Business models for sustainable commercialisation of digital healthcare (eHealth) innovations for an increasingly ageing population

Oderanti, Festus Oluseyi; Li, Feng; Cubric, Marija; Shi, Xiaohui

doi:10.1016/j.techfore.2021.120969

Cited by 45 publications

(26 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Indeed, the characteristics of the survivors in the OCC group are factors that influence the self-management of individuals in an eHealth environment [ 43 ]. Could this OCC group represent the starting point for user uptake and implementation of web-based interventions, many of which remain on the shelf [ 46 , 47 ]? It may be that eHealth feels too burdensome for survivors and that the interventions should be more focused on e-Learning.…”

Section: Discussionmentioning

confidence: 99%

Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study

Eenbergen¹,

Vromans²,

Tick³

et al. 2022

JMIR Cancer

View full text Add to dashboard Cite

Background Most Western countries have websites that provide information on cancer and the opportunity to participate in online cancer communities (OCCs). The number of patients with cancer that participate in these OCCs is growing. These patients are relatively easy to approach for research purposes. Objective The objective of this study is to determine the differences and similarities between survivors of cancer in population-based samples and survivors participating in OCCs who use the internet in relation to their illness. Methods In 2017, we drew a sample of 539 population-based patients and 531 OCC patients. The population-based patients were sent a paper-based questionnaire, and the OCC patients were sent the same questionnaire on the web. In the questionnaire, we asked patients about their sociodemographics, internet use, sources of information, media use, and wishes regarding future internet use for health care–related purposes, and the effect of internet use on their health care consumption. Results The response rate of population-based internet users was 47% (233/496), and that of the OCC group was 40.3% (214/531). The OCC group had a significantly higher education level (P<.001), was younger (P<.001), had more survivors that were employed (P<.001), and attached greater importance to the internet (171/214, 79.9% vs 126/233, 54.1%; P<.001) and fellow survivors (107/214, 50% vs 60/233, 25.8%; P<.001). Compared with the population-based group, the OCC group reported more intensive internet use immediately after diagnosis, during treatment, and during follow-up (P<.001 in each case). There were similarities in terms of the relative importance that survivors attach to the various sources of information, the topics on which they seek information, and their wishes for future eHealth possibilities. The OCC group reported a greater need to participate in a web-based class or chat with others (92/214, 43% vs 44/233, 18.9%). Conclusions We conclude that survivors who are members of an OCC are not representative of survivors of cancer in general. There are significant differences in sociodemographic characteristics, internet use during their treatment journey, internet search frequency during their cancer journey, and participation wishes. Using web-based information and communication can support shared decision-making and may facilitate the active participation of patients during their treatment. For research purposes, it is important to take the bias in OCC groups into account.

show abstract

Section: Discussionmentioning

confidence: 99%

Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study

Eenbergen¹,

Vromans²,

Tick³

et al. 2022

JMIR Cancer

View full text Add to dashboard Cite

show abstract

“…(2021) recommended that researchers carry out further studies based on sociolegal dimensions coupled with regulatory challenges in adopting telemedicine services and digital healthcare. Some studies have specifically emphasized the identification of challenges in adopting telemedicine services by hospitals and clinicians (Cegarra-Sánchez et al., 2020; Chowdhury et al., 2021 ; Lee and Lee, 2021 ; Oderanti et al., 2021 ). Chandwani et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“… ( Al-Samarraie et al., 2020 ; Armfield et al., 2015 ; Scott Kruse et al., 2018 ) 3 Patient age and family background

The age of patient, i.e., child, teenager, adult or old; and his family background, such as educated family, urban/rural, rich/poor, etc. ( Oderanti et al., 2021 ; Scott Kruse et al., 2018 ) 4 Trust in Telemedicine

This shows the trust of a patient and his social circle in telemedicine services. Trust is important for patient's acceptance of telemedicine services and helps in recovery.…”

Section: Literature Reviewmentioning

confidence: 99%

Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic

Chauhan

Jakhar

Jabbour

2022

Technological Forecasting and Social Change

View full text Add to dashboard Cite

Technological interventions in the healthcare sector, namely, telemedicine services, have helped the government and people in these extraordinarily challenging times of ongoing COVID-19 pandemic. We identify and group key success factors relevant to telemedicine services under 7 contextual criteria. Furthermore, we explore the causal relations among them using the decision-making trial and evaluation laboratory (DEMATEL) method. Then, by applying the Bayesian best-worst method (BWM), we compute the relative importance of these criteria. Thereafter, we rank six hospitals that have provided telemedicine services through a comparative evaluation using the VIsekriterijumsko KOmpromisno Rangiranjie (VIKOR) method. The threefold findings of our study reveal that (i) the technological criteria provide the highest causal impact, while the environmental criteria provide the least causal impact. (ii) The hierarchical model of criteria, achieved through the Bayesian BWM score, shows that the criteria weights for both technological and organizational criteria are maximum (0.205) and minimum (0.087), respectively. (iii) The evaluation of six hospitals with VIKOR based on seven criteria ranks the Himalayan hospital as first, showing that it is best in providing telemedicine services to patients. Public health policymakers could use the results of our study to devise an effective plan for patient care in crisis, like COVID-19.

show abstract

“…In healthcare organizations, AI and big data analytics have been associated with improved quality of care, higher patient satisfaction and lower readmission rates, contingent on existing BDA capabilities and skilled personnel (Wang, Kung, Gupta, & Ozdemir, 2019). Applications of AI in medicine include affordable personalized health and e-health services (Oderanti, Li, Cubric, & Shi, 2021), or social robots that help overcome loneliness and assist in active ageing (Odekerken-Schr öder, Mele, Russo-Spena, Mahr, & Ruggiero, 2020). However, public acceptance of AI in healthcare is still limited and customers may resist medical advice if it is provided by AI (Longoni, Bonezzi, & Morewedge, 2019).…”

Section: Improved Health and Well-beingmentioning

confidence: 99%

Smart Business and the Social Value of AI

Leszkiewicz¹,

Hormann²,

Krafft³

2022

Advanced Series in Management

View full text Add to dashboard Cite

Organizations across industries are increasingly using Artificial Intelligence (AI) systems to support their innovation processes, supply chains, marketing and sales and other business functions. Implementing AI, firms report efficiency gains from automation and enhanced decision-making thanks to more relevant, accurate and timely predictions. By exposing the benefits of digitizing everything, COVID-19 has only accelerated these processes. Recognizing the growing importance of AI and its pervasive impact, this chapter defines the "social value of AI" as the combined value derived from AI adoption by multiple stakeholders of an organization. To this end, we discuss the benefits and costs of AI for a business-to-business (B2B) firm and its internal, external and societal stakeholders. Being mindful of legal and ethical concerns, we expect the social value of AI to increase over time as the barriers for adoption go down, technology costs decrease, and more stakeholders capture the value from AI. We identify the contributions to the social value of AI, by highlighting the benefits of AI for different actors in the organization, business consumers, supply chain partners and society at large. This chapter also offers future research opportunities, as well as practical implications of the AI adoption by a variety of stakeholders.

show abstract

Business models for sustainable commercialisation of digital healthcare (eHealth) innovations for an increasingly ageing population

Cited by 45 publications

References 47 publications

Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study

Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study

Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic

Smart Business and the Social Value of AI

Contact Info

Product

Resources

About