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The drivers of the digital transformation in the healthcare industry: An empirical analysis in Italian hospitals. TECHNOVATION 2023; 121. [PMCID: PMC9135505 DOI: 10.1016/j.technovation.2022.102558] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
In recent years, driven by the spread of the COVID-19 pandemic, digital transformation in the healthcare sector is becoming increasingly important. Digital healthcare technologies, if adopted in a targeted manner and implemented in a cost-effective way, make it possible to reduce healthcare inequalities, improve the quality of healthcare provided and increase the well-being of citizens. The importance of digital transformation in healthcare is also attracting interest from academics. However, at present, there are few studies aimed at examining the degree of digital transformation in healthcare and the drivers of the adoption and implementation of digital solutions by healthcare facilities. This study aims to fill this gap by analysing the level of digital transformation of Italian hospitals and the factors that can affect this level of digital transformation. The analysis, conducted on a sample of 103 hospitals, shows a positive and significant impact of the hospital size, hospital age and hospital teaching status on the level of digital transformation. Furthermore, in relation to hospital complexity, it shows a positive effect of the presence of the emergency room and a non-significant influence of the number of hospital departments on the level of digital transformation.
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Sony M, Antony J, McDermott O. The Impact of Healthcare 4.0 on the Healthcare Service Quality: A Systematic Literature Review. Hosp Top 2022; 101:288-304. [PMID: 35324390 DOI: 10.1080/00185868.2022.2048220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Healthcare 4.0 is inspired by Industry 4.0 and its application has resulted in a paradigmatic shift in the field of healthcare. However, the impact of this digital revolution in the healthcare system on healthcare service quality is not known. The purpose of this study is to examine the impact of healthcare 4.0 on healthcare service quality. This study used the systematic literature review methodology suggested by Transfield et al. to critically examine 67 articles. The impact of healthcare 4.0 is analyzed in-depth in terms of the interpersonal, technical, environmental, and administrative aspect of healthcare service quality. This study will be useful to hospitals and other stakeholders to understand the impact of healthcare 4.0 on the service quality of health systems. Besides, this study critically analyses the existing literature and identifies research areas in this field and hence will be beneficial to researchers. Though there are few literature reviews in healthcare 4.0, this is the first study to examine the impact of Healthcare 4.0 on healthcare service quality.
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Affiliation(s)
- Michael Sony
- WITS Business School, University of Witwatersrand, Johannesburg, South Africa
| | - Jiju Antony
- Industrial and Systems Engineering, Khalifa University, Abu Dhabi, UAE
| | - Olivia McDermott
- College of Engineering and Science, National University of Ireland, Gallway, Ireland
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Tortorella GL, Fogliatto FS, Espôsto KF, Mac Cawley AF, Vassolo R, Tlapa D, Narayanamurthy G. Healthcare costs’ reduction through the integration of Healthcare 4.0 technologies in developing economies. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2020. [DOI: 10.1080/14783363.2020.1861934] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Guilherme Luz Tortorella
- School of Engineering, University of Melbourne Faculty of Science, Victoria, Australia
- Universidade Federal de Santa Catarina, Florianopolis, Brazil
| | - Flavio Sanson Fogliatto
- Department of Industrial Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Alejandro Francisco Mac Cawley
- Pontificia Universidad Catolica de Chile, Industrial and Systems Engineering, Macul, Chile
- Pontificia Universidad Católica de Chile, Agricultural Economics, Santiago, Chile
| | | | - Diego Tlapa
- Universidad Autonoma de Baja California - Campus Ensenada, Ensenada, Mexico
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Low-Cost Distributed Acoustic Sensor Network for Real-Time Urban Sound Monitoring. ELECTRONICS 2020. [DOI: 10.3390/electronics9122119] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Continuous exposure to urban noise has been found to be one of the major threats to citizens’ health. In this regard, several organizations are devoting huge efforts to designing new in-field systems to identify the acoustic sources of these threats to protect those citizens at risk. Typically, these prototype systems are composed of expensive components that limit their large-scale deployment and thus reduce the scope of their measurements. This paper aims to present a highly scalable low-cost distributed infrastructure that features a ubiquitous acoustic sensor network to monitor urban sounds. It takes advantage of (1) low-cost microphones deployed in a redundant topology to improve their individual performance when identifying the sound source, (2) a deep-learning algorithm for sound recognition, (3) a distributed data-processing middleware to reach consensus on the sound identification, and (4) a custom planar antenna with an almost isotropic radiation pattern for the proper node communication. This enables practitioners to acoustically populate urban spaces and provide a reliable view of noises occurring in real time. The city of Barcelona (Spain) and the UrbanSound8K dataset have been selected to analytically validate the proposed approach. Results obtained in laboratory tests endorse the feasibility of this proposal.
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Kilintzis V, Chouvarda I, Beredimas N, Natsiavas P, Maglaveras N. Supporting integrated care with a flexible data management framework built upon Linked Data, HL7 FHIR and ontologies. J Biomed Inform 2019; 94:103179. [PMID: 31026596 DOI: 10.1016/j.jbi.2019.103179] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 04/04/2019] [Accepted: 04/15/2019] [Indexed: 11/27/2022]
Abstract
In this paper we present the methodology and decisions behind an implementation of a telehealth data management framework, aiming to support integrated care services for chronic and multimorbid patients. The framework leverages an OWL ontology, built upon HL7 FHIR resources, to provide storage and representation of semantically enriched EHR data following Linked Data principles. This is presented along with the realization of the persistent storage solution and communication web services that allow the management of EHR data, ensuring the validity and integrity of the exchanged patient data as self-describing ontology instances. The framework concentrates on flexibility and reusability, which is addressed by regarding the aforementioned ontology as a single point of change. This solution has been implemented in the scope of the EU project WELCOME for managing data in a telemonitoring system for patients with COPD and co-morbidities and was also successfully deployed for the INLIFE EU project with minimal effort. The results of the two applications suggest it can be adopted and properly adapted in a series of integrated care scenarios with minimal effort.
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Affiliation(s)
- Vassilis Kilintzis
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School of Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Ioanna Chouvarda
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School of Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Beredimas
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School of Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Pantelis Natsiavas
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School of Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nicos Maglaveras
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School of Aristotle University of Thessaloniki, Thessaloniki, Greece
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Redondo JP, González LP, Guzman JG, Boada BL, Díaz V. VEHIOT: Design and Evaluation of an IoT Architecture Based on Low-Cost Devices to Be Embedded in Production Vehicles. SENSORS 2018; 18:s18020486. [PMID: 29415507 PMCID: PMC5856091 DOI: 10.3390/s18020486] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Revised: 01/29/2018] [Accepted: 01/30/2018] [Indexed: 11/16/2022]
Abstract
Nowadays, the current vehicles are incorporating control systems in order to improve their stability and handling. These control systems need to know the vehicle dynamics through the variables (lateral acceleration, roll rate, roll angle, sideslip angle, etc.) that are obtained or estimated from sensors. For this goal, it is necessary to mount on vehicles not only low-cost sensors, but also low-cost embedded systems, which allow acquiring data from sensors and executing the developed algorithms to estimate and to control with novel higher speed computing. All these devices have to be integrated in an adequate architecture with enough performance in terms of accuracy, reliability and processing time. In this article, an architecture to carry out the estimation and control of vehicle dynamics has been developed. This architecture was designed considering the basic principles of IoT and integrates low-cost sensors and embedded hardware for orchestrating the experiments. A comparison of two different low-cost systems in terms of accuracy, acquisition time and reliability has been done. Both devices have been compared with the VBOX device from Racelogic, which has been used as the ground truth. The comparison has been made from tests carried out in a real vehicle. The lateral acceleration and roll rate have been analyzed in order to quantify the error of these devices.
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Affiliation(s)
- Jonatan Pajares Redondo
- Mechanical Engineering Department, Institute for Automotive Vehicle Safety (ISVA), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.
| | - Lisardo Prieto González
- Computer Science Department, Institute for Automotive Vehicle Safety (ISVA), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.
| | - Javier García Guzman
- Computer Science Department, Institute for Automotive Vehicle Safety (ISVA), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.
| | - Beatriz L Boada
- Mechanical Engineering Department, Institute for Automotive Vehicle Safety (ISVA), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.
| | - Vicente Díaz
- Mechanical Engineering Department, Institute for Automotive Vehicle Safety (ISVA), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.
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Khan S, Parkinson S, Qin Y. Fog computing security: a review of current applications and security solutions. JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS 2017. [DOI: 10.1186/s13677-017-0090-3] [Citation(s) in RCA: 182] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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