BACKGROUND: Intraoperative neurophysiological monitoring (IOM) plays a pivotal role in enhancing patient safety during neurosurgical procedures. This vital technique involves the continuous measurement of evoked potentials to provide early warnings and ensure the preservation of critical neural structures. One of the primary challenges has been the effective documentation of IOM events with semantically enriched characterizations. This study aimed to address this challenge by developing an ontology-based tool.
METHODS: We structured the development of the IOM Documentation Ontology (IOMDO) and the associated tool into three distinct phases. The initial phase focused on the ontology\'s creation, drawing from the OBO (Open Biological and Biomedical Ontology) principles. The subsequent phase involved agile software development, a flexible approach to encapsulate the diverse requirements and swiftly produce a prototype. The last phase entailed practical evaluation within real-world documentation settings. This crucial stage enabled us to gather firsthand insights, assessing the tool\'s functionality and efficacy. The observations made during this phase formed the basis for essential adjustments to ensure the tool\'s productive utilization.
RESULTS: The core entities of the ontology revolve around central aspects of IOM, including measurements characterized by timestamp, type, values, and location. Concepts and terms of several ontologies were integrated into IOMDO, e.g., the Foundation Model of Anatomy (FMA), the Human Phenotype Ontology (HPO) and the ontology for surgical process models (OntoSPM) related to general surgical terms. The software tool developed for extending the ontology and the associated knowledge base was built with JavaFX for the user-friendly frontend and Apache Jena for the robust backend. The tool\'s evaluation involved test users who unanimously found the interface accessible and usable, even for those without extensive technical expertise.
CONCLUSIONS: Through the establishment of a structured and standardized framework for characterizing IOM events, our ontology-based tool holds the potential to enhance the quality of documentation, benefiting patient care by improving the foundation for informed decision-making. Furthermore, researchers can leverage the semantically enriched data to identify trends, patterns, and areas for surgical practice enhancement. To optimize documentation through ontology-based approaches, it\'s crucial to address potential modeling issues that are associated with the Ontology of Adverse Events.

In New York State, the Health Care Proxy Law allows patients to designate a person they trust to make medical decisions on their behalf should they lose the capacity to do so. In an Intensive Care Unit (ICU) setting, identification of a health care proxy (HCP) is especially important as patients are at heightened risk of losing decision-making capacity during their clinical course. While our hospital has guidelines to solicit and correctly document the patient\'s HCP information, it is not routinely done. Missing or incomplete HCP documentation is a prevalent issue, with lack of patient education, physical document issues, and time and workflow constraints commonly cited as barriers. We describe the implementation of a small-scale quality improvement project to increase the percentage of completed HCP documentation in our ICU through multi-faceted interventions targeting education, workflow, access, and technology.

BACKGROUND: The current UK standard for major trauma patients is to record notes in a paper trauma booklet. Through an innovative collaboration between a major trauma centre and a digital transformation industry partner, a TraumaApp was developed. Electronic notes have been shown to have fewer errors, granular data collection and enable time stamped contemporaneous record keeping. Implementation of digital clinical records presents a challenge within the context of trauma multidisciplinary trauma resuscitation. Data can be easily accessible and shared for quality improvement, audit and research purposes. This study compared paper and electronic notes for completeness and for acceptability data following the implementation of the TraumaApp.
METHODS: Trauma team members who performed scribe function attended training for the newly launched TraumaApp. Two staff members acted as scribe, using either the paper trauma booklet or TraumaApp, and attended major trauma calls. A framework for comparison of paper and electronic notes was created and used for a retrospective review of major trauma patients\' notes. Statistical analysis was performed using a two-tailed t-test. Staff using the TraumaApp completed a System Usability Score questionnaire.
RESULTS: There was a total of 37 data points for collection per case. The mean numbers collected were paper notes 24.1 of 37 (65.1%) and electronic notes, 25.7 of 37 (69.5%). There was no statistical significance between the completeness of paper and electronic notes. The mean System Usability Score was 68.4.
CONCLUSIONS: Recording accurate patient information during a major trauma call can be challenging and the role of the scribe to accurately record events is critical for immediate and future care. There was no statistically significant difference in completeness of paper and electronic notes, however the mean System Usability Score was 68.4, which is greater than the internationally validated standard of acceptable usability.
CONCLUSIONS: It is feasible to introduce digital data collection tools enabling accurate record keeping during trauma resuscitation and improve information sharing between clinicians.

BACKGROUND: People with dementia are less in focus of palliative care research than other patient groups even though the awareness of their palliative and end-of-life care needs is rising. Empirical data analyses on people with dementia in palliative care services are lacking.
OBJECTIVE: To explore the prevalence of dementia diagnoses as per the ICD criteria among users of various palliative care settings and to compare use of palliative services, care pathways, and outcomes in people with and without a dementia diagnosis.
METHODS: We conducted retrospective analysis of dementia diagnoses as per ICD (F00-F03/G30) in the German National Hospice and Palliative Care Register between 2009 and 2021. The analysis used methods of descriptive and inferential statistics, including the Bonferroni correction for alpha error inflation.
METHODS: We limited the analysis to the subsample of people aged over 64.
RESULTS: The prevalence of dementia in the different settings of palliative care was lower than in the age-comparable population: Of the 69,116 data sets included in the analysis, a small minority (3.3%) was coded with dementia as the principal diagnosis. Among patients on inpatient palliative care wards, 0.8% (148 of 19,161) had a dementia diagnosis, as did 2.2% (52 of 2,380) of those under hospital palliative care support teams and 4.3% (2,014 of 46,803) of those receiving specialized palliative care at home.
CONCLUSIONS: The records of the German National Hospice and Palliative Care Register suggest that the prevalence of dementia is lower than one might expect from general population data, though numbers are in line with international studies on proportion of dementia patients receiving palliative care. Future research could usefully examine whether this discrepancy stems either from omissions in coding dementia as patients\' principal diagnosis respectively from lapses in documentation of a dementia diagnosis previously made, or from barriers to accessing palliative care services or even displays being excluded from palliative care when trying to access it.
BACKGROUND: No registration.

OBJECTIVE: The Minimal Documentation System (MIDOS2) is recommended as a systematic screening tool for assessing symptom burden and patient needs in advanced cancer patients. Given the absence of an optimal weighting of individual symptoms and a corresponding cut-off value, this study aims to determine a threshold based on inpatient\'s subjective need for palliative support. Additionally, we investigate the correlation between symptom burden and subjective need for palliative support collected through a patient-reported outcome measure (PROM) with survival duration of less or more than one year.
METHODS: Inpatients diagnosed with advanced solid cancer completed an electronic PROM, which included the MIDOS2 questionnaire among other tools. Differences in symptom burden were analysed between patients expressing subjective need for palliative support and those with survival of less or more than one year using ANOVA, Mann-Whitney-U Test, logistic regression, Pearson and Spearman correlation tests. Cut-off analyses were performed using a ROC curve. Youden-Index, sensitivity, and specificity measures were used as well.
RESULTS: Between April 2020 and March 2021, 265 inpatients were included in the study. Using a ROC curve, the MIDOS2 analysis resulted in an Area under the curve (AUC) of 0.732, a corresponding cut-off value of eight points, a sensitivity of 76.36% and a specificity of 62.98% in assessing the subjective need for palliative support. The MIDOS2, with double weighting of the significant symptoms, showed a cut-off value of 14 points, achieving a sensitivity of 78.18% and a specificity of 72.38%. A total of 55 patients (20.8%) expressed a need for support from the palliative care team. This need was independent of the oncological tumour entity and increased among patients with a survival of less than one year. These patients reported significantly poorer physical (p < 0.001) or mental (p < 0.001) condition. Additionally, they reported higher intensities of pain (p = 0.002), depressive symptoms (p < 0.001), weakness (p < 0.001), anxiety (p < 0.001), and tiredness (p < 0.001).
CONCLUSIONS: Using the established MIDOS2 cut-off value with an adjusted double weighting in our study, a large proportion of inpatients may be accurately referred to SPC based on their subjective need for palliative support. Additionally, subjective reports of poor general, mental, and physical condition, as well as pain, depressive symptoms, weakness, anxiety, and tiredness, increase the subjective need for palliative support, particularly in patients with a survival prognosis of less than one year.

BACKGROUND: Electronic health records (EHRs) can accelerate documentation and may enhance details of notes, or complicate documentation and introduce errors. Comprehensive assessment of documentation quality requires comparing documentation to what transpires during the clinical encounter itself. We assessed outpatient primary care notes and corresponding recorded encounters to determine accuracy, thoroughness, and several additional key measures of documentation quality.
METHODS: Patients and primary care clinicians across five midwestern primary care clinics of the US Department of Veterans Affairs were recruited into a prospective observational study. Clinical encounters were video-recorded and transcribed verbatim. Using the Physician Documentation Quality Instrument (PDQI-9) added to other measures, reviewers scored quality of the documentation by comparing transcripts to corresponding encounter notes. PDQI-9 items were scored from 1 to 5, with higher scores indicating higher quality.
RESULTS: Encounters (N = 49) among 11 clinicians were analyzed. Most issues that patients initiated in discussion were omitted from notes, and nearly half of notes referred to information or observations that could not be verified. Four notes lacked concluding assessments and plans; nine lacked information about when patients should return. Except for thoroughness, PDQI-9 items that were assessed achieved quality scores exceeding 4 of 5 points.
CONCLUSIONS: Among outpatient primary care electronic records examined, most issues that patients initiated in discussion were absent from notes, and nearly half of notes referred to information or observations absent from transcripts. EHRs may contribute to certain kinds of errors. Approaches to improving documentation should consider the roles of the EHR, patient, and clinician together.

BACKGROUND:  Doctors in German hospitals are critical of their working conditions. They complain about long working hours, inadequate remuneration for their work, poor training and development opportunities, and increasing time spent on administrative tasks. As these points of criticism are largely based on subjective perception, in the present study we documented in detail the workflows of physicians in a major regional hospital, determined the time taken for the workflows, and performed a statistical evaluation of the data.
METHODS:  Nine doctors from the specialties of internal medicine, surgery, and anesthesia/intensive care medicine were observed during their shifts for a total period of 216 hours at an urban hospital in Germany. All of the tasks performed by the doctors were recorded in an observation protocol.
RESULTS:  The time spent daily on documentation by doctors of all specialties was on average 93.1 ± 23.4 minutes, accounting for 19.4 % of a doctor\'s working hours. The specialists who spent the longest period of time on documentation were internists (120.2 ± 15.0 minutes; 25 %). During an eight-hour working day, computers were used on average for 123.5 ± 44.4 minutes; surgeons spent the shortest period of time on computers (71.5 ± 16.6 minutes). The direct patient-related work time (excluding the time spent on operations) was considerably lower (33.8 + 22.7 minutes; 7 %) than the time spent daily on documentation, increased to 80.7 ± 62.9 minutes when the time expended on actual surgical tasks was taken into account, and was then similar to the time spent on documentation (93.1 minutes).
CONCLUSIONS:  This pilot study was the first to determine, in real time, the work processes of doctors from different specialties at a German hospital. We noted a disparity between administrative and patient-related tasks in the in-patient setting. Legal and economic requirements exert a negative impact on medical care. We need to develop strategies for effective utilization of medical resources and for ensuring a high standard of medical care.
UNASSIGNED:  Ärztinnen und Ärzte kritisieren die Arbeitsbedingungen in deutschen Krankenhäusern. Sie beklagen insbesondere lange Arbeitszeiten, eine unzureichende Entlohnung für ihre Arbeit, mangelnde Fort- und Weiterbildung sowie einen zunehmenden Zeitaufwand für Verwaltungsaufgaben. Da es sich bei diesen Kritikpunkten um überwiegend subjektive Wahrnehmungen handelt, wurden in dieser Studie die Arbeitsabläufe von Ärztinnen und Ärzten in einem regionalen deutschen Schwerpunktkrankenhaus feinskalig dokumentiert, die zugehörigen Arbeitszeiten gemessen und anschließend statistisch ausgewertet.
METHODS:  Neun Ärztinnen und Ärzte aus den Fachrichtungen Innere Medizin, Chirurgie und Anästhesie/Intensivmedizin wurden während ihrer Schichten in einem städtischen deutschen Krankenhaus insgesamt 216 Stunden lang beobachtet. Alle von den Ärztinnen und Ärzten durchgeführten Arbeitsschritte wurden mit einem Beobachtungsprotokoll aufgezeichnet.
UNASSIGNED:  Die tägliche Dokumentationszeit aller Fachgruppen betrug im Durchschnitt mit 93,1 ± 23,4 Minuten 19,4 % der ärztlichen Zeit, wobei für Internistinnen und Internisten mit 120,2 ± 15,0 der größte Zeitaufwand (25 %) anfällt. Die Computernutzung während eines achtstündigen Arbeitstages lag im Durchschnitt bei 123,5 ± 44,4 Minuten, wobei Chirurginnen und Chirurgen mit 71,5 ± 16,6 die kürzesten PC-Zeiten haben. Die direkte patientenbezogene Arbeitszeit (ohne OP-Zeit) lag mit 33,8 ± 22,7 Minuten (7 %) deutlich unter der täglichen Dokumentationszeit (93,1 Minuten), war jedoch unter Einbeziehung chirurgischer Operationstätigkeiten mit 80,7 ± 62,9 Minuten vergleichbar mit dem Dokumentationsaufwand.
CONCLUSIONS:  Im Rahmen der vorliegenden Studie wurde in einem Pilotansatz zum ersten Mal der Arbeitsablauf von Ärztinnen und Ärzten unterschiedlicher Fachrichtungen in einem deutschen Krankenhaus in Echtzeit untersucht. Erkannt wurde ein Missverhältnis zwischen administrativen und patientennahen Tätigkeiten im stationären Sektor. Gesetzliche und wirtschaftliche Rahmenbedingungen beeinflussen die medizinische Versorgung ferner negativ. Es ist notwendig, Lösungsstrategien zu entwickeln, um die ärztlichen Ressourcen effektiv zu nutzen und eine hohe Versorgungsqualität sicherzustellen.

OBJECTIVE: To describe the associations between patient-to-nurse staffing ratios and rates of mortality, process of care events and vital sign documentation.
METHODS: Secondary analysis of data from the evaluating processes of care and outcomes of children in hospital (EPOCH) cluster-randomised trial.
METHODS: 22 hospitals caring for children in Canada, Europe and New Zealand.
METHODS: Eligible hospitalised patients were aged>37 weeks and <18 years.
METHODS: The primary outcome was all-cause hospital mortality. Secondary outcomes included five events reflecting the process of care, collected for all EPOCH patients; the frequency of documentation for each of eight vital signs on a random sample of patients; four measures describing nursing perceptions of care.
RESULTS: A total of 217 714 patient admissions accounting for 849 798 patient days over the course of the study were analysed. The overall mortality rate was 1.65/1000 patient discharges. The median (IQR) number of patients cared for by an individual nurse was 3.0 (2.8-3.6). Univariate Bayesian models estimating the rate ratio (RR) for the patient-to-nurse ratio and the probability that the RR was less than one found that a higher patient-to-nurse ratio was associated with fewer clinical deterioration events (RR=0.88, 95% credible interval (CrI) 0.77-1.03; P (RR<1)=95%) and late intensive care unit admissions (RR=0.76, 95% CrI 0.53-1.06; P (RR<1)=95%). In adjusted models, a higher patient-to-nurse ratio was associated with lower hospital mortality (OR=0.77, 95% CrI=0.57-1.00; P (OR<1)=98%). Nurses from hospitals with a higher patient-to-nurse ratio had lower ratings for their ability to influence care and reduced documentation of most individual vital signs and of the complete set of vital signs.
CONCLUSIONS: The data from this study challenge the assumption that lower patient-to-nurse ratios will improve the safety of paediatric care in contexts where ratios are low. The mechanism of these effects warrants further evaluation including factors, such as nursing skill mix, experience, education, work environment and physician staffing ratios.
BACKGROUND: EPOCH clinical trial registered on clinical trial.gov NCT01260831; post-results.

UNASSIGNED: Social needs screening can help modify care delivery to meet patient needs and address non-medical barriers to optimal health. However, there is a need to understand how factors that exist at multiple levels of the healthcare ecosystem influence the collection of these data in primary care settings.
UNASSIGNED: We conducted 20 semi-structured interviews involving healthcare providers and primary care clinic staff who represented 16 primary care practices. Interviews focused on barriers and facilitators to awareness of and assistance for patients\' social needs in primary care settings in Maryland. The interviews were coded to abstract themes highlighting barriers and facilitators to conducting social needs screening. The themes were organized through an inductive approach using the socio-ecological model delineating individual-, clinic-, and system-level barriers and facilitators to identifying and addressing patients\' social needs.
UNASSIGNED: We identified several individual barriers to awareness, including patient stigma about verbalizing social needs, provider frustration at eliciting needs they were unable to address, and provider unfamiliarity with community-based resources to address social needs. Clinic-level barriers to awareness included limited appointment times and connecting patients to appropriate community-based organizations. System-level barriers to awareness included navigating documentation challenges on the electronic health record.
UNASSIGNED: Overcoming barriers to effective screening for social needs in primary care requires not only practice- and provider-level process change but also an alignment of community resources and advocacy of policies to redistribute community assets to address social needs.

BACKGROUND: Racism and implicit bias underlie disparities in health care access, treatment, and outcomes. An emerging area of study in examining health disparities is the use of stigmatizing language in the electronic health record (EHR).
OBJECTIVE: We sought to summarize the existing literature related to stigmatizing language documented in the EHR. To this end, we conducted a scoping review to identify, describe, and evaluate the current body of literature related to stigmatizing language and clinician notes.
METHODS: We searched PubMed, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and Embase databases in May 2022, and also conducted a hand search of IEEE to identify studies investigating stigmatizing language in clinical documentation. We included all studies published through April 2022. The results for each search were uploaded into EndNote X9 software, de-duplicated using the Bramer method, and then exported to Covidence software for title and abstract screening.
RESULTS: Studies (N = 9) used cross-sectional (n = 3), qualitative (n = 3), mixed methods (n = 2), and retrospective cohort (n = 1) designs. Stigmatizing language was defined via content analysis of clinical documentation (n = 4), literature review (n = 2), interviews with clinicians (n = 3) and patients (n = 1), expert panel consultation, and task force guidelines (n = 1). Natural language processing was used in four studies to identify and extract stigmatizing words from clinical notes. All of the studies reviewed concluded that negative clinician attitudes and the use of stigmatizing language in documentation could negatively impact patient perception of care or health outcomes.
CONCLUSIONS: The current literature indicates that NLP is an emerging approach to identifying stigmatizing language documented in the EHR. NLP-based solutions can be developed and integrated into routine documentation systems to screen for stigmatizing language and alert clinicians or their supervisors. Potential interventions resulting from this research could generate awareness about how implicit biases affect communication patterns and work to achieve equitable health care for diverse populations.