BRINGING TOGETHER HEALTH RECORDS DATA FROM CLINICS IN URBAN, RURAL, AND UNDER-SERVED AREAS.
WHERE DOES DATA QUEST’S DATA COME FROM
Data QUEST data comes from the patients who visit any of the community clinics that contribute data to Data QUEST. Patients’ records may span many years, or may include one visit. Data QUEST has established pathways addressing privacy and data protection.
25 primary care clinics
227,717 patients
3220 unique providers
DATA CATEGORIES
Patient Demographics
Data QUEST has the basic patient demographic categories typically tracked in electronic health records. These include but are not limited to gender, age, race, ethnicity, and health insurance. Demographic categories tend to follow the U.S. Census categories (i.e., Caucasian, Asian, African American, etc.).
Patient Visits
Patient Visits include information about when patients interact with a provider. The data that typically get generated include which provider saw the patient, what procedures were performed, what medications were prescribed, which labs were requested, and what conditions were treated.
Diagnoses
Diagnoses are typically tracked with a description, a code (i.e., International Classification of Diseases codes or “ICD” codes), the healthcare provider that identified the diagnosis, the date it was identified, and sometimes the date it was resolved.
Procedures
Procedures data include the type of procedure and the date it was performed.
Medications
Medication data includes all medications prescribed by healthcare providers for patients in Data QUEST data. Details include medication names and instructions, dose, quantity and refill information. This may not reflect what a patient picks up, actually takes or uses, or medications prescribed by providers outside Data QUEST.
Measurements
Lab results, including the type of lab test, the date of the lab test, and the lab results. Routine vital signs data include but are not limited to blood pressure, weight, and body mass index (BMI).
Observations
Observations include the responses to screeners, health status measures that include habits that can put patients at risk (e.g., smoking, substance use), allergies, and referrals.
