Browsing by Author "Renu Negi"
Now showing 1 - 1 of 1
- Results Per Page
- Sort Options
PublicationBook Chapter Artificial intelligence applications for clinical decisions support(Institute of Physics Publishing, 2024) Bhaskar Sharma; Renu Negi; Anjali Yadav; Yogesh Sharma; Vivek K ChaturvediClinical decision support (CDS) systems represent a groundbreaking advancement inhealthcare, fundamentally changing how clinicians make critical decisions by offeringevidence-based guidance and knowledge directly at the point of care. By seamlesslyintegrating with electronic health record (EHR) systems, these platforms harnessextensive patient data, medical literature, and best practice guidelines, empoweringclinicians with the insights needed for informed decision-making. Through sophisticatedanalysis of large datasets, CDS systems uncover nuanced patterns and insights thatenable early intervention and optimize resource allocation, thereby enhancing patientcare outcomes. Despite the transformative potential of CDS, concerns persist regardingalgorithm bias, data privacy, and stakeholder engagement, necessitating careful consideration and ongoing refinement. Case studies underscore the tangible impact of CDS,demonstrating its ability to enhance adherence to clinical standards, reduce hospitalreadmissions, and elevate patient satisfaction levels. Furthermore, the integration of AItechnologies bolsters the capabilities of CDS systems across various domains, includingmedical imaging analysis, virtual patient care, medication safety assurance, diagnosticsupport, medical research facilitation, and rehabilitation. Administrative applications ofAI within CDS systems streamline essential tasks such as claims processing and clinicaldocumentation, driving operational efficiency and alleviating administrative burdens onhealthcare professionals. In summary, CDS systems play a pivotal role in revolutionizinghealthcare delivery by equipping clinicians with actionable insights, improving clinicaldecision-making, and ultimately leading to better patient outcomes. © IOP Publishing Ltd 2024. All rights reserved.
