MediSwift – An Integrated Healthcare Solution
Ankur Sharma1, Vedanti Awate2, Varnika Bhoga3, Debarathi Goshal4
1Ankur Sharma, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.
2Vedanti Awate, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.
3Varnika Bhoga, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.
4Debarathi Goshal, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai (Maharashtra), India.
Manuscript received on 18 April 2025 | First Revised Manuscript received on 11 June 2025 | Second Revised Manuscript received on 18 August 2025 | Manuscript Accepted on 15 September 2025 | Manuscript published on 30 September 2025 | PP: 12-16 | Volume-5 Issue-6 September 2025 | Retrieval Number: 100.1/ijpmh.D108205040525 | DOI: 10.54105/ijpmh.D1082.05060925
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Healthcare Management, MERN Stack, Patient Management, Data Security, Regex Report Summarization, Urban Healthcare, Healthcare Chatbot, Report Analysis.
Scope of the Article: Primary Healthcare