Menopause Population Insights Report

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 used a 5-year “look-back” period between January 1, 2020 – December 31, 2024, to identify patients with diagnosis codes for menopausal conditions reflected in the electronic health record. The query results will enhance public awareness of the population of patients with menopausal 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.

The Coordinating Center collaborated with PCORI to develop the specifications and criteria for this data query. Collaborators developed a comprehensive list of diagnosis codes related to menopause to be included in this query. The query identified demographic and geographic characteristics of the referenced patient population with at least 1 face-to-face encounter at a site participating in PCORnet during the 1-year query period (January 1 – December 31, 2024). From this patient population, the query characterized patients who had a diagnosis code for any menopause conditions in their electronic health record within a 5-year period (January 1, 2020 – December 31, 2024). The data query also described additional co-occurring conditions, medications, procedures, and utilization of health care settings for this patient group.

Additional methods and information used to specify the query and define the cohorts are available upon request by emailing [email protected].

The Coordinating Center programmed and distributed this data query to 75 partners in PCORnet.

Access the Menopause Population Insights.

Cancer Population Insights

This report describes the results of a data query of the patients 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, 2025. The query used a 5-year “look-back” period between January 1, 2021 – December 31, 2025, to identify patients with diagnosis codes for specific malignant cancers that were reflected in the electronic health record. The query results will enhance public awareness of the population of patients with malignant cancer 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.

The Coordinating Center collaborated with PCORI to develop the specifications and criteria for this data query. Collaborators developed a comprehensive list of malignant cancers to be included in this query. The query identified demographic and geographic characteristics of the referenced patient population with at least 1 face-to-face encounter at a site participating in PCORnet during the 1-year query period (January 1 – December 31, 2025). From this patient population, the query characterized patients who had a diagnosis code for any of the given malignant cancers in their electronic health record within a 5-year period (January 1, 2021 – December 31, 2025). The data query also described additional co-occurring cancer conditions, cancer-related therapies and medications, procedures, and utilization of health care settings.

Additional methods and information used to specify the query and define the cohorts are available upon request by emailing [email protected].

The Coordinating Center programmed and distributed this data query to 74 partners in PCORnet.

Access the Cancer Population Insights

PCORnet® CRN Population Insights 2025

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, 2025. 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.

The Coordinating Center collaborated with PCORI to develop the specifications and criteria for this data query. In addition to identifying demographic and geographic characteristics of the general patient population with encounters during the 1-year query period by care setting, the patient population was also stratified by payer status and individual PCORnet® CRNs and by the following care settings:

  • Ambulatory Visit
  • Emergency Department Visit
  • Emergency Department to Inpatient Stay
  • Inpatient Hospital Stay
  • Non-Acute Institutional Stay
  • Observation Stay
  • Telehealth Visit

Additional methods and information used to specify the query and define the cohorts are available upon request by emailing [email protected].

The Coordinating Center programmed and distributed this data query to 74 partners in PCORnet.

Access the PCORnet® CRN Population Insights 2025

Sensory Health Population Insights Report

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.

Access the Sensory Health Population Insights.

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.

Access the Metabolic and Endocrine Conditions report here.

GPC Tumor Table Transformation and Linkage

The PCORnet tumor table contains data from hospital tumor registries that are formatted according to standards developed by the North American Association of Certified Cancer Registrars (NAACCR). All hospitals that are accredited by the American College of Surgeons Commission on Cancer employ trained registrars to abstract medical record data according to these specifications. Researchers can use this resource transform their own tumor registries.

Access the GPC Tumor Table Transformation and Linkage

Structured fields for demographic, clinical, and treatment observations are included, and the data are considered to be high quality. GPC tumor table documentation includes specifications for data formats, quality checks, and relationships with other CDM tables. This standardization allows linkages between NAACCR data and the other CDM tables. It also allows queries of the NAACCR data to be quickly deployed across the network.

GPC sites have already transformed their hospital tumor registry data into the PCORnet TUMOR table format. Table specifications can be found here. A sample ETL code and workflow are attached for references.

To assess the quality and quantity of tumor registry data found in the TUMOR table at GPC sites, a quality control script was created to be run against the newly created TUMOR tables. QC reports are being used for quality evaluation.

PCORnet® CRN Population Insights 2024

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.

Access the PCORnet® CRN Population Insights.

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.

Access the Women’s Health Population Insights.

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.

Access the Gene Therapy Data Report.