JMIR Publications

ABSTRACT

Background:

Abstract Digital transformation in healthcare, including electronic health records, telemedicine, data analytics, and mobile health applications, is reshaping service delivery and patient experience. However, evidence on how these technologies influence e-healthcare service quality within developing countries remains limited. This study aimed to examine the impact of digital transformation on e-healthcare service quality through the mediating role of clinical process change. A quantitative, cross-sectional survey design was conducted among healthcare users in Alexandria Egypt private sector data. Data were collected using validated instruments addressing electronic health services, telemedicine, data analytics, and mobile applications, with physician–patient communication. Responses were analyzed to assess perceptions of accessibility, security, usability, and service quality. Findings showed a predominance of neutral attitudes toward digital health technologies. Nearly half of respondents (45%) were neutral about accessibility, and only 32% strongly agreed that records were secure. Neutrality was also common regarding data analytics (33.8% awareness, 38.0% quality of care, 32.8% decision-making) and mobile applications (36.8% user-friendliness, 34.3% wait time reduction, 38.5% technical reliability). Communication indicators showed moderate ratings, with neutrality prevailing for physician listening (34.0%) and patient comfort (32.3%). Despite neutrality, around one-third agreed on the convenience of telemedicine and clarity of information provided (45.8%). The study demonstrates that digital transformation, mediated partly through clinical process change, enhances clinical workflows and perceived e-healthcare service quality. However, widespread neutrality indicates knowledge gaps, highlighting the need for user-centered design, digital literacy training, and improved communication to maximize the benefits of healthcare digitalization. Keywords: Digital transformation; E-healthcare service quality; Clinical process change; Data analytics; Telemedicine.

Objective:

The study aims to achieve the following objectives: 1. To examine the scope and evolution of digital transformation in healthcare systems. 2. To identify the key enablers of successful digital transformation, including technological infrastructure and leadership. 3. To explore the major barriers to digital health implementation. 4. To assess the impact of DT on healthcare delivery, patient outcomes, and provider experience. 5. To develop a conceptual framework to guide future digital transformation efforts.

Methods:

6.1 Research Design A quantitative, cross-sectional survey design was employed to examine the relationships between digital transformation (DT), clinical process change (CPC), and healthcare e-service quality in private hospitals in Egypt. Structural Equation Modeling (SEM) using Partial Least Squares (PLS-SEM) was used to test the hypothesised mediation model. ________________________________________ 6.2 Target Population and Sampling Frame The target population consisted of patients who received services from private hospitals in Egypt during the data collection period. Staff members or clinical professionals were not included in the sample to maintain conceptual consistency, because the dependent variable—e-service quality—is evaluated by patients, not employees. The sampling frame covered adult patients (≥18 years old) who visited outpatient departments, emergency units, or utilised digital channels (e.g., mobile apps, portals) during the study period. ________________________________________ 6.3 Sampling Strategy and Justification A convenience sampling approach was used due to practical constraints, including variable patient flow across hospitals and restricted access to patient records. Although probability sampling is ideal, convenience sampling is widely acceptable in healthcare service quality research when direct access to sampling lists is not feasible. To mitigate limitations, recruitment occurred across multiple hospitals, different days of the week, and various service units to improve representativeness.

Results:

7. Results This study presented and analyzed the empirical findings of the study investigating the impact of Digital Transformation through the dimensions of E-health Records, Telemedicine Services, Data Analytics, and Mobile Applications on E-healthcare Service Quality within Egypt’s private healthcare sector, with Clinical Process Change acting as a mediating variable. The descriptive analysis offered a clear understanding of the respondent demographics, suggesting a sample of digitally literate and experienced users. The results revealed generally positive attitudes toward digital healthcare services, especially in areas related to telemedicine convenience, mobile app functionality, and perceived security. Using Structural Equation Modelling (SEM), the study validated a strong model fit and confirmed the reliability and validity of the measurement constructs. The analysis demonstrated that Digital Transformation has a significant positive impact on both Clinical Process Change and E-healthcare Service Quality. Furthermore, the results established that Clinical Process Change partially mediates the relationship between Digital Transformation and E-healthcare Service Quality (H4), reinforcing the importance of internal operational improvements in realizing the benefits of digital initiatives. Overall, the findings confirm that successful digital transformation initiatives in healthcare not only require technological implementation but must be accompanied by clinical process enhancements to achieve higher service quality. These results have significant implications for healthcare decision-makers, emphasizing the need to invest in integrated digital and process change strategies to improve patient outcomes and service delivery in the digital age. Figure 4 shows the measurement model which consists of 11 latent variables, namely, E-health records, Telemedicine services, Data analytics, Mobile App, Physician-Patient Interaction, Information Accessibility, Security, Responsiveness, Reliability, Ease of use and Loyalty.

Conclusions:

Conclusion Our empirical results resonate strongly with the broader scholarly literature: digital transformation including E health records, telemedicine, data analytics, and mobile apps significantly enhances both clinical processes and perceived e healthcare service quality. The partial mediation through clinical process change further corroborates system-level frameworks and empirical studies describing how digital tools translate into quality improvements when embedded in improved clinical workflows. These results provide solid academic validation and practical guidance for implementing digital innovation in healthcare.