Technology adoption potential of medical devices: The case of wearable sensor products for pervasive care in neurosurgery and orthopedics

Hogaboam, Liliya; Daim, Tuğrul U.

doi:10.1016/j.hlpt.2018.10.011

Cited by 29 publications

(7 citation statements)

References 22 publications

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“…One measuring tool to evaluate this changing scenario is investments made by venture capitalist in health-care startups (Garbuio and Lin, 2019). Typically, the following key factors determine the growth and sustainability of health care: integrated digital healthcare portfolio inclusive of drugs design, production and its supply chain (Bardy, 2019; Velthoven et al , 2019), health information technology and services and medical devices and sensors (Hogaboam and Daim, 2018); customer data management (including patient digital record keeping, its management and coordination) (Pramanik et al , 2019); digital healthcare data integration (across digital devices and social media, Web data, market data and interhospital) (Saheb and Izadi, 2019); and analytics and big data (Clim et al , 2018; Khennou et al , 2018; Saheb and Izadi, 2019). …”

Section: Literature Reviewmentioning

confidence: 99%

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Barriers to blockchain adoption in health-care industry: an Indian perspective

Sharma

Joshi

2021

JGOSS

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Purpose This paper aims to identify barriers toward the adoption of blockchain (BC) technology in Indian health-care industry and also examines the significant issues of BC applications in health-care industry. Design/methodology/approach The barriers of the study are identified by two phases including the review of literature and semistructured interviews with hospital staff and administration operating in India. The experts (N = 15) are being taken from top-level management, IT experts and patients from the hospitals. The study implemented integrated total interpretative structural modeling-FUZZY-Cross-impact matrix multiplication applied to classification (TISM-FUZZY-MICMAC) methods for identifying the interrelationship among the barriers. Findings A total of 15 barriers have been determined in the Indian health-care industry through discussion with the selected experts. TISM is applied to develop multilevel structure for BC barriers. Further, FUZZY-MICMAC has been used to compute driving and dependent barriers. The findings suggest that low awareness related to legal issues and low support from high level of management have maximum driving power. Research limitations/implications The present study applies multicriterion approach to identify the limited barriers in BC adoption in health care. Future studies may develop the relationship and mark down the steps for implementation of BC in health-care setting of a developing economy. Empirical study can be conducted to verify the results along with selected case studies. Practical implications The present study identifies the BC adoption barriers in health-care industry. The study examines the pertinent issues in context to major support required, bottlenecks in adoption, key benefits of adoption planning and activities. The technology adoption practices are expected to provide applications such as distributed, secured medical and clinical data and patient centric systems that will enhance the efficiency of the health-care industry. Originality/value The study is among few primary studies that identify and analyze the BC adoption in health-care industry.

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Section: Literature Reviewmentioning

confidence: 99%

“…integrated digital healthcare portfolio inclusive of drugs design, production and its supply chain (Bardy, 2019; Velthoven et al , 2019), health information technology and services and medical devices and sensors (Hogaboam and Daim, 2018);…”

Section: Literature Reviewmentioning

confidence: 99%

Barriers to blockchain adoption in health-care industry: an Indian perspective

Sharma

Joshi

2021

JGOSS

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“…However, and despite all these conditions, the measurement of physical activity remains a challenge in the treatment, rehabilitation, and health promotion of patients with chronic non-oncological pain [131]. Physical activity monitoring devices have the potential to help clinicians in multiple novel pain applications, such as surgeon support tools to provide personalized post-operative care [317].…”

Section: Future Trends and Conclusionmentioning

confidence: 99%

“…A greater research and development effort in health technologies is necessary, both in private and public assistance models, including rural areas and taking into account the vision and needs of the pain-affected patients [317]. There is a need for new systems and applications for chronic pain self-control, incorporating the needs and context of the user, which would allow improving accessibility to treatment, and reducing economic costs and waiting times [314].…”

Section: Future Trends and Conclusionmentioning

confidence: 99%

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

Naranjo-Hernández

Reina‐Tosina

Roa

2020

Sensors

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Non-oncologic chronic pain is a common high-morbidity impairment worldwide and acknowledged as a condition with significant incidence on quality of life. Pain intensity is largely perceived as a subjective experience, what makes challenging its objective measurement. However, the physiological traces of pain make possible its correlation with vital signs, such as heart rate variability, skin conductance, electromyogram, etc., or health performance metrics derived from daily activity monitoring or facial expressions, which can be acquired with diverse sensor technologies and multisensory approaches. As the assessment and management of pain are essential issues for a wide range of clinical disorders and treatments, this paper reviews different sensor-based approaches applied to the objective evaluation of non-oncological chronic pain. The space of available technologies and resources aimed at pain assessment represent a diversified set of alternatives that can be exploited to address the multidimensional nature of pain.

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“…As the reasons behind this state, one could name the lack of knowledge on potential risks of emerging technologies or a general lack of risk management skills in smaller companies (Henschel and Durst, 2016). As the direct and indirect costs of implementing new technologies in companies are high (Rammel, 2003; Daim et al , 2006; Lee et al , 2018; Hogaboam and Daim, 2018), the adoption should be based on a well-thought-out strategic decision that takes into account both the potential benefits and risks for the organization (Köhler and Som, 2014).…”

Section: Introductionmentioning

confidence: 99%

Knowledge risk prevention strategies for handling new technological innovations in small businesses

Temel

Durst

2020

VJIKMS

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Purpose The purpose of this conceptual paper is to name and categorize risks related to emerging technological innovations and to propose a number of countermeasures. The emphasis is placed on knowledge risks that are grouped under human, organizational and technological spheres and are presented from a small business perspective. Design/methodology/approach The presented paper takes into account the prior literature and the authors’ thoughts and experiences to identify potential knowledge risks and countermeasures. Findings Having a better overview of possible knowledge risks that may emerge in conjunction with the adoption and application of emerging technological innovations can help small businesses to better assess these new developments and their possible upsides and downsides. The proposed risks and countermeasures can also help policymakers as well as other organizations working for or together with smaller businesses to help them maintain and even increase their competitiveness. Practical implications Different implications are suggested for not only managers and employees in small businesses but also other stakeholders working for or with small businesses. Originality/value To the best of the authors’ knowledge, this paper is the first one that focuses on how small businesses can improve their decision-making regarding the adoption of new emerging technological innovation from a knowledge risk perspective.

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Technology adoption potential of medical devices: The case of wearable sensor products for pervasive care in neurosurgery and orthopedics

Cited by 29 publications

References 22 publications

Barriers to blockchain adoption in health-care industry: an Indian perspective

Barriers to blockchain adoption in health-care industry: an Indian perspective

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

Knowledge risk prevention strategies for handling new technological innovations in small businesses

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