The Role of Medical Informatics in Facilitating Evidence-Based Healthcare Practices
Medical knowledge, technology, and data have changed healthcare. A new method, OptimizedClinicalDecide (OCD), is transforming evidence-based health care and achieving this critical goal. To treat OCD, it is critical to use medical data as well as cutting-edge algorithms and learning systems that evolve over time. This strategy effectively addresses the long-standing issue of incompatible healthcare data sets, making it perfect for data integration. OCD's dynamic learning engine is continually adding new patient data to the knowledge base, guaranteeing that health care practitioners have the most up-to-date patient health information. Modern healthcare relies on decision-making aid, and flexible decision optimization techniques enhance it by providing patient-specific guidance. OCD's ability to use cutting-edge medical knowledge and promote lifelong learning are its assets. Advanced analytics and personalized patient outcome prediction methodologies increase forecasting and prognosis. The proposed strategy makes use of mobile health resources and is appropriate for the present era of patient-centered treatment. MEPCC promotes patients to work together on health-care decisions. Traditional approaches suffer with adaptability, data integration, and decision support. OptimizedClinicalDecide addresses these challenges and increases patient involvement. According to evidence, OCD has the ability to transform health care. This enhances our mission of providing educated, specialized, and collaborative patient care.
Authors
- Amit Kumar (ORCID: https://orcid.org/0000-0002-4482-6678)
- Manish Gupta (ORCID: https://orcid.org/0000-0002-5232-378X)
- Ali Awadallah Saeed (ORCID: https://orcid.org/0000-0003-3524-4825)
- K. Srinija
- Muthuswamy Jayanthi
- Yaragudipati Sri Lalitha
Institutions
- Lovely Professional University (IN)
- Galgotias University (IN)
- Iraqi University (IQ)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10956706
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00