Transforming clinical documentation audits
Apollo Hospitals’ clinical documentation audit, a critical component for ensuring the quality of Electronic Medical Records (EMR), is currently a manual and time-intensive process. Spanning 72 hospitals and requiring the involvement of 50 resources, the audit process is both labour intensive and time-consuming, often taking weeks to complete.
To address these challenges, Apollo Hospitals implemented an automated solution that minimizes resource dependence, accelerates audit timelines, enhances accuracy and consistency, and improves scalability to effectively manage the growing volume of EMR data.
Automating documentation
The automation of Apollo Hospitals’ clinical documentation audit process using Azure OpenAI Service has drastically improved efficiency and accuracy, minimizing the time and errors associated with manual workflows.
Some key outcomes are:
Enhanced Efficiency: Automation reduced the time required for clinical documentation audits, enabling near real-time processing.
Improved Accuracy: Azure OpenAI minimized errors in EMR documentation by identifying discrepancies and ensuring consistency
Elevated Patient Care: Higher-quality EMR documentation directly contributed to better patient outcomes and care management.
Additionally, the solution has strengthened compliance and significantly reduced the reliance on extensive manual labour across 72 hospitals, driving operational excellence at scale.
Dr. Sangita Reddy
Joint MD,
Apollo Hospitals Group
Apollo is increasing efficiency in clinical documentation audit using Azure OpenAI.
Audit Readiness:
Streamlined workflows ensured compliance and preparedness for audits across 72 hospitals
Reduced Manual Effort:
Significantly lowered the dependency on manual labour, freeing resources for other critical tasks
The cornerstones of Apollo’s legacy are its unstinting focus on clinical excellence, affordable costs, modern technology and forward-looking research & academics.
More details at https://www.apollohospitals.com
AICTE (Anuvadini)
August.AI