Effects of Medical O2O Platform Quality Components on Continuous Use Intention to Information Distribution

Abstract

Purpose: The digital healthcare business is rapidly growing due to the COVID-19 pandemic, and the medical service platform business based on smartphone apps is globally expanding. This study targeted medical information online to offline (O2O) platform users in the medical service field. It verified the effect relationship revealed in the continuous use intention of the platform with the mediation of platform quality components, namely perceived benefits, flow experience, and use satisfaction. Research design, data and methodology: Based on previous studies, three medical information O2O platform quality components, namely system quality, information quality, and service quality, were defined. And the questionnaire survey was carried out targeting 359 leading medical information O2O platform users in Korea. Results: As a result of the analysis, it was confirmed that system quality and service quality had a positive (+) effect on satisfaction and continuous use intention with the mediation of perceived benefits and flow experience. Meanwhile, information quality had a negative effect (-) on perceived benefits and flow experience and did not affect use satisfaction and continuous use intention. Conclusions: Consequently, it was ascertained that the system quality and service quality affecting user behavior and experience were more significant factors than information quality to medical information O2O platform users from the medical service aspect.

1. Introduction

As the on-offline boundary is being collapsed due to the spread of new Information and Communication Technologies (ICT) convergence technologies, the size of the online to offline (O2O) service market providing new services linked with online and offline is rapidly growing (He et al., 2021; Lee & Yang, 2017). The O2O service is applied to various fields such as large-scale discount marts, accommodation, delivery, and transportation, rather than to a specific field, and it offers practical conveniences to consumers. The service has a characteristic where it can immediately identify and respond to customer use satisfaction (Shen et al., 2019; Xiao et al., 2019). Therefore, an era in which goods, assets, and services can be used freely at the user’s desirable time, mode, and place through the Internet or mobile has arrived. Significantly, the O2O service has expanded and developed globally since the COVID-19 pandemic, obtaining technical conveniences, including convenient payment, position (location)-based service, context-based service, and quick delivery system (Gu et al., 2019; Kang et al., 2021).

The global O2O platform market size is projected to grow to USD 335.0 billion in 2025 (Ram, 2020). Consequently, each country in the world is laying the foundation of a legal system to diffuse O2O service and is fostering the O2O service as a national new growth engine (Wan et al., 2020). In the USA, Uber and Car Pool apps are being legalized, so entry barriers are initiatively being removed. A goods trade and distribution innovation policy through online and offline linkage was announced in China unprecedentedly. EU is active in abolishing regulations to vigorously use the O2O service in the consumer protection and employment policy direction (Xiao et al., 2019). In Korea, the O2O service business transaction amount in 2020 was KRW 126 trillion, up 29.6%, compared to KRW 97 trillion in 2019, and is continuously growing based on the government’s support to foster the service (Kang et al., 2021).

The platform-centered information technology is changing the healthcare industry paradigm. A digital health platform means infrastructure offering an environment to collect and use data required for digital healthcare. It is discerned from the personal health record platform handling all health information, such as personal lifelog, medical treatment information, and genome information (Pan et al., 2017). The mobile healthcare industry based on the digital health platform can be understood as a fused field between the existing medical and health business and the IT industry, such as smart mobile devices and applications, cloud computing, and big data (Chi et al., 2016). A leading digital health platform, “Google Fit,” supports users to inquire about results or analyze data by storing and managing health measurement information generated from various devices. Apple released a digital health platform, “HealthKit,” and Apple combined it with health information and other institutions’ medical services. Apple also subsequently released “ResearchKit” and “CareKit” and is building an ecosystem for clinical research and patient healthcare (Huh & Kim, 2019).

Moreover, personal health record- (PHR) and treatment record-based medical data information use and service platforms within the medical system are spreading amid the COVID-19 situation. The PHR platform means a platform offering an environment in which medical records and personal genome information can be comprehensively collected and managed in addition to the information collected from the digital health platform mentioned above (Zhao, 2020). As a typical example, Microsoft’s “HealthVault” is a PHR integration management service in the USA, and it offers an environment where each user’s treatment record can be integrated and managed. Life Semantics’ “LifeRecord” was released as an open platform in which free linkage with a Third Party, a PHR collection and analysis platform, is possible.

In Korea, the National Health Insurance Service (NHIS) operates a PHR platform by which the personal health information that the NHIS has, including health examination information and health questionnaire, can be checked, and one’s health data can be registered through My Health Bank (Park & Park, 2016). Such startups as ‘Ttok Ttak’ and ‘Gooddoc’ provide mobile-integrated healthcare services, such as an appointment with a doctor or a pharmacist, contactless treatment service, and various medical confirmation document issuing services beyond personal health information management. Recently, personal medical information platform services have been evolving into an intelligent medical service platform that maximizes the use of devices and infrastructure by applying prediction and analysis techniques. A trend of expanding into diversities of personal medical services through linkage with SNS channels, such as Facebook and chatbot, is being demonstrated (Byeon, 2020).

In such an environment, invigorating the personal medical information service is connected to service satisfaction and continuity discussions. When looking at existing previous studies, the relevant studies, including service quality and use intention, have been carried out, as the digital O2O platform service has been diffused within various industries, including food and beverage, restaurant, and real estate (Cachon et al., 2017; Tang et al., 2018; Selvaraj & Sundaravaradhan, 2020). However, most studies are related to healthcare, fitness, or bio information management in the medical platform (Kim et al., 2022; Lin et al., 2021; Gao & Su, 2017). Moreover, studies on consumption behaviors, service quality, and satisfaction with the medical information O2O platform handling personal medical information-based appointments with a doctor, information management, authentication (or certification), and document issuance are insufficient (Kim et al., 2021). At a time when medical settings are being shifted into digital healthcare to invigorate the medical information-based O2O platform service in the medical service industry, it is vital to identify user-desirable quality factors accurately (Du & Tang, 2014), prevent customer secession, enhance customer satisfaction, and promote continuous use intention (Lee et al., 2021).

This study investigated service quality characteristics centered on medical information offering an app, one of the medical O2O services, which examined the causal relationship between continuous use intention and the mediation of consumer-perceived benefits, flow experience, and service satisfaction. This study offers the medical information O2O platform service market development a direction, which has been rapidly growing since the COVID-19 pandemic and provides implications for firms’ service consolidation measures.

2. Theoretical Background

2.1. Medical Service and O2O Platform

O2O platform is defined as a business model making value creation possible through the connection between sellers and buyers from a business model perspective (Tsai et al., 2013). It is a business model making a new value and rendering its exchange possible by connecting people, organizations, and resources in the interaction ecosystem using ICT. O2O platform aims to attract customers online based on the ICT technology and then induce them offline (Giao et al., 2019). Therefore, the O2O platform has a function to create a new value for the market and a catalyst function so that value exchange can be actively performed (Evans & Schmalesee, 2008). O2O platform is a two-sided platform classified as a software program, e-commerce platform, payment and banking platform, and participatory network platform depending on the value and function offered to consumers (Van Alstyne et al., 2016).

The current medical industry is changing into an ecosystem centered on predictable disease prevention and healthcare using big data. Attention to digital healthcare has increased because digital technology has rapidly evolved since the Fourth Industrial Revolution (Rožman et al., 2019). Digital healthcare is a field covering all ranges of healthcare that is fused with IT technology, including u-health, sHealth, and mHealth, with it being used in diverse stages such as prevention, diagnosis, management, and treatment (Jadczyk et al., 2019). Due to IT technology innovation, the medical paradigm shifts into customized medical service, precision medicine, and prevention and management. In the healthcare 3.0 era, expanding the goals of leading a healthy life by preventing and managing beyond disease treatment is arriving (Fei & Li, 2019).

Medical digitalization strengthens the customer service system, including treatment stability, service quality improvement, reduction of waiting time, easy accessibility, and cost savings (Li et al., 2012). As the medical information O2O platform, centered on a smartphone, is being consolidated, general consumers can easily use context-based customized services through the app, including medical institution search, waiting for situations, and medical appointment with a doctor. In the past, consumers made an appointment with a doctor and went to the medical institution on time, but now they can select a medical institution suitable for their location and time and receive treatment by checking even the order of appointment.

Contactless treatment services are popularized globally due to the COVID-19 pandemic, so various relevant platform businesses are emerging. With all these factors, medical services can be received: symptoms are recorded using a contactless treatment service platform; a doctor performs treatment in a contactless way; prescriptions are downloaded through an app; and drugs are received through a courier service from a pharmacy nearby. In Korea, contactless treatment is being invigorated to the extent that 2.19 million cases of contactless treatment were performed in 2021, and the cumulative treatment cases reached 3.82 million by February 2022. Consequently, contactless treatment is becoming universal (Lee et al., 2022).

When looking at the relevant previous studies, there are numerous studies on remote treatment and digital healthcare platform construction, including a study by Wu et al. (2020), Hermes et al. (2020) introduced an intelligent medical platform, and Song et al. (2020) stressed the importance of using the method of PHR data for intelligent medical platform invigoration. Zhang and Wang (2021) introduced a medical information management platform example using blockchain. Recently, digital healthcare platforms based on personal health information have been emphasized. As Satti et al. (2020) asserted, integrated medical information collected from private and public areas is necessary to fortify the medical information platform. Therefore, the need to construct a platform that can handle various types of digital health information, including medical treatment records and personal genome information, is emphasized (Bricon-Souf et al., 2005; D’Souza et al., 2020; Torkkeli & Tuominen, 2002).

If the PHR platform is invigorated, integrated storage management from self-measured data through home medical devices and treatment records to data collected from wearable devices in one place becomes possible, so remote monitoring of hospital-discharged patients and self-management become easier. Consequently, studies on consumers’ use patterns of platform service are being introduced (Chung & Park, 2016). Kim and Chung (2018) stressed the importance of personal medical data utilization in the platform economy era. Yang et al. (2017) explained that the remote medical platform service characteristic factors affect the intention of service users with the mediation of expected benefits. Jung & Chung (2016) introduced the continuous use intention of the O2O platform.

2.2. O2O Platform Quality Components

When looking at existing studies on O2O platform quality, Kim et al. (2021) explained that platform service quality positively affects customer satisfaction and loyalty. Kang and Namkung (2019) presented study results on O2O service quality perception’s effect on post-purchase behavior intention. Lee and Yang (2017) defined restaurant O2O platform quality and insisted that quality factors affect perceived value, customer satisfaction, and continuous use intention. Likewise, the O2O platform quality factors affect the use behaviors and cognition of the platform users, so consideration of the quality factors for platform invigoration is required.

The IS success model of DeLone and McLean (1992) reported that achievement of the information system is derived from system development goals and constructed a measurement model by classifying system quality, information quality, use, use satisfaction, personal effect, and organizational effect (Choi & Choi, 2019). Since then, Yang et al. (2021) presented a revised model by adding service quality based on the initial stage system model and applied the quality level to the changing e-commerce environment (Wu & Chien, 2021). Moon and Armstrong (2020) emphasized information quality, along with the digital healthcare service app quality. Lee et al. (2021) defined the effects on service use satisfaction and use intention as digital medical service quality factors; specifically, they are system quality, information quality, service quality, and relationship quality. Wang et al. (2021) presented quality components as information quality, system quality, and service quality. Based on the previous studies, this study can examine the medical information-based O2O platform quality characteristics as system quality, information quality, and service quality based on the information system success model of Pei et al. (2019).

First, system quality is the degree by which a system is stably and efficiently used (Pei et al., 2019) and means system characteristics measurement (Chen et al., 2019). From a system performance aspect, it can be interpreted as customers’ perception degree and the information quality derived from delivered media characteristics (Ha & Kitchen, 2020). Gal-Tzur et al. (2020) defined system quality as a relationship between whether consistency or defects occur in all systems themselves. Namely, system quality means providing a service through which users can quickly, conveniently, and safely use the system without technical problems (Zhang et al., 2016). It is generally studied as a major success factor for an information system (Moon & Armstrong, 2020). Because customers tend to stop using, rather than request correction or present a complaint, when there is a problem in system quality in using a specific system (Zhang et al., 2016), system quality means technical success that can produce accurate information and communication is possible.

Second, information quality is based on how consumers measure the perception degree value on information provided through the platform system and is defined as consumer perception of information quality (Chang et al., 2020). Information quality also means the delivery degree of quickly and accurately valuable and meaningful content to consumers (Kaufhold et al., 2020). Excellent information quality induces users’ joy and positive behavioral intention (Gorla et al., 2010). Information quality should be accurate, and timeliness and context management, by which information can be checked and used anywhere, anytime, is essential (Klievink et al., 2012). Information’s context relevance measures how much the provided information is suitable for the current user’s position (location). Because the same information evaluation can differ depending on the time and place in which the information is provided, users tend to be amicable to information related to the current context that is given to them (Ferhatoglu et al., 2019).

Third, service quality is the degree of accordance between the provided service to customers and pre-expected service (Fu, 2018; Gal-Tzur et al., 2020). The O2O platform service is a commercial activity carried out in the interactions between devices and humans, and system-based factors are considered necessary in addition to service quality factors in the existing offline (Du & Tang, 2014). Contents that interest users should be provided, information suitable for individual users needs to be offered, and menu configuration suitable for individual users needs to be possible (Basili & Rossi, 2020). Osman et al. (2017) defined service quality as the overall service provided by service providers. Hamenda (2018) defined service quality as a quality that system users receive from an information system organization or IT supporting people (Li et al., 2017).

3. Research Method

3.1. Research Model and Hypotheses

This study set the quality components as independent variables, such as system quality, information quality, and service quality, and set perceived benefits, flow experience, and use satisfaction as parameters. Lastly, continuous use intention was considered as a dependent variable. To this end, the following research model, as shown in Figure 1, was designed, based on previous studies.

Figure 1: Research Model

3.1.1. Platform Quality Components and Perceived Benefits

Consumers expect specific benefits that attributes can provide and decide whether to buy beyond the specific attributes of products (Choi & Choi, 2019). Specifically, they expect product purchase benefits, which are called perceived benefits or perceived value (Lee & Yang, 2017). In many previous studies, O2O service and digital platform quality factors affected consumers’ perceived benefits Moon & Armstrong, 2020). Typically, Zhang et al. (2016) explained that digital platform quality factors affected perceived benefits: system quality, information quality, and service quality. Studies on mobile apps (Pe et al., 2019) presented an empirical result that app quality affects perceived benefits. Based on the previous studies, the following hypotheses could be designed:

H1: System quality in the medical information O2O platform components will positively affect (+) perceived benefits.

H2: Information quality in the medical information O2O platform components will positively affect (+) perceived benefits.

H3: Service quality in the medical information O2O platform components will positively affect (+) perceived benefits.

3.1.2. Platform Components and Flow Experience

Flow experience means that one does not perceive time flows while engaging in activities and feeling joy without considering special rewards (Chen et al., 2019). Flow is related to diverse types of consumer activities in which individuals are engrossed in making joyful experiences (Wang & Hsiao, 2012). It is a concept related to forming continuous participation intention in activities within the digital platform and works through various experiences and factors (Ha & Kitchen, 2020). In previous studies, information quality significantly affects flow experience in the platform service use environment (Fu, 2018). Also, digital platforms’ information quality and service quality are presented as essential factors affecting flow experience (Basili, & Rossi, 2020). The following hypotheses could be designed based on the previous studies:

H4: System quality in the medical information O2O platform components will positively affect (+) flow experience.

H5: Information quality in the medical information O2O platform components will positively affect (+) flow experience.

H6: Service quality in the medical information O2O platform components will positively affect (+) flow experience.

3.1.3. Perceived Benefits, Flow Experience, and Use Satisfaction

When looking at previous studies on perceived benefits, flow experience, and use satisfaction, the perceived benefits, and flow experience positively affect users’ use satisfaction (Skadberg & Kimmel, 2004; Xin et al., 2010). From the functional and emotional benefits aspects, consumer-perceived benefits positively affect satisfaction with mobile and digital services (Xue et al., 2016). Flow experience is presented to increase customer satisfaction, repetitive use, and preference (Hoffman & Novak, 1997). Especially as Hsu and Lu (2004) presented in the platform service, user-perceived benefits positively affect use satisfaction.

Voiskounsky et al. (2004) asserted that the flow experience based on the digital environment within the platform service draws commitment to the service and joyful emotions, improving use satisfaction. Based on the previous studies, the following hypotheses could be designed:

H7: Perceived benefits on the medical information O2O platform will positively affect (+) use satisfaction.

H8: Flow experience on the medical information O2O platform will positively affect (+) use satisfaction.

3.1.4. Use Satisfaction and Continuous Use Intention

Use satisfaction in the online and offline service activities has been verified as positively affecting continuous use intention (Montoya-Weiss et al., 2003). In using the O2O platform service, use satisfaction positively affects continuous use intention (Lee & Yang, 2017). Chen et al. (2019) verified that use satisfaction typically significantly affects reuse intention using O2O platform quality factors as a variable. Kim and Chung (2018) explained that O2O platform service quality and information quality affect reuse intention with the mediation of satisfaction. The following hypothesis could be designed based on the previous studies:

H9: Use satisfaction with the medical information O2O platform will positively affect (+) continuous use intention.

3.2. Measurement Variable and Data Collection

A questionnaire survey was carried out to collect data to analyze the model, and questions were completed through previous studies, as shown in Table 1. In addition, manipulative variables of components were to be composed as the questions were defined. When looking at the manipulative definition of the used variables for the questionnaire survey, the system quality of the medical information O2O platform components mean helping quick medical appointments, recommending close medical institutions, and stably operating when consumers want to use the platform. Information quality means providing various information related to medical services and quick updating for accurate information. Service quality means providing customized service reflecting individual consumers’ requirements.

Table 1: Variable Definitions and Measure

Perceived benefit, a parameter affected by the above factors, is perceived as consumers receive help and convenience that minimize non-monetary expenses through quick service. Flow experience is a factor in understanding consumers’ behaviors, which means how much users are engrossed in and use without caring about the surroundings.

Use satisfaction means consumers’ satisfaction with convenience while using the medical information O2O platform. Lastly, continuous use intention means that consumers who used the platform want to use it again and the degree to recommend the platform to others. The variables defined above consist of 21 questions in the questionnaire. However, as a result of factor analysis, each question out of each three questions of the perceived benefits, flow experience, and continuous use intention was rejected, so an analysis was conducted with two questions, respectively.

3.3. Demographic Information of the Data

As for the gender of the respondents, males were 47.6%, and females were 52.4%, so an even distribution was shown. Concerning age, 54.3% and 35.1% were in their 30s and 40s, respectively, so most respondents were in their 30s and 40s. Regarding occupation, 46.2% were company employees, followed by professionals and self-employed people at 42.1%. As for education level, 69.6%, 20.6%, and 9.7% were revealed as “enrolled in or graduated from university,” “graduated from high school,” and “enrolled in or graduated from graduate school,” respectively in the order. Regarding annual medical costs, 46.0% and 41.5% were less than KRW 1 million and KRW 1 million to less than KRW 2 million, respectively, so most respondents spent less than KRW 2 million on medical costs. Concerning the medical information platform use period, users with less than one year were 67.4%, and one year to less than three years were 32.6% (see Table 2).

Table 2: Demographic Information of Survey Participants

4. Results

4.1. Analysis Results of Reliability and Validity

As shown in Table 3, the reliability and convergent validity analysis results were all good. The internal consistency reliability was verified based on 0.7 and higher of the composite reliability index of the structural equation measurement model. Securing validity of convergent validity was verified through factor loading, Cronbach α, and composite reliability index. In line with the criteria, all factor loading was 0.680 to 0.961, and all were good. Internal reliability was 0.736 to 0.879, and significance was secured. Because the t value is 8.0 and higher, it was confirmed to be statistically significant. AVE was 0.481-0.737, and Cronbach α was 0.735-0.833, so convergent validity was secured. According to the analysis result of the fit of the measurement model, χ²(df) was 504.154, χ²/degree of freedom was 3.665. Goodness-of-Fit-Index (GFI) value was 0.902, Adjusted Goodness-of-Fit-Index (AGFI) was 0.878, Normal Fit Index (NFI) was 0.898, and Root Mean Square Error of Approximation (RMSEA) was 0.045.

Table 3: Results of Reliability and Convergent Validity Test

Therefore, the component values of the measurement model fit were statistically very significant.

4.2. Analysis Results of the Structural Model

As presented in Table 5, due to an analysis of structural model fit, χ²(p) was 513.231 (0.000), and χ²/degree of freedom was 3.424. GFI value was 0.907, NFI was 0.905, AGFI was 0.869, RMR was 0.021, and RMSEA was 0.038, so the component values of fit were significant. Although not affected by the sample, CFI indicating the model’s explanation power was 0.912, and TLI judging the explanation power of the structural model was 0.897, so the primary model was analyzed to be suitable.

Table 4: Discriminant Validity

* p<0.05, ** p<0.01, *** p<0.001/ The bold diagonal value is the square root of AVE.

Table 5: Results of the Hypothesis Test

As shown in Table 5, as a result of hypothesis verification through a path analysis of the structural equation model, two out of eight hypotheses were rejected. The system quality (5.512, p<0.001) and service quality (5.042, p<0.001) out of the medical information O2O platform quality components positively (+) affected perceived benefits. However, the information quality hypothesis was rejected, so there was no effect. In the result that verified the effect on flow experience, the system quality (3.805, p<0.001) and service quality (2.913, p<0.05) had a positive (+) effect on flow experience. The information quality hypothesis was rejected, so there was no effect. Perceived benefits (8.353, p<0.001) and flow experience (5.936, p<0.001) had a positive (+) effect on use satisfaction, and the use satisfaction (9.505, p<0.001) also had a positive effect (+) on continuous use intention.

4.3. Mediated Effect

As seen in Table 6, this study drew direct, indirect, and total effects using a bootstrapping method to verify the significance of indirect effects. Like the path analysis result above, information quality did not show a mediated effect of perceived benefits and flow experience regarding use satisfaction. System quality was confirmed to affect use satisfaction with the mediation of perceived benefits (0.120, p<0.01) and flow experience (0.061, p<0.01). Service quality also showed a mediated effect of perceived benefits (0.047, p<0.01) and flow experience (0.068, p<0.05) in terms of use satisfaction. It was ascertained that perceived benefits (0.078, p<0.01) and flow experience (0.065, p<0.01) affected continuous use intention with the mediation of use satisfaction.

Table 6. Results of Mediated Effect

4.4. Discussions

This study researched the effects of medical information O2O platform quality components on continuous use intention through the mediation of perceived benefits, flow experience, and use satisfaction. As a result of the analysis, the following results were drawn:

First, when looking at the relationship between medical information O2O platform quality components and perceived benefits and flow experience, the system quality and service quality positively (+) affect perceived benefits and flow experience in the order. However, information quality did not affect the relationship between perceived benefits and flow experience. According to a previous study by Lee and Yang (2017), the information quality of the O2O delivery app service has a high possibility of recognizing the information provided through accumulated experience in advance specifically. Therefore, the effect on customer satisfaction was not significant. Because a quick appointment with a doctor based on existing accumulated experience is perceived as more crucial in terms of a medical information app, it can be interpreted that information quality within the platform service does not significantly affect satisfaction. The aged population or chronic disease patients frequently looking for medical services need the same medical institutions and drug prescriptions, not new medical information; therefore, it was confirmed that quality, which customers want more in the medical information O2O platform, is the system quality in which convenience is emphasized like making an appointment with a doctor by quickly accessing. Making an appointment with a doctor is possible based on position (location) information anywhere.

Second, flow experience positively (+) affects use satisfaction and continuous use intention. It was confirmed that users’ flow experience could be as important as perceived benefits in the medical information O2O platform. Generally, flow experience was handled as a factor increasing use satisfaction or preference, centered on a digital platform such as games or entertainment (Xin Ding et al., 2010; Voiskounsky et al., 2004). However, it was ascertained that the flow experience factor could work as mediation in enhancing use satisfaction by consolidating system quality and service quality for medical information platform users. There is a need to consider the experience factors related to making an appointment with a doctor and contactless treatment.

Third, a positive (+) effect was revealed in the relationship between use satisfaction and continuous use intention in the case of medical information platform services. Like the previous study result of digital O2O platform service (Wang et al., 2021; Pei et al., 2019; Chen et al., 2019), it was confirmed that medical information platform service could positively affect continuous use intention if service quality satisfaction is improved. The medical information O2O platform has a peculiarity of an area handling information affected by information security, regulatory environment, and policy, unlike general digital platform services. However, as Choi and Choi (2019) asserted, in the same way public service loses the service function if users reject it, the medical information O2O platform service should induce customer satisfaction and continuous use. From this aspect, it was ascertained that use satisfaction with service could be essential in terms of continuous use factors like other digital O2O platforms in the medical service market through the results of this study.

5. Conclusion

5.1. Research Implications

This study may have an academic meaning in that platform quality is analyzed by classifying it into system quality, information quality, and service quality, and confirmed organic causal relationship for continuous use intention with the mediation of perceived benefits and flow experience, unlike previous studies on medical information O2O platform that emphasized general platform construction or technical characteristics. The study result provided that system quality and service quality, rather than information quality, can consolidate use satisfaction regarding the medical information O2O platform. Based on this, this study can present the following practical implications:

First, the importance of the platform’s system quality can be emphasized to improve use satisfaction and continuous use intention in the case of medical information platforms. In general, offline medical institutions’ customer service activities and service processes, such as reducing waiting time, increasing process convenience, convenient service to make an appointment with a doctor, and linkage of treatment and prescription, work as essential factors. Customers request faster and more convenient appointments with a doctor, proper treatment, and a simple process in the medical information distribution and platform. Consequently, platform developers or medical institutions can consider innovative system development to improve the digital medical service process and consolidate convenience by reflecting such features.

Second, because flow experience affects use satisfaction in the medical information platform service, there is a need to strengthen the platform user experience. Rather than focusing on just information distribution and consumption, factors that may stimulate functional and emotional experience factors or devices to enhance commitment can be provided in making an appointment with a doctor or searching for information. Considering the characteristics of medical platform users, users need to experience customized medical information concept by the situation, especially a need to fortify platform use experience satisfaction by consolidating medical service quality.

Lastly, service quality consolidation such as prediction and prevention can be considered beyond information and service offering because the role of the medical information O2O platform will be expanded due to the expansion of contactless treatment in the future. Consumers’ time use maximization can be offered by increasing convenience through adding a function, such as presenting a list of medical institutions that consumers mainly use in reflection of their characteristics or a function to set the list in advance. Medical institutions for medical examination or treatment activities like beauty care or plastic surgery can provide a possible schedule in advance, and consumers can consider a medical appointment service beforehand. There is a need to seek measures to extend medical service benefits and the selection range of consumers through prior notice of new information offering and distribution.

5.2. Limitations and Future Research

This study has research significance in that it presented empirical results through discussions on service quality, use satisfaction, and continuity, unlike existing previous studies emphasizing the data and technology development aspect of medical information platforms amid the environment where the digital healthcare and medical information O2O platform service market is growing. Nonetheless, this study has the following research limitations: First, this study surveyed only Korean medical information app users. Since Korean medical service consumers’ characteristics are reflected, there is a limitation in generalizing the study results. There is a need to consider research expansion by targeting medical information app users in each continent or major country and expanding the research target countries in a further study. Second, this study defined the quality components of medical information apps based on general O2O platform service components, such as system quality, service quality, and information quality, so the medical information service's peculiarity was not considered. A further study that can discover distinguishing factors from a service aspect that medical information platform has may be conducted, empirically discussing the relationship between satisfaction and use continuity.