Artificial Intelligence Entering Public Healthcare Ecosystems


Union Jack

Artificial Intelligence Entering Public Healthcare Ecosystems

Show simple item record Sun, Tara Qian Medaglia, Rony 2018-10-17T09:42:49Z 2018-10-17T09:42:49Z 2018-10-17
dc.description.abstract The artificial intelligence (AI) field can be traced back to the 1950th (Tzafestas, 2016). In recent years, with the emerging of web 3.0 and big data, AI is rapidly flourishing and start to be widely used in many fields, such as high tech, the automotive industry, financial services, retail, media, education, healthcare and travel (Chui, 2017). Early business adopters regard AI as increasing revenue, while organizations using AI expect lower costs and efficient service (Chui, 2017). In the healthcare sector, the use of AI is slow, compared with other fields, but its adoption is steadily increasing, due to the nature of healthcare services, which require face-to-face interactions for its service delivery (Jung & Padman, 2015). The use of AI in healthcare is a promising field for many businesses (Chui, 2017; Dirican, 2015; McKinsey Global Institute, 2017) and it will be likely to redesign the healthcare sector in many aspects, such as in mining medical records, designing treatment plans, and assisting repetitive jobs (Meskó, 2016). In China, many public hospitals have started to use AI for providing better treatment plans and for helping doctors in advanced decision-making for diagnoses and treatments (Christine Douglass, 2016). The Chinese government has started introducing a number of innovation policies in order to accelerate the development of AI, to inspire healthcare innovation, and to provide easier access to improved and more efficient care for patients. According to Lundvall and Borrás (2006), “innovation policy covers a wide range of initiatives and it is necessary to give some structure to the complex reality”. These innovation policies introduced by diverse actors target both ICT firms and hospitals, with diverse policy instruments and policy goals. Healthcare is one of the major areas in which the government plays a central role, especially in China. AI adoption in healthcare has a strong requirement on policy support. Existing research falls short of analyzing the impacts of innovation policies of AI in healthcare. As a result, there is a need for both researchers and practitioners in the public healthcare sector to understand the effects of policies on the adoption of AI in healthcare in China. Therefore, in our study we would like to tackle the following overarching research question: How do government innovation policies affect the use of AI by actors in the public healthcare ecosystem? This research question is articulated in two sub-research questions: What are the characteristics of government innovation policies (RQ1); and How do the characteristics of government innovation policies affect the use of AI in the public healthcare ecosystem by key actors (hospital managers, IT firms, and doctors)? (RQ2). This extended abstract reports on the initial phases of a study aimed at answering the overarching research question, which is part of the doctoral research design of one of the authors. Our preliminary findings tackle RQ1 by mapping the innovation policies introduced by the government in China, with the future goal of tackling RQ2 by investigating the effects of these policies on the use of AI by specific actors in the public healthcare ecosystem (hospital managers, IT firms, and doctors). en_US
dc.format.extent 11 en_US
dc.language eng en_US
dc.subject.other Artificial Intelligence en_US
dc.subject.other Public Policy en_US
dc.subject.other Healthcare en_US
dc.title Artificial Intelligence Entering Public Healthcare Ecosystems en_US
dc.type cp en_US
dc.contributor.corporation Copenhagen Business School. CBS en_US
dc.contributor.department Institut for Digitalisering en_US
dc.contributor.departmentshort DIGI en_US
dc.contributor.departmentuk Department of Digitalization en_US
dc.contributor.departmentukshort DIGI en_US
dc.description.notes Paper presented at Pre-ICIS Workshop on E-Government, Seoul December 10, 2017 en_US Frederiksberg en_US
dc.publisher.year 2018 en_US
dc.title.subtitle Do Policies Matter? en_US

Creative Commons License This work is licensed under a Creative Commons License.

Files Size Format View
Sun_Medaglia ICIS 2017.pdf 520.5Kb PDF View/Open Conference paper

This item appears in the following Collection(s)

Show simple item record