TY - GEN
T1 - System Dynamics Modeling for Understanding the Adoption of Digital Therapeutics
AU - Koul, Saroj
AU - Mishra, Vinaytosh
AU - Taylor, Ivan W.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Digital Therapeutics (DTx) is an expanding category of healthcare technologies utilising evidence-based software programs to treat, manage, or prevent illnesses and afflictions. The rise of DTx signifies a substantial transformation in the healthcare industry, providing cutting-edge remedies for managing, treating, and preventing diseases using software-based treatments. Nevertheless, the implementation of DTx encounters various obstacles driven by an intricate legal, technological, economic, and behavioural interaction. This study utilises System Dynamics Modelling (SDM) to examine the complicated dynamics that impact the adoption of DTx. The model showcases the interaction between these elements over time, illustrating how they affect the rate and extent of DTx adoption by simulating different situations. The model also examines the effects of potential legislative interventions, technological advancements, and strategic collaborations within the business to overcome barriers to adoption. This study offers a thorough overview of the adoption landscape, providing valuable information for developers of DTx, health care policymakers, and stakeholders who aim to fully use the potential of DTx in enhancing patient outcomes and transforming healthcare delivery.
AB - Digital Therapeutics (DTx) is an expanding category of healthcare technologies utilising evidence-based software programs to treat, manage, or prevent illnesses and afflictions. The rise of DTx signifies a substantial transformation in the healthcare industry, providing cutting-edge remedies for managing, treating, and preventing diseases using software-based treatments. Nevertheless, the implementation of DTx encounters various obstacles driven by an intricate legal, technological, economic, and behavioural interaction. This study utilises System Dynamics Modelling (SDM) to examine the complicated dynamics that impact the adoption of DTx. The model showcases the interaction between these elements over time, illustrating how they affect the rate and extent of DTx adoption by simulating different situations. The model also examines the effects of potential legislative interventions, technological advancements, and strategic collaborations within the business to overcome barriers to adoption. This study offers a thorough overview of the adoption landscape, providing valuable information for developers of DTx, health care policymakers, and stakeholders who aim to fully use the potential of DTx in enhancing patient outcomes and transforming healthcare delivery.
KW - Analytical Hierarchy Process
KW - DTx
KW - Digital Health
KW - Digital Therapeutics
KW - System Dynamics Modelling
KW - Technology Adoption
UR - https://www.scopus.com/pages/publications/85207046049
U2 - 10.1109/IC2SDT62152.2024.10696490
DO - 10.1109/IC2SDT62152.2024.10696490
M3 - Conference contribution
AN - SCOPUS:85207046049
T3 - 1st International Conference on Pioneering Developments in Computer Science and Digital Technologies, IC2SDT 2024 - Proceedings
SP - 210
EP - 215
BT - 1st International Conference on Pioneering Developments in Computer Science and Digital Technologies, IC2SDT 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Pioneering Developments in Computer Science and Digital Technologies, IC2SDT 2024
Y2 - 2 August 2024 through 4 August 2024
ER -