TY - GEN
T1 - Machine learning – a strategic information system opportunity to strengthen healthcare
AU - Mayadunne, Gayathri Kawshali
AU - Wang, Yi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024/2/25
Y1 - 2024/2/25
N2 - Hemas Holdings PLC is one of Sri Lanka’s top diversified firms, focusing on consumer, healthcare and transportation sectors (Hemas Holdings PLC, 2022). Of their many subsidiaries, Hemas Healthcare has been one of their significant ventures in the Sri Lankan business arena. Hemas Healthcare is Sri Lanka’s most significant privately owned healthcare provider, with a substantial reach across the whole Sri Lankan healthcare value chain, and is well known for its ‘The Australian Council Health Standard International’ (ACHSI) approved hospitals in Wattala and Thalawathugoda, Sri Lanka (Hemas, 2023). Furthermore, Hemas Healthcare introduced Sri Lanka’s first digital healthcare platform under the patronage of the International Finance Corporation (IFC) to provide expert healthcare about medical treatment, health education and information services via telehealth (IFC, 2020). With the introduction of the Digital Health application, Hemas Healthcare has now encountered a strategic information system (SIS) opportunity to further develop and enhance its information technology (IT) resources to strengthen its business endeavours and to gain a competitive advantage in the Sri Lankan Healthcare industry. The Digital Health application has the potential to be further developed into an IT platform where Artificial Intelligence (AI) can be integrated to provided a streamlined healthcare service. Strategies. This paper will discuss how Machine learning ( ML) can strategically strengthen digital healthcare.
AB - Hemas Holdings PLC is one of Sri Lanka’s top diversified firms, focusing on consumer, healthcare and transportation sectors (Hemas Holdings PLC, 2022). Of their many subsidiaries, Hemas Healthcare has been one of their significant ventures in the Sri Lankan business arena. Hemas Healthcare is Sri Lanka’s most significant privately owned healthcare provider, with a substantial reach across the whole Sri Lankan healthcare value chain, and is well known for its ‘The Australian Council Health Standard International’ (ACHSI) approved hospitals in Wattala and Thalawathugoda, Sri Lanka (Hemas, 2023). Furthermore, Hemas Healthcare introduced Sri Lanka’s first digital healthcare platform under the patronage of the International Finance Corporation (IFC) to provide expert healthcare about medical treatment, health education and information services via telehealth (IFC, 2020). With the introduction of the Digital Health application, Hemas Healthcare has now encountered a strategic information system (SIS) opportunity to further develop and enhance its information technology (IT) resources to strengthen its business endeavours and to gain a competitive advantage in the Sri Lankan Healthcare industry. The Digital Health application has the potential to be further developed into an IT platform where Artificial Intelligence (AI) can be integrated to provided a streamlined healthcare service. Strategies. This paper will discuss how Machine learning ( ML) can strategically strengthen digital healthcare.
KW - decision making
KW - digital technology management
KW - Information systems
KW - IT management
KW - strategic information systems management
UR - https://www.scopus.com/pages/publications/85187777133
U2 - 10.1007/978-981-97-0665-5_50
DO - 10.1007/978-981-97-0665-5_50
M3 - Conference contribution
AN - SCOPUS:85187777133
SN - 9789819706648
T3 - Lecture Notes in Electrical Engineering
SP - 388
EP - 394
BT - Advanced Manufacturing and Automation XIII
A2 - Wang, Yi
A2 - Yu, Tao
A2 - Wang, Kesheng
PB - Springer
T2 - 13th International Workshop of Advanced Manufacturing and Automation, IWAMA 2023
Y2 - 15 October 2023 through 16 October 2023
ER -