AI In Healthcare

Healthcare organizations globally are under pressure to reduce costs, enhance quality of care, and ensure patient-centric services. With the rapid adoption of information technology, large volumes of clinical and non-clinical data are generated daily. Digital transformation and evolving market dynamics demand agile, informed responses from healthcare managers and providers. Integrating Artificial Intelligence (AI) into healthcare workflows can serve as a gatekeeper or for second-opinion roles. Leveraging AI for evidence-based decision-making is crucial for competitive advantage and improved patient outcomes. However, there are also scenarios where AI should not be used in specific healthcare settings. This program equips participants to clearly identify whether AI should be used or not in healthcare by cutting through complex datasets, predicting and mitigating risks, and deriving clinical and operational excellence.

1. Understanding the AI Healthcare Ecosystem & Digital Transformation

Types and sources of healthcare data (clinical, operational, patient-generated)

IoT, and wearable devices in modern healthcare data collection

Role of AI in healthcare ecosystem

Participants will Senior / Middle-level Managers of Hospitals and healthcare organizations, Pharmaceutical industry, Health insurance sector, Healthcare IT companies, Biotechnology firms, Government health departments, Public health organizations and NGOs, Healthcare think-tanks & AI Entrepreneurs in the healthcare sector.