Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records

Patient characteristics and antiseizure medication pathways in newly diagnosed epilepsy: Feasibility and pilot results using the common data model in a single-center electronic medical record database

(2022) Matthew Spotnitz et al.   EPILEPSY & BEHAVIOR

Measuring and controlling medical record abstraction (MRA) error rates in an observational study

(2022) Maryam Y. Garza et al.   BMC Medical Research Methodology

Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project

(2021) Teresa B Gibson et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Using a Multi-Institutional Pediatric Learning Health System to Identify Systemic Lupus Erythematosus and Lupus Nephritis

(2021) Scott E. Wenderfer et al.   Clinical Journal of the American Society of Nephrology

SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies

(2021) Xiaokang Liu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A Semiautomated Chart Review for Assessing the Development of Radiation Pneumonitis Using Natural Language Processing: Diagnostic Accuracy and Feasibility Study

(2021) Jordan McKenzie et al.   JMIR Medical Informatics

Real-world clinical effectiveness and safety of vedolizumab and anti-tumor necrosis factor alpha treatment in ulcerative colitis and Crohn’s disease patients: a German retrospective chart review

(2020) Ulf Helwig et al.   BMC GASTROENTEROLOGY

Semantic similarity and machine learning with ontologies

(2020) Maxat Kulmanov et al.   BRIEFINGS IN BIOINFORMATICS

Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms

(2019) April Jorge et al.   SEMINARS IN ARTHRITIS AND RHEUMATISM

Performance of a computable phenotype for identification of patients with diabetes within PCORnet: The Patient-Centered Clinical Research Network

(2019) Andrew D. Wiese et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Understanding mortality in multiple myeloma: findings of a European retrospective chart review

(2019) Mohamad Mohty et al.   EUROPEAN JOURNAL OF HAEMATOLOGY

PheValuator: Development and evaluation of a phenotype algorithm evaluator

(2019) Joel N. Swerdel et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Discovering hidden knowledge through auditing clinical diagnostic knowledge bases

(2018) Matthew C. Lenert et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Automated chart review utilizing natural language processing algorithm for asthma predictive index

(2018) Harsheen Kaur et al.   BMC Pulmonary Medicine

A computable phenotype for asthma case identification in adult and pediatric patients: External validation in the Chicago Area Patient-Outcomes Research Network (CAPriCORN)

(2017) Majid Afshar et al.   JOURNAL OF ASTHMA

Single-reviewer electronic phenotyping validation in operational settings: Comparison of strategies and recommendations

(2017) Polina Kukhareva et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Mining peripheral arterial disease cases from narrative clinical notes using natural language processing

(2017) Naveed Afzal et al.   JOURNAL OF VASCULAR SURGERY

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

(2016) Jacqueline C Kirby et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Extracting information from the text of electronic medical records to improve case detection: a systematic review

(2016) Elizabeth Ford et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Use of electronic health records to ascertain, validate and phenotype acute myocardial infarction: A systematic review and recommendations

(2015) Bruna Rubbo et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Automated methods for the summarization of electronic health records: Table 1

(2015) Rimma Pivovarov et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Identifying health outcomes in healthcare databases

(2015) Stephan Lanes et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Statistical Identification Of Patient Selection Bias In Retrospective Chart Reviews

(2015) J.E. Signorovitch et al.   VALUE IN HEALTH

Factors Affecting Accuracy of Data Abstracted from Medical Records

(2015) Meredith N. Zozus et al.   PLoS One

Exploration of heterogeneity in distributed research network drug safety analyses

(2014) Richard A. Hansen et al.   Research Synthesis Methods

Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?

(2013) Elizabeth Ford et al.   BMC Medical Research Methodology

Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network

(2013) K. M. Newton et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Challenges in Using Electronic Health Record Data for CER

(2013) K. Bruce Bayley et al.   MEDICAL CARE

Systematic Review and Critical Appraisal of Validation Studies to Identify Rheumatic Diseases in Health Administrative Databases

(2013) Jessica Widdifield et al.   ARTHRITIS CARE & RESEARCH

A systematic review of validated methods for identifying atrial fibrillation using administrative data

(2012) Paul N. Jensen et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Methods to Achieve High Interrater Reliability in Data Collection From Primary Care Medical Records

(2011) C. Liddy et al.   ANNALS OF FAMILY MEDICINE

Quantifying clinical narrative redundancy in an electronic health record

(2010) J. O Wrenn et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION