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Paper ID:IJSREM62091

HealthMate Go: Healthcare at Your Fingertips

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62091

Volume:

10 |

4 |

April 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62091

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Abbas Ansari

Abbas Ansari

Department of Computer Science & Engineering

Buddha Institute of Technology, Gorakhpur

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AS

Ashwani Singh

Department of Computer Science & Engineering

Buddha Institute of Technology, Gorakhpur

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AS

Alamgeer Shekh

Department of Computer Science & Engineering

Buddha Institute of Technology, Gorakhpur

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AY

Abhishek Yadav

Department of Computer Science & Engineering

Buddha Institute of Technology, Gorakhpur

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Mentors

SK

Satish Kumar

Department of Computer Science & Engineering

Buddha Institute of Technology, Gorakhpur

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Abstract

- HealthMate Go is an integrated telemedicine platform developed to address persistent challenges in conventional healthcare systems, including limited accessibility, prolonged waiting times, fragmented service delivery, and inefficient care coordination. This study proposes a scalable digital healthcare framework that unifies remote consultations, intelligent symptom assessment, specialist recommendation, digital prescriptions, online pharmacy support, and secure payment processing within a single ecosystem. The platform follows a modular web-based architecture that supports appointment-driven consultations through real-time communication channels. To improve consultation relevance and patient navigation, an intelligent symptom analysis module assists users in identifying appropriate medical specialists. Experimental evaluation showed successful completion of major workflows with low response delay, dependable healthcare data management, and high user satisfaction in usability and convenience. The proposed system significantly reduces dependency on physical hospital visits while improving operational efficiency, continuity of care, and healthcare reach. The findings indicate that HealthMate Go provides a practical and future-ready solution for next-generation home-based digital healthcare delivery.

KEYWORDS

Key Words: Telemedicine Digital Healthcare Symptom Analysis Remote Consultation Online Pharmacy Healthcare Platform.

Cite This Article

Abbas Ansari, Ashwani Singh, Alamgeer Shekh, Abhishek Yadav, Satish Kumar, "HealthMate Go: Healthcare at Your Fingertips," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-7, April 2026. https://doi.org/10.55041/IJSREM62091

Full Article/Conclusion

  This paper presented HealthMate Go, an AI-driven integrated telemedicine platform developed to address critical limitations in conventional healthcare delivery systems. Traditional healthcare models often suffer from long waiting times, geographical barriers, fragmented services, and inefficient care coordination. The proposed system overcomes these issues by unifying consultation, diagnosis assistance, prescription management, pharmacy services, and secure payments within a single digital ecosystem. The platform supports appointment-based consultations, intelligent symptom-assisted specialist recommendation, real-time doctor–patient communication, digital prescriptions, and medicine ordering. Its modular architecture ensures scalability, security, and reliable multi-user operation. Experimental evaluation indicates that HealthMate Go improves healthcare accessibility, enhances user convenience, streamlines workflows, and supports effective home-based healthcare delivery. The integration of multiple healthcare services into one platform significantly reduces dependency on disconnected systems and unnecessary physical visits. In conclusion, HealthMate Go demonstrates the practical potential of next-generation telemedicine platforms for modern digital healthcare environments. Future enhancements may include predictive analytics, multilingual virtual assistants, wearable device integration, blockchain-based medical records, and interoperability with national healthcare systems.

References

[1]        World Health Organization, Telemedicine: Opportunities and Developments in Member States, WHO Press, Geneva, 2010.  [2]        World Health Organization, Global Strategy on Digital Health 2020–2025, WHO Press, Geneva, 2020.  [3]        D. Wootton, J. Craig, and V. Patterson, Introduction to Telemedicine, 2nd ed., CRC Press, 2017.  [4]        J. C. Bashshur, G. W. Shannon, E. A. Krupinski, and J. Grigsby, “The taxonomy of telemedicine,” Telemedicine and e-Health, vol. 17, no. 6, pp. 484–494, 2011.  [5]        A. Haleem, M. Javaid, R. P. Singh, and R. Suman, “Telemedicine for healthcare: Capabilities, features, barriers, and applications,” Sensors International, vol. 2, 2021.  [6]        J. Kruse, K. Krowski, B. Rodriguez, L. Tran, R. Vela, and M. Brooks, “Telehealth and patient satisfaction: A systematic review,” BMJ Open, vol. 7, no. 8, 2017.  [7]        M. T. Lopez et al., “Telemedicine and the future of outpatient care,” Journal of Medical Internet Research, vol. 23, no. 2, 2021.  [8]        M. A. Albahri et al., “Role of artificial intelligence in telemedicine: A systematic review,” Journal of Medical Systems, vol. 45, no. 8, 2021.  [9]        S. Chen, J. Li, and Y. Zhang, “Intelligent symptom analysis and disease prediction using machine learning techniques,” International Journal of Medical Informatics, vol. 141, 2020.  [10]      J. Liu, Z. Li, and F. Tang, “Semantic similarity based medical recommendation systems,” Expert Systems with Applications, vol. 113, 2018. 

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Publication Date

4/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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