Work

Real-time AI in Clinical Decision Support

Year: 2026

Type: book-chapter

Abstract: The integration of real-time artificial intelligence (AI) into Clinical Decision Support Systems (CDSS) marks a turning point in the evolution of modern healthcare. Traditional CDSS relied on retrospective or rule-based reasoning, offering insights only after data were finalized. In contrast, real-time AI enables continuous interpretation of live data streams from bedside monitors and laboratory systems to imaging and wearable devices transforming static analytics into adaptive, situational intelligence. This chapter examines how real-time AI can transition from successful experimentation to consistent clinical deployment. It explores the technical architectures that make real-time processing feasible, as well as the ethical, operational, and regulatory challenges that arise when algorithms move from laboratory settings to patient care environments.

Source: Advances in computational intelligence and robotics book series

DOI: 10.4018/979-8-3373-6400-1.ch015

Authors: Kiran K Veernapu, Balkrishna Keshavrao Patil, Aman Suresh Tharayil, C.L Sindhura, Adinarayana Andy, Anmol Budhewar, Sayali K. Somwanshi, Kanukuntla Kavya, Manish Bharadwaj, Prakash Raj

Institutions: Brown University, Sandip Institute of Technology & Research Centre, Dr. M.G.R. Educational and Research Institute, Narayana Health, Cognizant (India), Amity University Madhya Pradesh, ACS Medical College and Hospital

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: hybrid

OpenAlex ID: W7125500849

FWCI: 182

Cites: 42

Cited by: 16

Related to: 10