Implementation of electronic health records systems in surgical units and its impact on performance

The Analyzation of Change in Documentation due to the Introduction of Electronic Patient Records in Hospitals-A Systematic Review

The major impact on healthcare through the ongoing digital transformation and new technologies results in opportunities for improving quality of care. Electronic patient records (EPR) are a substantial part in this transformation, even though their influence on documentation remains often unclear. This review aims to answer the question of which effect the introduction of the EPR has on the documentation proper in hospitals. To do this, studies are reviewed that analyze the documentation itself, rather than merely conducting interviews or surveys about it. Several databases were searched in this systematic review (PubMed including PubMed, PubMed Central and Medline; PDQ Evidence; Web of Science Core Collection; CINHAL). To be included, studies needed to analyze written documentation and empirical data, be in either German or English language, published between 2010 and 2020, conducted in a hospital setting, focused on transition from paper-based to electronic patient records, and peer reviewed. Quantitative, qualitative and mixed methods studies were included. Studies were independently screened for inclusion by two researchers in three stages (title, abstract, full text) and, in case of disagreement, discussed with a third person from the research team until consensus was reached. The main outcome assessed was whether the studies indicated a negative or positive effect on documentation (e.g. changing the completeness of documentation) by introducing an EPR. Mixed Methods Appraisal Tool was used to assess the individual risk of bias in the included studies. Overall, 264 studies were found. Of these, 17 met the inclusion criteria and were included in this review. Of all included studies, 11 of 17 proved a positive effect of the introduction of the EPR on documentation such as an improved completeness or guideline adherence of the documentation. Six of 17 showed a mixed effect with positive and negative or no changes. No study showed an exclusively negative effect. Most studies found a positive effect of EPR introduction on documentation. However, it is difficult to draw specific conclusions about how the EPR affects or does not affect documentation since the included studies examined a variety of outcomes. As a result, various scenarios are conceivable with higher or reduced burden for practitioners. Additionally, the impact on treatment remains unclear.

The Impact of Structured and Standardized Documentation on Documentation Quality; a Multicenter, Retrospective Study

The reuse of healthcare data for various purposes will become increasingly important in the future. To enable the reuse of clinical data, structured and standardized documentation is conditional. However, the primary purpose of clinical documentation is to support high-quality patient care. Therefore, this study investigated the effect of increased structured and standardized documentation on the quality of notes in the Electronic Health Record. A multicenter, retrospective design was used to assess the difference in note quality between 144 unstructured and 144 structured notes. Independent reviewers measured note quality by scoring the notes with the Qnote instrument. This instrument rates all note elements independently using and results in a grand mean score on a 0–100 scale. The mean quality score for unstructured notes was 64.35 (95% CI 61.30–67.35). Structured and standardized documentation improved the Qnote quality score to 77.2 (95% CI 74.18–80.21), a 12.8 point difference (p < 0.001). Furthermore, results showed that structured notes were significantly longer than unstructured notes. Nevertheless, structured notes were more clear and concise. Structured documentation led to a significant increase in note quality. Moreover, considering the benefits of structured data recording in terms of data reuse, implementing structured and standardized documentation into the EHR is recommended.

The use of health information technology in renal transplantation: A systematic review

Renal transplantation is a complex, multi-disciplinary and cross-center service. Clinical pathways naturally traverse specialty and organizational boundaries as patients transition from chronic kidney disease to renal failure and ultimately transplantation. Health information technology (IT) has the potential to support transplant care by improving access to data, information sharing and communication. This novel review aimed to identify and characterize health IT solutions in renal transplantation, and where possible evaluate any intended benefits. A systematic literature review was conducted of studies covering any part of the clinical pathway, with end-users being clinical staff or patients. Interventions were characterized and evaluated for achieved benefits using the World Health Organization (WHO) Classification of Digital Health Interventions and the mixed methods assessment tool (MMAT) was used to determine the quality of experimental studies. Of 4498 articles, 12 descriptive and 6 experimental studies met the inclusion criteria. Median MMAT percentage score of experimental studies was 64 (i.q.r. 57 to 74.8). The most frequent functionality of technology involved overcoming communication roadblocks and improving access to data. Intended benefits included improving information management and supporting workflow, however only one study reported evaluated results. Six patient-facing applications that primarily addressed adherence-to-treatment were identified, five of which were evaluated for intended benefits, showing overall positive results. Overall, despite transplantation being well suited to health IT interventions, this review demonstrates a scarcity of literature in this field. A small number of clinician- and patient-facing IT solutions have been reported, albeit mostly in non-experimental studies. Due to this lack of formal evaluation, the effectiveness of solutions remains unclear. High-quality evaluative studies are required to develop effective IT solutions that improve clinical care.