Despite spending more money on healthcare than any other industrialized nation, the United States lags considerably behind in most measures of healthcare quality, outcomes, costs and efficiency. The US spends $139 billion each year in healthcare research, but most of this research does not help patients and doctors make better healthcare decisions, because it is either not relevant to real-world situations doctors and patients face, or the research evidence is not readily accessible or easily implemented into current clinical practice. The healthcare system lacks the components of a learning healthcare system, which would allow for continuous evaluation of healthcare practices, delivery, and experiences and for continual learning and improvement. What is needed is a system that tracks quality and costs, drives improvements in care by learning from the experiences of patients, and provides a mechanism for quickly translating research evidence into clinical practice.
CERTAIN is the learning healthcare system in Washington State, a network of over 50 diverse healthcare provider organizations participating in continuous evaluation of healthcare delivery, generation of evidence through research, and learning to get to better patient care. CERTAIN is a suite of projects and programs that track quality, benchmark best practices, drive improvement, and allow all healthcare stakeholders to have their input heard as to what is needed to improve the system.
Making Use of CERTAIN Resources: Potential users (e.g., research investigators, hospitals and clinics, payers, industry, policymakers) may request use of CERTAIN data or the CERTAIN network for relevant research or quality improvement projects or analyses outside of current CERTAIN primary project activities.
Examples of potential data or network use includes, but is not limited to:
- Requests for research data or aggregate data reports from healthcare stakeholders (e.g., individual hospitals, other researchers, corporate partners, healthcare payers, state governing bodies, etc.)
- Use of existing CERTAIN data
- New research studies
- Patient Voices, Patient-Reported Outcomes data
- PROs in Practice