Keywords
Common Data Elements (CDE) ×
Show more Keywords
Table of contents
  1. 1. Clinical Trial
  2. 2. Routine Documentation
  3. 3. Registry/Cohort Study
  4. 4. Quality Assurance
  5. 5. Data Standard
  6. 6. Patient-Reported Outcome
  7. 7. Medical Specialty
Selected data models

You must log in to select data models for download or further analysis.

- 4/13/21 - 1 form, 9 itemgroups, 52 items, 2 languages
Itemgroups: Patient history, Anatomic High-Risk Conditions, Comorbitiy, cardiopulmonary, Patient assessment, Diagnostic Procedures, Therapeutic Procedures, invasive, Outcomes, Patient education, Outcomes
- 4/13/21 - 1 form, 10 itemgroups, 57 items, 2 languages
Itemgroups: Signs and Symptoms, Physical evaluation, Diagnostics, noninvasive, Diagnostics, invasive, Pharmacological Therapy Claudication, Exercise Program, Therapeutic Procedures, Procedure Outcomes, Clinical Outcomes, Cardiovascular Outcomes
- 4/13/21 - 1 form, 8 itemgroups, 46 items, 2 languages
Itemgroups: Patient history (AAA), Physical Assessment, Diagnostics, noninvasive, Diagnostics, invasive, Therapeutic Procedures, Patient counseling education, Follow-Up, Outcomes of Open AAA and Endovascular Repair
- 3/15/21 - 1 form, 24 itemgroups, 94 items, 2 languages
Itemgroups: Demographics, Clinical History, Prostatic specific Antigen (PSA), Diagnostic PSA, PSA Matrix, Histological Characteristics of Prostatectomy, Prostatectomy: Primary Gleason Grade, Prostatectomy: Secondary Gleason Grade, Prostatectomy: Gleason Sum Score, Histological Characteristics of Prostatectomy II, Regional Lymph node status at the time of Prostatectomy, Recurrence/Metastasis Status, Clinical verified tissue recurrence/metastasis, Staging, Pathological staging, Clinical Staging, Vital Status/Follow Up Date, Therapy Matrix, Type of Therapy, Overall Needle Biopsy Attributes, Biopsy: Primary Gleason Grade, Biopsy: Secondary Gleason Grade, Biopsy: Gleason Sum Score, Overall Needle Biopsy Attributes II
- 3/30/20 - 1 form, 1 itemgroup, 11 items, 1 language
Itemgroup: Demographic
PCORnet Common Data Model (CDM) Demographic PCORnet Common Data Model (CDM) A patient-centered approach to building an agile research platform is at the heart of PCORnet, and data serves as the backbone. Considering the large number and diverse types of organizations that are part of PCORnet, we all benefit from having a streamlined, efficient way to use the data produced by these organizations. Enter the PCORnet Common Data Model. The Common Data Model (or CDM) is a way of organizing data into a standard structure. The approach PCORnet is using to do this mirrors the approaches used by other large national research consortia. Each PCORnet partner network maps data to the same consistent format (i.e., with the same variable name, attributes, and other metadata). By undertaking this step, we create a platform that enables much more rapid responses to research-related questions. Contrast this with having to transform and prepare data each time we want to ask a new research question, and the efficiencies become clear. The PCORnet CDM is based on the FDA Sentinel Initiative Common Data Model (www.sentinelsystem.org) and has been informed by other distributed initiatives such as the Health Care Systems Research Network, the Vaccine Safety Datalink, various AHRQ Distributed Research Network projects, and the ONC Standards & Interoperability Framework Query Health Initiative. The PCORnet CDM leverages standard terminologies and coding systems for healthcare (including ICD, SNOMED, CPT, HCPSC, and LOINC) to enable interoperability with and responsiveness to evolving data standards. The PCORnet CDM (like other parts of PCORnet) will grow and evolve. Version 1.0 focused on a set of data items that are frequently available. Subsequent versions build in additional data elements which are analytically important for patient-centered outcomes research and feasible to standardize across sites.

Please use this form for feedback, questions and suggestions for improvements.

Fields marked with * are required.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial