Additional Resources

Using Electronic Health Record Data in Pragmatic Clinical Trials

Section 9

Additional Resources


Rachel Richesson, MS, PhD, MPH

Richard Platt, MD, MSc

Gregory Simon, MD, MPH

Lesley Curtis, PhD

Reesa Laws, BS

Adrian Hernandez, MD, MSH

Jon Puro, MPA-HA

Doug Zatzick, MD

Erik van Eaton, MD, FACS

Vincent Mor, PhD


Contributing Editor

Karen Staman, MS

Resource Description

User’s Guide to Computable Phenotypes
This document provides a practical framework that will help physicians, clinical researchers and informaticians evaluate published phenotype algorithms for re-use in
various purposes. The framework is divided into three phases, aligned with expected user roles:overall assessment, clinical validation, and technical review.
Key Issues in
Extracting Usable Data from Electronic Health Records for Pragmatic Clinical Trials
A working document from the NIH Collaboratory Biostatistics/Study Design
Phenotyping Tools
Common Conditions


ADAPTABLE Tools for using patient-reported outcomes
ADAPTABLE Supplement Report: Patient-Reported Health Data and Metadata Standards in the ADAPTABLE Study Summary of patient-reported health data and metadata standards for the ADAPTABLE (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness) trial
LOINC ADAPTABLE patient-reported outcome set LOINC (Logical Observation Identifiers Names and Codes) provides re-usable standards clinical information in electronic reports.
Reference material for the patient-reported item set from ADAPTABLE in LOINC version 2.64 A GitHub repository for reference materials and slides that were used in the development of the ADAPTABLE item set





Richesson R, Platt P, Simon G, et al. Using Electronic Health Record Data in Pragmatic Clinical Trials: Additional Resources. In: Rethinking Clinical Trials: A Living Textbook of Pragmatic Clinical Trials. Bethesda, MD: NIH Health Care Systems Research Collaboratory. Available at: Updated September 21, 2018. DOI: 10.28929/038.