abstract technological image depicting data science
Source: https://www.cs.duke.edu/research/datascience

The Problem

Duke Health must review sepsis cases for SEP-1 public reporting to CMS, which requires significant manual labor from clinicians. Unfortunately, due to current staffing constraints, individual sepsis case reviews are being performed by an external practice management consultancy at significant cost to Duke Health. Every year, we estimate that SEP-1 case reviews cost Duke Health over $75,000 when external consultant costs are combined with manual effort performed by Duke Health expert clinicians.

Our Solution

This solution will combine three components. The components include an automated pipeline to curate all relevant information related to SEP-1 case reviews, an interactive dashboard to present relevant SEP-1 information to a quality measure adjudicator, and a data capture tool to facilitate rapid annotation of SEP-1 compliance. Taken together, the solution will reduce the manual effort required for SEP-1 reporting and may eliminate the need for Duke Health to rely on external consultants.

Anticipated Impact

If this project is successful, automated data curation could be further leveraged by clinical service line leaders to eliminate non-value added clinician labor to more efficiently curate and report quality measures. We expect that costs savings directly related to SEP-1 can total up to $75,000 annually and that there may be additional opportunity to reduce costs associated with up to $80M annually for quality measure reporting across Duke Health.

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