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

Authors

  • Ajay Pandey Independent Researcher, USA. Author

DOI:

https://doi.org/10.63282/3050-9262.IJAIDSML-V7I1P133

Keywords:

Business Process Management (BPM), Artificial Intelligence, Appian Platform, Healthcare Automation, Intelligent Document Processing (IDP), HIPAA Compliance, HL7 FHIR, Patient Journey Optimization, Low-Code Development, Process Mining

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.

References

[1] Canada Life and MagMutual on Generative AI-Powered Intelligent Document Processing (IDP).

[2] Appian and Ignyte Group. “Bring AI to Work (Flow)” Solution.

[3] Appian Platform – Artificial Intelligence Features.

[4] KPMG Whitepaper – Process Mining in Healthcare.

[5] Intelligent Document Processing (IDP) and Unstructured Data.

[6] Systematic Review of AI Challenges in Healthcare (Scopus/PubMed Indexed Study).

[7] Generative AI in Healthcare Market Projections (2022–2032).

[8] AI-Driven Identity Management for HIPAA Compliance.

[9] Business Process Management (BPM) and Healthcare Regulatory Standards.

[10] Defining HIPAA Compliance for BPM Systems.

[11] AI Integration and Regulatory Compliance – Vanderbilt Law Study.

[12] Convergence of AI and BPM in Healthcare (2024–2025 Study).

Published

2026-02-20

Issue

Section

Articles

How to Cite

1.
Pandey A. AI-Enabled Business Process Automation in Enterprise Healthcare Systems: Architectural and Governance Frameworks. IJAIDSML [Internet]. 2026 Feb. 20 [cited 2026 Feb. 26];7(1):194-7. Available from: https://ijaidsml.org/index.php/ijaidsml/article/view/448