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EHR triggers: a force for improved care--and revenue
1Berkeley College, Longwood, Fla, USA. ssafian@embarqmail.com
Summary
Electronic Health Records (EHR) with automatic triggers can identify high-risk patients for screenings, improving care and revenue. These screenings also help detect complications and comorbidities at admission, preventing payment issues.
Area of Science:
- Healthcare Informatics
- Clinical Decision Support
- Health Services Research
Background:
- Process-of-care measures from Hospital Compare identify at-risk patients.
- Electronic Health Records (EHR) can integrate these measures for proactive care.
- Undetected comorbidities and complications impact patient outcomes and hospital revenue.
Purpose of the Study:
- To explore the use of EHR-based automatic triggers for patient screening.
- To establish medical necessity for improved patient care and organizational revenue.
- To assess the role of screenings in identifying complications and comorbidities at admission.
Main Methods:
- Leveraging CMS process-of-care measures.
- Implementing automatic triggers within an EHR system.
- Analyzing patient data for high-risk indicators and potential complications.
Main Results:
- EHR triggers facilitate identification of high-risk patients for targeted screenings.
- Screenings improve patient care and can increase healthcare organization revenue.
- Early detection of complications and comorbidities at admission is enabled.
Conclusions:
- EHR-integrated screening protocols enhance patient care by identifying at-risk individuals.
- Automatic triggers support clinical decision-making and financial health for healthcare organizations.
- Proactive identification of comorbidities and complications through EHRs is crucial for accurate patient management and reimbursement.
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