Pre Surgery Sentinel and Medi Track

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dc.contributor.author Muhammad Taimoor Ather, 01-135202-065
dc.contributor.author Saira Riasat, 01-135202-081
dc.date.accessioned 2024-08-19T06:22:08Z
dc.date.available 2024-08-19T06:22:08Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17703
dc.description Supervised by Dr. Hafiz Ishfaq Ahmed en_US
dc.description.abstract In contemporary healthcare settings, the pre-surgical phase often presents significant challenges due to manual review processes and fragmented data access. This conventional approach results in inefficiencies, delays, and potential risks in patient care. To address these shortcomings, this project proposes an innovative Electronic Health Record (EHR) system with predictive capabilities tailored for pre-surgical patient care. By harnessing advanced image-based data input and predictive analytics, our solution revolutionizes the traditional approach to pre-surgical assessments. The proposed EHR system offers a proactive solution by automaticallypredicting patient health status before surgery. Through comprehensive analysis of diverse medical parameters, including blood tests, radiological images, and cardiac assessments, our system empowers healthcare professionals with valuable insights for informed decision-making. By streamlining record maintenance and enhancing data accessibility, our solution promises to optimize clinical workflows, improve patient outcomes, and ultimately transform pre-surgical patient care. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS(IT);P-02222
dc.subject Pre Surgery en_US
dc.subject Sentinel en_US
dc.subject Medi Track en_US
dc.title Pre Surgery Sentinel and Medi Track en_US
dc.type Project Reports en_US


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