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Digital Maturity, Organisational Learning, and Patient Safety Culture in a Emerging Economy Hospital System: A PLS-SEM Investigation

This study demonstrates that in emerging economy public hospitals, institutional digital maturity significantly enhances patient safety culture, clinical quality, and workforce competency, with organizational learning capacity serving as a critical mediator and moderator in this process.

Original authors: Haldun Turan

Published 2026-06-24

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: Haldun Turan

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine a hospital not just as a building with doctors and nurses, but as a giant, complex machine. For a long time, this machine ran on paper, memory, and human conversation. Now, the world is trying to upgrade this machine with "Health 4.0"—a fancy term for smart technology like Artificial Intelligence (AI), instant data sharing, and digital records.

This study asks a simple but crucial question: If we upgrade the hospital's technology, does it automatically make patients safer and the staff smarter?

The researcher, Haldun Turan, looked at 36 public hospitals in Turkey (an "emerging economy" setting) and surveyed nearly 500 healthcare workers to find the answer. Here is what the study found, explained through everyday analogies.

The Big Picture: The "Smart Hospital" Upgrade

Think of Digital Maturity as the quality of the hospital's new "operating system." It's not just about having computers; it's about how well those computers talk to each other, how easy they are to use, and how much they help doctors make decisions.

The study found that a strong, modern operating system is the most important factor in creating a culture where patients are kept safe.

The Analogy: Imagine a race car. You can have the best driver (the staff) and the safest track (the rules), but if the car's engine is old and sputtering, the car won't run well. The study shows that when you upgrade the engine (Digital Maturity), the whole car runs safer and smoother.

The Three Key Findings

1. Better Tech = Safer Patients (The Direct Link)

The study proved that hospitals with higher "Digital Maturity" had much stronger Patient Safety Cultures.

What this means: When the technology works well, it changes how people behave. For example, if a computer instantly alerts a nurse about a dangerous drug interaction, it stops a mistake before it happens. This builds a culture where safety is the default setting, not an afterthought.
The Result: The data showed this was the strongest connection in the entire study. Upgrading the tech was the biggest driver of safety.

2. Safety Culture Makes Staff Smarter

The study also found that a strong safety culture directly improved Health Worker Digital Competency.

The Analogy: Think of a safety culture as a "practice field." If a team feels safe admitting they made a mistake (without fear of getting fired), they learn faster. When the team feels safe, they are more willing to try out new digital tools and learn how to use them effectively.
The Result: A safe environment helps the staff get better at using the new technology.

3. The "Learning Engine" (Organisational Learning)

This is the most critical part of the story. The study found that technology alone isn't magic. It needs a "Learning Engine" to work. This is called Organisational Learning Capacity.

The Analogy: Imagine you buy a brand-new, high-tech video game console (Digital Maturity).
- If you just plug it in and sit on the couch doing nothing, you won't get any better at the game.
- But, if you have a group of friends who meet every week to share tips, watch tutorials, and practice together (Organisational Learning), you will master the game much faster.
The Finding: The study showed that hospitals with a strong "Learning Engine" got much more value out of their technology investments. The learning capacity acted as a booster, turning a good tech upgrade into a great safety and quality improvement. Without this learning culture, the technology still helped, but not as much.

What About the "Quality" of Care?

The study confirmed a chain reaction:

Digital Maturity improves Patient Safety Culture.
Patient Safety Culture improves Clinical Quality (better patient outcomes) and Staff Skills.
Organisational Learning makes all these steps happen faster and stronger.

Why This Matters for Turkey and Similar Places

The study focused on Turkey, a country rapidly trying to modernize its public hospitals. The researcher found that in these settings, the jump from "paper-based" to "digital" creates a massive boost in safety—perhaps even a bigger boost than in countries that have already been digital for a long time.

The Bottom Line:
You cannot just buy computers and expect patients to be safer. You need three things working together:

The Tech: A modern, integrated digital system.
The Culture: A safe environment where staff feel comfortable using it and reporting errors.
The Learning: A system where the hospital actively teaches and learns from its staff to keep improving.

If you have the tech but no learning culture, the machine runs, but it doesn't reach its full potential. If you have the learning culture but no tech, you're trying to run a race with a bicycle instead of a car. You need both, plus the "learning engine" to make them work together.

Technical Summary: Digital Maturity, Organisational Learning, and Patient Safety Culture in an Emerging Economy Hospital System

Problem Statement
The rapid acceleration of Health 4.0 technologies (AI, IoT, big data, interoperable EHRs) in emerging economy hospital systems has created an urgent need to understand whether institutional digital maturity translates into tangible improvements in patient safety culture (PSC) and health workforce competency. While digital deployment is often assumed to drive safety, empirical evidence suggests that without robust organisational learning capacity (OLC) and an embedded safety culture, technology alone may not yield clinical quality gains. This gap is particularly acute in emerging economies, where resource constraints, workforce skill gaps, and nascent safety infrastructures create distinct moderating conditions compared to high-income settings. Prior to this study, no peer-reviewed research had empirically quantified the structural pathways linking institutional digital maturity to patient safety culture in an emerging economy public hospital system using a multi-construct structural model.

Methodology
This cross-sectional study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze primary data collected from March to July 2024.

Sample: The study utilized purposive stratified sampling across 36 public hospitals in Istanbul and Kocaeli, Turkey, representing approximately 29% of the national public inpatient capacity. The final valid dataset comprised 488 healthcare workers (physicians, nurses, allied health professionals, and administrators).
Constructs: Five latent variables were operationalized:
1. Digital Maturity (DM): Independent variable covering infrastructure, EHR integration, AI support, and data governance.
2. Patient Safety Culture (PSC): Primary mediator based on AHRQ HSOPSC v2.0.
3. Clinical Quality Performance (CQP): Outcome variable based on JCI/SAS accreditation indicators.
4. Health Worker Digital Competency (HWDC): Outcome variable adapted from Torres-Castano et al.
5. Organisational Learning Capacity (OLC): Mediating and moderating variable.
Analysis: Data were analyzed using SmartPLS 4.0 with 5,000 bootstrap iterations. The study assessed measurement model quality (reliability, convergent and discriminant validity) and structural paths. Common method bias was ruled out via Harman's single-factor test. The model was grounded in the TOE framework and dynamic capability theory.

Key Results
All six hypothesized relationships were statistically supported (p < .001):

Digital Maturity as a Primary Driver: DM was the strongest predictor of Patient Safety Culture ( $\beta$ = 0.427, $f^2$ = 0.218), Clinical Quality Performance ( $\beta$ = 0.311), and Health Worker Digital Competency ( $\beta$ = 0.348).
Safety Culture as a Mechanism: PSC directly predicted both CQP ( $\beta$ = 0.364) and HWDC ( $\beta$ = 0.291), confirming its role as an active social-structural mediator rather than a passive outcome.
The Role of Organisational Learning: OLC functioned as a partial mediator across all four pathways (DM and PSC to CQP and HWDC). For instance, approximately 26% of the total effect of DM on CQP operated through OLC.
Moderation Effect: OLC positively moderated the relationship between Digital Maturity and outcomes ( $\beta$ = 0.194, p = .001). Hospitals with higher learning capacity derived significantly greater safety culture gains from equivalent digital maturity investments compared to those with lower capacity.
Model Fit: The structural model demonstrated acceptable fit (CFI = 0.947, RMSEA = 0.054, SRMR = 0.062) with moderate-to-strong explanatory power ( $R^2$ values ranging from 0.312 to 0.394).

Key Contributions

Empirical Validation in Emerging Economies: This study provides the first PLS-SEM evidence quantifying the structural link between digital maturity and patient safety culture specifically within an emerging economy public hospital system.
Comparative Insight: The study found that the DM $\rightarrow$ PSC coefficient ( $\beta$ = 0.427) was higher than comparable findings in Chinese public hospitals ( $\beta$ = 0.391), suggesting a potential "emerging economy premium" where the transition from paper-based to digital workflows yields proportionally larger safety culture gains.
Mechanism Identification: The research identifies OLC not merely as a background factor but as the critical conversion mechanism that transforms digital infrastructure into workforce competency and quality performance. It clarifies that digital maturity retains direct effects on safety culture independent of learning, but these effects are amplified by learning capacity.

Significance and Claims
The paper claims that institutional digital maturity is a structurally significant determinant of patient safety culture, clinical quality, and workforce competency in emerging economies. However, it emphasizes that digital investment alone is insufficient; the organisational conditions of learning are equally critical.

The authors argue that for national digital health strategies (such as Turkey's Digital Health Strategy 2024–2028) to be effective, they must condition infrastructure rollout on simultaneous organisational learning development. This includes embedding competency training, peer learning communities, and safety culture assessments alongside technical implementation. Furthermore, the study suggests that accreditation frameworks (JCI/SAS) should explicitly incorporate digital maturity requirements, given that only 43.2% of the sampled workforce was in accredited institutions.

The study concludes with a modest scope, acknowledging limitations such as the cross-sectional design (limiting causal inference) and geographic specificity to Istanbul and Kocaeli. It calls for future longitudinal studies and diverse geographic replication to further validate these structural pathways.