ISSN : 2287-1608
The purpose of this article is to provide preliminary findings on the state of digital technology applications of startups in Southeast Asia and to discuss issues related to digital health adoption in the region. This exploratory study is based on an empirical analysis of startups and digital technology applications information from various publicly available website databases. Public and private organizations would benefit from a better understanding of the current state of digital technology applications provided by startups and the challenges faced in digital health adoption. This article contributes to the existing literature by offering an overview of startups and digital technology applications in the digital health space in the fast-growing region of Southeast Asia. It offers advice to organizations intending to pursue healthtech initiatives on the types of health services provided by startups and issues that need to be addressed to increase the adoption rate.
Apple. (n.d). Apple series watch 4. Retrieved from https://www.apple.com/sg/apple-watch-series-4/design/
ASEAN UP. (2019). Southeast Asia digital, social and mobile 2019. Retrieved from https://aseanup.com/southeast-asia-digital-social-mobile/
AWAK Technologies. (n.d.). Giving your life back! Retrieved from http://awak.com/ product/
Becker, M. (2018). Understanding users’ health information privacy concerns for health wearables. Proceedings of the 51st Hawaii International Conference on System Sciences. Retrieved from https://pdfs.semanticscholar.org/c4a5/206eafcf533565f936 ce5a70b8b11226f43d.pdf
Bhunia, P. (2019). Integrated Malaysian health data warehouse launched to serve as a trusted source of comprehensive healthcare data. OpenGovAsia. Retrieved from https://www.opengovasia.com/integrated-malaysian-health-data-warehouse-launched-to-serve-as-a-trusted-source-of-comprehensive-healthcare-data/
Bollard, A., Singla, A., Sood, R. and van Ouwerkerk, J. (2016). Transforming operations management for a digital world. McKinsey Digital, October. Retrieved from https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/transforming-operations-management-for-a-digital-world
Daruwalla, Z. J., McKeering, D., Kambhammettu, S., Bhattacharjee, K. and Chainani, N. R. (2018). Horizon scanning for new and emerging technologies in healthtech: What do the present and future hold? PwC. Retrieved from https://www.pwc.com/sg/ en/publications/assets/healthcare-horizon-scanning-emerging-tech-2018.pdf
Deloitte. (2019). 2019 Global health care outlook: Shaping the future. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Life-Sciences-Health-Care/gx-lshc-hc-outlook-2019.pdf
Drury, P., Roth, S., Jones, T., Stahl, M. and Medeiros, D. (2018). Guidance for investing in digital health. ADB Sustainable Development Working Paper Series, No.52, May. Retrieved from https://www.adb.org/sites/default/files/publication/424311/sdwp-052-guidance-investing-digital-health.pdf
Economist Intelligence Unit. (2016). South-east Asia the new emerging healthcare market challenge. Retrieved from http://www.eiu.com/Handlers/WhitepaperHandler. ashx?fi=Clearstate-Healthcare-SEA-v5-(1).pdf&mode=wp&campaignid=SEAsia Healthcare
Feijt, M. A., de Kort, Y. A., Bongers, I. M. and IJsselsteijn, W. A. (2018). Perceived drivers and barriers to the adoption of emental health by psychologists: The construction of the levels of adoption of emental health model. Journal of Medical Internet Research, 20(4), e153. Retrieved from https://www.ncbi.nlm.nih.gov/ pubmed/29691215
Fiorentino, R., Longobardi, S. and Scaletti, A. (2021). The early growth of start-ups: Innovation matters. Evidence from Italy. European Journal of Innovation Management, 24(5), 1525-1546. Retrieved from https://doi.org/10.1108/EJIM-02-2020-0057
Fuster, V. (2017). Changing demographics: A new Approach to global health care due to the aging population. Journal of the American College of Cardiology, 69(24), 3002–3005. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/28619199
Galen Growth Asia. (2019). Singapore’s healthtech ecosystem: An overview. Retrieved from https://cdn2.hubspot.net/hubfs/3944817/Singapore%20HealthTech/Singapore% 20HealthTech%20Ecosystem%20-%20Galen%20Growth%20Asia%20EDB.pdf
George, G., Lakhani, K. R. and Puranam, P. (2020). What has changed? The Impact of Covid Pandemic on the Technology and Innovation Management Research Agenda. Journal of Management Studies, 57(8), 1754–1758. Retrieved from https://doi.org/ 10.1111/joms.12634
Giansanti, D. (2022). The digital Health: From the experience of the COVID-19 pandemic onwards. Life (Basel), 12(1), 78. Retrieved from https://www.mdpi. com/2075-1729/12/1/78
Harerimana, G., Jang, B., Kim, J. W. and Park, H. K. (2018). Health big data analytics: A technology survey. IEEE Access, 6, 65661–65678. Retrieved from https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8510800
Hassani, H., Silva, E. S., Unger, S., TajMazinani, M. and Mac Feely, S. (2020) Artificial intelligence (AI) or intelligence augmentation (IA): What is the future? AI, 1(2), 143-155. Retrieved from https://doi.org/10.3390/ai1020008
Hiremath, P., Suhas Kowshik, C. S., Manjunath, M. and Shettar, M. (2020). COVID 19: Impact of lock-down on mental health and tips to overcome. Asian Journal of Psychiatry, 51, 102088–102088. Retrieved from https://doi.org/10.1016/j.ajp.2020. 102088
Holmusk. (n.d). Specialty electronic health records. Retrieved from https://holmusk. com/specialty-ehr/
IBM Watson Health. (n.d). Artificial intelligence in medicine. Retrieved from https://www.ibm.com/watson-health/learn/artificial-intelligence-medicine
Internet Governance Forum. (2018). Best practice forum on internet of things, big data, artificial intelligence. Retrieved from http://www.intgovforum.org/multilingual/ content/bpf-internet-of-things-iot-big-data-and-artificial-intelligence-ai-2018
Jonek-Kowalska, I. and Wolniak, R. (2021). The influence of local economic conditions on start-ups and local open innovation system. Journal of Open Innovation: Technology, Market and Complexity, 7, 110. Retrieved from https://doi.org/ 10.3390/joitmc7020110
Kaleta, J. P. and Mahadevan, L. (2020). Examining differences in perceptions of trust, privacy and risk in home and public Wi-Fi internet channels. Journal of Systems and Information Technology, 12(3), 265-287. Retrieved from https://doi.org/10.1108/ JSIT-04-2019-0075
Kheng, K. S. (2019). A world of difference between health and healthcare. The Star Online. Retrieved from https://www.thestar.com.my/opinion/columnists/vital-signs/2019/07/10/a-world-of-difference-between-health-and-healthcare
KroniKare. (n.d.). Kronikare: How does it work? Retrieved from http://kronikare.com/
Li, D., Kulasegaram, K. and Hodges, B.D. (2019). Why we needn’t fear the machines: Opportunities for medicine in a machine learning world. Academic Medicine, 94(5), 623-625. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/30768470
Macrae, C. (2019). Governing the safety of artificial intelligence in healthcare. BMJ Quality & Safety, 28(6), 495-498. Retrieved from https://qualitysafety.bmj.com/content/28/6/495
Mahal, A. and McPake, B. (2017). Health systems for aging societies in Asia and the Pacific. Health Systems & Reform, 3(3), 149–153. Retrieved from https://www.tandfonline.com/doi/full/10.1080/23288604.2017.1356429
Massoudi, B. L., Chester, K. and Shah, G. H. (2016). Public health staffdevelopment needs in informatics: Findings from a national survey of local health departments. Journal of Public Health Management and Practice, 22(6), S58-S62. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/27684619
McKeering, D., Yoong, J., Daruwalla, Z. J. and Chainani, N. (2017). Digital health challenges and solutions to measuring return on investment. PwC. Retrieved from https://www.pwc.com/sg/en/publications/assets/digital-health-roi-2017.pdf
Mehta, N. and Pandit, A. (2018). Concurrence of big data analytics and healthcare: A systematic review. International Journal of Medical Informatics, 114, 57–65. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29673604
Meskó, B., Drobni, Z., Bényei, É., Gergely, B. and Győrffy, Z. (2017). Digital health is a cultural transformation of traditional healthcare. mHealth, 3, 38. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29184890
Meskó, B., Hetényi, G. and Győrffy, Z. (2018). Will artificial intelligence solve the human resource crisis in healthcare? BMC Health Services Research, 18, 1. Retrieved from https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-018-3359 -4
Nayak, B., Bhattacharyya, S.S. and Krishnamoorthy, B. (2019). Integrating wearable technology products and big data analytics in business strategy: A study of health insurance firms. Journal of Systems and Information Technology, 21(2), 255-275. Retrieved from https://doi.org/10.1108/JSIT-08-2018-0109
Ooca. (n.d.). It’s okay. Let’s talk. Retrieved from https://www.ooca.co/
Palabindala, V., Pamarthy, A. and Jonnalagadda, N. R. (2016). Adoption of electronic health records and barriers. Journal of Community Hospital Internal Medicine Perspectives, 6(5), 326-343. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/ 27802857
Perakslis, E. and Ginsburg, G. S. (2021). Digital Health : The need to assess benefits, risks, and value. JAMA, 325(2), 127–128. Retrieved from doi:10.1001/jama. 2020.22919
PricewaterhouseCoopers. (2018). The future of ASEAN - Time to act. Retrieved from https://www.pwc.com/gx/en/growth-markets-centre/publications/assets/pwc-gmc-the-future-of-asean-time-to-act.pdf
Qiu, J., Shen, B., Zhao, M., Wang, Z., Xie, B. and Xu, Y. (2020). A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. General Psychiatry, 33(2), Article e100213. Retrieved from 10.1136/gpsych-2020-100213
Ritchie, H. and Roser, M. (2018). Causes of death. Retrieved from https:// ourworldindata.org/causes-of-death
Ritchie, H. and Roser, M. (2019). Burden of disease. Retrieved from https:// ourworldindata.org/burden-of-disease
Rodrigues, J. J. P. C., Segundo, D. B. D. R., Junqueira, H. A., Sabino, M. H., Prince, R. M., Al-Muhtadi, J. and V. H. C. (2018). Enabling technologies for the internet of health things. IEEE Access, 6, 13129–13141. Retrieved from https://www. researchgate.net/publication/322261039_Enabling_Technologies_for_the_Internet_of_Health_Things
Rogers, E. (1995). Diffusion of Innovations. New York: Free Press.
Ross, C. and Swetlitz, I. (2017). IBM pitched Watson as a revolution in cancer care. It's nowhere close. STAT. Retrieved from https://www.statnews.com/2017/09/05/watson-ibm-cancer/
Safavi, K., Mathews, S. C., Bates, D. W., Dorsey, E. R. and Cohen, A. B. (2019). Top-funded digital health companies and their impact on high-burden, high-cost conditions. Health Affairs, 38(1), 115-123. Retrieved from https://www.ncbi.nlm.nih.gov/ pubmed/30615535
Shah, H. (2018). Internet of things rollouts in the telehealth industry. Telehealth and Medicine Today, 2, 3. Retrieved from https://telehealthandmedicinetoday.com/index. php/journal/article/view/13
Siau, C. S., Wee, L. H., Ibrahim, N., Visvalingam, U., Yeap, L. L. L. and Heng, S. (2018). Predicting burnout and psychological distress risks of hospital healthcare workers. Malaysian Journal of Public Health Medicine, Special Issue 1, 125-136. Retrieved from https://ukm.pure.elsevier.com/en/publications/predicting-burnout-and-psychological -distress-risks-of-hospital-h
Solidiance. (2018). The USD 320 billion healthcare challenge in ASEAN. Retrieved from https://solidiance.com/insights/healing/white-papers/the-usd-320-billion-healthcare -challenge-in-asean?utm_source=landingpage&utm_medium=mynewsdesk&utm_campaign=WP_ASEAN_healthcare_challenge
Spanaki, K., Gürgüç, Z., Mulligan, C. and Lupu, E. (2019). Organizational cloud security and control: A proactive approach. Information Technology & People, 32(3), 516-537. Retrieved from https://doi.org/10.1108/ITP-04-2017-0131
Tan, H. and Yan, M. (2020). Physician-user interaction and users' perceived service quality: evidence from Chinese mobile healthcare consultation, Information Technology & People, 33(5), 1403-1426. Retrieved from https://doi.org/10.1108/ITP-01-2019-0039
Tavakoli, M., Carriere, J. and Torabi, A. (2020). Robotics, Smart Wearable Technologies, and Autonomous Intelligent Systems for Healthcare During the COVID‐19 Pandemic: An Analysis of the State of the Art and Future Vision. Advanced Intelligent Systems, 2(7), 2000071–n/a. Retrieved from https://doi.org/10.1002/aisy.202000071
Taylor, K., Sanghera, A., Steedman, M. and Thaxter, M. (2018). Medtech and the internet of medical things: How connected medical devices are transforming health care. Deloitte Center for Health Solutions, July. Retrieved from https://www 2.deloitte.com/content/dam/Deloitte/global/Documents/Life-Sciences-Health-Care/gx-lshc-medtech-iomt-brochure.pdf
United Nations (2019). World population prospects 2019. Retrieved from https://population.un.org/wpp/DataQuery/
Vayena, E., Haeusermann, T., Adjekum, A. and Blasimme, A. (2018). Digital health: Meeting the ethical and policy challenges. Swiss Medical Weekly, 148, 34. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29376547
Wang, Y., Kung, L. and Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13. Retrieved from https://www. sciencedirect.com/science/article/pii/S0040162516000500?via%3Dihu
Wang, L., Sun, Z., Dai, X., Zhang, Y. and Hu, H. (2019). Retaining users after privacy invasions: The roles of institutional privacy assurances and threat-coping appraisal in mitigating privacy concerns, Information Technology & People, 32(6), 1679-1703. Retrieved from https://doi.org/10.1108/ITP-01-2018-0020
Wholey, D. R., LaVenture, M., Rajamani, S., Kreiger, R., Hedberg, C. and Kenyon, C. (2018). Developing workforce capacity in public health informatics: core competencies and curriculum design. Frontiers in Public Health, 6, 124. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29770321
Wonglimpiyarata, J. and Yuberk, N. (2005). In support of innovation management and Roger’s innovation diffusion theory. Government Information Quarterly, 22, 411–422. Retrieved from doi:10.1016/j.giq.2005.05.005