Technology and value network evolution in telehealth

Abstract

Vesselkov, Hämmäinen, and Töyli formed the idea, constructed models and scenarios. Vesselkov conducted the interviews and wrote the paper. Hämmäinen and Töyli edited the text.Publication IV: "Design and governance of mHealth data sharing" Vesselkov formed the idea, collected the data, conducted interviews and wrote the paper. Hämmäinen and Töyli provided comments on the analysis and edited the text.Publication V: "Internet of things (IoT) platform competition: consumer switching versus provider multihoming" Basaure and Vesselkov formed the idea. Basaure designed the model, run the simulations, and wrote most of the paper. Vesselkov supported the modeling, wrote Sections 2.5 and 2.6, commented other sections, and edited the text. Töyli provided comments on the analysis and edited the text. Publication VI: "Technology and Value Network Evolution in Telehealth"Vesselkov, Hämmäinen, and Töyli formed the idea. Vesselkov collected the data and wrote the paper. Hämmäinen and Töyli provided comments on the analysis and edited the text. RQ1. How do mobile IoT usage patterns differ from consumer devices and across industries?RQ2. How could embedded SIM technology affect the mobile ecosystem? RQ3. How could collaboration and competition be governed in emerging consumer IoT data platforms and particularly mobile health data platforms? RQ4. How could mobile platform providers acting as mobile health data platform providers position themselves in the ecosystem of the healthcare industry?

Distance is no longer a barrier to healthcare services: current state and future trends of telehealth research

“…There was no mechanism for physicians or hospitals to constantly evaluate patients' health and make appropriate suggestions. Remote diagnostics and monitoring in healthcare are now possible due to the increasing prevalence of IoT-connected medical devices and other related technology such as machine learning, artificial intelligence (AI), cloud computing and blockchain, which serve to keep patients safe and healthy while enabling medical professionals to provide better care (Biswas et al, 2020;Khalemsky and Schwartz, 2017;Vesselkov et al, 2018). As interactions with physicians have grown simpler and more efficient, telehealth through IoT has also improved patient involvement and satisfaction (Khodadad-Saryazdi, 2021).…”

“…Prior research has shown that IoT has application areas that benefit patients, communities, physicians, healthcare facilities and insurance providers (Hsiao et al, 2019;Khalemsky and Schwartz, 2017;Pan et al, 2019;Schwartz et al, 2017;Sneha and Varshney, 2009). Wearable technologies such as fitness trackers and other wirelessly linked devices such as cardiovascular monitoring devices and glucometers enable patients to get customized treatment (Aboelmaged et al, 2021;Vesselkov et al, 2018). These gadgets can be programed to remind users of calorie counts, activity checks, medical appointments and blood pressure changes, among others (Ben Arfi et al, 2021;Pan et al, 2019).…”

“…Although telehealth has its merits and is projected to increase substantially over the next decades, its diffusion and use remain susceptible to technological and operational challenges for healthcare (Bakshi and Tandon, 2021;Biswas et al, 2020;Zobair et al, 2020;Yang et al, 2015). For example, when patients use on-demand telehealth services that connect them with a random healthcare professional, care continuity suffers (Vesselkov et al, 2018;Vlahu-Gjorgievska et al, 2019) because the next medical practitioner may not necessarily have access to patient information from prior visits and thus ends up with a patient's incomplete medical history. Shuffling of a service provider raises the chances of a physician not understanding or acquiring information about a patient's medical history (Akter et al, 2013a;Green et al, 2016).…”

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

“…Digital health services do improve the efficiency of the entire healthcare system with enhanced service quality, decreased response time, and an improvised post discharge schedule, resulting in the satisfaction of patients, clinicians, and hospitals ( Laurenza et al., 2018 ; Liu et al., 2018 ; Lu et al., 2021 ; Miao et al., 2017 ; Senot et al., 2016 ). A few other studies discussed the importance of healthcare information technologies in the collection, safety, privacy, and analysis of the huge healthcare data generated in discharging e-health and telemedicine services ( Vesselkov et al., 2018 ; Villalba-Mora. et al., 2015 ; Wang et al., 2018 ).…”

Business analytics in healthcare operations and the use of mobile applications for decision making by health professionals

“…The term "mHealth" first appeared in 2003 and describes the "medical and public health practice supported by mobile devices"(Kay et al 2011). The concept comprises a broad range of technologies, including wireless, mobile, wearable and healthcare apps(Vesselkov et al 2018). In recent years a large number of mHealth apps have been developed and widely used, making mobile technologies emerge as a powerful tool in the health care industryZakhem et al 2018) and there is a rising demand for mobile apps with AI services(Ji Wang et al 2018).Artificial intelligence systems simulate the human mind by learning, reasoning and performing self-correction, and these systems can even be more accurate than physicians in diagnosis in specialties such as surgery, radiology, dermatology and intensive care(Goldhahn & Spinas, 2018).…”