Evaluating the Quality of Endometriosis Operative Reports among High Volume Endometriosis Surgeons

OBJECTIVE

To evaluate the quality of operative reports for endometriosis surgeries performed by fellowship-trained, high-volume endometriosis surgeons.

METHODS

In this retrospective review, 5 consecutive deidentified surgical reports per surgeon were evaluated by two reviewers. Each dictation was assigned a quality score (between 0 and 28), based on the number of components from the American Association of Gynecologic Laparoscopists (AAGL) classification system that were documented. Primary outcome was the proportion of reports for which endometriosis AAGL 2021 stage could be assigned. Secondary outcomes included median dictation quality scores, proportion of dictations for fertility-preserving cases where Endometriosis Fertility Index (EFI) score could be assigned, individual quality score components, and quality score variation between surgeons, institutions, and reporting methods.

RESULTS

82 operative reports were reviewed from 16 surgeons across 7 sites in Ontario. AAGL stage could be assigned in 48/82 (59%) of cases, and EFI score could be assigned in 31/45 of fertility-preserving cases (69%). Median quality score was 57% (range 18%-86%). Only 13% of operative reports included comment on residual disease. Quality score consistency between reports was poor for a given surgeon (ICC = 0.22, 95% CI 0.03-0.49). Quality scores differed significantly between surgeons (chi-square = 30.6, df = 16, P = .015) and institutions (chi-square = 19.59, df = 7, P = .007). Operative report quality score did not differ based on completion by trainee or staff, template use, or whether the report was completed by telephone or typed.

CONCLUSION

There is significant variability and inconsistency in endometriosis surgery documentation. There is a need to standardize surgical documentation for endometriosis surgeries, enhancing communication and ultimately patient care.

Comparing Patient Perception and Physician's Records: Generative AI Performance Evaluation

Patient perception involves a patient's thoughts and beliefs regarding their health status. It is also associated with medical compliance and outcomes. However, discrepancies often arise between patient perception and physicians' documentation within the medical records, resulting in misunderstanding and suboptimal doctor-patient communication. In this study, we assessed the efficacy of generative artificial intelligence (AI) in comparing the content of patient perception as recorded in patient questionnaires and physicians' records of the Department of Breast Surgery. We evaluated the precision and recall of the generative AI by comparison with human-created ground truth. Our results demonstrated the high performance of the generative AI in comprehending and contrasting symptoms and the entire content recorded differently by patients and physicians, with F1 scores ranging from 0.77 to 0.97. These results highlight the potential contribution of a generative AI to deeper mutual comprehension in healthcare scenarios.

Patient online access to medical records in general practice: Perceived effects after one year follow-up

OBJECTIVE

Online access to medical records is expected to foster patient empowerment and patient-centred healthcare. However, data on actual experienced effects remain limited. We aimed to examine the development of effects patients perceive from online access.

METHODS

A nationwide online survey (N = 1769) evaluated Dutch patients' use of online access and beliefs about its effects on 16 outcomes at baseline and one-year follow-up. Analyses of Variance (ANOVA) were used to examine within-person belief changes across three user groups: patients who 1) used online access before the study, 2) started use during the study, and 3) did not use it at all.

RESULTS

There was a small decline in five beliefs around online access facilitating patient empowerment and participation in participants who started using online access during the study compared to at least one other user group. Most changes in beliefs did not differ between groups.

CONCLUSION

No evidence of benefits from online access was found. The findings might indicate inadequacies in the current system of online access. Possibly, the benefits of online access are contingent upon portal improvements and changes in documentation practices.

PRACTICE IMPLICATION

Records need to be easily accessible and comprehensible for patients. Consultation practices should enable patient participation.

Learning difficulties often not documented in newly diagnosed focal epilepsy

OBJECTIVE

A previous investigation of people with newly diagnosed focal epilepsy participating in the Human Epilepsy Project 1 (HEP1) revealed an association between learning difficulties and structural brain differences, suggesting an underlying relationship prior to seizure onset. To investigate physicians' practices of documentation learning difficulties during clinical encounters, we conducted a review of initial epileptologist encounter notes from HEP1 participants who self-reported early life learning difficulties separately as part of study enrollment.

METHODS

HEP1 enrolled 67 North American participants between June 2012 and November 2017 who self-reported one or more difficulties with learning (i.e., having repeated grade, receiving learning support/remediation, and/or formal diagnosis of a learning disability) prior to epilepsy diagnosis as part of the study enrollment. The epileptologist's initial encounter note was then reviewed in detail for each of these participants. Documentation of learning issues and specific diagnoses of learning disabilities was compared to participant characteristics. Regression analysis was used to test for any independent associations between participant characteristics and physician documentation of learning difficulties.

RESULTS

There were significant independent relationships between age, sex, and physician documentation of learning difficulties. On average, participants ages 22 and younger were 12.12 times more likely to have their learning difficulties documented compared to those 23 years and older (95 % CI: 2.226 to 66.02, p = 0.004). Additionally, male participants had 7.2 times greater odds of having their learning difficulty documented compared to female participants (95 % CI: 1.538 to 33.717, p = 0.012). There were no significant independent associations between race, language, employment, or geographical region.

SIGNIFICANCE

These findings highlight disparities in physician documentation for people with newly diagnosed focal epilepsy and a history of learning difficulties. In the HEP1 cohort, physicians were more likely to document learning difficulties in males and in younger individuals. Systematic practice standards are important for reducing healthcare disparities across populations, improving clinical care to individuals, as well as enabling more accurate retrospective study of clinical phenomenon.

Codesigned standardised referral form: simplifying the complexity

BACKGROUND

Referring providers are often critiqued for writing poor-quality referrals. This study characterised clinical referral guidelines and forms to understand which data consultant providers require. These data were then used to codesign an evidence-based, high-quality referral form.

METHODS

This study used both observational and quality improvement approaches. Canadian referral guidelines were reviewed and summarised. Referral data fields from 150 randomly selected Ontario referral forms were categorised and counted. The referral guideline summary and referral data were then used by referring providers, consultant providers and administrators to codesign a referral form.

RESULTS

Referral guidelines recommended 42 types of referral data be included in referrals. Referral data were categorised as patient demographics, provider demographics, reason for referral, clinical information and administrative information. The percentage of referral guidelines recommending inclusion of each type of referral data varied from 8% to 77%. Ontario referral forms requested 264 different types of referral data. Digital referral forms requested more referral data types than paper-based referral forms (55.0±10.6 vs 30.5±8.1; 95% CI p<0.01). A codesigned referral form was created across two sessions with 29 and 21 participants in each.

DISCUSSION

Referral guidelines lack consistency and specificity, which makes writing high-quality referrals challenging. Digital referral forms tend to request more referral data than paper-based referrals, which creates administrative burdens for referring and consultant providers. We created the first codesigned referral form with referring providers, consultant providers and administrators. We recommend clinical adoption of this form to improve referral quality and minimise administrative burdens.

Status of MyHealthWay and Suggestions for Widespread Implementation, Emphasizing the Utilization and Practical Use of Personal Medical Data

OBJECTIVES

In the Fourth Industrial Revolution, there is a focus on managing diverse medical data to improve healthcare and prevent disease. The challenges include tracking detailed medical records across multiple institutions and the necessity of linking domestic public medical entities for efficient data sharing. This study explores MyHealthWay, a Korean healthcare platform designed to facilitate the integration and transfer of medical data from various sources, examining its development, importance, and legal implications.

METHODS

To evaluate the management status and utilization of MyHealthWay, we analyzed data types, security, legal issues, domestic versus international issues, and infrastructure. Additionally, we discussed challenges such as resource and infrastructure constraints, regulatory hurdles, and future considerations for data management.

RESULTS

The secure sharing of medical information via MyHealthWay can reduce the distance between patients and healthcare facilities, fostering personalized care and self-management of health. However, this approach faces legal challenges, particularly relating to data standardization and access to personal health information. Legal challenges in data standardization and access, particularly for secondary uses such as research, necessitate improved regulations. There is a crucial need for detailed governmental guidelines and clear data ownership standards at institutional levels.

CONCLUSIONS

This report highlights the role of Korea's MyHealthWay, which was launched in 2023, in transforming healthcare through systematic data integration. Challenges include data privacy and legal complexities, and there is a need for data standardization and individual empowerment in health data management within a systematic medical big data framework.

Impact of the Lightwave Health Information Management Software on the Dimensions of Quality of Healthcare Data

OBJECTIVES

The use of technology in healthcare to manage patient records, guide diagnosis, and make referrals is termed electronic healthcare. An electronic health record system called Lightwave Health Information Management System (LHIMS) was implemented in 2018 at Cape Coast Teaching Hospital (CCTH). This study evaluated the impact of LHIMS on the quality of healthcare data at CCTH, focusing on the extent to which its use has enhanced the main dimensions of data quality.

METHODS

Structured questionnaires were administered to doctors at CCTH to enquire about their opinions about the present state of LHIMS as measured against the parameters of interest in this study, mainly the dimensions of quality healthcare data and the specific issues plaguing the system as reported by respondents.

RESULTS

Most doctors found LHIMS convenient to use, mainly because it made access to patient records easier and had to some extent improved the dimensions of quality healthcare data, except for comprehensiveness, at CCTH. Major challenges that impeded the smooth running of the system were erratic power supply, inadequate logistics and technological drive, and poor internet connectivity.

CONCLUSIONS

LHIMS must be upgraded to include more decision support systems and additional add-ons such as patients' radiological reports, and laboratory results must be readily available on LHIMS to make patient health data more comprehensive.

What is important to the GP in recognizing acute appendicitis in children: a delphi study

BACKGROUND

For diagnostic research on appendicitis in registration data, insight is needed in the way GPs generate medical records. We aimed to reach a consensus on the features that GPs consider important in the consultation and medical records when evaluating a child with suspected appendicitis.

METHODS

We performed a three-round Delphi study among Dutch GPs selected by purposive sampling. An initial feature list was created based on a literature search and features in the relevant Dutch guideline. Finally, using a vignette describing a child who needed later reassessment, we asked participants to complete an online questionnaire about which consultation features should be addressed and recorded.

RESULTS

A literature review and Dutch guideline yielded 95 consultation features. All three rounds were completed by 22 GPs, with the final consensus list containing 26 symptoms, 29 physical assessments and signs, 2 additional tests, and 8 further actions (including safety-netting, i.e., informing the patient about when to contact the GP again). Of these, participants reached consensus that 37 should be actively addressed and that 20 need to be recorded if findings are negative.

CONCLUSIONS

GPs agreed that negative findings do not need to be recorded for most features and that records should include the prognostic and safety-netting advice given. The results have implications in three main domains: for research, that negative findings are likely to be missing; for medicolegal purposes, that documentation cannot be expected to be complete; and for clinical practice, that safety-netting advice should be given and documented.

Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital

OBJECTIVES

In the era of the Fourth Industrial Revolution, where an ecosystem is being developed to enhance the quality of healthcare services by applying information and communication technologies, systematic and sustainable data management is essential for medical institutions. In this study, we assessed the data management status and emerging concerns of three medical institutions, while also examining future directions for seamless data management.

METHODS

To evaluate the data management status, we examined data types, capacities, infrastructure, backup methods, and related organizations. We also discussed challenges, such as resource and infrastructure issues, problems related to government regulations, and considerations for future data management.

RESULTS

Hospitals are grappling with the increasing data storage space and a shortage of management personnel due to costs and project termination, which necessitates countermeasures and support. Data management regulations on the destruction or maintenance of medical records are needed, and institutional consideration for secondary utilization such as long-term treatment or research is required. Government-level guidelines for facilitating hospital data sharing and mobile patient services should be developed. Additionally, hospital executives at the organizational level need to make efforts to facilitate the clinical validation of artificial intelligence software.

CONCLUSIONS

This analysis of the current status and emerging issues of data management reveals potential solutions and sets the stage for future organizational and policy directions. If medical big data is systematically managed, accumulated over time, and strategically monetized, it has the potential to create new value.

Dosages of Swallowing Exercises Prescribed in Stroke Rehabilitation: A Medical Record Audit

This study investigated how swallowing exercise dosage is recorded, and what swallowing exercise dosages are reported in a stroke rehabilitation setting. We additionally explored the relation between mean daily swallowing repetitions and likelihood of improvement in functional swallowing status and considered how swallowing exercise dosages in practice compared to evidence-based principles of neural plasticity and strength training. We audited medical records for 42 patients with post-stroke dysphagia admitted to an inpatient rehabilitation unit over 18 months. Data were collected on participant characteristics, swallowing exercises and dosages, and clinical outcomes. The relation between dosage and outcomes was investigated using logistic regression analysis. On average, patients were seen for a median of 2.4 swallowing intervention sessions per week (IQR: 1.7) over 21 days (IQR: 16) and received a median 44.5 swallowing exercise repetitions per session (IQR: 39.6). Results indicated variable reporting of swallowing exercise dosages. Frequency, intervention duration, exercise type, and number of repetitions were routinely recorded in medical records, while intensity, session length, content, and adherence to home exercise programs were not. Frequency of swallowing intervention was lower in practice compared to research studies, and swallowing exercises did not follow specificity or progressive resistance principles. Likelihood of improvement in swallowing status was partially explained by age (B = -.015, p = .007) but not by mean daily swallowing exercise repetitions. This study illustrates dosages of swallowing exercises used in clinical practice. Results highlight the need for improved consideration and reporting of dosage, and application of evidence-based principles to swallowing exercise dosages.

Translating the Observational Medical Outcomes Partnership - Common Data Model (OMOP-CDM) Electronic Health Records to an OWL Ontology

The heterogeneity of electronic health records model is a major problem: it is necessary to gather data from various models for clinical research, but also for clinical decision support. The Observational Medical Outcomes Partnership - Common Data Model (OMOP-CDM) has emerged as a standard model for structuring health records populated from various other sources. This model is proposed as a relational database schema. However, in the field of decision support, formal ontologies are commonly used. In this paper, we propose a translation of OMOP-CDM into an ontology, and we explore the utility of the semantic web for structuring EHR in a clinical decision support perspective, and the use of the SPARQL language for querying health records. The resulting ontology is available online.

Factors Influencing the Adoption of Advanced Cryptographic Techniques for Data Protection of Patient Medical Records

OBJECTIVES

Healthcare organizations that maintain and process Electronic Medical Records are at risk of cyber-attacks, which can lead to breaches of confidentiality, financial harm, and possible interference with medical care. State-of-the-art methods in cryptography have the potential to offer improved security of medical records; nonetheless, healthcare providers may be reluctant to adopt and implement them. The objectives of this study were to assess current data management and security procedures; to identify attitudes, knowledge, perceived norms, and self-efficacy regarding the adoption of advanced cryptographic techniques; and to offer guidelines that could help policy-makers and data security professionals work together to ensure that patient data are both secure and accessible.

METHODS

We conducted 12 in-depth semi-structured interviews with managers and individuals in key cybersecurity positions within Israeli healthcare organizations. The interviews assessed perceptions of the feasibility and benefits of adopting advanced cryptographic techniques for enhancing data security. Qualitative data analysis was performed using thematic network mapping.

RESULTS

Key data security personnel did not perceive advanced cybersecurity technologies to be a high priority for funding or adoption within their organizations. We identified three major barriers to the adoption of advanced cryptographic technologies for information security: barriers associated with regulators; barriers associated with healthcare providers; and barriers associated with the vendors that develop cybersecurity systems.

CONCLUSIONS

We suggest guidelines that may enhance patient data security within the healthcare system and reduce the risk of future data breaches by facilitating cross-sectoral collaboration within the healthcare ecosystem.

[Medical records at the National Hospital of Iceland: Present status and future prospects]

INTRODUCTION

The aim of the research was to examine the status of medical records at the National Hospital in Iceland. The aim was, furthermore, to examine the policy making regarding records among managers and other employees. A research such as this has not been undertaken previously. It provides new knowledge regarding the systematic management of medical records. The academic value of the research is the discovery of how sensitive records are being managed from a legal standpoint as well as information security. The practical value of the research is that its findings can be used as a status evaluation of ongoing assignments and plans within the National Hospital.

SUBSTANCE

Qualitative research methods were used for the collection and analysis of the data supported by triangulation and grounded theory. Available written material was examined, interviews were conducted, and participant observations took place. Finally, a focus group was formed. Although the conclusions cannot be generalized, they do provide important indications regarding the state of records management, as a level of saturation was reached in the data collection, and it was deemed unlikely that additional data would have added information of significant value.

RESULTS

The findings of the research show that important work has been undertaken to form and implement a policy regarding information and access to records in accordance with law, regulations and international standards. It is obvious that the managers have set themselves ambitious goals in this respect. Moreover, an international certification has been obtained within the health and information technology department regarding information security.

CONCLUSIONS

The main problem seems to be twofold: First, a clarification of the administration and responsibility of health records is needed, and second that the hospital has not succeeded in securing enough funds in order to pursue established policies in an effective manner. It was revealed that top management support needs to be strengthened; training and education need improvement and the awareness of hospital staff of their responsibility regarding the security of medical records must be emphasized.

[Reply to: Early Detection of COVID-19 in Portugal: Use of Clinical Records]

N/a.

Morbidity and Mortality in Patients Undergoing Mitral Valve Replacement at a Cardiovascular Surgery Referral Service: a Retrospective Analysis

Introduction

We aimed to identify predictors of morbidity and mortality in patients undergoing isolated mitral valve replacement.

Methods

This is a retrospective cohort study with 164 patients who underwent isolated mitral valve replacement at a referral hospital for cardiovascular diseases, which were performed from January 2011 to December 2016. Data were obtained from medical records, including preoperative, intraoperative, and postoperative information. Statistical analysis was performed to calculate odds ratio (OR), unpaired Student's t-test, and binary logistic regression. P-values < 0.05 were considered significant.

Results

A total of 69.5% (n=114) of the patients had a diagnosis of rheumatic disease prior to surgery. Mortality rate was 6.7% (n=11). The most observed complication was the occurrence of postoperative arrhythmias (19.5%). On average, patients remained 5.34 days in the intensive care unit. There was a statistically significant enhanced risk of death among patients with previous diagnosis of endocarditis (OR 5.22, 95% confidence interval [CI] 1,368-19,915; P=0.008), reduced ejection fraction (EF) (< 50%) (OR 9.46, 95% CI 2,61-34,35; P<0.001), and mitral regurgitation (MR) (OR 7.7, 95% CI 1.576-37.545; P=0.004). Patients who died were older than those who survived surgery (P<0.001) and had lower preoperative serum hemoglobin levels (P=0.018). Logistic regression showed age and reduced EF at preoperative evaluation as predictors of death.

Conclusion

Older age, reduced serum hemoglobin levels, preoperative diagnosis of endocarditis, reduced EF, and MR were associated with postoperative mortality. Age and reduced EF were predictors of death.

[Development and Implementation of a Patient Registry: The Experience of a Multiple Sclerosis Center in Portugal]

INTRODUCTION

Patient registries allow better evaluations of therapeutic outcomes and support personalized health care in several conditions. This study aimed to implement a local registry in a multiple sclerosis center in Portugal, in order to carry out a critical analysis of its development stages, and to perform an initial analysis of the included patients.

MATERIAL AND METHODS

The establishment of the registry was divided in two phases - development (creation of the online platform for data entry) and implementation (recruitment of patients and retrospective and prospective collection of available information). A demographic and clinical analysis of patients was performed.

RESULTS

Neurologists and study coordinators participated in the project, accounting for a total of 1050 hours of work in the implementation phase. Amongst the 498 multiple sclerosis patients included, 72.9% were female and relapsing-remitting multiple sclerosis was the most common subtype of the disease. The most frequently prescribed drugs at diagnosis were beta interferons. Missing data in electronic health records were detected concerning the progression of disability and diagnostic tests.

DISCUSSION

The difficulties encountered could be mitigated by defining minimum elements to be included in patient records and by implementing more minimalist registries. This could reduce the time spent by healthcare professionals in collecting information, thus optimizing costs, and allowing the focus to be placed on personalized healthcare by taking advantage of the registry and its associated tools.

CONCLUSION

Despite the amount of data collected within the scope of this study, several difficulties affected the implementation and maintenance of the registry, which could be overcome by improving future strategies.

Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology

Background

Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data vulnerable to cyber attacks. Medical records in particular seem to be the regular victims of hackers. Several data breach incidents throughout history have warranted the invention of security measures against these threats. Although various security procedures like firewalls, virtual private networks, encryption, etc are present, a mix of these approaches are required for maximum security in medical image and data sharing.

Methods

Relatively new, blockchain has become an effective tool for safeguarding sensitive information. However, to ensure overall protection of medical data (images), security measures have to be taken at each step, from the beginning, during and even after transmission of medical images which is ensured by zero trust security model. In this research, a number of studies that deal with these two concepts were studied and a decentralized and trustless framework was proposed by combining these two concepts for secured medical data and image transfer and storage.

Results

Research output suggested blockchain technology ensures data integrity by maintaining an audit trail of every transaction while zero trust principles make sure the medical data is encrypted and only authenticated users and devices interact with the network. Thus the proposed model solves a lot of vulnerabilities related to data security.

Conclusions

A system to combat medical/health data vulnerabilities has been proposed. The system makes use of the immutability of blockchain, the additional security of zero trust principles, and the scalability of off chain data storage using Inter Planetary File Systems (IPFS). The adoption of this system suggests to enhance the security of medical or health data transmission.

Healthcare-Associated Infections in a Cardiac Surgery Service in Brazil

Objectives

The study aimed to determine the incidence of healthcare-associated infections (HAI) and their sites in a cardiac surgery service, as well as to determine if gender and age were risk factors for infection and to quantify mortality and increase in the hospital length of stay (LOS) due to HAI.

Methods

Medical records of patients who underwent cardiac surgery from January 2012 to January 2018 were retrospectively analyzed. Data on age, gender, mortality, occurrence of HAI during hospitalization, and LOS were collected. Continuous variables were analyzed using Student's t-test, while categorical variables were compared using Fisher's exact test or chi-square test.

Results

Among the 195 patients available, the HAI rate in our service was 22.6%, with female gender being a risk factor for infections (odds ratio [OR]=2.23; P=0.015). Age was also a significant risk factor for infections, with a difference in the mean age between the group with and without infection (P=0.02). The occurrence of an infectious process increased the LOS in 14 days (P<0.001) and resulted in higher mortality rates (P=0.112). A patient who has HAI was approximately 19 times more likely to remain hospitalized for more than nine days (P<0.001).

Conclusion

Age and gender were risk factors for the development of HAI and the occurrence of an infectious process during hospitalization significantly increases the LOS. These findings may guide future actions aimed at reducing the impact of HAI on the health system.

Adverse Drug Reactions in Patients with CKD

BACKGROUND AND OBJECTIVES

Little is known about the burden of adverse drug reactions in CKD. We estimated the incidence of overall and serious adverse drug reactions and assessed the probability of causation, preventability, and factors associated with adverse drug reactions in patients seen by nephrologists.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

The Chronic Kidney Disease-Renal Epidemiology and Information Network cohort included 3033 outpatients (65% men) with CKD and eGFR<60 ml/min per 1.73 m², with follow-up for 2 years. Adverse drug reactions were identified from hospitalization reports, medical records, and participant interviews and finally assessed for causality, preventability, and immediate therapeutic management by experts in pharmacology.

RESULTS

Median (interquartile range) age was 69 (60-76) years old; 55% had eGFR≥30 ml/min per 1.73 m², and 45% had eGFR<30 ml/min per 1.73 m². Participants were prescribed a median (range) of eight (five to ten) drugs. Over 2 years, 536 patients had 751 adverse drug reactions, 150 (in 125 participants) classified as serious, for rates of 14.4 (95% confidence interval, 12.6 to 16.5) and 2.7 (95% confidence interval, 1.7 to 4.3) per 100 person-years, respectively. Among the serious adverse drug reactions, 32% were considered preventable or potentially preventable; 16 caused death, directly or indirectly. Renin-angiotensin system inhibitors (15%), antithrombotic agents (14%), and diuretics (10%) were the drugs to which the most adverse drug reactions were imputed, but antithrombotic agents caused 34% of serious adverse drug reactions. The drug was discontinued in 71% of cases, at least temporarily. Adjusted hazard ratios for serious adverse drug reaction were significantly higher in patients with eGFR<30 versus ≥30 ml/min per 1.73 m² (1.8; 95% confidence interval, 1.3 to 2.6), in those prescribed more than ten versus less than five medications (2.4; 95% confidence interval, 1.1 to 5.2), or in those with poor versus good adherence (1.6; 95% confidence interval, 1.4 to 2.4).

CONCLUSIONS

Adverse drug reactions are common and sometimes serious in patients with CKD. Many serious adverse drug reactions may be preventable. Some specific pharmacologic classes, particularly antithrombotic agents, are at risk of serious adverse drug reactions.

CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER

Chronic Kidney Disease-Renal Epidemiology and Information Network (CKD-REIN), NCT03381950.

[The New General Data Protection Regulation and Its Implications Regarding Clinical Information Requests to Healthcare Professionals]

N/a.

Long-Term Assessment of Left Ventricular Ejection Fraction and Mitral Regurgitation Following Takeuchi Repair

OBJECTIVE

This study aimed to evaluate the early operative outcomes and to compare the left ventricle and mitral valve functions after initial Takeuchi repair in patients with anomalous left coronary arising from pulmonary artery (ALCAPA).

METHODS

Fourteen patients (5 males, 9 females; mean age 4.3 years, ranging from 25 days to 34 years) who were operated for ALCAPA between 2007 and 2018 were included in this study. Data were evaluated retrospectively based on our medical records.

RESULTS

Hospital mortality rate was 7.1% (n=1). Thirteen surviving patients were kept in follow-up mean 4.3±3.05 years. When compared to preoperative measurements, both left ventricular ejection fraction (LVEF), (P=0.007) and mitral regurgitation (MR) (P=0.001) significantly improved before discharge. Moreover, LVEF values were improved in the late follow-up, considering early postoperative outcomes, and this alteration was significant (P=0.014). Nevertheless, alteration in the degree of MR among patients did not differ in the long-term follow-up (P=0.180). There was no late-term mortality or need for reoperation among patients.

CONCLUSION

Although some centers prefer to direct implantation in ALCAPA, Takeuchi procedure can be accepted as a reliable method that provides satisfactory long-term results, considering that it aids to improve left ventricle ejection fraction and reduced mitral valve regurgitation.

AdhereR: An Open Science Approach to Estimating Adherence to Medications Using Electronic Healthcare Databases

Adherence to medications is a key performance indicator and behavioral outcome in healthcare. Electronic healthcare databases represent rich data sources for estimating adherence in both research and practice. To build a solid evidence base for adherence management across clinical settings, it is necessary to standardize adherence estimation and facilitate its appropriate use. We present the recent development and oportunities offered by AdhereR, an R package for visualisation of medication histories and computation of adherence.

Analysis for the Annual Text Amount of Electronic Medical Records

The amount of text of electronic medical records and its changes over time are not clear. In designing an electronic medical records system, prediction of the amount of text is important. We analyzed the number of characters described in the electronic medical records. As a result, it became clear that the annual text quantity of electronic medical records follows the lognormal distribution, and also the amount has been increasing year by year.

AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues

We present AutoScribe, a system for automatically extracting pertinent medical information from dialogues between clinicians and patients. AutoScribe parses the dialogue and extracts entities such as medications and symptoms, using context to predict which entities are relevant, and automatically generates a patient note and primary diagnosis.

Evaluating the Contextual Integrity of Australia's My Health Record

My Health Record (MyHR) is Australia's national personally-controlled electronic health record. Initially established in 2012, it moved from an opt-in to an opt-out system in 2018. This paper considers the privacy aspects of MyHR shared health summary. Drawing on Nissenbaum's theory of privacy as contextual integrity, we argue that the shift in the event-specific nature of information sharing leads to MyHR breaching contextual integrity. As per Nissenbaum's decision heuristic for contextual integrity, we evaluate this breach through a reflection on the changing nature of health care, including patient empowerment, and the greater complexity of care. It is evident that more needs to be known about the benefits of shared health summaries, as well as the actual use of MyHR by clinicians and patients. Though we focus on MyHR, this evaluation has broader applicability to other national electronic health records and electronic shared health summaries.