|Peer Reviewed, Refereed & Open Access Journal | Follows UGC CARE Journal Norms and Guidelines|
|ISSN 2349-6037|Approved by ISSN, NSL & NISCAIR| Impact Factor: 9.274 |ESTD:2013|
|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|
| TITLE | Optimizing Healthcare Operations and Patient Care through AI-Powered Analytics with Power BI and DAX Copilot |
|---|---|
| ABSTRACT | Power BI is an efficient tool for business intelligence and data visualization and is particularly successful in converting complicated data to actionable information in a health care setting. Power BI's most powerful feature is its ability to connect isolated data sources like operational and electronic health record data for immediate decision making in high-frequency situations. Clinicians can use Power BI to develop individualized treatment methodologies for quality and efficient patient care based on previous hospitalizations and hospital systems. Power BI also automates compliance management to validate regulatory reporting and compliance with regulatory standards, like HIPAA and HL7. Additionally, Power BI has a user-friendly experience and built-in security features which will provide operational transparency and collaboration amongst healthcare staff. Recently, Power BI has integrated DAX Copilot, which automates DAX Queries, and allows for dialoging about data in conversational format. This feature of Power BI minimizes inquiry documentation for physician users and enhances clinical data reliability. DAX Copilot's multi-purpose functionality spans clinical specialties and supports clinical research and health equity work, while reinforcing appropriate AI behavior in relation to health regulations. Overall, the DAX Copilot, in conjunction with Power BI, makes healthcare documentation and analytics better with key factor of providing higher quality care for healthcare providers and creating a reactive, AI-driven healthcare ecosystem. |
| AUTHOR | Tharun Kumar Nallamothu Senior Software Developer, Microsoft, USA |
| PUBLICATION DATE | 2025-11-11 13:09:20 |
| VOLUME | 13 |
| ISSUE | 2 |
| DOI | DOI: 10.15662/IJMSERH.2025.1302074 |
| pdf/2025/4/74_Optimizing Healthcare Operations and Patient Care through AI-Powered Analytics with Power BI and DAX Copilot.pdf | |
| KEYWORDS |
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