Smart DaaS: A Novel SaaS-Based Business Model for On-Demand HIV Diagnostics with AI and Predictive Economic Analytics
Lakshmi Kalyani Chinthala
Simulation, HIV, Daas, Saas, Business model
This study presents the design, simulation, and evaluation of HIVSense-Econ, an AI-enabled diagnostic platform delivered through integrated Diagnostic-as-a-Service (DaaS) and Software-as-a-Service (SaaS) frameworks. The system highlights the deep learning models including convolutional neural networks trained on biosensor and image-based datasets to support rapid, accurate, and scalable HIV diagnostics in low-resource settings. Simulated performance results demonstrate an average diagnostic accuracy of 94.6%, with sensitivity and specificity exceeding 92%, enabling reliable early-stage detection, even in cases of low viral load. When deployed in a DaaS model, the system reduces diagnostic turnaround from 3–5 days to under 30 minutes using edge AI on wearable biosensors. Simulation across high-prevalence regions suggests a 38% increase in early HIV case identification and a 45% improvement in treatment adherence through personalized alerts and remote counseling enabled by the SaaS platform. Economic modeling estimates cost savings of up to $340 per patient, primarily from earlier antiretroviral therapy (ART) initiation and reduced transmission. Predictive analytics further optimize testing coverage, increasing reach among high-risk groups by 27%. Business simulations indicate financial viability under a dual revenue model comprising tiered SaaS subscriptions and per-test licensing fees. Sustainability is projected at a 5,000-device deployment threshold, with ROI achieved within 14–18 months. Scalable cloud architecture supports up to 100,000 concurrent devices with latency under 1.8 seconds. Collectively, the results validate the potential of AI-driven, cloud-integrated diagnostics to revolutionize HIV care by improving early detection, optimizing resource allocation, and enabling economically sustainable public health interventions.
"Smart DaaS: A Novel SaaS-Based Business Model for On-Demand HIV Diagnostics with AI and Predictive Economic Analytics", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.1315-1334, September-2023, Available :https://ijsdr.org/papers/IJSDR2309188.pdf
Volume 8
Issue 9,
September-2023
Pages : 1315-1334
Paper Reg. ID: IJSDR_303862
Published Paper Id: IJSDR2309188
Downloads: 000116
Research Area: Science and Technology
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
