Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3336
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dc.contributor.authorWickramarathna, M-
dc.contributor.authorDe Silva, K-
dc.contributor.authorLekamalage, V-
dc.contributor.authorSenanayake, J-
dc.contributor.authorPerera, J-
dc.contributor.authorRuggahakotuwa, L-
dc.date.accessioned2023-03-08T10:41:14Z-
dc.date.available2023-03-08T10:41:14Z-
dc.date.issued2022-12-09-
dc.identifier.citationM. Wickramarathna, K. De Silva, V. Lekamalage, J. Senanayake, J. Perera and L. Ruggahakotuwa, "Oxygen: A Distributed Health Care Framework for Patient Health Record Management and Pharmaceutical Diagnosis," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 30-35, doi: 10.1109/ICAC57685.2022.10025250.en_US
dc.identifier.isbn979-8-3503-9809-0-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3336-
dc.description.abstractWith the COVID-19 pandemic, the world is confronting various healthcare issues, and healthcare automation is more crucial than ever. The pandemic has revealed the limitations of existing digital healthcare systems to manage public health emergencies. There is no registered population for many healthcare institutions in Sri Lanka, as a result, there is a communication gap. Electronic Health Record systems (EHRs) are becoming popular to share patient details but accessing scattered data across several EHRs while safeguarding patient privacy remains a challenge. Most of these medical records are in printed format and manually entering those into EHR systems is time-consuming and error prone. Not only that pharmaceutical error is a critical healthcare problem, but it is even riskier to visit doctors for pharmaceutical diagnosis during a pandemic. This research introduces a Blockchain-based patient health record system, an Optical Character Recognition (OCR) and Natural Language Processing (NLP) based Medical Document Scanner, a Drug Identifier based on Image Processing and a Medical Chatbot powered by NLP as four novel approaches to address these issues. Altogether with the results, this research aims at introducing a solution for the limitations in healthcare while providing a distributed healthcare framework for the healthcare community worldwide.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 4th International Conference on Advancements in Computing (ICAC);-
dc.subjectOxygenen_US
dc.subjectDistributed Health Careen_US
dc.subjectFrameworken_US
dc.subjectPatient Health Recorden_US
dc.subjectHealth Record Managementen_US
dc.subjectPharmaceutical Diagnosisen_US
dc.titleOxygen: A Distributed Health Care Framework for Patient Health Record Management and Pharmaceutical Diagnosisen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC57685.2022.10025250en_US
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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