A SMART App To Track And Report Stroke Cases To Reduce Readmissions
Project Name: A SMART App To Track And Report Stroke Cases To Reduce Readmissions
Project Results: To view the presentation from CHIIC’s May 2017 forum, click hereCdc-pdf
Project Status: Awarded
Point of Contact:Arunkumar Srinivasan
Center:National Center for Chronic Disease Prevention and Health Promotion
Keywords:SMART, HL7, FHIR, EHR, Coverdell, Stroke Registry, Core Data Elements, Technical Standards, API
Project Description: The Paul Coverdell National Acute Stroke Registry initiated in 2004 is a state-based registry to improve quality of stroke inpatient care. The CDC funds states to evaluate stroke related data and guide quality improvement interventions with more than 250,000 patients benefiting from this quality improvement since its creation. Over time, Coverdell has expanded to measure, track and improve the quality of care for patients from the onset of stroke symptoms through rehabilitation to recovery. In order to get an adequate understanding of which events are more likely to lead to readmission, the Coverdell project expanded beyond inpatient reporting in the current FOA to collect information during the following intervals 1) patients are picked up by EMS and taken to the hospital and 2) the patient transitions from the hospital to their next care setting (e.g. home, inpatient rehabilitation, nursing home).
Currently, inpatient data is collected for Coverdell using a QuintilesExternal
Project: The Office of Informatics and Information Resource Management (OIIRM) in collaboration with DHDSP is applying for a grant to test a standards-based approach towards collecting and reporting data from/to EHR, including in-patient and post-discharge data. This would provide a flexible, and effective alternative to the Quintiles solution, solve the double-data-entry problem, and provide a scalable solution to support future Coverdell surveillance across a wider population of hospitals within each grantee jurisdiction. We are requesting $50,000 to support an evaluation of the EHR agnostic SMART (http://smarthealthit.org/External
Proposed Deliverables:
- Gap analysis of HL7 FHIR resources and Coverdell Reporting Data Elements
- Evaluation of SMART platform to meet the Coverdell Reporting Workflow
- Design document with wireframes of a SMART APP for Coverdell reporting
Impact:
- Guidance for state awardees on how best to implement EHR based secure patient-level data collection system for public health surveillance.
- Deliver a seamless EMR integration of a PH reporting workflow and the clinical workflow by adopting a build once and use many concept.
- Ability to close the feedback loop to clinical setting by writing back post management data into the EMR using the standardized approach
- Increase data quality, timeliness and completeness of stroke data reporting
- This funding would provide language which would help ensure accountability of agency funding and improve the quality of our 30 day surveillance data. This in turn will facilitate the creation and implementation of useful quality improvement interventions which will directly impact patient readmissions and outcomes.
- The technical specifications created through this funding could be tailored to suit the needs of other programs across the agency for use in their funding announcements thereby ensuring accountability, reducing redundancies, addressing system usability and data security, improving the quality of surveillance data, and providing maximal impact.
For more information about this project, please contact the CHIIC at chiic@cdc.gov or Brian Lee at Brian.Lee@cdc.gov