Factors impacting clinical data and documentation quality in Australian aged care and disability services: a user-centred perspective.

BACKGROUND: Research has highlighted a need to improve the quality of clinical documentation and data within aged care and disability services in Australia to support improved regulatory reporting and ensure quality and safety of services. However, the specific causes of data quality issues within aged care and disability services and solutions for optimisation are not well understood. OBJECTIVES: This study explored aged care and disability workforce (referred to as 'data-users') experiences and perceived root causes of clinical data quality issues at a large aged care and disability services provider in Western Australia, to inform optimisation solutions. METHODS: A purposive sample of n = 135 aged care and disability staff (including community-based and residential-based) in clinical, care, administrative and/or management roles participated in semi-structured interviews and web-based surveys. Data were analysed using an inductive thematic analysis method, where themes and subthemes were derived. RESULTS: Eight overarching causes of data and documentation quality issues were identified: (1) staff-related challenges, (2) education and training, (3) external barriers, (4) operational guidelines and procedures, (5) organisational practices and culture, (6) technological infrastructure, (7) systems design limitations, and (8) systems configuration-related challenges. CONCLUSION: The quality of clinical data and documentation within aged care and disability services is influenced by a complex interplay of internal and external factors. Coordinated and collaborative effort is required between service providers and the wider sector to identify behavioural and technical optimisation solutions to support safe and high-quality care and improved regulatory reporting.

Documentation of a novel FBP1 gene mutation in the Arabian ethnicity: a case report.

BACKGROUND: Fructose-1,6-bisphosphatase deficiency is a rare autosomal recessive disorder characterized by impaired gluconeogenesis. Fructose-1,6-bisphosphatase 1 (FBP1) mutations demonstrate ethnic patterns. For instance, Turkish populations commonly harbor exon 2 deletions. We present a case report of whole exon 2 deletion in a Syrian Arabian child as the first recording of this mutation among Arabian ethnicity and the first report of FBP1 gene mutation in Syria. CASE PRESENTATION: We present the case of a 2.5-year-old Syrian Arab child with recurrent hypoglycemic episodes, accompanied by nausea and lethargy. The patient's history, physical examination, and laboratory findings raised suspicion of fructose-1,6-bisphosphatase deficiency. Whole exome sequencing was performed, revealing a homozygous deletion of exon 2 in the FBP1 gene, confirming the diagnosis. CONCLUSION: This case highlights a potential novel mutation in the Arab population; this mutation is well described in the Turkish population, which suggests potential shared mutations due to ancestral relationships between the two ethnicities. Further studies are needed to confirm this finding.

Workload reduction through automated documentation in intensive and intermediate care - a monocentric observational study.

OBJECTIVE: The global coronavirus pandemic has placed an unprecedented and enormous burden on health systems worldwide. In addition to a shortage of resources, nurses were also confronted with high levels of sick leave and an increasing exodus from the profession. Automating documentation obligations is an effective way of reducing the burden on the workplace. PATIENTS AND METHODS: The study was conducted at a tertiary university hospital. The time required for the manual documentation of administered medication and dose changes of syringe and infusion pumps was recorded using the patient data management system (PDMS) representing all intensive and intermediate care wards (n = 6). Subsequently, all medication administration - grouped into five classes - was evaluated from January 1st, 2019, until December 31st, 2022. RESULTS: A total of 1,373,340 drug applications were studied, treating 32,499 patients. Data were obtained from ICUs (68%) and IMC wards (32%). This corresponds to an overall time of 2,901 ± 233 hours per year. Based on publicly known national rates for intensive care nurses, an annual financial expenditure of approximately 83,300 € (~ USD 89,300) per year was estimated. CONCLUSIONS: A non-negligible part of the daily working time in the medical sector is spent on documentation duties. This aggravates the high workload, which has increased in recent years. Automated documentation systems can lead to considerable relief and the possibility of focusing primarily on the patient and on other core competencies and activities. This is even more important, as available staff will be a key resource in patient care for the foreseeable future.

Who supports Bernie? Analyzing identity and ideological variation on Twitter during the 2020 democratic primaries.

Using a novel dataset of 590M messages by 21M users, we present the first large-scale examination of the behavior of likely Bernie supporters on Twitter during the 2020 U.S. Democratic primaries and presidential election. We use these data to dispel empirically the notion of a unified, stereotypical Bernie supporter (e.g., the "Bernie Bro"). Instead, our work uncovers significant variation in the identities and ideologies of Bernie supporters who were active on Twitter. Our work makes three contributions to the literature on social media and social movements. Methodologically, we present a novel mixed methods approach to surface identity and ideological variation within a movement via use of patterns in who retweets whom (i.e. who retweets which other users) and who retweets what (i.e. who retweets which specific tweets). Substantively, documentation of these variations challenges a trend in the social movement literature to assume actors within a particular movement are unified in their ideology, identity, and values.

Appropriateness of the Emergency Referrals Made by Primary Care Clinicians: A cross-sectional review of referral notes.

Objectives: This study aimed to evaluate the appropriateness of the emergency referrals made by primary care clinicians and determine the factors contributing to inappropriate referrals. Methods: This cross-sectional study utilises referral notes review between October 2019 and March 2020. Patients referred to Khawla Hospital's emergency department by a primary care clinician in Muscat Governorate were randomly selected; their referral notes were reviewed by five family physicians. The appropriateness of the referrals was evaluated according to the primary care referral protocol. Any referral that deviated from the protocol was classified as inappropriate. The prevalence and characteristics of inappropriate referrals were identified, and the factors contributing to inappropriate referral were determined using multivariable logistic regression. Results: In total, 591 referrals were reviewed; 354 (59.9%) of them were classified as inappropriate due to inadequate medical notes (291, 82.2%), lack of provisional diagnosis (176, 49.7%), misdirected to a non-concerned emergency (30, 8.4%) or misclassification of urgency (107 [30.2%] were classified as urgent and 45 [12.7%] as routine). After adjusting for multiple variables, insufficient clinical notes, unavailability of referral guidelines and lack of expertise were found to be strong determinants of inappropriate referral, with an odds ratio of 62.52 (95% confidence interval [CI]: 32.04-121.96), 2.88 (95% CI: 1.40-5.92) and 9.37 (95% CI: 4.09-21.43), respectively. Conclusion: While most of the referrals required emergency management, the majority were inappropriate, mainly due to insufficient clinical documentation. Inadequate clinical notes and lack of national guidelines and expertise were found to be strong predictors of inappropriate emergency referrals.

KaMRaT: a C++ toolkit for k-mer count matrix dimension reduction.

MOTIVATION: KaMRaT is designed for processing large k-mer count tables derived from multi-sample, RNA-seq data. Its primary objective is to identify condition-specific or differentially expressed sequences, regardless of gene or transcript annotation. RESULTS: KaMRaT is implemented in C++. Major functions include scoring k-mers based on count statistics, merging overlapping k-mers into contigs and selecting k-mers based on their occurrence across specific samples. AVAILABILITY AND IMPLEMENTATION: Source code and documentation are available via https://github.com/Transipedia/KaMRaT.

Detecting goals of care conversations in clinical notes with active learning.

OBJECTIVE: Goals of care (GOC) discussions are an increasingly used quality metric in serious illness care and research. Wide variation in documentation practices within the Electronic Health Record (EHR) presents challenges for reliable measurement of GOC discussions. Novel natural language processing approaches are needed to capture GOC discussions documented in real-world samples of seriously ill hospitalized patients' EHR notes, a corpus with a very low event prevalence. METHODS: To automatically detect sentences documenting GOC discussions outside of dedicated GOC note types, we proposed an ensemble of classifiers aggregating the predictions of rule-based, feature-based, and three transformers-based classifiers. We trained our classifier on 600 manually annotated EHR notes among patients with serious illnesses. Our corpus exhibited an extremely imbalanced ratio between sentences discussing GOC and sentences that do not. This ratio challenges standard supervision methods to train a classifier. Therefore, we trained our classifier with active learning. RESULTS: Using active learning, we reduced the annotation cost to fine-tune our ensemble by 70% while improving its performance in our test set of 176 EHR notes, with 0.557 F1-score for sentence classification and 0.629 for note classification. CONCLUSION: When classifying notes, with a true positive rate of 72% (13/18) and false positive rate of 8% (13/158), our performance may be sufficient for deploying our classifier in the EHR to facilitate bedside clinicians' access to GOC conversations documented outside of dedicated notes types, without overburdening clinicians with false positives. Improvements are needed before using it to enrich trial populations or as an outcome measure.

Improving Documentation of Firearm Access During Pediatric Emergency Visits for Suicidal Ideation.

BACKGROUND AND OBJECTIVES: Approximately half of youth suicides involve firearms. The promotion of safe firearm storage in the home through lethal means counseling reduces suicide risk. We aimed to increase the documentation of firearm access and storage among children presenting to the emergency department (ED) with suicidal ideation or self-injury to 80% within 13 months. METHODS: We conducted a multidisciplinary quality improvement initiative to improve the documentation of firearm access and storage among children <18 years old seen in the ED for suicidal ideation or self-injury. The baseline period was February 2020 to September 2021, and interventions occurred through October 2022. Interventions included adding a templated phrase about firearm access to psychiatric social work consult notes and the subsequent modification of the note to include all firearm storage elements (ie, locked, unloaded, separate from ammunition). Statistical process control and run charts were generated monthly to monitor the documentation of firearm access and storage, which was measured through a review of keyword snippets extracted from note text. RESULTS: We identified 2158 ED encounters for suicidal ideation or self-injury during the baseline and intervention periods. Documentation of firearm access increased from 37.8% to 81.6%, resulting in a centerline shift. Among families who endorsed firearm access, the documentation of firearm storage practices increased from 50.0% to 78.0%, resulting in a centerline shift. CONCLUSIONS: The modification of note templates facilitated increased documentation of firearm access and storage practices for children with suicidal ideation in the ED. Future studies should assess whether improved documentation is associated with improved storage practices and reductions in firearm suicides after ED encounters.

Integrating physics in deep learning algorithms: a force field as a PyTorch module.

MOTIVATION: Deep learning algorithms applied to structural biology often struggle to converge to meaningful solutions when limited data is available, since they are required to learn complex physical rules from examples. State-of-the-art force-fields, however, cannot interface with deep learning algorithms due to their implementation. RESULTS: We present MadraX, a forcefield implemented as a differentiable PyTorch module, able to interact with deep learning algorithms in an end-to-end fashion. AVAILABILITY AND IMPLEMENTATION: MadraX documentation, together with tutorials and installation guide, is available at madrax.readthedocs.io.

Management and documentation of pneumonia - a comparison of patients consulting primary care and emergency care.

OBJECTIVE: To compare management and documentation of vital signs, symptoms and infection severity in pneumonia patients seeking primary care and emergency care without referral. DESIGN: Medical record review of vital signs, examination findings and severity of pneumonia. SETTING: Primary and emergency care. SUBJECTS: Two hundred and forty patients diagnosed with pneumonia. MAIN OUTCOME MEASURES: Vital signs, examination findings and severity of pneumonia. Assessments of pneumonia severity according to the reviewers, the traffic light score and CRB-65. RESULTS: Respiratory rate, blood pressure, heart rate and oxygen saturation were less often documented in primary care (p < .001). Chest X-ray was performed in 5% of primary care patients vs. 88% of emergency care patients (p < .01). Primary care patients had longer symptom duration, higher oxygen saturation and lower respiratory rate. In total, the reviewers assessed 63% of all pneumonias as mild and 9% as severe. The traffic light scoring model identified 11 patients (9%) in primary care and 53 patients (44%) in emergency care at high risk of severe infection. CONCLUSIONS: Vital signs were documented less often in primary care than in emergency care. Patients in primary care appear to have a less severe pneumonia, indicating attendance to the correct care level. The traffic light scoring model identified more patients at risk of severe infection than CRB-65, where the parameters were documented to a limited extent.

Pneumonia patients attending primary care have less affected vital signs than those attending emergency care.Vital signs were less documented in primary care than in emergency care.Patients with pneumonia seem to attend the correct level of care when they have the possibility to choose without a referral.CRB-65 was not possible to count in most primary care patients due to lack of documentation.

Improving the Accuracy of Code Status Documentation in Home Care.

Advance care planning discussions require specialized skills to elicit goals and preferences from patients contending with life-limiting illness. Documentation forms which include Health Care Proxies, Medical Orders for Life Sustaining Treatments, or Physician Orders for Life Sustaining Treatments are meant to accompany patients through every transition of care. However, they are often forgotten between the hospital and the home setting. Home care clinicians have the obligation to ensure all providers involved in the patient's care are made aware of their code status and goals of care. Consequently, home care clinicians need education about advance care planning to support patients in achieving their care goals as they transition from hospital to home. This quality improvement project implemented three consecutive interventions including reminding clinicians to review code status orders, applying short educational interventions at daily nursing huddles via email, and finally, administering primary palliative education classes for home care clinicians. The purpose was to guide home care nurses in reviewing and reaffirming code status orders and advance care documentation at the initiation of the home care episode and to improve the consistency and accuracy of code status documentation at the transition of care. After implementing the interventions to improve code status documentation, compliance improved from 8% to 100% in a 10-month period.

Electronic Documentation of Intraoperative Observation of Cystoscopic Procedures Using the cMDX Information System.

PURPOSE: Accurate documentation of lesions during transurethral resection of bladder tumors (TURBT) is essential for precise diagnosis, treatment planning, and follow-up care. However, optimizing schematic documentation techniques for bladder lesions has received limited attention. MATERIALS AND METHODS: This prospective observational study used a cMDX-based documentation system that facilitates graphical representation, a lesion-specific questionnaire, and heatmap analysis with a posterization effect. We designed a graphical scheme for bladder covering bladder landmarks to visualize anatomic features and to document the lesion location. The lesion-specific questionnaire was integrated for comprehensive lesion characterization. Finally, spatial analyses were applied to investigate the anatomic distribution patterns of bladder lesions. RESULTS: A total of 97 TURBT cases conducted between 2021 and 2023 were included, identifying 176 lesions. The lesions were distributed in different bladder areas with varying frequencies. The distribution pattern, sorted by frequency, was observed in the following areas: posterior, trigone, lateral right and anterior, and lateral left and dome. Suspicious levels were assigned to the lesions, mostly categorized either as indeterminate or moderate. Lesion size analysis revealed that most lesions fell between 5 and 29 mm. CONCLUSION: The study highlights the potential of schematic documentation techniques for informed decision making, quality assessment, primary research, and secondary data utilization of intraoperative data in the context of TURBT. Integrating cMDX and heatmap analysis provides valuable insights into lesion distribution and characteristics.

Explaining Variability in Electronic Health Record Effort in Primary Care Ambulatory Encounters.

BACKGROUND: Electronic health record (EHR) user interface event logs are fast providing another perspective on the value and efficiency EHR technology brings to health care. Analysis of these detailed usage data has demonstrated their potential to identify EHR and clinical process design factors related to user efficiency, satisfaction, and burnout. OBJECTIVE: This study aimed to analyze the event log data across 26 different health systems to determine the variability of use of a single vendor's EHR based on four event log metrics, at the individual, practice group, and health system levels. METHODS: We obtained de-identified event log data recorded from June 1, 2018, to May 31, 2019, from 26 health systems' primary care physicians. We estimated the variability in total Active EHR Time, Documentation Time, Chart Review Time, and Ordering Time across health systems, practice groups, and individual physicians. RESULTS: In total, 5,444 physicians (Family Medicine: 3,042 and Internal Medicine: 2,422) provided care in a total of 2,285 different practices nested in 26 health systems. Health systems explain 1.29, 3.55, 3.45, and 3.30% of the total variability in Active Time, Documentation Time, Chart Review Time, and Ordering Time, respectively. Practice-level variability was estimated to be 7.96, 13.52, 8.39, and 5.57%, respectively, and individual physicians explained the largest proportion of the variability for those same outcomes 17.09, 27.49, 17.51, and 19.75%, respectively. CONCLUSION: The most variable physician EHR usage patterns occurs at the individual physician level and decreases as you move up to the practice and health system levels. This suggests that interventions to improve individual users' EHR usage efficiency may have the most potential impact compared with those directed at health system or practice levels.

A Patient-Centered Documentation Skills Curriculum for Preclerkship Medical Students in an Open Notes Era.

Introduction: New legislation allows patients (with permitted exceptions) to read their clinical notes, leading to both benefits and ethical dilemmas. Medical students need a robust curriculum to learn documentation skills within this challenging context. We aimed to teach note-writing skills through a patient-centered lens with special consideration for the impact on patients and providers. We developed this session for first-year medical students within their foundational clinical skills course to place bias-free language at the forefront of how they learn to construct a medical note. Methods: One hundred seventy-three first-year medical and dental students participated in this curriculum. They completed an asynchronous presession module first, followed by a 2-hour synchronous workshop including a didactic, student-led discussion and sample patient note exercise. Students were subsequently responsible throughout the year for constructing patient-centered notes, graded by faculty with a newly developed rubric and checklist of best practices. Results: On postworkshop surveys, learners reported increased preparedness in their ability to document in a patient-centered manner (presession M = 2.2, midyear M = 3.9, p < .001), as rated on a 5-point Likert scale (1 = not prepared at all, 5 = very prepared), and also found this topic valuable to learn early in their training. Discussion: This curriculum utilizes a multipart approach to prepare learners to employ clinical notes to communicate with patients and providers, with special attention to how patients and their care partners receive a note. Future directions include expanding the curriculum to higher levels of learning and validating the developed materials.

What Should Students and Trainees Learn About Patient-Centered Documentation?

What clinicians document about patients can have important consequences for those patients. Paternalistic language in patients' health records is of specific ethical concern because it emphasizes clinicians' power and patients' vulnerabilities and can be demeaning and traumatizing. This article considers the importance of person-centered, trauma-informed language in clinical documentation and suggests strategies for teaching students and trainees documentation practices that express clinical neutrality and respect.

Documentation of comorbidities, lifestyle factors, and asthma management during primary care scheduled asthma contacts.

Systematically assessing asthma during follow-up contacts is important to accomplish comprehensive treatment. No previous long-term studies exist on how comorbidities, lifestyle factors, and asthma management details are documented in scheduled asthma contacts in primary health care (PHC). We showed comorbidities and lifestyle factors were poorly documented in PHC in this real-life, 12-year, follow-up study. Documented information on rhinitis was found in 8.9% and BMI, overweight, or obesity in ≤1.5% of the 542 scheduled asthma contacts. Of the 145 patients with scheduled asthma contacts, 6.9% had undergone revision of their inhalation technique; 16.6% had documentation of their asthma action plan. Screening of respiratory symptoms was recorded in 79% but nasal symptoms in only 15.5% of contacts. Lifestyle guidance interventions were found in <1% of contacts. These results, based on documented patient data, indicate a need exists to further improve the assessment and guidance of asthma patients in PHC.

Interprofessional collaboration in the home care setting: perspectives of people receiving home care, relatives, nurses, general practitioners, and therapists-results of a qualitative analysis.

BACKGROUND: About one million people in need of home care in Germany are assisted by 15,400 home care services. Home healthcare is mostly a complex endeavour because interprofessional collaboration is often challenging. This might negatively impact patient safety. The project interprof HOME aims to develop an interprofessional person-centred care concept for people receiving home care in a multistep approach. In one of the work packages we explored how people receiving home care, relatives, nurses, general practitioners, and therapists (physiotherapists, occupational therapists, and speech therapists) perceive collaboration in this setting. METHODS: Semi-structured interviews were conducted with 20 people receiving home care and with 21 relatives. Additionally, we worked with nine monoprofessional focus groups involving nurses of home care services (n = 17), general practitioners (n = 14), and therapists (n = 21). The data were analysed by content analysis. RESULTS: Three main categories evolved: "perception of interprofessional collaboration", "means of communication", and "barriers and facilitators". People receiving home care and relatives often perceive little to no interprofessional collaboration and take over a significant part of the organisational coordination and information exchange. Interprofessional collaboration in steady care situations does exist at times and mostly occurs in coordination tasks. Contact and information exchange are rare, however, interprofessional personal encounters are sporadic, and fixed agreements and permanent contact persons are not standard. These trends increase with the complexity of the healthcare situation. Joint collaborations are often perceived as highly beneficial. Means of communications such as telephone, fax, or e-mail are used differently and are often considered tedious and time-consuming. No interprofessional formal written or electronic documentation system exists. Personal acquaintance and mutual trust are perceived as being beneficial, while a lack of mutual availability, limited time, and inadequate compensation hinder interprofessional collaboration. CONCLUSIONS: Interprofessional collaboration in home care occurs irregularly, and coordination often remains with people receiving home care or relatives. While this individual care set-up may work sufficiently well in low complex care situations, it becomes vulnerable to disruptions with increasing complexity. Close interactions, joint collaboration, and fixed means of communication might improve healthcare at home. The findings were integrated into the development of the person-centred interprofessional care concept interprof HOME. TRIAL REGISTRATION: This study is registered on the International Clinical Trails registry platform ClinicalTrials.gov as NCT05149937 on 03/11/2021.

Cohen syndrome combined with psychiatric symptoms: a case report.

BACKGROUND: Cohen syndrome (CS) is a rare autosomal recessive inherited condition characterized by pathological changes affecting multiple systems. The extensive clinical variability associated with CS poses a significant diagnostic challenge. Additionally, there is limited documentation on the co-occurrence of CS with psychiatric symptoms. CASE REPORT: We report a case of a 30-year-old patient exhibiting characteristic physical features and psychiatric symptoms. Whole exome sequencing identified two heterozygous variants, a nonsense variation c.4336 C > T and a missense mutation c.4729G > A. Integrating clinical manifestations with genetic test results, we established the diagnosis of CS combined with psychiatric symptoms. CONCLUSIONS: This case introduces a novel missense variant as a candidate in the expanding array of VPS13B pathogenic variants. Its clinical significance remains unknown, and further investigation may broaden the spectrum of pathogenic variants associated with the VPS13B gene. Early diagnosis of CS is crucial for the prognosis of young children and holds significant importance for their families.

Visual acuity prediction on real-life patient data using a machine learning based multistage system.

In ophthalmology, intravitreal operative medication therapy (IVOM) is a widespread treatment for diseases related to the age-related macular degeneration (AMD), the diabetic macular edema, as well as the retinal vein occlusion. However, in real-world settings, patients often suffer from loss of vision on time scales of years despite therapy, whereas the prediction of the visual acuity (VA) and the earliest possible detection of deterioration under real-life conditions is challenging due to heterogeneous and incomplete data. In this contribution, we present a workflow for the development of a research-compatible data corpus fusing different IT systems of the department of ophthalmology of a German maximum care hospital. The extensive data corpus allows predictive statements of the expected progression of a patient and his or her VA in each of the three diseases. For the disease AMD, we found out a significant deterioration of the visual acuity over time. Within our proposed multistage system, we subsequently classify the VA progression into the three groups of therapy "winners", "stabilizers", and "losers" (WSL classification scheme). Our OCT biomarker classification using an ensemble of deep neural networks results in a classification accuracy (F1-score) of over 98%, enabling us to complete incomplete OCT documentations while allowing us to exploit them for a more precise VA modelling process. Our VA prediction requires at least four VA examinations and optionally OCT biomarkers from the same time period to predict the VA progression within a forecasted time frame, whereas our prediction is currently restricted to IVOM/no therapy. We achieve a final prediction accuracy of 69% in macro average F1-score, while being in the same range as the ophthalmologists with 57.8 and 50 ± 10.7 % F1-score.