Impact of IoT Adoption on Agility and Flexibility of Healthcare Organization

Chakraborty, Samyadip; Bhatt, Vaidik; Chakravorty, Tulika

doi:10.35940/ijitee.k2119.0981119

Cited by 29 publications

(22 citation statements)

References 28 publications

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“…It is the patients who along with the physicians through significant interaction and engagement, can convert the propositions into effective value outcomes. The empirical investigation theoretically reveals the importance of technology adoption (Sensor-based wearable IoT devices adoption) in the context of health care and states the finding that patient adoption of wearable health-care devices also improves health-care delivery; thus, thereby adding to the existing body of literature on IoT adoption in the health-care context (Chakraborty et al , 2019; Chakraborty and Bhatt, 2019). The investigation adds the consequents of IoT adoption in a health-care context, especially from the point of view of the patient and further adds to the literature on adoption of wearables and associated devices, where so far extant literature only highlighted the antecedents leading to adoption and hardly any consequences were empirically validated or discussed ((Papa et al , 2020b; Talukder et al , 2020).…”

Section: Discussionmentioning

confidence: 99%

“…It is critical to transfer patient data with IoT devices and mHealth apps to the provider for obtaining the best health-care services (Digital health ecosystems: A payer perspective | McKinsey, 2021). With the increment in the adoption of sensor-based IoT devices, more information about the patient can be transferred to the provider to produce the ongoing checking frameworks embedded with analytics (Bhatt et al , 2019; Chakraborty et al , 2019).…”

Section: Hypothesis Developmentmentioning

confidence: 99%

“…Adoption of these systems increased operational efficiency (Chakravorty et al , 2019). With the same pace during the era of industry 4.0 also, where all the devices are well connected and integrated, the health-care industry is again using such tools for enhancing flexibility and agility of service operations (Chakraborty et al , 2019). Sensor-enabled internet of things (IoT) devices have an immense capability of data integration and data transmission.…”

Section: Introductionmentioning

confidence: 99%

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Improving service engagement in healthcare through internet of things based healthcare systems

Bhatt

Chakraborty

2021

JSTPM

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Purpose The purpose of the study was to empirically validate the linkages between IoT adoption and how it overarched influenced the patient care service engagement. This contributes to the body of knowledge and helps hospital managers to understand the relationship and relevance of IoT adoption; otherwise healthcare sector are late movers towards technology adoption. This gives a nuanced framework towards establishing empirically validated framework which will motivate healthcare services providers to be motivated to adopt and implement IoT enabled care delivery. The physician patient interaction and alignment during decision making will foster positive word of mouth, superior care service and reduce extra overheads for healthcare providers without compromise or rather with increment in service delivery proposition. Design/methodology/approach The study theoretically and empirically describes that with the adoption of internet of things (IoT) devices in health care, better services can be provided to patients by using partial least square – structure equation modelling-based robust technique and explains the better understanding of the health-care process with the help of information pervasiveness, physician-patient orientation and improved patient and physician involvement in the decision-making process. Findings This study shows that wearable IoT device adoption in health-care service delivery opens new opportunities and disrupts the conventional and traditional way of health-care service delivery by empowering the patient to take part in decision-making and enhancing their engagement in health-care service delivery. Research limitations/implications The study might influence by generalizability. Perception-based cross-examination knowledge from the patient’s perspective. It is likely that patients who use these devices will grow accustomed to using them and become more capable of using them. Thus, time-series tests have not been used to catch enhanced skills. New patients’ experiences will be altered over time. Regardless, non-response bias and traditional process bias received excessive interest. Practical implications The study aims at unravelling how the adoption of IoT enabled practices and usage of IoT devices bolsters the available data points in the context of healthcare especially with respect to patient care delivery. The study conceptualizes and empirically validates how the usage of IoT interface enabled technology enables better patient treatment and caregiver participation. The study puts forth a nuanced understanding regarding how pervasively available ubiquitous care information fosters shared decision making. This study further emphasizes that importance of ensuring a reliable computing environment devoid of privacy and security risks. The study attempts at Emphasizing empirically how the enhanced information pervasiveness catapults the patient-provider interactions, through health data exchange. Highlighting the importance of search feature in cloud storage and recovery mechanisms. The study not only fulfills the overarching linkage between enhanced service engagement with IoT adoption, it provides a mental map and ready to refer framework for hospital and healthcare experts to refer to, which prescribes thar care providers must build new methods aimed at empowerment of patients to participate and take more inclusive role. This unique confluence between patients and physicians will unravel the sync; helping not only avoid costly decision errors, but also improve patient care delivery environment. Patients should be permitted to participate in decision-making,inspire patients to be participatory. Originality/value The study efforts to empirically investigate and discover the link between how wearable sensor-based IoT enhances health-care service engagement is underway. Using primary data this linkage validation allows the community and readers at large to gain a nuanced understanding of how superior interaction is enabled by a digital-health-care process with the help of IoT-enabled information pervasiveness, physician-patient orientation and empowered involvement.

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Section: Discussionmentioning

confidence: 99%

Section: Hypothesis Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improving service engagement in healthcare through internet of things based healthcare systems

Bhatt

Chakraborty

2021

JSTPM

Self Cite

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“…IoT-based systems with worldwide connections may gather, manage, and share healthcare-related information, such as treatment, diagnostics, recovery, inventories, and medicine [3]. Healthcare services based on the Internet of Things contain wireless terminals and broadband connections that allow mobility [4]. Wi-Fi, 3G/4G/5G, Bluetooth, an indexing scheme, and other data analysis systems are all examples of IoT-enabled devices that could be found in an IoT-enabled environment [5].…”

Section: Introductionmentioning

confidence: 99%

IOT Assisted Biomedical Monitoring Sensors for Healthcare in Human

Periyanayagi¹,

Nandini²,

Basarikodi³

et al. 2023

Computer Systems Science and Engineering

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The Internet of Things (IoT) is a concept that refers to the deployment of Internet Protocol (IP) address sensors in health care systems to monitor patients' health. It has the ability to access the Internet and collect data from sensors. Automated decisions are made after evaluating the information of illness people records. Patients' health and well-being can be monitored through IoT medical devices. It is possible to trace the origins of biological, medical equipment and processes. Human reliability is a major concern in user activity and fitness trackers in day-to-day activities. The fundamental challenge is to measure the efficiency of the human system accurately. Aim to maintain tabs on the well-being of humans; this paper recommends the use of wireless body area networks (WBANs) and artificial neural networks (ANN) to create an IoT-based healthcare framework for hospital information systems (IoT-HF-HIS). Our evaluation system uses a server to estimate how much computing power is needed for modeling, and simulations of the framework have been done using data rate and latency requirements are implementing the energy-aware technology presented in this paper. The proposed framework implements several hospital information system case studies by building a time-saving simulation environment. As the world's population ages, more and more people suffer from physical and emotional ailments. Using the recommended strategy regularly has been proven user-friendly, reliable, and cost-effective, with an overall performance of 95.2%.

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“…In today’s world, there has been a huge development in superior integrated services for smart home automation systems. With the rapid integration of the Internet of Things (IoT), the internet-enabled smart services are connected with the operation of controlled software and hardware components that communicate with each smart device to facilitate a high-tech lifestyle [ 1 ]. Due to the wide availability of the internet, intelligent devices are tremendously increased and reach 50 to 100 billion by the year 2020 [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Secure user authentication and key agreement scheme for IoT device access control based smart home communications

Uppuluri

Lakshmeeswari

2022

Wireless Netw

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The upcoming paradigm in Internet of Things (IoT) based applications is to afford effective interactional communication strategies between the devices in the smart home system. With the rapid growth of IoT services, the incorporation of security measures becomes a vital concern. The general issue faced in the security of the intercommunication between the devices and the users is improper authentication between them. Also, the access control of devices must be ensured with reliable features for establishing secure communication between the users and devices. Hence, we propose a protocol called Modified Honey Encryption using Inverse Sampling-Conditional Probability Model Transform (MHE-IS-CPMT) with Elliptic Curve Cryptography (ECC) to authenticate and perform the key agreement. Here, we employ the following steps: (1) Initialization, (2) Registration, (3) Login and data access Request, (4) Authentication and Session key agreement, and (5) Key update. At the commencement of the session, the users (u), Mobile Users (MU), and the other devices participating in the smart home system are initialized to the Home network head (H). Then, for the registration process, the user and the devices register them into H via the smart gateway (SG) by providing their own identities. The user details and the data about the devices are secured using the MHE-IS-CPMT with the ECC method. Next, during the login process, the registered users connect to the smart home system and send a request to SG to gain access to the devices. After verification, the user is authenticated and the system enables them to acquire the device access control by providing them with the private key of the device. In addition, the proposed system facilitates the secure key change procedure for the legitimate user to update their key whenever required. Hence, the performance of the model is secured against different types of attacks and also obtains more security features than existing methods.

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Impact of IoT Adoption on Agility and Flexibility of Healthcare Organization

Cited by 29 publications

References 28 publications

Improving service engagement in healthcare through internet of things based healthcare systems

Improving service engagement in healthcare through internet of things based healthcare systems

IOT Assisted Biomedical Monitoring Sensors for Healthcare in Human

Secure user authentication and key agreement scheme for IoT device access control based smart home communications

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