MediSwift - An Integrated Healthcare Solution

The challenge of healthcare management efficiency stands out prominently, especially in areas with inadequate medical service. Typically, paper-based methods, when combined with independent digital solutions, introduce inefficiencies into patient care systems, as well as scheduling processes and resource allocation. The start of MediSwift provides a healthcare information system tackling Mumbai's underdeveloped and rural districts. The MERN stack development, which combines MongoDB, Express, React, and Node.js, enables users to access all healthcare features from a single platform. To protect patient information while allowing selected team members to access the system, MediSwift's security architecture utilises bcrypt encryption of passwords. A regex-based report summarisation component serves as part of the system to analyse long, complex medical reports using predefined medical terms, producing simplified summaries that enhance patient comprehension without requiring API connections. The system prioritises the most critical tasks, reduces personnel workload, and provides instant expert feedback to support informed decision-making and optimal resource allocation. The embedded strong security measures and efficient healthcare management processes help MediSwift support easy healthcare management, resulting in better patient care quality. The system design allows for growth and provides an effective solution to enhance urban health facilities.

Authors

Publication Details

Journal
International Journal of Preventive Medicine and Health
Published
2025-09-26
DOI
https://doi.org/10.54105/ijpmh.d1082.05060925
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

MediSwift - An Integrated Healthcare Solution

Ankur Sharma, Vedanti Awate, Varnika Bhoga, Debarathi Goshal
International Journal of Preventive Medicine and Health
AI in Service Interactions
article

MediSwift - An Integrated Healthcare Solution

Ankur Sharma, Vedanti Awate, Varnika Bhoga, Debarathi Goshal
article en

Abstract

The challenge of healthcare management efficiency stands out prominently, especially in areas with inadequate medical service. Typically, paper-based methods, when combined with independent digital solutions, introduce inefficiencies into patient care systems, as well as scheduling processes and resource allocation. The start of MediSwift provides a healthcare information system tackling Mumbai's underdeveloped and rural districts. The MERN stack development, which combines MongoDB, Express, React, and Node.js, enables users to access all healthcare features from a single platform. To protect patient information while allowing selected team members to access the system, MediSwift's security architecture utilises bcrypt encryption of passwords. A regex-based report summarisation component serves as part of the system to analyse long, complex medical reports using predefined medical terms, producing simplified summaries that enhance patient comprehension without requiring API connections. The system prioritises the most critical tasks, reduces personnel workload, and provides instant expert feedback to support informed decision-making and optimal resource allocation. The embedded strong security measures and efficient healthcare management processes help MediSwift support easy healthcare management, resulting in better patient care quality. The system design allows for growth and provides an effective solution to enhance urban health facilities.

International Journal of Preventive Medicine and HealthVol. 5(6)
Openalex Percentile: Top 86%
AI in Service Interactions
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