tetano
Editor, Senior Moderator
Am J Transl Res
. 2023 Jan 15;15(1):573-581.
eCollection 2023.
Value of internet of things-based diagnosis-treatment model in improving the quality of medical services during COVID-19 outbreak
Chenyu Wang[SUP] 1 [/SUP], Xi Chen[SUP] 1 [/SUP], Xueping Zhao[SUP] 1 [/SUP], Xiantao Huang[SUP] 1 [/SUP], Limin Pan[SUP] 1 [/SUP]
Affiliations
Abstract
Objective: To demonstrate the value of Internet of things (IoT)-based diagnosis-treatment model in improving medical service quality during the novel coronavirus pneumonia (COVID-19) outbreak.
Methods: In this retrospective analysis, 483 patients with chronic diseases treated between January 2020 and March 2021 were selected and grouped as follows based on different intervention methods: a research group (the Res group) with 229 patients that were given IoT-based diagnosis and treatment, and a control group (the Con group) with 254 patients that were treated with routine diagnosis and treatment. The qualified rate of medical records, the missing rate of medical records, and the incidence of doctor-patient disputes were compared between the two groups. In addition, investigations were made regarding patients' daily living ability, psychological state, health behavior, self-care ability, quality of life, as well as treatment satisfaction.
Results: There was no difference in the qualified rate of medical records between the Res group and the Con group (P>0.05), but the missing rate of medical records and the incidence of doctor-patient disputes were lower in the Res group (both P<0.05). An obviously improved living ability was observed in both groups after the treatment (both P<0.05), with no statistical significance between groups (P>0.05). Besides, the Res group presented lower scores of SAS and SDS but higher scores of SRAHP, ES-CA and SF-36 than the Con group after treatment (all P<0.05). Finally, according to the satisfaction survey, more patients in the Res group were very satisfied but fewer cases were dissatisfied with the medical service they received as compared with the Con group (both P<0.05).
Conclusions: The IoT-based diagnosis-treatment model can effectively improve the quality of medical services and patients' self-care ability, which is extremely important and promising for addressing the current medical limitations during the COVID-19 epidemic.
Keywords: Internet of things-based diagnosis and treatment; degree of satisfaction; living ability; medical service quality; self-care ability.
. 2023 Jan 15;15(1):573-581.
eCollection 2023.
Value of internet of things-based diagnosis-treatment model in improving the quality of medical services during COVID-19 outbreak
Chenyu Wang[SUP] 1 [/SUP], Xi Chen[SUP] 1 [/SUP], Xueping Zhao[SUP] 1 [/SUP], Xiantao Huang[SUP] 1 [/SUP], Limin Pan[SUP] 1 [/SUP]
Affiliations
- PMID: 36777865
- PMCID: PMC9908456
Abstract
Objective: To demonstrate the value of Internet of things (IoT)-based diagnosis-treatment model in improving medical service quality during the novel coronavirus pneumonia (COVID-19) outbreak.
Methods: In this retrospective analysis, 483 patients with chronic diseases treated between January 2020 and March 2021 were selected and grouped as follows based on different intervention methods: a research group (the Res group) with 229 patients that were given IoT-based diagnosis and treatment, and a control group (the Con group) with 254 patients that were treated with routine diagnosis and treatment. The qualified rate of medical records, the missing rate of medical records, and the incidence of doctor-patient disputes were compared between the two groups. In addition, investigations were made regarding patients' daily living ability, psychological state, health behavior, self-care ability, quality of life, as well as treatment satisfaction.
Results: There was no difference in the qualified rate of medical records between the Res group and the Con group (P>0.05), but the missing rate of medical records and the incidence of doctor-patient disputes were lower in the Res group (both P<0.05). An obviously improved living ability was observed in both groups after the treatment (both P<0.05), with no statistical significance between groups (P>0.05). Besides, the Res group presented lower scores of SAS and SDS but higher scores of SRAHP, ES-CA and SF-36 than the Con group after treatment (all P<0.05). Finally, according to the satisfaction survey, more patients in the Res group were very satisfied but fewer cases were dissatisfied with the medical service they received as compared with the Con group (both P<0.05).
Conclusions: The IoT-based diagnosis-treatment model can effectively improve the quality of medical services and patients' self-care ability, which is extremely important and promising for addressing the current medical limitations during the COVID-19 epidemic.
Keywords: Internet of things-based diagnosis and treatment; degree of satisfaction; living ability; medical service quality; self-care ability.