A Cloud-Native Knowledge Management Framework for Patient-Generated Health Data

Document Type

Conference Proceeding

Source of Publication

2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)

Publication Date

11-24-2023

Abstract

Societal proliferation with mobile and wearable devices has given rise to patient-generated health data (PGHD). This refers to data from such devices that monitor, observe and report patient health status based on diverse metrics. Subse-quently, these data assists patients to adopt better behavioural and lifestyle patterns towards healthy living. It also implies access to the data by health providers facilitate patient health assessment. Despite these, several challenges exist with use of such data in clinical environments. These include issues with verification of the data, data interoperability and normalization, standardisation for defining data context and several others. Hence, this research investigates how these can be addressed and proposes a cloud-native knowledge management framework. The framework adopts fundamental knowledge management principles with a cloud-first paradigm towards addressing PGHD challenges relating to data standardisation, normalization, inter- operability, and real-time availability for healthcare providers. Furthermore, the framework defines architectural endpoints for diverse categories of authorised stakeholders to utilise and analyse processed PGHD to inform decision making towards addressing public health concerns in a changing world.

ISBN

979-8-3503-1890-6

Publisher

IEEE

Volume

00

First Page

1

Last Page

7

Disciplines

Medicine and Health Sciences

Keywords

Patient-generated health data, Cloud-native, Knowledge management framework, Data interoperability, Data standardization

Indexed in Scopus

no

Open Access

no

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