TY - GEN
T1 - Strategic opportunities of using AI in healthcare industry
AU - Dahiya, Ritu
AU - Wang, Yi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025/4/15
Y1 - 2025/4/15
N2 - Babylon Health is one of the leading companies that are operating in the healthcare sectors of the UK. In 2013, Ali Parsa, a British-Iranian ex-banker, founded healthcare as an information industry that everyone can access. Very recently Babylon Health has started to utilize AI in the healthcare industry by employing advanced algorithms to enhance medical services. As noted by Panesar (2019), their AI-driven applications assist in preliminary diagnostics, offering users personalized health information based on symptoms provided. Babylon's virtual health consultations leverage AI to analyze patient input, aiding in triage and facilitating more efficient healthcare delivery. Additionally, the platform employs machine learning to continuously improve diagnostic accuracy and treatment recommendations. According to Reddy et al. (2019), Babylon Health's AI tools contribute to accessible and timely healthcare by providing on-demand consultations, health monitoring, and relevant medical insights. As noted by Baker et al. (2020), the integration of artificial intelligence supports healthcare professionals in making informed decisions and enables individuals to manage their health proactively. Overall, Babylon Health harnesses AI to augment healthcare accessibility, efficiency, and the quality of patient experiences. Babylon is a healthcare technology company that provides digital health services. Their platform offers telemedicine, allowing users to consult with healthcare professionals through video calls (Davenport and Kalakota 2019a). Additionally, Babylon provides AI-driven health assessments, health monitoring tools, and a digital health subscription service. The company aims to make healthcare more accessible and efficient through the use of technology.
AB - Babylon Health is one of the leading companies that are operating in the healthcare sectors of the UK. In 2013, Ali Parsa, a British-Iranian ex-banker, founded healthcare as an information industry that everyone can access. Very recently Babylon Health has started to utilize AI in the healthcare industry by employing advanced algorithms to enhance medical services. As noted by Panesar (2019), their AI-driven applications assist in preliminary diagnostics, offering users personalized health information based on symptoms provided. Babylon's virtual health consultations leverage AI to analyze patient input, aiding in triage and facilitating more efficient healthcare delivery. Additionally, the platform employs machine learning to continuously improve diagnostic accuracy and treatment recommendations. According to Reddy et al. (2019), Babylon Health's AI tools contribute to accessible and timely healthcare by providing on-demand consultations, health monitoring, and relevant medical insights. As noted by Baker et al. (2020), the integration of artificial intelligence supports healthcare professionals in making informed decisions and enables individuals to manage their health proactively. Overall, Babylon Health harnesses AI to augment healthcare accessibility, efficiency, and the quality of patient experiences. Babylon is a healthcare technology company that provides digital health services. Their platform offers telemedicine, allowing users to consult with healthcare professionals through video calls (Davenport and Kalakota 2019a). Additionally, Babylon provides AI-driven health assessments, health monitoring tools, and a digital health subscription service. The company aims to make healthcare more accessible and efficient through the use of technology.
KW - Digital medical services
KW - Health industry
KW - artificial intelligence
KW - health care
KW - Health care
KW - Artificial Intelligence
KW - Information systems
UR - https://www.scopus.com/pages/publications/85218975400
U2 - 10.1007/978-981-96-2625-0_51
DO - 10.1007/978-981-96-2625-0_51
M3 - Conference contribution
SN - 9789819626243
T3 - Lecture Notes in Electrical Engineering
SP - 398
EP - 402
BT - Advanced Manufacturing and Automation XIV
A2 - Wang, Yi
A2 - Yu, Tao
A2 - Wang, Kesheng
PB - Springer
T2 - Advanced Manufacturing and Automation XIV
Y2 - 11 October 2024 through 12 October 2024
ER -