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Using Analytics to Automate Heart Failure Data Aggregation

For each heart failure admission, registered nurses at Guy’s and St Thomas’ NHS Foundation Trust collected data from five different sources, and then filled out a 10-page form for each patient. Information from the forms was then manually entered into the National Institute for Cardiovascular Outcomes Research (NICOR) web portal. This manual process for data collection and reporting was not only time-consuming and resource-intensive—but was also highly susceptible to error. To address these challenges, the organization leveraged the Health Catalyst® Data Operating System (DOS™) to integrate the data from the five source systems and extract data for nearly all of the elements required for heart failure readmissions—streamlining the NICOR submission process and improving data quality and accuracy.

Featured Outcomes

  • 50 percent reduction in the time required to complete the NICOR audit, saving more than 400 hours annually.
  • 52 extra days that registered nurses can spend seeing patients each year, rather than performing manual data entry.

Analytics Reveal AAA Programme Improvement Success

As part of its efforts to improve the timeliness of care for patients undergoing abdominal aortic aneurysm (AAA) repair, Guy’s and St Thomas’ NHS Foundation Trust needed to collect data to guide care redesign, help assess the impact of specific interventions, and gauge progress toward desired outcomes. Guy’s and St Thomas’ implemented the Health Catalyst® Data Operating System (DOS™) platform, including a Referral Pathway analytics application, allowing the organization to aggregate and standardize data across source systems. Improved data and analytics have enabled Guy’s and St Thomas’ to analyze, evaluate, and monitor outcomes for the entire AAA cohort and evaluate operational performance and associated patient outcomes.

Featured Outcomes

  • 880x more patients reviewed than in the previous year’s chart audit.
  • 30 percent relative reduction in time from referral to procedure for all vascular referrals.

Using Analytics to Improve Clinical Coding

Responsible for coding approximately 380,000 episodes annually, clinical coders at Guy’s and St Thomas’ NHS Foundation Trust review documentation across several systems. The overwhelming amount of data, burdensome manual review processes, and limited coding resources made reviewing all data unfeasible. To address its coding challenges, Guy’s and St Thomas’ leveraged its data platform to combine and standardise data across disparate source systems. The organization now has access to data and technology that can be used to augment coders’ work, automating data gathering to better identify patients whose diagnostic coding could be improved.

Featured Outcomes

  • 800 patients with missing obesity diagnosis code identified in just one month, representing a value of £1.5M ($1.9M) annually.
  • 250 patients with AKI and/or CKD identified in just one month, representing a value of £100K ($130K) annually.
  • 50 patients with vitamin D deficiency identified in just one week, representing a value of £100K ($130K) annually.

Integrated Data Platform Improves the Effectiveness of State-wide COVID-19 Surveillance

The Ohio Health Information Partnership (OHIP) was using its technology to share individual COVID-19 test results to providers at the bedside. The State Department of Health approached OHIP with a request to aid the state by providing a more comprehensive data set for COVID-19. Using the Health Catalyst® Data Operating System (DOS™) platform, OHIP has improved the effectiveness of public health reporting and COVID-19 surveillance.

Featured Outcomes

  • In just two weeks, implemented a COVID-19 reporting solution, enabling robust state-wide surveillance for public health purposes.
  • Dramatic reduction in the time required to implement robust public health reporting.
  • Integrated COVID-19 surveillance data and analytics for more than 150 hospitals and two large diagnostic companies.

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.

Featured Outcomes

  • 90 percent relative improvement in efficiency.
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