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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.

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.

Certified Analytics Platform Enables Electronic Quality Measures Reporting

Organizations that participate in various Centers for Medicare and Medicaid Services sponsored programs must use a certified health IT product to electronically submit performance data. Acuitas Health partnered with Health Catalyst to develop a solution that would enable the organization to meet the electronic clinical quality measures (eCQMs) reporting requirements.

Featured Outcomes

  • 2,080 hours saved annually in some practices.
  • Eliminated the need to maintain two different quality reporting systems.

Analytics-Driven Clinical Documentation Improvement Efforts Positively Impact Reimbursement

Albany Med’s clinical documentation improvement specialists provide high-quality care to complex, acute-care patients; however, Albany Med was experiencing lower reimbursement rates due to gaps in clinical documentation. The organization created a seamless process for clinical documentation with the use of an analytics application as driven by clinical leadership.

Featured Outcomes

  • 50 percent relative improvement in appropriate coding, as demonstrated in the reduction in the potential opportunity in the emergency department (ED).
  • 10.8 percent relative improvement in DRG group captured for ED visits.

Machine Learning Automates Outpatient Coding

Accurate service line reporting is necessary for healthcare organizations to understand the total cost of care. Read how MultiCare employed machine learning for its outpatient coding efforts and restored its service line reporting.

Featured Outcomes

  • Successfully restoring service line reporting, enabling the organization to better understand the total cost of care, and supporting future participation in value-based care and risk-sharing agreements.
  • Ability to avoid additional labor costs that would be required to perform dual coding, saving more than $1 million annually.
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