Structured Reporting in the Cath Lab
Data management works best when it is integrated into a workflow, especially in a complex setting like a cardiac Cath lab where multiple authors contribute to data collection and reporting. The basic idea of structured reporting data is to collect data once and use it many times (i.e. clinical report, PI analysis, submitting data to registries) across a health care enterprise. Structured reporting in the Cath Lab is essential to improving clinician documentation. Integrating structured reporting into an electronic medical records system benefits clinicians and patients. Click here for more information >>>
Structured data reporting is the goal of a recent collaboration between the ACC’s PINNACLE Registry and Epic – an electronic health record (EHR) company. Fostered by the ACC’s Informatics and Health IT Task Force, the CardioEncounters beta program uses a documentation tool called NoteWriter that allows for structured data collection within outpatient cardiology practices to improve the quality of patient medical information in EHRs. Click here for more information >>>
Implantable Device Cardiac Observation (IDCO) describes specifics around the collection and messaging of data elements, including clinical reports associated with cardiac device observations. Collection of implanted cardiac devices data is vital to clinicians and patients to assist in research efforts. Click here for more information >>>
Million Hearts Clinical Decision Support
Clinical Decision Support (CDS) can be an extremely valuable tool to assist clinicians who are presented with volumes of patient data in an electronic health record (EHR) on a daily basis. These freely available tools will help organizations understand the clinical logic behind the decision support in a human readable prose. The download also includes documents encoded in XML for use in virtually any EHR.
These were developed to support the Million Hearts national initiative by the U.S. Department of Health & Human Services to prevent 1 million heart attacks and strokes over a five-year period. These specific products were created as part of a technical challenge issued by AllScripts at a CMS Care Innovation Summit held in Washington D.C. Members and staff of the American College of Cardiology worked to translates the core principles around ABCS into unambiguous, machine readable XML that could be read by electronic health record systems to provide clinical decision support. Download any of the six files by clicking the links below.
- Data Element Valueset Codes – Final.PDF – Codes and valuesets used in the creation of the XML clinical decision support documents
- Category Prose Descriptions – Final.PDF – Human readable descriptions of the clinical decision support rules
- ACCAspirinRuleV3.xml – Clinical decision support logic for aspirin use
- ACCBPRulev3.xml – Clinical decision support logic for blood pressure management
- ACCCholesterolRulev3.xml – Clinical decision support logic for cholesterol management
- ACCSmokingRuleV3.xml – Clinical decision support for smoking cessation