This report describes the results of a data query of the patients with sensory-related health conditions that had at least 1 face-to-face encounter and a recorded diagnosis code (e.g., ICD-10) at a health care setting across PCORnet between January 1 – December 31, 2024. The query used a 5-year “look-back” period to identify patients with diagnosis codes for specific sensory-related health conditions that were reflected in the electronic health record. The query results will enhance public awareness of the population of patients with sensory health conditions as well as utilization of health care services by these patients across sites participating in PCORnet that potentially would be available for future health care research.
Data Science
Pertaining to the development of methods, recording, and analysis of data to effectively extract information in the application of PCOR
Master Code Set
The master code set provides a centralized, standardized reference of clinical codes across various disease areas along with their corresponding descriptions and classifications. It is designed to support consistent cohort definition, analysis, and reporting by ensuring uniform use of codes across studies and sites. By consolidating all relevant codes into a single, curated resource, the master code set reduces ambiguity, improves reproducibility, and streamlines multi-site research workflows. This comprehensive mapping enables researchers to efficiently identify, compare, and analyze patient populations across a wide range of conditions and data domains.
View the master code set. (Excel File)
Metabolic and Endocrine Conditions Population Insights
This report describes the results of a data query of the patients with selected metabolic and endocrine conditions that had at least 1 face-to-face ambulatory encounter and a recorded diagnosis code (e.g., ICD-10) at a health care setting across PCORnet between January 1 – December 31, 2024. The query used a 5-year “look-back” period to identify patients with diagnosis codes for specific metabolic and endocrine conditions that were reflected in the electronic medical record. The query results will enhance public awareness of the population of patients with metabolic and endocrine conditions as well as diagnosis codes related to overweight and obesity across sites participating in PCORnet that potentially would be available for future health care research.
PCORnet® CRN Population Insights
This report describes the results of a data query of the patient population with at least 1 face-to-face encounter and a recorded diagnosis code (e.g., ICD-10) at a health care setting across PCORnet between January 1 – December 31, 2024. The query results will enhance public awareness of the population of patients across sites participating in PCORnet that potentially would be available for future health care research.
Women’s Health Population Insights
This report describes the results of a network data query of the patient population of women receiving health care services at clinical sites across PCORnet between January 1, 2019 – December 31, 2023. The query results will enhance public awareness of the population of patients that are women across sites participating in PCORnet that potentially would be available for future health care research.
Gene Therapy Data Report
This query of PCORnet data resources describes the patient population who have undergone gene therapy between January 1, 2016, and June 30, 2024, with distinct cohorts created for gene-therapy-eligible cancer patients and gene-therapy-eligible noncancer patients. The query results will enhance public awareness of the utilization of gene therapies by relevant health conditions across sites participating in PCORnet.
Mental and Behavioral Health Data Report
This report characterizes the patients with recorded diagnosis codes for mental and behavioral health (MBH) conditions that received care at health care settings across institutions participating in PCORnet.
The tables in this data report present aggregate data on patients with recorded diagnosis codes for MBH conditions, as well as the demographic characteristics, healthcare use, and prescribing of common psychiatric medications for these patients between January 1, 2021, to December 31, 2022. The data report will inform how PCORnet can be used for patient-centered CER studies on interventions related to MBH conditions, and to inform opportunities to enhance PCORnet data resources for MBH research.
Characteristics of the Pediatric Population Across Clinical Research Networks Participating in PCORnet®
This query of PCORnet data resources describes the sociodemographic and clinical characteristics of the population of pediatric patients ages birth to 20 years old with at least one face-to-face health care encounter at a PCORnet partner site between January 1, 2023 – December 31, 2023. The query results enhance public awareness and provide investigators and the public with information on ways PCORnet can be used to conduct patient-centered CER to improve the health of children and youth.
Maternal Morbidity and Mortality (MMM) Data Report
This query of PCORnet® data resources describes the sociodemographic and clinical characteristics of a population of patients with a pregnancy-related event that had a healthcare encounter at a partner site between October 1, 2016 – January 1, 2022. The query results will inform how PCORnet can be used for patient-centered comparative clinical effectiveness research (CER) research on MMM and to inform opportunities to enhance PCORnet data resources for MMM research.
Characterizing Telehealth Visits Across Clinical Research Networks Participating in PCORnet®, The National Patient-Centered Clinical Research Network
This query of PCORnet® data resources explores the use of telehealth services among patients at partner sites. The query results aim to showcase how the PCORnet infrastructure can identify disparities in telehealth delivery, understand trends pre- and post-COVID-19, and illustrate how populations managed chronic conditions using telehealth services throughout the pandemic.