Analyzing the Mechanism of Intelligent Medical Care to Improve Doctor-patient Relationship under the Background of Big Data

With the rapid development and wide application of big data technology, smart healthcare, as a brand new form of healthcare, is gradually reshaping the traditional way of healthcare services. Through literature research and other studies, this paper aims to explore how smart healthcare can improve the doctor-patient relationship in the context of big data and analyze the mechanism of action behind it. To enhance the overall quality of healthcare and patient experience, the following recommendations are proposed. First, hospitals should invest in upgrading their intelligent infrastructure. By integrating advanced technologies, hospitals can significantly elevate the standard of care, ensuring a smoother, more efficient, and patient-centric medical experience. Second, efforts should be made to optimize the operation interfaces of intelligent healthcare tools. This involves streamlining complex processes, making them more intuitive and user - friendly. Such improvements will not only enhance the usability of these tools but also boost their operational efficiency, enabling healthcare providers and patients to access and utilize services more effectively. Finally, it is essential to strengthen the promotion and application of basic intelligent healthcare services, especially in primary healthcare settings. Additionally, targeted intelligent healthcare convenience services should be developed for vulnerable groups, such as disabled and elderly patients. These specialized services can help bridge the digital divide, ensuring that all patients, regardless of their physical condition or age, can enjoy the benefits of intelligent healthcare technology.

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Publication Details

Journal
Social Medicine and Health Management
Published
2025-01-01
DOI
https://doi.org/10.23977/socmhm.2025.060108
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Analyzing the Mechanism of Intelligent Medical Care to Improve Doctor-patient Relationship under the Background of Big Data

Social Medicine and Health Management
Healthcare Systems and Public Health
article

Analyzing the Mechanism of Intelligent Medical Care to Improve Doctor-patient Relationship under the Background of Big Data

article en

Abstract

With the rapid development and wide application of big data technology, smart healthcare, as a brand new form of healthcare, is gradually reshaping the traditional way of healthcare services. Through literature research and other studies, this paper aims to explore how smart healthcare can improve the doctor-patient relationship in the context of big data and analyze the mechanism of action behind it. To enhance the overall quality of healthcare and patient experience, the following recommendations are proposed. First, hospitals should invest in upgrading their intelligent infrastructure. By integrating advanced technologies, hospitals can significantly elevate the standard of care, ensuring a smoother, more efficient, and patient-centric medical experience. Second, efforts should be made to optimize the operation interfaces of intelligent healthcare tools. This involves streamlining complex processes, making them more intuitive and user - friendly. Such improvements will not only enhance the usability of these tools but also boost their operational efficiency, enabling healthcare providers and patients to access and utilize services more effectively. Finally, it is essential to strengthen the promotion and application of basic intelligent healthcare services, especially in primary healthcare settings. Additionally, targeted intelligent healthcare convenience services should be developed for vulnerable groups, such as disabled and elderly patients. These specialized services can help bridge the digital divide, ensuring that all patients, regardless of their physical condition or age, can enjoy the benefits of intelligent healthcare technology.

Social Medicine and Health ManagementVol. 6(1)
Guangxi Normal University (CN)
Openalex Percentile: Top 84%
Healthcare Systems and Public Health
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