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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
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| Paper Title: | AI-Assisted Healthcare Triage and Smart E-Pharmacy System with Human-in-the-Loop Architecture |
| Authors Name: | Lemesh Kumar Nishad , Aaryan Kamalwanshi , Aayush Jain , Lilima Jain |
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IJRTI_211634
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| Published Paper Id: | IJRTI2604185 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Patients in under-resourced healthcare settings regularly encounter two practical problems that existing tools do not solve together: identifying the right specialist for their symptoms and then finding a nearby pharmacy that can fill the complete prescription in a single visit. This paper introduces an integrated, two-module AI-assisted system that tackles both problems within one platform. The first module is a conversational triage agent built on a hybrid architecture—a deterministic rule engine controls clinical logic while an instruction-tuned language model handles natural phrasing—collecting structured symptoms through a SOAP-format slot-filling dialogue. Every AI-generated clinical summary is held in a mandatory Human-in-the-Loop (HITL) queue until a licensed physician approves it, specifically to guard against the well-documented tendency of language models to produce confident but incorrect medical outputs. The second module is a smart e-pharmacy engine that reads OCR-extracted prescription data and queries nearby pharmacies for complete stock, lowest total cost, and shortest travel distance, widening its search radius step-by-step until a match is found. A Random Forest classifier handles specialist routing based on TF-IDF symptom features. This paper outlines the system design and an initial prototype, with large-scale empirical benchmarking postponed to a future deployment phase, as explicitly stated throughout. |
| Keywords: | AI-assisted triage, Human-in-the-Loop, dynamic slot-filling, SOAP format, prescription OCR, epharmacy, multi-constraint inventory matching, hallucination mitigation, specialist routing, hybrid LLM architecture. |
| Cite Article: | "AI-Assisted Healthcare Triage and Smart E-Pharmacy System with Human-in-the-Loop Architecture", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b347-b354, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604185.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604185
Registration ID:211634
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b347-b354 Country: RAIPUR, IN-CG, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604185 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604185 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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