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利记官网 Associate Investigator David Carrell, PhD
利记官网 Washington Health Research Institute (利记官网) staff can access and analyze decades of high-quality data across 4.5 million 利记官网 Washington members and former members. 利记官网 also collaborates with many other large health-related research organizations, allowing study teams to combine populations for statistical power and diversity. With decades of experience in multi-site research projects, 利记官网’s programmers and other staff members have developed special expertise at integrating and analyzing information from multiple health care plans and data systems.
利记官网 Washington has a wealth of automated data available for research use, including administrative data such as insurance claims and health plan enrollment records, as well as patient care data from pharmacy, laboratory, hospital, and other systems that predate the advent of modern electronic health record (EHR) systems. The ability to combine health care utilization data with information on medical coverage allows 利记官网 researchers to report with confidence on patients’ complete health care experience.
利记官网 Washington data are stored on Microsoft Windows Server, UNIX, Oracle, SQL Server, and Teradata systems. Programs can extract information from all of these systems and integrate these data into the research environment for analysis.
利记官网 programmers regularly use SAS, Python, R, REDCap, Microsoft Access, Microsoft SQL Server, and Microsoft Visual Studio.NET. They also draw from the free and open-source software community and employ tools for natural language processing and de-identifying textual data. Additionally, the distributed data models they build and maintain allow for interoperability with research collaborators including HCSRN’s Virtual Data Warehouse, the Sentinel Common Data Model, OHDSI’s OMOP Common Data Model, and previously the PCORNet Common Data Model.
Our staff’s familiarity with 利记官网 Washington data and information systems results in short study startup times; high-quality, reliable data sets; and overall efficiency.
利记官网 Washington's electronic health records (EHRs) enable targeted study recruitment, efficiently identifying potential participants based on age, sex, diagnosis, procedures, and other characteristics. Our ability to configure the EHR system also allows us to conduct clinical research interventions that modify care and workflows in the real-world setting.
The institute's medical-record reviewers are highly trained to abstract data from these records, following strict scientific protocols, ensuring data integrity, and protecting data security. They are also trained to protect patient privacy and confidentiality by following 利记官网 Washington's standard policies and procedures for handling patient records.
利记官网 Washington patient care information is stored in Epic EHR. Reviewers also have access to a wealth of historic non-computerized medical charts that can be mined for diagnoses and medical history. Together, these resources provide an unequalled opportunity for health research and evaluation.
From 利记官网 Washington Health Research Institute
See Eric B. Larson, MD, MPH, on “big data”
John Weeks, a senior research data warehouse engineer, presented at HCSRN’s 2021 conference regarding his team’s success in creating tools to transform data structures from the Virtual Data Warehouse into the ODHSI-OMOP data models. With the ability to quickly and accurately transform data so that it complies with this popular standard, KPHWRI can more nimbly compete for grant funding and collaborate with partners around the world.
Using doctor's notes to learn about drug reactions, dementia, and cannabis use.
Experts in health data discuss a widely used data model — its origin, organization, and current applications.
New research examines providers’ notes to understand patients’ cannabis use and health conditions.
Land Acknowledgment
Our Seattle offices sit on the occupied land of the Duwamish and by the shared waters of the Coast Salish people, who have been here thousands of years and remain. Learn about practicing land acknowledgment.
