An appraisal of literature for design and implementation of developing a framework for digital twin and validation throu
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ORIGINAL PAPER
An appraisal of literature for design and implementation of developing a framework for digital twin and validation through case studies Sanjay Mohapatra 1
&
Sayan Bose 1
Received: 27 January 2020 / Accepted: 22 May 2020 # IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The purpose of this research paper is to develop a framework for implementing digital twin in the healthcare industry. Several literatures were reviewed for this purpose and references were taken to construct the proposed framework. After defining the proposed framework, case studies in the healthcare sector were taken to evaluate the effectiveness of the proposal. The case studies that were chosen are closest to the implementation of the digital twin concept. From the analysis, it is observed that most of the components in the proposed framework are implemented, ensuring the robustness and efficiency of the proposal, as per the data collected for validation. Keywords Digitization . Digital twin . Electronic healthcare . Framework, case study
1 Introduction Digital Twin is a dynamic representation of physical instances in a virtual environment which is continuously fed with data from sensors and software (Mohapatra et al. [8]. It is enabled by visualisation, simulation, IoT and analytics and is used for modelling, prediction, providing feedback and optimising the performance. Digital Twin operates based on three components which are first, data model – consisting of hierarchy of systems, sub-systems and components that define the structure and its features; secondly, analytics which predict, describe [19] and prescribe the current and future functioning of the assets through artificial intelligence and machine learning models; and lastly, knowledge base which have data sources that feeds analytics, historical data and best practices [22] followed across the industry. Digital Twin will leverage the digital advantage to create customer-centricity and will
deliver customer experience. Industry experts recognise digital twin to be among the top ten strategic technology trends [4, 21] for the upcoming decade and predict about 50% of large companies will harness digital twins by 2021. As the Healthcare industry is going through a significant paradigm shift [9] from pay-for-procedure to a more targeted and precise approach to patient care that is pay-for-value, the concept of Digital Twin of Patients can lay foundation for future research. This paper tries to explore how the creation of a digital twin for a patient and its ecosystem can drive personalisation to the molecular level, thus enabling personalised care. Implementation of this concept will redefine boundaries across industries by leveraging ecosystems through collaborations to deliver precision medicines and value-added services. This initiative will create a landscape which guarantees a high return on the risk taken and focus on this strategic move will deliver the targeted value-based care.
* Sanjay Mohapatra [email protected]
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