Electronic Health Record System Support for Physician-Patient Communication: National Cross-Sectional Survey on Outpatient Physicians' Experiences
Clinical Snapshot
PICO Framework
| P — Population | 1983 physicians working in public sector outpatient clinics (primary and specialized care) in Finland |
| I — Intervention | Electronic Health Record (EHR) systems with varying characteristics |
| C — Comparator | Different EHR characteristics and functionalities |
| O — Outcomes | Perceived support for physician-patient collaboration and information exchange |
Bottom Line
This Finnish national survey of 1983 outpatient physicians identifies five key EHR characteristics that support physician-patient collaboration: rapid system responsiveness, ease of utilizing patient-provided data, treatment adherence support, medication error prevention, and comprehensive patient data access. While the cross-sectional design limits causal conclusions, the findings provide valuable insights for EHR optimization. The study addresses an important gap by focusing on physicians' perspectives rather than just patient experiences. For Australian clinicians, these results offer practical guidance for EHR system selection and configuration, particularly relevant given ongoing My Health Record integration and digital health initiatives. The identified features could inform quality improvement efforts and vendor discussions about system enhancements to better support clinical workflows and patient engagement.
Key Findings
P Value: Not reported in abstract
Effect Size: Five EHR characteristics significantly associated with collaboration support
Primary Outcome: Perceived support for physician-patient collaboration and information exchange
Nnt Or Sensitivity: Model R² = 0.27 (explains 27% of variance)
Confidence Interval: Not reported in abstract
Clinical Application
Highly feasible as findings relate to existing EHR optimization rather than new interventions Directly relevant to Australian practice with My Health Record implementation and ongoing EHR optimization in public and private sectors Physicians using EHR systems in outpatient settings, particularly relevant for primary care and specialist clinics
Abstract
The impact of digital patient engagement platforms (DPEPs) on interactions between physicians and patients has been widely studied from patients' perspectives. However, research into physicians' viewpoints remains scarce. This study aimed to identify electronic health record (EHR) characteristics that support physician-patient collaboration from the perspective of physicians working in outpatient care. A national cross-sectional survey of physicians' experiences with EHRs was conducted in Finland in 2021 where EHR coverage had reached 100% already in 2010. We selected the responses of 1983 physicians working in public sector outpatient clinics (primary and specialized care). Linear regression analysis was used to examine the relationship between eight EHR characteristics and perceived support for physician-patient collaboration and information exchange. Of these, rapid system responsiveness, ease of utilizing patient-provided data, support for adherence to treatment recommendations, assistance in preventing medication errors, and comprehensive and reliable patient data were found to be associated with support. The model accounted for 27% of the variance in the dependent variable. In addition to enhancing care outcomes, clinical decision support and easy access to patient data can aid physicians in interactions with patients. Further investigations should continue to analyze how these identified features could better support collaboration with patients - beyond DPEPs and visible interactions during appointments. Considering the rapid evolution of DPEPs, future studies should also take into account the depth of the DPEP-EHR integration.
References
- 1.Lääveri, T., Aspelund, A., & Viitanen, J. (2026). Electronic Health Record System Support for Physician-Patient Communication: National Cross-Sectional Survey on Outpatient Physicians' Experiences. Studies in Health Technology and Informatics. https://doi.org/10.3233/SHTI260691
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