AI-Enabled Business Process Automation in Enterprise Healthcare Systems: Architectural and Governance Frameworks

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Authors: Ajay Pandey
Cited by: 0

Abstract

The healthcare industry is going through major changes as organizations start combining business process tools with artificial intelligence (AI). This paper looks at how the Appian platform helps manage and automate important tasks in healthcare settings. Appian brings together low-code development tools, connected data systems, and smart document processing. These features help hospitals and healthcare providers deal with common problems such as scattered data, too much paperwork, and staff burnout. By connecting systems and automating routine work, healthcare teams can save time and focus more on patient care. The paper also explains how AI can support tasks like patient triage, where cases are prioritized based on urgency, and revenue cycle management, which handles billing and payments. It discusses how healthcare systems use standard technologies like HL7 FHIR® to make sure different platforms can share information smoothly. Furthermore, the paper outlines five key AI design approaches that help organizations use AI responsibly. These approaches make sure patient data stays protected and that systems follow regulations such as HIPAA. Overall, the study shows that combining AI with business process management helps healthcare organizations move from simply reacting to problems toward planning ahead and delivering more patient-centered care.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Robotic Process Automation Applications Business Process Modeling and Analysis

Publication details

Journal / source
International Journal of Artificial Intelligence Data Science and Machine Learning
Volume
7
Pages
194–197
Publication date
1 January 2026
Language
EN