Enhancing cancer care: strategies for improved patient outcomes

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorMukta, Jannatun Noor
dc.contributor.authorAnjar, Khan Md Saifullah
dc.contributor.authorNidhi, Ramisa Sharar
dc.contributor.authorTasnim, Zarin
dc.contributor.authorShammobroti, Nijhum
dc.contributor.authorShaikat, Md.Shariar Emon
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2025-08-17T09:09:14Z
dc.date.available2025-08-17T09:09:14Z
dc.date.copyright2025
dc.date.issued2025-06
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 71-74).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2025.en_US
dc.description.abstractCancer remains a leading cause of death in Bangladesh, where systemic challenges such as limited infrastructure, high treatment costs, and lack of access to specialists hinder timely and effective care. This study addresses these challenges by proposing and developing a mobile health (mHealth) platform designed specifically for cancer patients in Bangladesh. Informed by a qualitative study involving 32 participants including patients, caregivers, and oncologists. The research explores existing gaps in cancer care delivery, such as delays in emergency response, fragmented communication, and insufficient patient involvement. Key themes and subthemes were derived from interviews and surveys, highlighting the need for stronger doctor–patient communication, improved staging practices, and robust data protection mechanisms. Based on these findings, we developed a digital health prototype that includes a real-time communication module using WebRTC, a TNM-based cancer staging system integrated via API from a clinical database, a rule-based severity tagging module for patient triage, and secure, role-based authentication using token-based mechanisms. The platform allows patients to request consultations, submit symptom data through structured questionnaires, upload reports, and receive prioritized care based on clinical urgency, all while ensuring data privacy through time-limited session storage. Designed with culturally sensitive and accessible UI considerations for users of all background, this system demonstrates the potential of context-aware, scalable digital solutions to enhance clinical outcomes, reduce systemic burdens, and improve the overall patient experience in cancer diagnosis and care. Our findings contribute to the growing field of digital oncology by bridging qualitative user insight with system-level design and implementation.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityKhan Md Saifullah Anjar
dc.description.statementofresponsibilityRamisa Sharar Nidhi
dc.description.statementofresponsibilityZarin Tasnim
dc.description.statementofresponsibilityNijhum Shammobroti
dc.description.statementofresponsibilityMd.Shariar Emon Shaikat
dc.format.extent74 pages
dc.identifier.otherID 24141200
dc.identifier.otherID 24141199
dc.identifier.otherID 21301497
dc.identifier.otherID 21301296
dc.identifier.otherID 21241041
dc.identifier.urihttp://hdl.handle.net/10361/26555
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectCancer careen_US
dc.subjectReal-time communicationen_US
dc.subjectPatient outcomesen_US
dc.subjectTelemedicineen_US
dc.subjectDigital oncologyen_US
dc.subjectMobile healthen_US
dc.subjectData protection mechanismsen_US
dc.subject.lcshReal-time programming.
dc.subject.lcshHealth care management.
dc.subject.lcshHealth informatics.
dc.subject.lcshMedical informatics.
dc.subject.lcshTelemedicine.
dc.titleEnhancing cancer care: strategies for improved patient outcomesen_US
dc.typeThesisen_US

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