Value-Based Healthcare Organization/Solutions

Success Stories

Health Catalyst

Analytics and Provider Operations Support Generates Nearly $2M in Shared Savings

Acuitas Health was challenged to identify opportunities for shared savings, reducing cost while also improving quality outcomes. Using Acuitas Health’s advanced analytics, providers and payers can now connect, communicate, and share insights that enable the organizations to identify opportunities to decrease costs for all partners, and increase outcomes that yield benefits in several areas, including quality improvement, claims optimization, and risk adjustment.

Health Catalyst

Analytics Improves Population Health and Drives Efficiencies

agilon health, an organization that partners with physician organizations in full risk contracts, needed a way to help its physician partners and care management staff quickly identify patients in danger of deteriorating health status and increased cost. However, taking a deeper look at the health status and costs associated with these patients was complicated by the slow manual review of data. By developing an analytics application, agilon health was able to turn its data into actionable insights, automate many manual processes, and ultimately provide targeted improvement interventions aimed at better care delivery.

Health Catalyst

Responding and Recovering in Clinic Operations with Advanced Analytics

Acuitas Health was challenged to assist the providers it supports in rapidly modifying clinic operations to address COVID-19. Leveraging the Health Catalyst® Data Operating System (DOS™) platform, Acuitas Health is able to aggregate and visualize new data, supporting its clients in quickly transitioning to telehealth, and monitoring and managing the impact of canceled appointments on operational and financial performance.

Health Catalyst

Closed-Loop Analytics Supports Data-Driven Medical Management

Acuitas Health improved access to data for its partner clinicians by using its data platform and closed-loop analytics to integrate data from more than ten disparate systems. Clinicians receive patient-specific details before the patient visit, allowing them to identify opportunities for health maintenance, improve quality, support data-driven medical decision making, increase adoption of best practices, and improve hierarchical condition category (HCC) coding.

Health Catalyst

Data-Driven Practice Intelligence Increases Provider Engagement and Strengthens Improvement Efforts

To address physicians’ concerns with value-based care requires timely and actionable data for generating insights and initiating improvement programs. Read how Acuitas Health utilized its analytics platform to support the development of practice intelligence profiles—comprehensive views of partner practices used by the practice intelligence team to increase provider engagement and strengthen improvement efforts.

Health Catalyst

Care Management Solutions Improve Sprint to Value

Data-driven decisions and analytics are critical for organizations and physician practices transitioning to value-based care, although many organizations struggle with measuring the effectiveness of these population health initiatives.
To obtain sophisticated, actionable analytics and automate processes, Acuitas Health deployed the Health Catalyst® Patient Intake and Care Coordination applications concurrent with beginning the implementation of the Health Catalyst Data Operating System (DOS™) platform.  Acuitas meets the needs of its customers through a sprint to value—going faster than the typical time to value. The concurrent implementation approach used in this roll out set the pace for that sprint to value. In less than 60 days, the organization successfully implemented these tools and began receiving value. Acuitas is now able to:

Collect discrete data, and begin enhancing the work of the integrated care management team in a user-friendly way.
Identify individual caseloads.
Instantly obtain a complete, comparative, real-time picture of caseloads across the team—this reporting took weeks to compile in the past.
Make data-driven decisions on how to improve outcomes.