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Background Gonorrhoea notification rates in Australia have more than doubled between 2014 and 2019. We explored gonorrhoea testing patterns and management of gonorrhoea infection in general practice. Methods We analysed de-identified electronic medical record data for individuals who attended 73 Australian general practices (72 in the state of Victoria) between January 2018 and December 2020. The 'care cascade' model was utilised to explore gonorrhoea detection and management. Descriptive analysis and logistic regression were used to investigate factors associated with gonorrhoea testing, treatment and retesting. Results During the study period, there were a total of 1,027,337 clinical episodes. Of these, 5.6% (n =57,847, 95% confidence interval [CI] 4.5-6.7) involved a gonorrhoea test and 1.1% (n =637, 95% CI 0.8-1.4) tested positive. Of the 637 gonorrhoea cases, 48.4% (n =308, 95% CI 29.8-67.0) had an Australian guideline-recommended dual antibiotic prescription (ceftriaxone and azithromycin) recorded. Of 329 cases without a dual antibiotic prescription, 84.2% (n =277, 95% CI 77.5-90.9) had reattended the clinic. Among the 206 gonorrhoea cases with dual antibiotic prescription recorded in 2018 and 2019, 32.0% (n =66, 95% CI 25.3-38.8) were retested from 6weeks to 6months post-treatment. Of the 140 gonorrhoea cases that were not retested, 54.3% (n =76, 95% CI 46.8-61.8) reattended the clinic within 6months of treatment. Conclusion The low proportion of gonorrhoea cases prescribed recommended antibiotics and retested within recommended timeframes suggests opportunities for integrating Australian STI guidelines into primary care. Further exploration of care pathways is warranted to determine if care was provided but not recorded, provided elsewhere or not provided.

Background: Diagnosis can often be recorded in electronic medical records (EMRs) as free-text or using a term with a diagnosis code. Researchers, governments, and agencies, including organisations that deliver incentivised primary care quality improvement programs, frequently utilise coded data only and often ignore free-text entries. Diagnosis data are reported for population healthcare planning including resource allocation for patient care. This study sought to determine if diagnosis counts based on coded diagnosis data only, led to under-reporting of disease prevalence and if so, to what extent for six common or important chronic diseases., Methods: This cross-sectional data quality study used de-identified EMR data from 84 general practices in Victoria, Australia. Data represented 456,125 patients who attended one of the general practices three or more times in two years between January 2021 and December 2022. We reviewed the percentage and proportional difference between patient counts of coded diagnosis entries alone and patient counts of clinically validated free-text entries for asthma, chronic kidney disease, chronic obstructive pulmonary disease, dementia, type 1 diabetes and type 2 diabetes., Results: Undercounts were evident in all six diagnoses when using coded diagnoses alone (2.57-36.72% undercount), of these, five were statistically significant. Overall, 26.4% of all patient diagnoses had not been coded. There was high variation between practices in recording of coded diagnoses, but coding for type 2 diabetes was well captured by most practices., Conclusion: In Australia clinical decision support and the reporting of aggregated patient diagnosis data to government that relies on coded diagnoses can lead to significant underreporting of diagnoses compared to counts that also incorporate clinically validated free-text diagnoses. Diagnosis underreporting can impact on population health, healthcare planning, resource allocation, and patient care. We propose the use of phenotypes derived from clinically validated text entries to enhance the accuracy of diagnosis and disease reporting. There are existing technologies and collaborations from which to build trusted mechanisms to provide greater reliability of general practice EMR data used for secondary purposes., (© 2024. The Author(s).)

Objectives In this overview, we describe theObservational Medical Outcomes Partnership Common Data Model (OMOP-CDM), the established governance processes employed in EMR data repositories, and demonstrate how OMOP transformed data provides a lever for more efficient and secure access to electronic medical record (EMR) data by health service providers and researchers. Methods Through pseudonymisation and common data quality assessments, the OMOP-CDM provides a robust framework for converting complex EMR data into a standardised format. This allows for the creation of shared end-to-end analysis packages without the need for direct data exchange, thereby enhancing data security and privacy. By securely sharing de-identified and aggregated data and conducting analyses across multiple OMOP-converted databases, patient-level data is securely firewalled within its respective local site. Results By simplifying data management processes and governance, and through the promotion of interoperability, the OMOP-CDM supports a wide range of clinical, epidemiological, and translational research projects, as well as health service operational reporting. Discussion Adoption of the OMOP-CDM internationally and locally enables conversion of vast amounts of complex, and heterogeneous EMR data into a standardised structured data model, simplifies governance processes, and facilitates rapid repeatable cross-institution analysis through shared end-to-end analysis packages, without the sharing of data. Conclusion The adoption of the OMOP-CDM has the potential to transform health data analytics by providing a common platform for analysing EMR data across diverse healthcare settings., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: Hospital costs continue to rise unsustainably. Up to 20% of care is wasteful including low value care (LVC). This study aimed to understand whether electronic medical record (EMR) alerts are effective at reducing pediatric LVC and measure the impact on hospital costs., Materials and Methods: Using EMR data over a 76-month period, we evaluated changes in 4 LVC practices following the implementation of EMR alerts, using time series analysis to control for underlying time-based trends, in a large pediatric hospital in Australia. The main outcome measure was the change in rate of each LVC practice. Balancing measures included the rate of alert adherence as a proxy measure for risk of alert fatigue. Hospital costs were calculated by the volume of LVC avoided multiplied by the unit costs. Costs of the intervention were calculated from clinician and analyst time required., Results: All 4 LVC practices showed a statistically significant reduction following alert implementation. Two LVC practices (blood tests) showed an abrupt change, associated with high rates of alert adherence. The other 2 LVC practices (bronchodilator use in bronchiolitis and electrocardiogram ordering for sleeping bradycardia) showed an accelerated rate of improvement compared to baseline trends with lower rates of alert adherence. Hospital savings were $325 to $180 000 per alert., Discussion and Conclusion: EMR alerts are effective in reducing pediatric LVC practices and offer a cost-saving opportunity to the hospital. Further efforts to leverage EMR alerts in pediatric settings to reduce LVC are likely to support future sustainable healthcare delivery., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objectives: Limited studies have been performed in South America to assess patient and physician perceptions of electronic health record (EHR) usage. We aim to study the perceptions of patients and physicians regarding the impact of EHRs on the patient-physician relationship., Methods: We use a survey instrument to assess the physician computer experience and opinions regarding EHR impact on various aspects of patient care. An additional survey is used to assess patient opinions related to their medical visit. Surveys are administered in two outpatient clinics in a private, academic health care network., Results: While a majority of physicians believed that EHRs have an overall positive impact on the quality of health care, many physicians had negative perceptions of the impact of EHRs on the patient-physician relationship. A majority of patients felt comfortable with their physician's use of the EHR and felt that their physician was able to maintain good personal contact while using the computer., Conclusion: Although physicians believe EHRs have a generally positive impact on the overall quality of care, the EHR's impact on the patient-physician relationship is still of concern. Patients do not perceive a negative interference from the EHR on the patient-physician relationship., Competing Interests: None declared., (Georg Thieme Verlag KG Stuttgart · New York.)

Electronic health records (EHRs) present an opportunity for quality improvement in health organitations, particularly at the primary health level. However, EHR implementation impacts clinical workflows, and physicians frequently prefer to document in a non-structured way, which ultimately hinders the ability to measure quality indicators. We present an assessment of data completeness-a key data quality indicator-during the first 12 months after the implementation of an EHR at a teaching outpatient center in Santiago, Chile.

Electronic health records (EHRs) can produce significant disruption when first implemented. Successful implementations depend on the availability of technical and clinical support. We present a description of the frequency and types of issues raised during the first 12 months after the implementation of an EHR at a teaching hospital in Santiago, Chile.

This work explores a) the use of e-health systems in the context of palliative care and b) the information needs of patients, care givers and healthcare professionals in palliative care. To achieve this we conducted a systematic literature review and interviewed health professionals in Germany, Peru, and Chile. All countries have in common that specific e-health systems are rarely used in this context and the presence of a gradient of available care between rural and urban areas.