MADISON, NJ: Quest Diagnostics, provider of diagnostic information services, and Inovalon, provider of cloud based data analytics platform for healthcare industries, launch Data Diagnostics, a suite of real-time patient-specific data analyses that clinicians can order individually, on demand at the point of care within their existing workflow to identify and address gaps in medical history insights. The solution supports the healthcare industry's transition from volume- to value-based healthcare by providing actionable insight to improve clinical and quality outcomes as well as financial performance for practices, health plans, ACOs, hospitals and other providers across the healthcare community in real time.
"Quest and Inovalon share a commitment to empower insights leading to actions that create healthier lives. This solution is a game-changer for healthcare. Our collaboration with Inovalon also demonstrates how we are executing on our long-term strategy to generate value and differentiation from our data assets as well as our national scale and information technology," says Steve Rusckowski, President and CEO, Quest Diagnostics.
The solution draws on Quest's 20 billion clinical laboratory test results and Inovalon's clinical datasets on more than 123 million patients. Data Diagnostics provides seamless integration within Quest's Care360® and EHR lab ordering and connectivity platform serving approximately half of the physicians and hospitals in the United States. This integration means physicians can readily order and access Data Diagnostics reports within their existing clinical workflow, a functionality that is key to bringing the power of big data to the point of care in real time.
Powered by Inovalon's data interconnectivity and analytical platform, Data Diagnostics allow clinicians to order advanced analytics for their patients on-demand and, within seconds, receive results, for informed decision making during the patient encounter. Areas of focus will include several categories designed to assist health plans, accountable care organizations (ACOs), hospitals, integrated healthcare delivery systems, provider organizations, and individual physicians to achieve strong clinical and quality outcomes, utilization efficiency, and overall financial performance.
Data Diagnostics allow clinicians to request analysis on specific patients on demand, and receive the answer back within seconds. Data Diagnostics is organized into categories namely Quality-Related Data Diagnostics that allow clinicians to gain on-demand insight into patient's historical, current, or predicted clinical and quality status under models such as NCQA HEDIS®, and programs that now are used to measure quality and dictate billions of dollars of annual incentive bonuses.The results of this category informs clinicians on precise quality measure status and provide insight to facilitate improvements to quality measurements for the patient. Historical Data-Related Data Diagnostics allow clinicians to gain on-demand insight into historical disease progression, laboratory results, medication adherence, cardiac tests, vaccination histories, surgical procedures, and other factors, which can materially aid in the clinician's evaluation of the acutely ill and previously unknown patient, new patient intakes, specialty consultations, and other valuable patient assessments. The results of Historical Data-Related Data Diagnostics can save significant amounts of encounter time, improve the targeted nature of exams, save lives when patients are unable to provide data accurately.
Risk Score-Related Data Diagnostics allow clinicians to gain on-demand insight into historical risk score status, progression, diagnosis contributors and predicted future progression across all major risk score models, including Medicare Advantage and Accountable Care Organization (ACO) models. The results of Risk Score-Related Data Diagnostics provide insight to support the achievement of patient risk score accuracy, supporting accurate disease burden documentation of unaddressed or worsening conditions, and appropriate reimbursement accuracy.
Waste Avoidance-Related Data Diagnostics allow clinicians to gain on-demand insight into factors impacting care costs, such as medication prescription formulary alternatives, back imaging, head imaging, and acute care utilization. The results of Waste Avoidance-Related Data Diagnostics provide insight into the how unnecessary duplication of tests can be avoided and high-cost patient behaviors can be addressed.
Eligibility-Related Data Diagnostics allow clinicians to gain on-demand insight into patient eligibility for payment and/or support programs related to care, support and rehabilitation. Its result provides insight for clinicians, administrators and patients to determine payer eligibility , state-specific program eligibility and patient-specific support.