Article
- Phenotyping severity of patient-centered outcomes using clinical notes: A prostate cancer use case.Learning health systems · 2020Article
- Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research.JCO clinical cancer informatics · 2020Article
- Leveraging Digital Data to Inform and Improve Quality Cancer Care.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.Kidney international · 2020Article
- Clinical Documentation to Predict Factors Associated with Urinary Incontinence Following Prostatectomy for Prostate Cancer.Research and reports in urology · 2020Article
- Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records.Cancer research · 2019Review
- Extracting Patient-Centered Outcomes from Clinical Notes in Electronic Health Records: Assessment of Urinary Incontinence After Radical Prostatectomy.EGEMS (Washington, DC) · 2019Article
- Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment.JAMIA open · 2019Article
- Quality improvement initiatives in rheumatology: an integrative review of the last 5 years.Current opinion in rheumatology · 2019Review
- Architecture and Implementation of a Clinical Research Data Warehouse for Prostate Cancer.EGEMS (Washington, DC) · 2018Article
- Leveraging the electronic health record to improve quality and safety in rheumatology.Rheumatology international · 2017Review
- Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
introductionNational initiatives to develop quality metrics emphasize the need to include patient-centered outcomes. Patient-centered outcomes are complex, require documentation of patient communications, and have not been routinely collected by healthcare providers. The widespread implementation of electronic medical records (EHR) offers opportunities to assess patient-centered outcomes within the routine healthcare delivery system. The objective of this study was to test the feasibility and accuracy of identifying patient centered outcomes within the EHR.
methodsData from patients with localized prostate cancer undergoing prostatectomy were used to develop and test algorithms to accurately identify patient-centered outcomes in post-operative EHRs - we used urinary incontinence as the use case. Standard data mining techniques were used to extract and annotate free text and structured data to assess urinary incontinence recorded within the EHRs.
resultsA total 5,349 prostate cancer patients were identified in our EHR-system between 1998-2013. Among these EHRs, 30.3% had a text mention of urinary incontinence within 90 days post-operative compared to less than 1.0% with a structured data field for urinary incontinence (i.e. ICD-9 code). Our workflow had good precision and recall for urinary incontinence (positive predictive value: 0.73 and sensitivity: 0.84). DISCUSSION: Our data indicate that important patient-centered outcomes, such as urinary incontinence, are being captured in EHRs as free text and highlight the long-standing importance of accurate clinician documentation. Standard data mining algorithms can accurately and efficiently identify these outcomes in existing EHRs; the complete assessment of these outcomes is essential to move practice into the patient-centered realm of healthcare.
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