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Tagliaferri L, Fionda B, Casà C, Cornacchione P, Scalise S, Chiesa S, Marconi E, Dinapoli L, Di Capua B, Chieffo DPR, Marazzi F, Frascino V, Colloca GF, Valentini V, Miccichè F, Gambacorta MA. Allies not enemies-creating a more empathetic and uplifting patient experience through technology and art. Strahlenther Onkol 2025; 201:316-332. [PMID: 39259348 PMCID: PMC11839861 DOI: 10.1007/s00066-024-02279-7] [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: 01/28/2024] [Accepted: 07/07/2024] [Indexed: 09/13/2024]
Abstract
OBJECTIVE To understand whether art and technology (mainly conversational agents) may help oncology patients to experience a more humanized journey. METHODS This narrative review encompasses a comprehensive examination of the existing literature in this field by a multicenter, multidisciplinary, and multiprofessional team aiming to analyze the current developments and potential future directions of using art and technology for patient engagement. RESULTS We identified three major themes of patient engagement with art and three major themes of patient engagement with technologies. Two real-case scenarios are reported from our experience to practically envision how findings from the literature can be implemented in different contexts. CONCLUSION Art therapy and technologies can be ancillary supports for healthcare professionals but are not substitutive of their expertise and responsibilities. Such tools may help to convey a more empathetic and uplifting patient journey if properly integrated within clinical practice, whereby the humanistic touch of medicine remains pivotal.
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Affiliation(s)
- Luca Tagliaferri
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
- Dipartimento di Scienze Radiologiche ed Ematologiche, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Bruno Fionda
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Calogero Casà
- UOC di Radioterapia Oncologica, Ospedale Isola Tiberina-Gemelli Isola, Rome, Italy.
- Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Patrizia Cornacchione
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Sara Scalise
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Silvia Chiesa
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Elisa Marconi
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
- UOS di Psicologia Clinica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Loredana Dinapoli
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
- UOS di Psicologia Clinica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Beatrice Di Capua
- Centro di Eccellenza Oncologia Radioterapica e Medica e Radiologia, Ospedale Isola Tiberina-Gemelli Isola, Rome, Italy
| | - Daniela Pia Rosaria Chieffo
- UOS di Psicologia Clinica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Fabio Marazzi
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Vincenzo Frascino
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Giuseppe Ferdinando Colloca
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Vincenzo Valentini
- Centro di Eccellenza Oncologia Radioterapica e Medica e Radiologia, Ospedale Isola Tiberina-Gemelli Isola, Rome, Italy
| | - Francesco Miccichè
- UOC di Radioterapia Oncologica, Ospedale Isola Tiberina-Gemelli Isola, Rome, Italy
| | - Maria Antonietta Gambacorta
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
- Dipartimento di Scienze Radiologiche ed Ematologiche, Università Cattolica del Sacro Cuore, Rome, Italy
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Wang R, Zhang J, He S, Guo H, Li T, Zhong Q, Ma J, Xu J, He K. Design and application of a novel telemedicine system jointly driven by multinetwork integration and remote control: Practical experience from PLAGH, China. Healthc Technol Lett 2023; 10:113-121. [PMID: 38111799 PMCID: PMC10725722 DOI: 10.1049/htl2.12057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/15/2023] [Accepted: 11/22/2023] [Indexed: 12/20/2023] Open
Abstract
In China, several problems were common in the telemedicine systems, such as the poor network stability and difficult interconnection. A new telemedicine system jointly driven by multinetwork integration and remote control has been designed to address these problems. A multilink aggregation algorithm and an overlay network for telemedicine system (ONTMS) were developed to improve network stability, and a non-intervention remote control method was designed for Internet of Things (IoT) devices/systems. The authors monitored the network parameters, and distributed the questionnaire to participants, for evaluating the telemedicine system and services. Under a detection bandwidth of 8 Mbps, the aggregation parameters of Unicom 4G, Telecom 4G, and China Mobile 4G were optimal, with an uplink bandwidth, delay, and packet loss ratio (PLR) of 7.93 Mbps, 58.80 ms, and 0.06%, respectively. These parameters were significantly superior to those of China Mobile 4G, the best single network (p < 0.001). Through the ONTMS, the mean round-trip transporting delay from Beijing to Sanya was 76 ms, and the PLR was 0 at vast majority of time. A total of 1988 participants, including 1920 patients and 68 doctors, completed the questionnaires. More than 97% of participants felt that the audio and video transmission and remote control were fluent and convenient. 96% of patients rated the telemedicine services with scores of 4 or 5. This system has shown robust network property and excellent interaction ability, and satisfied the needs of patients and doctors.
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Affiliation(s)
- Ruiqing Wang
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Jie Zhang
- Medical Engineering DepartmentChinese PLA General HospitalBeijingChina
| | - Shilin He
- Information DepartmentHainan Hospital of Chinese PLA General HospitalBeijingChina
| | - Huayuan Guo
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Tao Li
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Qin Zhong
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Jun Ma
- Beijing HongYun RongTong Technology Co., LtdBeijingChina
| | - Jie Xu
- Beijing HongYun RongTong Technology Co., LtdBeijingChina
| | - Kunlun He
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
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