Healthcare AI · Responsible innovation
I’m an interdisciplinary researcher and technology leader working at the intersection of artificial intelligence, health informatics, public policy, and ethical decision systems.
Research profile
My work connects rigorous research with the realities of healthcare delivery—designing systems that clinicians, public agencies, and communities can understand, govern, and trust.
Selected research & systems
Across academic research and national-scale platforms, I focus on explainability, payment integrity, multimodal clinical intelligence, and responsible implementation.
Current research
A research platform that combines document intelligence, clinical NLP, multimodal models, explainable risk scoring, and provider feedback to prevent avoidable denials and strengthen payment integrity.
Peer-reviewed framework
A composite metric for connected healthcare systems that brings together human agreement, rationale acceptability, and the reduction of uncertainty after an AI explanation.
Applied public health AI
National-scale machine learning, utilization analytics, and medical-audit systems designed to detect anomalous claims, prioritize investigation, and inform policy across India’s public insurance ecosystem.
Clinical AI leadership
Computer-vision research for cancer detection using CT scans and mammograms, paired with LLM-based clinical NLP systems to support safer and more informed clinical decisions.
Selected publications
P. Naib, J. Park, P. Abedin, C. King & V. Gurupur
Information · 17(5), 438
P. Naib, G. Vu, A. Nair & C. King
Diabetology · 7(3), 43
P. Naib, S. D. Gupta & S. Chandrashekar
Journal of Health Management · 27(1), 86–92
P. Naib
Indian Journal of Medical Ethics · 9(4)
P. Naib, P. Kumar, S. Chandrashekar & S. D. Gupta
Mapana Journal of Sciences · 23, Special Issue
P. Naib, P. Kumar, S. Chandrashekar, O. Smith & S. Chhabra
Annals of Clinical Cardiology · 3(2), 63–68
Policy scholarship
Speaking & recognition
Talks and panels for researchers, clinicians, technologists, government leaders, and global professional communities.
AAPI Convention & Scientific Assembly
Women in Tech Global Conference
UCF Faculty Research Impact Showcase
Society for Design and Process Science · Malta
Development Economics Conference · University of Lincoln
Teaching & mentoring
I teach from both sides of the bridge: the scientific foundations of AI and the organizational judgment required to deploy it well.
Graduate & professional education
Industry mentor for the Great Learning–Johns Hopkins healthcare AI program, translating methods into clinical and operational use cases.
Academic teaching
Adjunct faculty and master-class instructor in healthcare AI, data analytics, fraud management, and responsible implementation.
Public-sector capacity building
Training for PM-JAY state officials and international government professionals in AI, medical audit, and data-driven decision-making.
Standards & governance
As a member of the IEEE Standards Association P3553 working group and the ICAID global EHR standards group, I contribute to approaches for consistent record formats, system identity, lifecycle traceability, interoperability, and safer exchange.
A career across research, industry & public service
American Express · ZS · UnitedHealth Group
World Bank · National Health Authority
Providence · Reserve Bank Innovation Hub
University of Central Florida · IIHMR
Collaborate
I welcome conversations about healthcare AI research, responsible deployment, standards, invited talks, and interdisciplinary collaboration.