An automated picking workstation for healthcare applications

Piccinini, Paolo; Gamberini, Rita; Prati, Andrea; Rimini, Bianca; Cucchiara, Rita

doi:10.1016/j.cie.2012.11.004

Cited by 13 publications

(7 citation statements)

References 27 publications

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“…[31] surveyed hospitals in US and substantiated using Theory of Swift Even flow (TSEF), the finding that adoption of IT results in improved revenue. [96] reported reduced costs associated with management of healthcare due to centralization of healthcare service using IT. [59] reported reduced flexibility as an undesired outcome of technology adoption in healthcare service delivery.…”

Section: It In Healthcare and Its Adoptionmentioning

confidence: 99%

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Dhagarra

Goswami

Kumar

2020

International Journal of Medical Informatics

247

126

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Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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Section: It In Healthcare and Its Adoptionmentioning

confidence: 99%

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Dhagarra

Goswami

Kumar

2020

International Journal of Medical Informatics

247

126

View full text Add to dashboard Cite

show abstract

“…For example, positive outcomes such as reduced healthcare costs both to service provider(s) and customers were reported by Li and Benton (2006) and increased 1615 Big Data and blockchain service satisfaction by Queenana et al (2011). The centralization of healthcare service and IT can provide solution in terms of reduced cost associated with the management of healthcare (Piccinini et al, 2013). On the other hand, reduced flexibility as an undesired byproduct of reporting was reported by Lahiri and Seidmann (2012).…”

Section: Information Technology In Healthcarementioning

confidence: 99%

Big Data and blockchain supported conceptual model for enhanced healthcare coverage

Dhagarra

Goswami

Sarma

et al. 2019

Business Process Mgmt Journal

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Purpose -Significant advances have been made in the field of healthcare service delivery across the world; however, health coverage particular for the poor and disadvantaged still remains a distant dream in developing world. In large developing countries like India, disparities in access to healthcare are pervasive. Despite recent progress in ensuring improved access to health care in past decade or so, disparities across gender, geography and socioeconomic status continue to persist. Fragmented and scattered health records and lack of integration are some of the primary causes leading to uneven healthcare service delivery. The devised framework is intended to address these challenges. The paper aims to discuss these issues. Design/methodology/approach -In view of such challenges, in this research a Big Data and blockchain anchored integrative healthcare framework is proposed focusing upon providing timely and appropriate healthcare services to every citizen of the country. The framework uses unique identification number (UID) system as formalized and implemented by the Government of India for identification of the patients, their specific case histories and so forth. Findings -The key characteristic of our proposed framework is that it provides easy access to secure, immutable and comprehensive medical records of patients across all treatment centers within the country. The model also ensures security and privacy of the medical records based upon the incorporation of biometric authentication by the patients for access of their records to healthcare providers. Originality/value -A key component of our evolved framework is the Big Data analytics-based framework that seeks to provide structured health data to concerned stakeholders in healthcare services. The model entails all pertinent stakeholders starting from patients to healthcare service providers.

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“…• 'The reduction of unnecessary processes can reduce the workload of the picker by applying the IoT-based technology in the receiving process instead of a manual paper record of the inventory' (Lee et al, 2018) • 'Automated picking and picking robot systems use machines for order picking and are preferred for the picking of small, valuable, and delicate items' (Piccinini et al, 2013) • 'Handling of raw materials (input of the production line) and manufactured outputs on the shop floor (…) can be supported by the use of robotic sensing technologies, including Automatic-Guided-Vehicles (AGVs) and Autonomous Mobile Robots (AMR)' (Meindl et al, 2021) • 'Robotics and autonomous vehicles will impact the internal and external manufacturing transport by increasing its degree of autonomy and sharing' (Kusiak, 2018) 5 • 'Analytics enables advanced predictive capacity, identifying events that can affect production before it happens' (Frank et al, 2019a) • 'Nanosensors can be applied to detect the environmental and quality changes in storage and distribution processes' (Bowles & Lu, 2014) • 'Technologies applied to integrity control (e.g., sensors, big data analytics, decentralized agent-driven control) can ensure the right products, at the right time, place, quantity, and condition' (Meindl et al, 2021) 7 Operational scheduling support Digital technologies support in dynamic planning and control activities for the continuous adaption of operations and processes to operational challenges by analyzing (real-time) data and by optimizing resource allocation and utilization -Dynamic coordination -Fleet optimization -Route optimization…”

Section: Resultsmentioning

confidence: 99%

Leveraging Digital Technologies in Logistics 4.0: Insights on Affordances from Intralogistics Processes

et al. 2023

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Emerging digital technologies are transforming logistics processes on a large scale. Despite a growing body of knowledge on individual use cases ranging from collaborative robots to platform-based planning systems in the frontline industrial development of Logistics 4.0, organizations lack a systematic understanding of the opportunities digital technologies afford for logistics processes. To foster such understanding, this study takes an intra-organizational perspective as a central starting point for digitalization initiatives toward Logistics 4.0. It synthesizes current academic research and industrial insights from a systematic literature review and an expert interview study through an affordance lens. The result is a catalog and conceptual framework of ten digital technology affordances in intralogistics (DTAILs) and 46 practical manifestations. Thereby, this study contributes to understanding and leveraging the opportunities digital technologies afford in a leading-edge information systems application domain. It serves as a foundation for further theorizing on Logistics 4.0 and for structuring strategic discussions among organizational stakeholders.

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An automated picking workstation for healthcare applications

Cited by 13 publications

References 27 publications

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Big Data and blockchain supported conceptual model for enhanced healthcare coverage

Leveraging Digital Technologies in Logistics 4.0: Insights on Affordances from Intralogistics Processes

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