Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care
The evolution of technology towards Healthcare 5.0 corresponding to the fifth industrial revolution (5IR) is enabled by the key technology enablers of Healthcare 4.0 plus the patient centric dimension. This presents a paradigm shift in the healthcare landscape transformation for sustainable, persona...
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2025-01-01
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| author | Mavis Gezimati Ghanshyam Singh |
| author_facet | Mavis Gezimati Ghanshyam Singh |
| author_sort | Mavis Gezimati |
| collection | DOAJ |
| description | The evolution of technology towards Healthcare 5.0 corresponding to the fifth industrial revolution (5IR) is enabled by the key technology enablers of Healthcare 4.0 plus the patient centric dimension. This presents a paradigm shift in the healthcare landscape transformation for sustainable, personalized and precise medicine. Most existing studies on Healthcare 5.0 focused on the Healthcare 5.0 enabling technologies and potential architectures and in particular, studies on their application for brain cancer are scarce. However, to ensure a seamless continuum of care, there is need to address critical challenges including system interoperability, data security and capability for early and improved diagnosis. In this paper, we focus on forecasting the transformative potential of Healthcare 5.0 and its role on future generations of medical applications developed on IoMT (Internet of Medical Things) systems by analyzing the paradigm shift in the healthcare technology evolution and suggesting solutions to address the existing challenges. We introduce the Healthcare 5.0, its key enabling technologies, salient features and analyze the evolution of healthcare technology based industrial and manufacturing processes (Healthcare 1.0 to Healthcare 5.0). We establish the potential opportunities and limitations in the development of Healthcare 5.0. Further, we adopt the model driven engineering paradigm to propose the reference model of a 5G/6G driven, IoMT enabled cancer care framework and the information model for a brain cancer care scenario. To this end, the paper demonstrates the potential of Healthcare 5.0 to transform IoMT enabled healthcare systems by integrating smart systems with human intelligence to optimize operational processes, advance sustainable practices and improve patient outcomes while addressing existing healthcare delivery challenges like interoperability. Through future projection, this work provides a platform to further explore the intersection of technological advancements based on Healthcare 5.0 and IoMT systems. |
| format | Article |
| id | doaj-art-9e24af48b4be450994cb0118ec86902e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| spelling | doaj-art-9e24af48b4be450994cb0118ec86902e2025-08-20T03:50:20ZengIEEEIEEE Access2169-35362025-01-011311816311818410.1109/ACCESS.2025.358388411053805Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of CareMavis Gezimati0https://orcid.org/0000-0003-0585-2838Ghanshyam Singh1https://orcid.org/0000-0002-5159-3286Department of Electrical and Electronics Engineering Science, Centre for Smart Information and Communication Systems, University of Johannesburg, Auckland Park Kingsway Campus, Johannesburg, South AfricaDepartment of Electrical and Electronics Engineering Science, Centre for Smart Information and Communication Systems, University of Johannesburg, Auckland Park Kingsway Campus, Johannesburg, South AfricaThe evolution of technology towards Healthcare 5.0 corresponding to the fifth industrial revolution (5IR) is enabled by the key technology enablers of Healthcare 4.0 plus the patient centric dimension. This presents a paradigm shift in the healthcare landscape transformation for sustainable, personalized and precise medicine. Most existing studies on Healthcare 5.0 focused on the Healthcare 5.0 enabling technologies and potential architectures and in particular, studies on their application for brain cancer are scarce. However, to ensure a seamless continuum of care, there is need to address critical challenges including system interoperability, data security and capability for early and improved diagnosis. In this paper, we focus on forecasting the transformative potential of Healthcare 5.0 and its role on future generations of medical applications developed on IoMT (Internet of Medical Things) systems by analyzing the paradigm shift in the healthcare technology evolution and suggesting solutions to address the existing challenges. We introduce the Healthcare 5.0, its key enabling technologies, salient features and analyze the evolution of healthcare technology based industrial and manufacturing processes (Healthcare 1.0 to Healthcare 5.0). We establish the potential opportunities and limitations in the development of Healthcare 5.0. Further, we adopt the model driven engineering paradigm to propose the reference model of a 5G/6G driven, IoMT enabled cancer care framework and the information model for a brain cancer care scenario. To this end, the paper demonstrates the potential of Healthcare 5.0 to transform IoMT enabled healthcare systems by integrating smart systems with human intelligence to optimize operational processes, advance sustainable practices and improve patient outcomes while addressing existing healthcare delivery challenges like interoperability. Through future projection, this work provides a platform to further explore the intersection of technological advancements based on Healthcare 5.0 and IoMT systems.https://ieeexplore.ieee.org/document/11053805/Healthcare 5.0Healthcare 4.0Industry 5.0Internet of ThingsInternet of Medical Thingsartificial intelligence |
| spellingShingle | Mavis Gezimati Ghanshyam Singh Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care IEEE Access Healthcare 5.0 Healthcare 4.0 Industry 5.0 Internet of Things Internet of Medical Things artificial intelligence |
| title | Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care |
| title_full | Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care |
| title_fullStr | Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care |
| title_full_unstemmed | Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care |
| title_short | Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care |
| title_sort | forecasting healthcare 5 0 driven iomt for a seamless continuum of care |
| topic | Healthcare 5.0 Healthcare 4.0 Industry 5.0 Internet of Things Internet of Medical Things artificial intelligence |
| url | https://ieeexplore.ieee.org/document/11053805/ |
| work_keys_str_mv | AT mavisgezimati forecastinghealthcare50driveniomtforaseamlesscontinuumofcare AT ghanshyamsingh forecastinghealthcare50driveniomtforaseamlesscontinuumofcare |