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344), perceived enjoyment (0.238), personal characteristics (0.118), perceived usefulness (0.054), and perceived ease of use (0.048).

In the acceptance model of the Mother and Child Health Information System in Ngawi Regency, perceived organizational support was the main determinant of actual system use, while enjoyment was the main intermediate determinant of the indirect effects of perceived organizational support and personal characteristics on actual system use.

In the acceptance model of the Mother and Child Health Information System in Ngawi Regency, perceived organizational support was the main determinant of actual system use, while enjoyment was the main intermediate determinant of the indirect effects of perceived organizational support and personal characteristics on actual system use.

Users share valuable information through online smoking cessation communities (OSCCs), which help people maintain and improve smoking cessation behavior. Although OSCC utilization is common among smokers, limitations exist in identifying the smoking status of OSCC users ("quit" vs. "not quit"). Thus, the current study implicitly analyzed user-generated content (UGC) to identify individual users' smoking status through advanced computational methods and real data from an OSCC.

Secondary data analysis was conducted using data from 3,833 users of BcomeAnEX.org. Domain experts reviewed posts and comments to determine the authors' smoking status when they wrote them. Seven types of feature sets were extracted from UGC (textual, Doc2Vec, social influence, domain-specific, author-based, and thread-based features, as well as adjacent posts).

Introducing novel features boosted smoking status recognition (quit vs. not quit) by 9.3% relative to the use of text-only post features. Furthermore, advanced computationadations in OSCCs. A major limitation is that only users' smoking status was detected. NSC 167409 clinical trial Future research might involve programming machine learning classification methods to identify abstinence duration using larger datasets.

Despite the popularization of technology and the high penetration rate of smartphones and mobile devices, differences exist in the accessibility, utilization capabilities, and quality of technology depending on users' characteristics. Since these discrepancies can threaten health information equity, popularization of medical information is essential. This review article examines domestic and international cases of popularization of medical information, and discusses the related issues, expectations, and practical measures to achieve the popularization of medical information.

In this study, medical information was categorized as Electronic Health Records/Electronic Medical Records (EHR/EMRs; hospital-driven medical information), personal health records (PHRs; user-driven medical information), and patient-generated health data (PGHD; user-generated medical information [outside hospitals]). This article reviewed the domestic and international use status, acceptance rates, and use cases for each type of medical information. Issues and expectations about policies and cases related to the popularization of medical information were also described, and finally, practical measures to accomplish the popularization of medical information were discussed.

To achieve the popularization of medical information, the following measures should be considered engaging health consumers to participate in the early stages of information production, cultivating digital literacy, producing easy-to-use and interesting medical content, visualizing health information, and creating a medical thesaurus.

Healthcare providers should make regular efforts to popularize medical information. The popularization of medical information is an essential process to achieve health equity and digital health equity.

Healthcare providers should make regular efforts to popularize medical information. The popularization of medical information is an essential process to achieve health equity and digital health equity.

This review article examines international examples of personal health records (PHRs) in advanced countries and discusses the implications of these examples for the establishment and utilization of PHRs in South Korea.

This article synthesized PHR case reports of Organization for Economic Co-operation and Development (OECD) member countries, the Global Digital Health Partnership website on PHRs, and patient portals of individual countries to review the status of PHR services. The concept and significance of PHRs were also discussed with respect to PHR utilization status in European Union and OECD countries.

A review of international PHR services showed that the countries shared common points regarding the establishment of Electronic Health Records and national health information infrastructure. In addition, the countries provided services centered on primary healthcare institutions and public hospitals. However, promoting more positive participation and increasing the PHR acceptance rate requires workflow integration, including Electronic Medical Records, the provision of incentives, and the preparation of a supportive legal framework.

South Korea is also conducting a national-level PHR project. Since the scope of PHRs is extensive and a wide range of PHR services must be connected, an extensive trial-and-error process will be necessary. A long-term strategy should be prepared, and necessary resources should be secured to establish national-level PHRs.

South Korea is also conducting a national-level PHR project. Since the scope of PHRs is extensive and a wide range of PHR services must be connected, an extensive trial-and-error process will be necessary. A long-term strategy should be prepared, and necessary resources should be secured to establish national-level PHRs.

Digital healthcare is expected to play a pivotal role in patient-centered healthcare. It empowers patients by informing, communicating, and motivating them. However, a pragmatic evaluation of the present status of digital healthcare has not been presented; therefore, we aimed to examine the status of digital healthcare in Korea.

This article discusses digital healthcare, examples of assessment in Korea and other countries, the implications of past examples, and future directions for development.

Over the years, various clinical studies have used clinical evidence to assess the feasibility of digital healthcare. If feasible, it is actually clinically effective. If it is effective, can it be commercialized at an acceptable cost? These questions have been investigated in various evidence-based studies. In addition, great efforts are being made to secure ample evidence to assess various aspects of digital healthcare, such as safety, quality, end-user experience, and equity.

Digital healthcare requires a deep understanding of both the technical and medical aspects.