FAQ Category Archives:

In the Data Browser, you can perform simple cross tabulations between a single variable, such as a diagnosis of diabetes in electronic health record data, and either sex or age. To find these cross tabulations, search for a keyword, like “diabetes,” and click on the relevant results. The section will then open to display a […]

The Data Browser includes calculated genetic ancestry associations of variants. Genetic ancestry shows the part of the world where an individual’s ancestors may have lived. People whose ancestors lived in the same region of the world have similar patterns in their DNA. By comparing an individual’s DNA to the DNA of others whose ancestry we […]

The Data Browser is an interactive tool that allows you to learn more about the data collected as part of the All of Us Research Program. You can explore the survey questions and answers and physical measurements taken at the time of participant enrollment. You can also learn more about the electronic health record (EHR) […]

Participant privacy is protected in multiple ways. Personally identifiable information (PII) is any data that could potentially identify a specific individual. All PII, such as names and addresses are removed from participant records made available to the public and researchers. In addition, all data are rounded up to 20 participants. For example, if only 8 […]

When enrolling in the All of Us Research Program, participants can consent to provide the program with access to their electronic health record (EHR) data. When a participant consents, the enrolling Health Provider Organization submits the EHR to the Data and Research Center. The Data Browser uses keywords to retrieve EHR information from the Data […]

There may be a delay of several months between the time a participant consents and the time their record is included in the All of Us data that is available in the Data Browser. The delay is a result of the time it takes for participant data to be collected, transferred to the Data and […]

The Snapshots dataset includes those recently enrolled and the latest All of Us Research Program updates. The Data Browser counts may differ from Data Snapshot counts due to a delay of several months between the time a participant consents and the time his/her record is included in the All of Us data that is visible […]

One of the steps All of Us takes to protect participant privacy in the Data Browser is to round all participant counts to the nearest multiple of 20. This is especially important for medical concepts, survey answers and demographic breakdowns that have relatively few participants. For example, participant counts of 0 – 20 are all […]

For EHR Domains – Sex percentages are calculated as the [Number of participants of each sex with this medical concept mentioned in their EHR] / [Total number of sex with EHR in this domain]Age percentages are calculated as the [Number of participants in each age group with this medical concept mentioned in their EHR] / […]

The data in the All of Us Data Browser comes from participant electronic health records and from survey answers and physical measurements taken at the time the participant enrolls in the All of Us program.

Yes, all participants consent to participate in the All of Us Research Program. To learn more, visit: https://www.joinallofus.org/what-participants-share

Medical concepts are similar to medical terms; they describe information in a patient’s medical record, such as a condition they have, a doctor’s diagnosis, a prescription they are taking, or a procedure or measurement the doctor performed. In the Data Browser we refer to conditions, procedures, drugs, and measurements as electronic health record (EHR) domains. […]

A patient’s electronic health record (EHR) may contain medical information that means the same thing but may have been recorded in many different ways. For example, the condition type II diabetes may be recorded as ICD9 code 250.00 at one doctor’s office or ICD10 code E11 at another. When All of Us receives a participant’s […]

Data are updated periodically.

SNOMED stands for Systematized Nomenclature of Medicine. SNOMED connects the various terminology, medical codes, synonyms, and definitions used among different electronic health records (EHR). For example, one system might use ICD9 codes while another EHR system uses ICD10 codes. SNOMED allows the same data point from multiple EHR systems to be matched up.

LOINC stands for Logical Observation Identifiers Names and Codes. LOINC is used by health provider organizations to code laboratory test orders and results. For example, 2345-7 is the code used for the amount of glucose measured in your blood during a blood test.

ICD stands for International Classification of Diseases. ICD codes are used in the United States to classify diseases, illnesses or injuries. There are various revisions of the codes, including ICD9 (Ninth Revision) and ICD10 (Tenth Revision).

CPT stands for Current Procedural Terminology. CPT codes are a list of descriptive terms and identifying numeric codes used by physicians and health care professionals for billing of medical services and procedures.

RxNorm is a naming system for all medications available in the U.S. market. The name of each drug is a compilation of its active ingredients, strength and form. Each combination, therefore, has a unique RxNorm name.