What is coming next in health technology startups? Some insights and practice guidelines.

Health technology startups are experiencing a significant surge in growth, particularly since the COVID-19 pandemic, as they address gaps in the sector. However, despite their increasing prevalence, there is still relatively limited knowledge about this sector's evolution. This opinion article explores emerging trends in health startups, including their market size, growth, significant challenges, and guidelines for key stakeholders from a global healthcare service industry perspective. By gaining a better understanding of these trends, new research opportunities and evidence-based practices can be identified.

Health-tech startups in healthcare service delivery: A scoping review.

BACKGROUND: An efficient and affordable healthcare service delivery to everyone is a prerogative of the national governments. Such delivery is quite exacting, and gaps remain. In this regard, startups are trying to disrupt the market with innovative solutions and reach the underserved market. Though anecdotal evidence remains, a rigorous literature review is missing. This paper attempts to understand the status of health-tech startups in healthcare service delivery. METHODS: We scanned a total of 110 journals - Financial Times top 50, top ten information systems journals listed by the Australian Business Dean Council, and the top 50 Scopus indexed journals in health informatics and health information management. We followed a systematic process for this scoping review - reading of titles, abstracts, and then full papers for final analysis based on inclusion and exclusion criteria. RESULTS: A total of 76 articles met the inclusion criteria. Only five studies portrayed the status of health-tech startups in healthcare service delivery. To capture the overall startup ecosystem, we continued with a scoping review of all the 76 articles. DISCUSSIONS: The identified five themes are Technology adoption, Electronic health services, Business planning and framework, Psychographics, and Regulations. There is evidence of technology adoption in service delivery and its nature in the businesses undertaken by startups. Very few studies represented the patterns of the existing business model. The acceptance of the services is dependent on service effectiveness and affordability. The challenges are licensing, policies, data privacy and security, and inadequate technology access among healthcare seekers. CONCLUSIONS: Albeit the feasibility potential, research concerning the impact of health tech startups in healthcare service delivery is emerging but incipient. The review indicates that research on startups is inadequate, especially related to entrepreneurship, business frameworks, and regulations. Future research should explore the same.

Modelling the Service Experience Encounters Using User-Generated Content: A Text Mining Approach.

Among services, the immense growth of Indian tourism in the last years has attracted the interest of practitioners, researchers, and governments. Service experiences at the point of encounter can impact the consumption of these tourism services extensively. However, measuring the service experience at the point of service encounter becomes a bit difficult. The tourists who visit India often share their experiences immediately regarding their service encounter in social media. These tweets often have high sentiments and emotional content. In this study, we attempt to identify factors which impact customer service experience, at the point of service encounter, by mining social media discussions. After removing spurious tweets, 7,91,804 tweets were identified and analysed in this study. Factors such as accessibility, accommodation, assurance, cultural attraction, Jugaadu service flexibility, cleanliness, hospitality, price, restaurant, and security were identified using topic modelling, topic association mining, and sentiment analysis. We attempt to model these experiences and their drivers across five zones of India, namely North, South, East, West, and North-East India. Our inferential analysis highlights that the importance and impact of these factors differ significantly zone wise across India, which indicates high location specificity of factors which impact the customer service experience. The study elaborates implications for theory and practice based on our findings.