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Smolinska S, Popescu FD, Izquierdo E, Antolín-Amérigo D, Price OJ, Alvarez-Perea A, Eguíluz Gracia I, Papadopoulos NG, Pfaar O, Fassio F, Hoffmann-Sommergruber K, Dramburg S, Agache I, Jutel M, Brough HA, Fonseca JA, Angier E, Boccabella C, Bonini M, Dunn Galvin A, Gibson PG, Gawlik R, Hannachi F, Kalayci Ö, Klimek L, Knibb R, Matricardi P, Chivato T. Telemedicine with special focus on allergic diseases and asthma-Status 2022: An EAACI position paper. Allergy 2024; 79:777-792. [PMID: 38041429 DOI: 10.1111/all.15964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/31/2023] [Accepted: 11/08/2023] [Indexed: 12/03/2023]
Abstract
Efficacious, effective and efficient communication between healthcare professionals (HCP) and patients is essential to achieve a successful therapeutic alliance. Telemedicine (TM) has been used for decades but during the COVID-19 pandemic its use has become widespread. This position paper aims to describe the terminology and most important forms of TM among HCP and patients and review the existing studies on the uses of TM for asthma and allergy. Besides, the advantages and risks of TM are discussed, concluding that TM application reduces costs and time for both, HCP and patients, but cannot completely replace face-to-face visits for physical examinations and certain tests that are critical in asthma and allergy. From an ethical point of view, it is important to identify those involved in the TM process, ensure confidentiality and use communication channels that fully guarantee the security of the information. Unmet needs and directions for the future regarding implementation, data protection, privacy regulations, methodology and efficacy are described.
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Affiliation(s)
- Sylwia Smolinska
- Department of Clinical Immunology, Wroclaw Medical University, Wroclaw, Poland
| | - Florin-Dan Popescu
- Department of Allergology, Nicolae Malaxa Clinical Hospital, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Elena Izquierdo
- Department of Basic Medical Sciences, Facultad de Medicina, Institute of Applied Molecular Medicine Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA), Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Madrid, Spain
| | - Darío Antolín-Amérigo
- Servicio de Alergia, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
| | - Oliver J Price
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Alberto Alvarez-Perea
- Allergy Service, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Gregorio Marañón Health Research Institute, Madrid, Spain
| | - Ibon Eguíluz Gracia
- Allergy Department, Hospital Regional Universitario de Malaga and Allergy Research Group, Instituto de Investigacion Biomedica de Malaga (IBIMA-Plataforma BIONAND). RICORS "Inflammatory Diseases", Malaga, Spain
| | - Nikolaos G Papadopoulos
- Allergy Department, 2nd Pediatric Clinic, National Kapodistrian University of Athens, Athens, Greece
| | - Oliver Pfaar
- Department of Otorhinolaryngology, Head and Neck Surgery, Section of Rhinology and Allergy, University Hospital Marburg, Philipps-Universität Marburg, Marburg, Germany
| | | | | | - Stephanie Dramburg
- Department of Pediatric Respiratory Care, Immunology and Intensive Care Medicine, Charité Universitätsmedizin, Berlin, Germany
| | - Ioana Agache
- Allergy and Clinical Immunology at Transylvania University, Brasov, Romania
| | - Marek Jutel
- Department of Clinical Immunology, Wroclaw Medical University, Wroclaw, Poland
- "ALL-MED" Medical Research Institute, Wroclaw, Poland
| | - Helen A Brough
- Children's Allergy Service, Evelina Children's Hospital, Guy's and St. Thomas' Hospital, London, UK
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - João A Fonseca
- CINTESIS@RISE, MEDCIDS, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Elizabeth Angier
- Primary Care, Population Science and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cristina Boccabella
- Department of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Matteo Bonini
- Department of Cardiovascular and Thoracic Sciences, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Clinical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- National Heart and Lung Institute (NHLI), Imperial College London, London, UK
| | | | - Peter G Gibson
- John Hunter Hospital, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
| | - Radoslaw Gawlik
- Department of Internal Medicine, Allergology and Clinical Immunology, Medical University of Silesia, Katowice, Poland
| | - Farah Hannachi
- Immuno-Allergology Unit, Hospital Centre of Luxembourg, Luxembourg City, Luxembourg
| | - Ömer Kalayci
- Hacettepe University School of Medicine, Ankara, Turkey
| | - Ludger Klimek
- Center for Rhinology and Allergology, Wiesbaden, Germany
| | - Rebecca Knibb
- School of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK
| | - Paolo Matricardi
- Department of Pediatric Respiratory Care, Immunology and Intensive Care Medicine, Charité Universitätsmedizin, Berlin, Germany
| | - Tomás Chivato
- Department of Clinical Medical Sciences, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Madrid, Spain
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Ren JY, Lei YM, Lei BS, Peng YX, Pan XF, Ye HR, Cui XW. The feasibility and satisfaction study of 5G-based robotic teleultrasound diagnostic system in health check-ups. Front Public Health 2023; 11:1149964. [PMID: 37497023 PMCID: PMC10366591 DOI: 10.3389/fpubh.2023.1149964] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 04/10/2023] [Indexed: 07/28/2023] Open
Abstract
Objective Regular check-up with ultrasound in underserved rural and/or remote areas is hampered due to the limited availability of sonologists and ultrasound devices. This study aimed to assess the feasibility and satisfaction of health check-ups with a 5G-based robotic teleultrasound diagnostic system. Methods In this prospective study, sonologists from two hospitals manipulated the telerobotic ultrasound system to perform teleultrasound check-ups of the liver, gallbladder, pancreas, spleen, kidneys, bladder, prostate (male), uterus and ovaries (female) for the subjects. The feasibility and satisfaction of health check-ups with a 5G-based robotic teleultrasound diagnostic system were evaluated in terms of examination results, examination duration, and satisfaction questionnaire survey. Results A total of 546 subjects were included with the most frequently diagnosed being abdominal disorders (n = 343) and male reproductive illnesses (n = 97), of which fatty liver (n = 204) and prostatic calcification (n = 54) were the most. The median teleultrasound examination duration (interquartile range) for men and women was 9 (9-11) min and 9 (7-11) min (p = 0.236), respectively. All the subjects were satisfied with this new type of telerobotic ultrasound check-ups and 96% reported no fear of the robotic arm during the examination. Conclusion The 5G-based teleultrasound robotic diagnostic system in health check-ups is feasible and satisfactory, indicating that this teleultrasound robot system may have significant application value in underserved rural and/or remote areas to mitigate disparity in achieving health equity.
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Affiliation(s)
- Jia-Yu Ren
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu-Meng Lei
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Bing-Song Lei
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Yue-Xiang Peng
- Department of Ultrasound, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
| | - Xiao-Fang Pan
- Health Medical Department, Dalian Municipal Central Hospital, Dalian, China
| | - Hua-Rong Ye
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Xin-Wu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Li J, Jiao W, Yuan H, Feng W, Ding X, Yin X, Zhang L, Lv W, Ma L, Sun L, Feng R, Qin J, Zhang X, Gou C, Wang S, Yu Z, Wei B, Luo L, Xie F, Chang Y, Wang Y, Giulianotti PC, Dong Q, Niu H. Telerobot-assisted laparoscopic adrenalectomy: feasibility study. Br J Surg 2022; 110:6-9. [PMID: 35997257 DOI: 10.1093/bjs/znac279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 07/13/2022] [Accepted: 07/17/2022] [Indexed: 12/31/2022]
Affiliation(s)
- Jianmin Li
- Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China
| | - Wei Jiao
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hang Yuan
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wei Feng
- Department of Anaesthesiology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xuemei Ding
- Department of Surgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xulong Yin
- Department of Urology, Pingyi County Hospital of Traditional Chinese Medicine, Linyi, China
| | - Liangjun Zhang
- Department of Surgery, Zhucheng Hospital of Traditional Chinese Medicine, Zhucheng, China
| | - Wei Lv
- Department of Urology, Fei County People's Hospital, Linyi, China
| | - Lufei Ma
- Department of Urology, Juxian People's Hospital, Rizhao, China
| | - Liguo Sun
- Department of Urology, Juxian People's Hospital, Rizhao, China
| | - Run Feng
- Department of Urology, Zibo Municipal Hospital, Zibo, China
| | - Jun Qin
- Department of Urology, Yinan People's Hospital, Linyi, China
| | - Xuefeng Zhang
- Department of Urology, Weihai Central Hospital, Weihai, China
| | - Chengyi Gou
- Department of Urology, Dingxi People's Hospital, Dingxi, China
| | - Shuxin Wang
- Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China
| | - Zongyi Yu
- Department of Information Management, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Bin Wei
- Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lei Luo
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Fei Xie
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yuan Chang
- Shandong Development and Reform Commission, Jinan, China
| | - Yonghua Wang
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Pier C Giulianotti
- Department of Surgery, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Qian Dong
- Department of Paediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Haitao Niu
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
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Bocanegra-Becerra JE, Castillo-Huerta NM, Ludeña-Esquivel A, Torres-García ON, Vilca-Salas MI, Bermudez-Pelaez MF. The humanitarian aid of neurosurgical missions in Peru: A chronicle and future perspectives. Surg Neurol Int 2022; 13:545. [PMID: 36600741 PMCID: PMC9805600 DOI: 10.25259/sni_940_2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 10/29/2022] [Indexed: 11/27/2022] Open
Abstract
Background The unmet neurosurgical need has remained patent in developing countries, including Peru. However, continuous efforts to overcome the lack of affordable care have been achieved, being neurosurgical missions one of the main strategies. We chronicle the humanitarian labor of organizations from high-income countries during their visit to Peru, the contributions to local trainees' education, and the treatment of underserved patients. Furthermore, we discuss the embedded challenges from these missions and the future perspective on long-term partnerships and sustainability. Methods This is a narrative review. We searched the literature in PubMed and Google Scholar about neurosurgical missions conducted in Peru. Results Since 1962, twelve organizations from high-income countries have delivered humanitarian help in Peru by training local neurosurgeons, treating low-income patients, and providing surgical instrumentation. Out of the three main regions of Peru, cities on the coast and highlands have hosted most of these missions, with no reported outreach in the amazon area. About 75% of the organizations are headquartered in the United States, followed by Canada, Luxembourg, and Spain. In addition, 50% of the organizations have an active partnership. The predominant focus of these missions has been pediatrics, neuro-oncology, and spine surgery. Conclusion Neurosurgical missions have represented a strategy to close the disparity in education and treatment in Peru. However, additional efforts must be conducted to improve long-term partnership and sustainability, such as adopting standardized indicators for progress tracking, incorporating remote technologies for continuous training and communication, and expanding partnerships in less attended areas.
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Affiliation(s)
| | - Nicole M. Castillo-Huerta
- Corresponding author: Nicole M. Castillo-Huerta School of Medicine, Universidad Peruana Cayetano Heredia, San Martín de Porres, Lima, Peru.
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Zhang T, Chen Y, Jiang X, He C, Pan J, Zhou W, Hu J, Liao Z, Li Z. 5G-based remote magnetically controlled capsule endoscopy for examination of the stomach and small bowel. United European Gastroenterol J 2022; 11:42-50. [PMID: 36416805 PMCID: PMC9892422 DOI: 10.1002/ueg2.12339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 10/13/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND AIMS Remote endoscopy can improve diagnostic efficiency of gastrointestinal (GI) diseases for patients in remote areas. A novel remote magnetically controlled capsule endoscopy (MCE) system based on a 5G network was developed for real-time remote GI examinations. We aimed to evaluate the feasibility and safety of the 5G-based remote MCE for examination of the stomach and small bowel. METHODS This was a prospective, nonrandomized, comparative study. Consecutive participants enrolled in the First People's Hospital of Yinchuan underwent remote MCE examinations performed by an endoscopist located in Changhai Hospital. Consecutive participants enrolled in Changhai Hospital underwent conventional MCE examinations performed by the same endoscopist. The main outcomes included the complete visualization rate of the stomach and small bowel, safety assessment and network latency time of remote MCE examinations. RESULTS From March 2021 to June 2021, 20 participants in each group were enrolled. The complete visualization rate of the stomach and small bowel was 100% in both groups (p > 0.999) without any adverse event. The median network latency time of remote MCE group was 19.948 ms. Gastric examination time (8.96 vs. 8.92 min, p = 0.234), maneuverability (15.00 vs. 15.00, p = 0.317), image quality (1.00 vs. 1.00, p > 0.999) and diagnostic yields in the stomach and small bowel (55% vs. 30%, 5% vs. 0%, both p > 0.05) were comparable between remote and conventional MCE groups. All participants in remote MCE group considered remote MCE acceptable and necessary. CONCLUSIONS 5G-based remote MCE was a feasible and safe method for viewing the stomach and small bowel.
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Affiliation(s)
- Ting Zhang
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Yi‐Zhi Chen
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Xi Jiang
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Chen He
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Jun Pan
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Wei Zhou
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Jian‐Ping Hu
- Department of GastroenterologyThe First People's Hospital of YinchuanYinchuanNingxiaChina
| | - Zhuan Liao
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Zhao‐Shen Li
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
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Kuris EO, Anderson GM, Osorio C, Basques B, Alsoof D, Daniels AH. Development of a Robotic Spine Surgery Program: Rationale, Strategy, Challenges, and Monitoring of Outcomes After Implementation. J Bone Joint Surg Am 2022; 104:e83. [PMID: 36197328 DOI: 10.2106/jbjs.22.00022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Surgical robots were invented in the 1980s, and since then, robotic-assisted surgery has become commonplace. In the field of spine surgery, robotic assistance is utilized mainly to place pedicle screws, and multiple studies have demonstrated that robots can increase the accuracy of screw placement and reduce radiation exposure to the patient and the surgeon. However, this may be at the cost of longer operative times, complications, and the risk of errors in mapping the patient's anatomy.
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Affiliation(s)
- Eren O Kuris
- Department of Orthopedic Surgery, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - George M Anderson
- Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Camilo Osorio
- Department of Orthopedic Surgery, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Bryce Basques
- Department of Orthopedic Surgery, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Daniel Alsoof
- Department of Orthopedic Surgery, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Alan H Daniels
- Department of Orthopedic Surgery, Warren Alpert Medical School, Brown University, Providence, Rhode Island
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Smith BG, Tumpa S, Mantle O, Whiffin CJ, Mee H, Solla DJF, Paiva WS, Newcombe VF, Kolias AG, Hutchinson PJ. Remote Follow-Up Technologies in Traumatic Brain Injury: A Scoping Review. J Neurotrauma 2022; 39:1289-1317. [PMID: 35730115 PMCID: PMC9529313 DOI: 10.1089/neu.2022.0138] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Traumatic brain injury (TBI) remains a leading cause of death and disability worldwide. Motivations for outcome data collection in TBI are threefold: to improve patient outcomes, to facilitate research, and to provide the means and methods for wider injury surveillance. Such data play a pivotal role in population health, and ways to increase the reliability of data collection following TBI should be pursued. As a result, technology-aided follow-up of patients with neurotrauma is on the rise; there is, therefore, a need to describe how such technologies have been used. A scoping review was conducted and reported using the PRISMA extension (PRISMA-ScR). Five electronic databases (Embase, MEDLINE, Global Health, PsycInfo, and Scopus) were searched systematically using keywords derived from the concepts of "telemedicine," "TBI," "outcome assessment," and "patient-generated health data." Forty studies described follow-up technologies (FUTs) utilizing telephones (52.5%, n = 21), short message service (SMS; 10%, n = 4), smartphones (22.5%, n = 9), videoconferencing (10%, n = 4), digital assistants (2.5%, n = 1), and custom devices (2.5%, n = 1) among cohorts of patients with TBI of varying injury severity. Where reported, clinical facilitators, remote follow-up timing and intervals between sessions, synchronicity of follow-up instances, proxy involvement, outcome measures utilized, and technology evaluation efforts are described. FUTs can aid more temporally sensitive assessments and capture fluctuating sequelae, a benefit of particular relevance to TBI cohorts. However, the evidence base surrounding FUTs remains in its infancy, particularly with respect to large samples, low- and middle-income patient cohorts, and the validation of outcome measures for deployment via such remote technology.
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Affiliation(s)
- Brandon G. Smith
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, United Kingdom
- NIHR Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom
| | - Stasa Tumpa
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Orla Mantle
- GKT School of Medical Education, King's College London, London, United Kingdom
| | - Charlotte J. Whiffin
- NIHR Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom
- College of Health, Psychology and Social Care, University of Derby, Derby, United Kingdom
| | - Harry Mee
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, United Kingdom
- Division of Rehabilitation Medicine, Addenbrooke's Hospital and University of Cambridge, Cambridge, United Kingdom
| | - Davi J. Fontoura Solla
- NIHR Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom
- Division of Neurosurgery, Department of Neurology, University of São Paulo, São Paulo, Brazil
| | - Wellingson S. Paiva
- NIHR Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom
- Division of Neurosurgery, Department of Neurology, University of São Paulo, São Paulo, Brazil
| | | | - Angelos G. Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, United Kingdom
- NIHR Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom
| | - Peter J. Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, United Kingdom
- NIHR Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom
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Kovtun V, Grochla K. Investigation of the competitive nature of eMBB and mMTC 5G services in conditions of limited communication resource. Sci Rep 2022; 12:16050. [PMID: 36163351 PMCID: PMC9512914 DOI: 10.1038/s41598-022-20135-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 09/08/2022] [Indexed: 11/24/2022] Open
Abstract
The main contribution of the investigation is the Markov model of the process of resource allocation management between subscribers of eMBB and mMTC services within the 5G cluster. The proposed model, considers the organization of the channel resource in the format of resource blocks. The presented model allows to estimate the average duration of IoT sessions, the average number of active multimedia/IoT sessions, the average number of channel resource units occupied by multimedia/IoT traffic, the average number of resource blocks occupied by multimedia/IoT traffic. The metrics are generalized by three management schemes of the investigated process: balanced, competitive and perspective. The first and third schemes enable static/dynamic distribution of channel resources into reserved and common segments for subscribers of eMBB and mMTC services. The proposed model is illustrated with an example showing how to assess the availability and efficiency of channel resource use of the 5G cluster of the cyber-physical system of the Situation Center of the Department of Information Technology of Vinnytsia City Council (Vinnytsia, Ukraine). The article also shows how to use the proposed model to select the 5G network parameters to keep the probabilities of rejection of multimedia and IoT requests below a set threshold.
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Affiliation(s)
| | - Krzysztof Grochla
- Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, 44-100, Gliwice, Poland.
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Chai HH, Ye RZ, Xiong LF, Xu ZN, Chen X, Xu LJ, Hu X, Jiang LF, Peng CZ. Successful Use of a 5G-Based Robot-Assisted Remote Ultrasound System in a Care Center for Disabled Patients in Rural China. Front Public Health 2022; 10:915071. [PMID: 35923952 PMCID: PMC9339711 DOI: 10.3389/fpubh.2022.915071] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 06/22/2022] [Indexed: 12/07/2022] Open
Abstract
Background Disability has become a global population health challenge. Due to difficulties in self-care or independent living, patients with disability mainly live in community-based care centers or institutions for long-term care. Nonetheless, these settings often lack basic medical resources, such as ultrasonography. Thus, remote ultrasonic robot technology for clinical applications across wide regions is imperative. To date, few experiences of remote diagnostic systems in rural care centers have been reported. Objective To assess the feasibility of a fifth-generation cellular technology (5G)-based robot-assisted remote ultrasound system in a care center for disabled patients in rural China. Methods Patients underwent remote robot-assisted and bedside ultrasound examinations of the liver, gallbladder, spleen, and kidneys. We compared the diagnostic consistency and differences between the two modalities and evaluated the examination duration, image quality, and safety. Results Forty-nine patients were included (21 men; mean age: 61.0 ± 19.0 [range: 19–91] years). Thirty-nine and ten had positive and negative results, respectively; 67 lesions were detected. Comparing the methods, 41 and 8 patients had consistent and inconsistent diagnoses, respectively. The McNemar and kappa values were 0.727 and 0.601, respectively. The mean duration of remote and bedside examinations was 12.2 ± 4.5 (range: 5–26) min and 7.5 ± 1.8 (range: 5–13) min (p < 0.001), respectively. The median image score for original images on the patient side and transmitted images on the doctor side was 5 points (interquartile range: [IQR]: 4.7–5.0) and 4.7 points (IQR: 4.5–5.0) (p = 0.176), respectively. No obvious complications from the examination were reported. Conclusions A 5G-based robot-assisted remote ultrasound system is feasible and has comparable diagnostic efficiency to traditional bedside ultrasound. This system may provide a unique solution for basic ultrasound diagnostic services in primary healthcare settings.
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Affiliation(s)
- Hui-hui Chai
- Department of Medical Ultrasound, Shanghai Tenth People' Hospital, Tongji University School of Medicine, Shanghai, China
| | - Rui-zhong Ye
- Emergency and Critical Care Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
| | - Lin-fei Xiong
- Department of Engineering, BGI Life Science Research Institution, Shenzhen, China
| | - Zi-ning Xu
- Emergency and Critical Care Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
| | - Xuan Chen
- Department of Engineering, BGI Life Science Research Institution, Shenzhen, China
| | - Li-juan Xu
- Department of General Practice, Yuanshu Disabled Care Center, Huzhou, China
| | - Xin Hu
- Department of General Practice, Yuanshu Disabled Care Center, Huzhou, China
| | - Lian-feng Jiang
- Department of General Practice, Yuanshu Disabled Care Center, Huzhou, China
| | - Cheng-zhong Peng
- Department of Medical Ultrasound, Shanghai Tenth People' Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- *Correspondence: Cheng-zhong Peng
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Rangel I, Singh R, Zamanian C, Bydon M. Letter to the Editor Regarding "Fifth Generation Cellular Networks and Neurosurgery: A Narrative Review". World Neurosurg 2022; 161:207. [PMID: 35505526 DOI: 10.1016/j.wneu.2022.01.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 01/15/2022] [Indexed: 11/29/2022]
Affiliation(s)
- India Rangel
- Mayo Clinic Alix School of Medicine, Scottsdale, Arizona, USA
| | - Rohin Singh
- Mayo Clinic Alix School of Medicine, Scottsdale, Arizona, USA
| | - Cameron Zamanian
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA; Neuro-Informatics Laboratory, Mayo Clinic, Rochester, Minnesota, USA
| | - Mohamad Bydon
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA; Neuro-Informatics Laboratory, Mayo Clinic, Rochester, Minnesota, USA.
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