Objective: To introduce the concept of user portrait for the construction of Internet hospital platform, and analyze the current situation of resource push of medical resource platform. Methods: The user portrait technology was used to build the framework through data collection, data analysis and modeling, combined with the accurate push of Internet hospital platform resources. Results: In this paper, a set of patient user portrait collection process, a user portrait construction process and a set of Internet hospital platform resource accurate push process are constructed. Conclusion: In this paper, a process plan is designed for user portrait models to establish a framework for accurate push of Internet platform resources. Use user portraits to help transform relevant data of the Internet hospital platform into effective recommendation information and provide patients with more accurate services.
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
With the improvement of residents' living standards and the intensification of population aging, the demand for health and medical services among residents is increasing day by day. At present, China still faces a shortage of health resources and is unable to provide personalized and precise services for patients
[1]
Zijun L. Research on health big data in the context of “Healthy China” based on CiteSpace knowledge graph [J]. Modern Chinese Doctor, 2023, 61(24): 62-67+73.
. The Internet medical platform refers to an online platform that uses the Internet and information technology to provide users with medical services and health management. Due to the low entry threshold of the platform, some users do not have the ability to accurately describe the patient's condition, and the vague description of the patient's condition brings trouble to the work of medical staff in remote medical treatment
[2]
Lv Y H, Wang K L, Zhong X Y, et al. Construction of the User Portrait Model of Internet Medical Platform Based on Text Mining [J]. Journal of Medical Informatics, 2024, 45(06): 7-12.
. In the era of big data, user portraits, as an important user analysis tool, can effectively use massive data to mine user characteristics, clarify the user's demand structure, and then provide patients with intelligent and personalized accurate services
[4]
Li X Y, Zhang N, Song M X, et al. The user persona of weight management among breast cancer patients during chemotherapy [J]. journal of nursing science, 2022, 37(18): 33-36.
Meng D Q. Construction of Mobile Resource Precise Push Service of Smart Libraries in Medical Universities and Colleges Based on User Portrait [J]. Journal of Medical Informatics, 2023, 44(10): 91-95.
. Based on the in-depth mining of the information generated by the interaction between patients and Internet hospital resources, the user portrait method is used to predict patients' interest preferences in medical resources, and the mined data is analyzed and pushed, which can realize more accurate resource recommendation of Internet hospital platform.
2. Methods
2.1. Literature Research Method
By reviewing and sorting out a large number of related literatures on the service satisfaction of Internet medical platform users, the specific research direction of this paper is determined. Research and sort out the relevant theoretical literature, and finally build the construction process of accurate push service of Internet hospital platform resources from the perspective of user portraits.
2.2. Comparative Analysis Method
Select a typical case: taking "user service-oriented university library user service model" as a reference and "research on accurate recommendation service for elderly users in online health community based on user portrait" as a basis, compare and integrate the two construction elements, summarize the core elements, and summarize the construction elements of accurate push service for Internet hospital platform resources from the perspective of user portrait for subsequent process construction and process application.
2.3. User Portrait Technology
In this paper, user portrait technology is used to obtain personal information, browsing data and medical data of users of Internet hospital platform. Combined with existing research literature, four dimensions that will affect user service are summarized, which provides a basis for the construction of accurate push service of Internet hospital platform resources.
3. Results
3.1. Data Acquisition
The continuous development of "Internet + Medical" has promoted the application of user portrait technology in the research of Internet medical platform
[6]
Subrahmanya S V G, Shetty D K, Patil V, et al. The role of data science in healthcare advancements: applications, benefits, and future prospects [J]. Irish journal of medical science, 2022, 191(4): 1473-1483.
Zhang Y F, Gao J C, Hong C. Research on user association data mining and group portrait classification of health anxiety in online medical community [J]. Information Science, 2024, 42(06): 121-131.
. Portrait technology plays an important role in predicting user behavior and discovering users' potential needs, and has always been an effective basis for management decision-making. The user portrait of a patient includes both static data and dynamic data. Static data is mainly the basic information of the user collected, such as name, age, gender, such data is fixed and will not change at any time. Static data is obtained from the patient registration information in the Internet applet system. Dynamic data is mainly the user's behavior information, such as browsing records, consultation records, medical records, access times, and such data will change with each behavior of the patient. The data source of user portrait is shown in Figure 1. The collection methods of patients' user portraits is shown in Table 1.
Table 1. The collection methods of patients' user portraits.
System name
Collect content
Collect method
Wechat official account Platform
User basic data, User behavior data, User interaction data, User session data
WeChat official account Platform backstage
WeChat mini program
User basic data, User behavior data, User interaction data, User session data
WeChat mini program backstage
3.2. User Portrait Design and Model Construction
The construction of user portrait model is mainly based on platform-related systems and the underlying data of the platform, and the data is integrated and analyzed
[8]
Li Q, Wang Y F, Shi J W, et al. The theory and practice of community health portraits from the perspective of general practitioners [J]. Chinese Journal of General Practice, 2021, 19(11): 1797-1801.
. Users' information is obtained from various systems and platforms of the Internet hospital platform, and data mining and preprocessing such as classification, association, clustering, integration and transformation are carried out, and repeated information is filtered to screen out the best quality data information, and then it is effectively integrated to form a high-precision user portrait modeling. Establish a label model for the processed data according to the type preference to form a standard label system
[9]
Rjha B, Cndc D, Rsm E, et al. Patient decision-making personas: an application of a patient-centered cognitive task analysis (P-CTA) [J]. Appl Ergon, 2020, 87: 103107.
. After constructing a single user portrait, according to the similarity, the single user portrait is grouped into a group user portrait. According to the output result of user portrait, the potential demand of users is analyzed and pushed. The construction process of user portrait model is shown in Figure 2.
Figure 3. The accurate push process of Internet Hospital Platform resources.
3.3. Accurate Push Process Construction
After data analysis of user portraits such as tagging, clustering and similarity calculation, the best content of resources is pushed to patients, and after repeated trial and error and label modification, the unified label of a single user or group of users is finally formed
[10]
Zhai S S, Hu P, Pan Y Z, et al. Research on scenario-based information recommendation in online medical community integrating knowledge graph and user disease portrait [J]. Information Science, 2021, 39(05): 97-105.
Yin X S, Li J R, Zhang Y Q, et al. "Internet + medical care" environment Research on the Influence Mechanism of User Behavior —— Based on the online medical platform for patients Analysis of users' first use behavior [J]. Price Theory and Practice, 2022 (6): 109-112, 194.
Li Y L, Zhang J W, Zhang J. Spiral and Linear: Interaction Patterns between User and Doctors on an Online Health Platform [J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(1): 88-100.
. After a period of automatic push, the actual and potential information needs of individual users and group users are analyzed in the background of the system, and combined with the statistical analysis of platform business data, data support is provided for Internet hospital platform resource recommendation service. The accurate push process of Internet Hospital Platform resources is shown in Figure 3.
4. Discussion
The introduction of user portraits enables the Internet hospital platform resource service to achieve the following effects. Accurate push: aggregate individual user portraits into group user portraits, accurately identify the differences in the needs of different user groups, and ensure that the content pushed to each user group is more in line with the needs. According to the user's browsing preferences, search habits, etc., and push them to the user's mobile terminal. According to the data such as the user's stay time on the page, whether the information is collected or not, track and evaluate whether the user is interested in this information, and feed it back to the system to correct the next push. Taking Zhuhai People's Hospital as an example, there are 40 departments in the hospital, and patients need personalized medical recommendation service when they enter the Internet hospital platform. However, the user portrait behavior preferences of patients in each clinical department are similar to a certain extent. Using these similarities, different resource recommendation service strategies can be formulated for different users to achieve accurate push of medical resources.
5. Conclusion
In this study, the user portrait model is designed to establish an accurate push framework for Internet platform resources. Use user portraits to help the relevant data of the Internet hospital platform transform into effective recommendation information, and provide more accurate services for patients. New technological changes such as big data and Internet bring new opportunities for platform service innovation and transformation, and at the same time provide technical support for achieving accurate services. Combined with the application of user portrait technology in medical service platform, it is helpful to improve the overall service level and efficiency and improve the user experience to continuously explore the accurate service of Internet medical platform from the perspective of user portrait.
Funding
2023 Zhuhai City Science and technology plan project of social development
Project Name: Research on User Portrait Construction and Resource Aggregation Model of Internet Hospital Platform
Project Number: 2320004000200
Project Leader: Zeng Ping
Conflicts of Interest
The author of this article declares no conflicts of interest.
References
[1]
Zijun L. Research on health big data in the context of “Healthy China” based on CiteSpace knowledge graph [J]. Modern Chinese Doctor, 2023, 61(24): 62-67+73.
Lv Y H, Wang K L, Zhong X Y, et al. Construction of the User Portrait Model of Internet Medical Platform Based on Text Mining [J]. Journal of Medical Informatics, 2024, 45(06): 7-12.
Li X Y, Zhang N, Song M X, et al. The user persona of weight management among breast cancer patients during chemotherapy [J]. journal of nursing science, 2022, 37(18): 33-36.
Meng D Q. Construction of Mobile Resource Precise Push Service of Smart Libraries in Medical Universities and Colleges Based on User Portrait [J]. Journal of Medical Informatics, 2023, 44(10): 91-95.
Subrahmanya S V G, Shetty D K, Patil V, et al. The role of data science in healthcare advancements: applications, benefits, and future prospects [J]. Irish journal of medical science, 2022, 191(4): 1473-1483.
Zhang Y F, Gao J C, Hong C. Research on user association data mining and group portrait classification of health anxiety in online medical community [J]. Information Science, 2024, 42(06): 121-131.
Li Q, Wang Y F, Shi J W, et al. The theory and practice of community health portraits from the perspective of general practitioners [J]. Chinese Journal of General Practice, 2021, 19(11): 1797-1801.
Zhai S S, Hu P, Pan Y Z, et al. Research on scenario-based information recommendation in online medical community integrating knowledge graph and user disease portrait [J]. Information Science, 2021, 39(05): 97-105.
Yin X S, Li J R, Zhang Y Q, et al. "Internet + medical care" environment Research on the Influence Mechanism of User Behavior —— Based on the online medical platform for patients Analysis of users' first use behavior [J]. Price Theory and Practice, 2022 (6): 109-112, 194.
Li Y L, Zhang J W, Zhang J. Spiral and Linear: Interaction Patterns between User and Doctors on an Online Health Platform [J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(1): 88-100.
Zeng, P., Ye, Q., Han, X., Zeng, H., Lin, X., et al. (2025). Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits. American Journal of Health Research, 13(2), 120-124. https://doi.org/10.11648/j.ajhr.20251302.15
Zeng, P.; Ye, Q.; Han, X.; Zeng, H.; Lin, X., et al. Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits. Am. J. Health Res.2025, 13(2), 120-124. doi: 10.11648/j.ajhr.20251302.15
Zeng P, Ye Q, Han X, Zeng H, Lin X, et al. Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits. Am J Health Res. 2025;13(2):120-124. doi: 10.11648/j.ajhr.20251302.15
@article{10.11648/j.ajhr.20251302.15,
author = {Ping Zeng and Qiao Ye and Xiaoling Han and Huajuan Zeng and Xiaofeng Lin and Ling Yan},
title = {Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits},
journal = {American Journal of Health Research},
volume = {13},
number = {2},
pages = {120-124},
doi = {10.11648/j.ajhr.20251302.15},
url = {https://doi.org/10.11648/j.ajhr.20251302.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20251302.15},
abstract = {Objective: To introduce the concept of user portrait for the construction of Internet hospital platform, and analyze the current situation of resource push of medical resource platform. Methods: The user portrait technology was used to build the framework through data collection, data analysis and modeling, combined with the accurate push of Internet hospital platform resources. Results: In this paper, a set of patient user portrait collection process, a user portrait construction process and a set of Internet hospital platform resource accurate push process are constructed. Conclusion: In this paper, a process plan is designed for user portrait models to establish a framework for accurate push of Internet platform resources. Use user portraits to help transform relevant data of the Internet hospital platform into effective recommendation information and provide patients with more accurate services.},
year = {2025}
}
TY - JOUR
T1 - Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits
AU - Ping Zeng
AU - Qiao Ye
AU - Xiaoling Han
AU - Huajuan Zeng
AU - Xiaofeng Lin
AU - Ling Yan
Y1 - 2025/03/18
PY - 2025
N1 - https://doi.org/10.11648/j.ajhr.20251302.15
DO - 10.11648/j.ajhr.20251302.15
T2 - American Journal of Health Research
JF - American Journal of Health Research
JO - American Journal of Health Research
SP - 120
EP - 124
PB - Science Publishing Group
SN - 2330-8796
UR - https://doi.org/10.11648/j.ajhr.20251302.15
AB - Objective: To introduce the concept of user portrait for the construction of Internet hospital platform, and analyze the current situation of resource push of medical resource platform. Methods: The user portrait technology was used to build the framework through data collection, data analysis and modeling, combined with the accurate push of Internet hospital platform resources. Results: In this paper, a set of patient user portrait collection process, a user portrait construction process and a set of Internet hospital platform resource accurate push process are constructed. Conclusion: In this paper, a process plan is designed for user portrait models to establish a framework for accurate push of Internet platform resources. Use user portraits to help transform relevant data of the Internet hospital platform into effective recommendation information and provide patients with more accurate services.
VL - 13
IS - 2
ER -
Zeng, P., Ye, Q., Han, X., Zeng, H., Lin, X., et al. (2025). Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits. American Journal of Health Research, 13(2), 120-124. https://doi.org/10.11648/j.ajhr.20251302.15
Zeng, P.; Ye, Q.; Han, X.; Zeng, H.; Lin, X., et al. Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits. Am. J. Health Res.2025, 13(2), 120-124. doi: 10.11648/j.ajhr.20251302.15
Zeng P, Ye Q, Han X, Zeng H, Lin X, et al. Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits. Am J Health Res. 2025;13(2):120-124. doi: 10.11648/j.ajhr.20251302.15
@article{10.11648/j.ajhr.20251302.15,
author = {Ping Zeng and Qiao Ye and Xiaoling Han and Huajuan Zeng and Xiaofeng Lin and Ling Yan},
title = {Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits},
journal = {American Journal of Health Research},
volume = {13},
number = {2},
pages = {120-124},
doi = {10.11648/j.ajhr.20251302.15},
url = {https://doi.org/10.11648/j.ajhr.20251302.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20251302.15},
abstract = {Objective: To introduce the concept of user portrait for the construction of Internet hospital platform, and analyze the current situation of resource push of medical resource platform. Methods: The user portrait technology was used to build the framework through data collection, data analysis and modeling, combined with the accurate push of Internet hospital platform resources. Results: In this paper, a set of patient user portrait collection process, a user portrait construction process and a set of Internet hospital platform resource accurate push process are constructed. Conclusion: In this paper, a process plan is designed for user portrait models to establish a framework for accurate push of Internet platform resources. Use user portraits to help transform relevant data of the Internet hospital platform into effective recommendation information and provide patients with more accurate services.},
year = {2025}
}
TY - JOUR
T1 - Construction of Precise Resource Push Service for Internet Hospital Platform Based on User Portraits
AU - Ping Zeng
AU - Qiao Ye
AU - Xiaoling Han
AU - Huajuan Zeng
AU - Xiaofeng Lin
AU - Ling Yan
Y1 - 2025/03/18
PY - 2025
N1 - https://doi.org/10.11648/j.ajhr.20251302.15
DO - 10.11648/j.ajhr.20251302.15
T2 - American Journal of Health Research
JF - American Journal of Health Research
JO - American Journal of Health Research
SP - 120
EP - 124
PB - Science Publishing Group
SN - 2330-8796
UR - https://doi.org/10.11648/j.ajhr.20251302.15
AB - Objective: To introduce the concept of user portrait for the construction of Internet hospital platform, and analyze the current situation of resource push of medical resource platform. Methods: The user portrait technology was used to build the framework through data collection, data analysis and modeling, combined with the accurate push of Internet hospital platform resources. Results: In this paper, a set of patient user portrait collection process, a user portrait construction process and a set of Internet hospital platform resource accurate push process are constructed. Conclusion: In this paper, a process plan is designed for user portrait models to establish a framework for accurate push of Internet platform resources. Use user portraits to help transform relevant data of the Internet hospital platform into effective recommendation information and provide patients with more accurate services.
VL - 13
IS - 2
ER -
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