Multimorbidity has become a major global public health challenge, and traditional single-disease management models are insufficient to address these complex health needs. Digital health technologies offer new opportunities for the management of multimorbidity. This review systematically examines the applications of digital intelligence in key domains of multimorbidity management, including risk identification and prediction, health management and patient empowerment, intelligent decision-making and intervention, as well as resource allocation and management optimization. The findings indicate that digital technologies are facilitating a shift in chronic disease management from a "single-disease orientation" toward "integrated multi-disease management", offering new paradigms for strengthening primary care-based prevention and treatment integration and precision health management. Looking forward, advancing digital health in multimorbidity care will require coordinated efforts in policy design, data security, technological adaptability, workforce development, and ethical governance to build a human-machine collaborative, sustainable and human-centered intelligent multimorbidity management system.
The rapid development of digital technologies such as the Internet of Things (IoT), big data, and artificial intelligence (AI) offers new opportunities for empowering the health management of the elderly in communities. However, the integrated effects, implementation barriers, and health benefits of these technologies require systematic evaluation.
This scoping review aims to systematically summarize the current research status of digital health management platforms in empowering the health management of the elderly in communities, providing a basis for future research, policy-making, and platform optimization.
This study followed the scoping review framework by Arksey & O'Malley, and established inclusion and exclusion criteria based on the PCC (Population-Concept-Context) model. Systematic searches were conducted in CNKI, Wanfang Data, PubMed, and Web of Science databases between May and June 2025 to identify literature related to digital-intelligent health management platforms empowering health services for community-dwelling older adults. The search period was set from June 1, 2015 to June 1, 2025.
A total of 50 relevant literature were retrieved and screened, including 13 Chinese and 37 English publications. The technical architecture of the included platforms generally follows the "perception layer-transmission layer-processing layer-application layer" model. The core functions focus on real-time health monitoring and early warning, multi-source data fusion and intelligent decision-making, personalized intervention, as well as collaborative integration of medical, nursing and care resources. Empirical studies show that it can effectively improve the health behaviors of the elderly, enhance the efficiency of chronic disease management, and optimize the speed of service response.
Digital-intelligent health management platforms demonstrate significant potential in empowering health services for community-dwelling older adults. However, current research is limited by a lack of high-quality empirical evidence. Future efforts should focus on conducting localized, multi-dimensional effectiveness studies in real-world settings.
In order to promote the change from process to result in the assessment and evaluation of National Essential Public Health Services, the group has theoretically constructed an "effect-oriented comprehensive evaluation index system of essential public health services", but the practical application of this index system is still insufficient.
In order to improve the pratical application of this indicator system, this study uses the index system to retrospectively evaluate the implementation effect of basic public health services in Shenzhen from 2017 to 2022.
From 2022 to 2023, indicator data were collected through the literature method and the correspondence method, and the comprehensive index method was used to calculate the comprehensive index of basic public health services in Shenzhen and the index of each dimension from 2017 to 2022.
Of the 54 indicators in the indicator system, 49 were collected, with a completion rate of 91.8%. From 2017 to 2022, the comprehensive index of essential public health services in Shenzhen increased from 46.62 to 51.37, and the investment index increased from 3.75 to 10.40, and the execution index increased from 11.23 to 19.36, and the effect index decreased from 31.65 to 21.61. Looking at the effectiveness indices of the sub-projects alone, there was a large increase in the effectiveness index of health education, from 0.067 in 2017 to 4.079 in 2022; the effectiveness index of health management of patients with chronic diseases decreased from 13.469 in 2017 to 3.571 in 2022, with a minimum of 3.223 (2021) and a maximum of 14.970 (2019), the lowest values of child health management, knowledge and satisfaction effectiveness index were 3.374 and 1.987 respectively, both occurring in 2019. The lowest value of maternal health management effect index was 4.052 in 2022.
The application of the effect-oriented basic public health comprehensive evaluation index system to evaluate the basic public health services at the municipal level has certain feasibility and scientificity, but some of the indicators reflecting the population's health risk factors and health status still have the problem of low availability. The information-based full-quantity appraisal can solve the problem of data misreporting and improve the efficiency of project supervision. However, with service coverage nearing saturation, its facilitating effect is limited. In the future, the essential public health services should aim to improve service quality and enhance the health benefits of the population, with a particular focus on awareness and satisfaction, to continually improve the sense of access for residents.
China's economy and health synergy has gradually come to the fore with development. The rural economy of Ningxia in the period 2015-2020 has maintained a rapid growth trend, and investment in primary health care organizations has been increasing. However, the effectiveness of such investment warrants further study, and few scholars have explored the coupling coordination between the health service sector and regional economic development.
To study the coupling coordination and spatial distribution of grassroots medical service capacity and regional economic development in Ningxia, and explore its driving forces.
By constructing an evaluation index system for grassroots medical service capacity and regional economic development in Ningxia, entropy method, coupled coordination model, geographic detector, etc. were used to study the coordination between the service capacity of 203 township health centers in 22 counties (districts) of Ningxia and regional economic development from 2015 to 2020.
The comprehensive evaluation index of regional economy in Ningxia was higher than the comprehensive evaluation index of grassroots medical service capacity. The coupling coordination degree of the two subsystems shows an upward trend in time series, and a gradually decreasing distribution pattern in spatial layout from south to north. Factors such as health resources and medical service volume have become important factors driving the coordinated development of the two systems, while regional economic factors are gradually weakening.
There is significant room for improvement in the coupling and coordination between the grassroots medical service capacity and regional economy in Ningxia, with significant regional differences. It is necessary to continuously improve the grassroots medical service capacity by increasing health investment and strengthening medical prevention integration. Focusing on the high-quality development of regional economy, we will gradually strengthen the level of grassroots medical services and promote the coordinated development of the two systems.
With the acceleration of population aging and the increasing complexity of healthcare service demands in China, hospitalized patients often suffer from diseases affecting multiple systems and organs. The traditional single-discipline treatment model can not meet patients' comprehensive healthcare needs. Interdisciplinary consultation, as a cross-disciplinary and multi-professional collaborative healthcare service model, plays an increasingly important role in improving the quality of diagnosis and treatment and integrating medical resources. However, systematic research on the current status of interdisciplinary consultation in general hospitals remains relatively scarce in China, and the actual operational conditions, existing problems, and improvement pathways of interdisciplinary consultation have not been comprehensively revealed.
To investigate the current status of interdisciplinary consultation in general hospitals and analyze clinical physicians' perspectives and evaluations of consultation services, thereby providing reference recommendations for continuing education training of clinical physicians and optimization of clinical consultation work by medical administration departments.
Clinical physicians from general hospitals who voluntarily participated in an online questionnaire survey were selected as subjects from August 14 to September 14, 2023. Based on literature analysis, a preliminary questionnaire was designed and then consulted with two senior clinical experts. Through six rounds of consultation-feedback-modification-consultation cycles, the "Survey on Current Status of Interdisciplinary Consultation in General Hospitals" questionnaire was finalized, including basic information of respondents, current status of interdisciplinary consultation, perspectives and evaluations of interdisciplinary consultation, and expectations for consultation improvement. The questionnaire was imported into "Questionnaire Star" platform, and after repeated testing, a link was generated and distributed to multiple national clinical physician WeChat communication groups.
A total of 281 questionnaires were collected, with 216 valid questionnaires confirmed (effective recovery rate 76.33%). The 216 clinical physicians had a mean age of (38.1±7.8) years, with 90.28% (195/216) from tertiary hospitals. Attending physicians constituted the majority by professional title, accounting for 39.35% (85/216). Regular consultations and urgent consultations were primarily undertaken by attending physicians, accounting for 71.30% (154/216) and 62.04% (134/216), respectively, though some hospitals had residents undertaking consultation work. Regular consultations completed within 24 hours accounted for 94.44% (204/216), while urgent consultations completed within 10 minutes were only 79.17% (171/216). The main advantages of interdisciplinary consultation included assisting in treatment plan formulation (90.28%, 195/216), providing opportunities for professional knowledge and opinion exchange (89.35%, 193/216), and assisting in diagnostic determination (86.11%, 186/216). The main disadvantages were concentrated in increasing treatment and waiting time (63.89%, 138/216) and untimely and inaccurate information transmission (61.11%, 132/216). Regarding evaluation of interdisciplinary consultation, the main reasons for dissatisfaction with consultation results were failure to provide specific treatment recommendations (76.39%, 165/216) and failure to provide valuable diagnostic information (73.15%, 158/216). The 216 clinical physicians generally expected consultation optimization and improvement in consultation processes, consultation quality and safety, consultation incentives, and strengthening hospital informatization construction.
Continuing education training for clinical physicians should be strengthened to enhance comprehensive diagnostic and treatment capabilities; humanities course training should be reinforced to improve consultation satisfaction; strict management of consultant physician qualifications should be implemented to ensure consultation quality; artificial intelligence should be introduced to strengthen management and ensure consultation timeliness; consultation processes should be optimized to enhance consultation efficiency.
The number of clinics in Beijing is growing rapidly, but clinics suffer from serious problems such as a lack of physicians, lower quality of service, and weak supervision.
To explore the clinic operation efficiency and its change trend in Beijing, and to provide reference for rational allocation of clinic medical resources.
In 2022, data envelopment analysis and Malmquist index model were used to estimate the static and dynamic efficiency of clinics in Beijing from 2013 to 2020. The input index selected the building area, the number of working staff and the total cost, and the output index selected the number of patients and total income.
From 2013 to 2020, the comprehensive technical efficiency and pure technical efficiency showed a fluctuation decreasing trend, while the scale efficiency showed a fluctuation increasing trend. The comprehensive technical efficiency of medical aesthetic clinic is the lowest (0.156), and the comprehensive technical efficiency of urban clinic is higher (0.194) than that of suburban clinic (0.165). Clinic efficiency improved from 2013 to 2015, but decreased from 2015 to 2020.
The overall efficiency of clinics in Beijing is not high, the technical efficiency is low, there is a certain shortage of clinic input resources, there is a certain difference in clinic efficiency of different categories and different regions. It is suggested to strengthen the training of clinic personnel and encourage doctors in large hospitals to set up clinics at the grassroots level, so as to improve the level of clinic diagnosis and treatment; strengthen the internal and external supervision capacity of clinics, and formulate more detailed supporting measures for the establishment of clinics.
With the intensification of population aging and the increasing demand for out-of-place medical treatment, as well as the pursuit of a high-quality life, "patient navigators" have attracted considerable attention.
This study aims to explore the public's emotional attitudes and concerns about "companion services" based on Weibo comment data using text mining techniques.
We searched Weibo (up to April 1, 2023) using keywords "companion services" "companion assistants" "companion staff" and collected comments. A "wordcloud" was created to analyze the frequency of keywords, the SnowNLP module was used to analyze the sentiment of the comments, and a Dirichlet distribution topic model was applied to identify latent topics in the comments.
A total of 2 376 comments were collected, with the public's average sentiment score towards "companion services" being 0.666 6. The topic model identified four latent topics: service recipients, remuneration for services, psychological healing, and future challenges.
The public's overall sentiment towards "companion services" exhibits a weakly positive attitude. Therefore, it is recommended to incorporate "companion services" into a new professional category and to transform nursing personnel into professional companions through training and certification measures to ensure the professionalism and standardization of "companion services".
