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Purpose Free text reports (FTR) of head and neck ultrasound studies are currently deployed in most departments. Because of a lack of composition and language, these reports vary greatly in terms of quality and reliability. This may impair the learning process during residency. The purpose of the study was to analyze the longitudinal effects of using structured reports (SR) of head and neck ultrasound studies during residency. Methods Attending residents ( n  = 24) of a tripartite course on head and neck ultrasound, accredited by the German Society for Ultrasound in Medicine (DEGUM), were randomly allocated to pictures of common diseases. Both SRs and FTRs were compiled. All reports were analyzed concerning completeness, acquired time and legibility. Overall user contentment was evaluated by a questionnaire. Results SRs achieved significantly higher ratings regarding completeness (95.6% vs. 26.4%, p  < 0.001), description of pathologies (72.2% vs. 58.9%, p  < 0.001) and legibility (100% vs. 52.4%, p  < 0.001) with a very high inter-rater reliability (Fleiss’ kappa 0.9). Reports were finalized significantly faster (99.1 s vs. 115.0 s, p  < 0.001) and user contentment was significantly better when using SRs (8.3 vs. 6.3, p  < 0.001). In particular, only SRs showed a longitudinally increasing time efficiency (− 20.1 s, p  = 0.036) while maintaining consistent completeness ratings. Conclusions The use of SRs of head and neck ultrasound studies results in an increased longitudinal time-efficiency while upholding the report quality at the same time. This may indicate an additive learning effect of structured reporting. Superior outcomes in terms of comprehensiveness, legibility and time-efficiency can be observed immediately after implementation.

To evaluate associations between the electronic environment, clerical burden, and burnout in US physicians. Physicians across all specialties in the United States were surveyed between August and October 2014. Physicians provided information regarding use of electronic health records (EHRs), computerized physician order entry (CPOE), and electronic patient portals. Burnout was measured using validated metrics. Of 6375 responding physicians in active practice, 5389 (84.5%) reported that they used EHRs. Of 5892 physicians who indicated that CPOE was relevant to their specialty, 4858 (82.5%) reported using CPOE. Physicians who used EHRs and CPOE had lower satisfaction with the amount of time spent on clerical tasks and higher rates of burnout on univariate analysis. On multivariable analysis, physicians who used EHRs (odds ratio [OR]=0.67; 95% CI, 0.57-0.79; P<.001) or CPOE (OR=0.72; 95% CI, 0.62-0.84; P<.001) were less likely to be satisfied with the amount of time spent on clerical tasks after adjusting for age, sex, specialty, practice setting, and hours worked per week. Use of CPOE was also associated with a higher risk of burnout after adjusting for these same factors (OR=1.29; 95% CI, 1.12-1.48; P<.001). Use of EHRs was not associated with burnout in adjusted models controlling for CPOE and other factors. In this large national study, physicians' satisfaction with their EHRs and CPOE was generally low. Physicians who used EHRs and CPOE were less satisfied with the amount of time spent on clerical tasks and were at higher risk for professional burnout.

To clinically evaluate a type of patented automated anesthesia cart in medication administrations in anesthesia. This was a prospectively randomized open label clinical trial. In 10 designated operating suits in the First Affiliated Hospital of Zhengzhou University, in China. 1066 cases originated from 10,812 medication administrations in anesthesia were randomized. 78 registered anesthesiologists managed the medication. The patients received medication administrations in anesthesia with either an automated or a conventional manual cart. American Society of Anesthesiologists (ASA) score, sex, duration of anesthesia and surgical specialty, errors in administration of medications (incorrect medication given (substitution), medication not given (omission) and drug recordings errors”), compliance and satisfaction were recorded. The total error rate was 7.3% with the automated anesthesia carts (1 in 14 administrations) and 11.9% with conventional manual carts (1 in 8 administrations). Automated anesthesia carts significantly reduced the drug recording error rate compared to conventional manual carts (P<0.01). However, no significant difference of substitution or errors omission errors was found between groups of automated anesthesia carts and conventional manual carts. The anesthesiologists' compliance with the automated anesthesia carts was unsatisfactory, and all the errors in medication recordings with the automated anesthesia carts were due to the incorrect use of the carts. Most of the participating anesthesiologists preferred the automated anesthesia carts (P<0.05). The utilization of automated anesthesia carts reduced the drug recording errors in medication administrations of anesthesia. •Automated anesthesia carts reduced the error rate;•Anesthesiologists' compliance to the automated anesthesia carts was not satisfactory;•Most of the participating anesthesiologists preferred the automated anesthesia carts.

The terminology and diagnostic criteria presently used by pathologists to report invasive placentation is inconsistent and does not reflect current knowledge of the pathogenesis of the disease or the needs of the clinical care team. A consensus panel was convened to recommend terminology and reporting elements unified across the spectrum of PAS specimens (i.e., delivered placenta, total or partial hysterectomy with or without extrauterine tissues, curetting for retained products of conception). The proposed nomenclature under the umbrella diagnosis of placenta accreta spectrum (PAS) replaces the traditional categorical terminology (placenta accreta, increta, percreta) with a descriptive grading system that parallels the guidelines endorsed by the International Federation of Gynaecology and Obstetrics (FIGO). In addition, the nomenclature for hysterectomy specimens is separated from that for delivered placentas. The goal for each element in the system of nomenclature was to provide diagnostic criteria and guidelines for expected use in clinical practice.

OBJECTIVES:To validate and compare performance of an International Classification of Diseases, tenth revision (ICD-10) version of a combined comorbidity index merging conditions of Charlson and Elixhauser measures against individual measures in the prediction of 30-day mortality. To select a weight derivation method providing optimal performance across ICD-9 and ICD-10 coding systems. RESEARCH DESIGN:Using 2 adult population-based cohorts of patients with hospital admissions in ICD-9 (2005, n=337,367) and ICD-10 (2011, n=348,820), we validated a combined comorbidity index by predicting 30-day mortality with logistic regression. To appreciate performance of the Combined index and both individual measures, factors impacting indices performance such as population characteristics and weight derivation methods were accounted for. We applied 3 scoring methods (Van Walraven, Schneeweiss, and Charlson) and determined which provides best predictive values. RESULTS:Combined index [c-statistics0.853 (95% confidence intervalCI, 0.848–0.856)] performed better than original Charlson [0.841 (95% CI, 0.835–0.844)] or Elixhauser [0.841 (95% CI, 0.837–0.844)] measures on ICD-10 cohort. All weight derivation methods provided close high discrimination results for the Combined index (Van Walraven0.852, Schneeweiss0.851, Charlson0.849). Results were consistent across both coding systems. CONCLUSIONS:The Combined index remains valid with both ICD-9 and ICD-10 coding systems and the 3 weight derivation methods evaluated provided consistent high performance across those coding systems.

Objective To evaluate the ability of an electronic system created at the University of Washington to accurately document prerecorded VF and pulseless electrical activity (PEA) cardiac arrest scenarios compared with the American Heart Association paper cardiac arrest record. Methods 16 anaesthesiology residents were randomly assigned to view one of two prerecorded, simulated VF and PEA scenarios and asked to document the event with either the paper or electronic system. Each subject then repeated the process with the other video and documentation method. Five types of documentation errors were defined: (1) omission, (2) specification, (3) timing, (4) commission and (5) noise. The mean difference in errors between the paper and electronic methods was analysed using a single factor repeated measures ANOVA model. Results Compared with paper records, the electronic system omitted 6.3 fewer events (95% CI −10.1 to −2.5, p=0.003), which represents a 28% reduction in omission errors. Users recorded 2.9 fewer noise items (95% CI −5.3 to −0.6, p=0.003) when compared with paper, representing a 36% decrease in redundant or irrelevant information. The rate of timing (Δ=−3.2, 95% CI −9.3 to 3.0, p=0.286) and commission (Δ=−4.4, 95% CI −9.4 to 0.5, p=0.075) errors were similar between the electronic system and paper, while the rate of specification errors were about a third lower for the electronic system when compared with the paper record (Δ=−3.2, 95% CI −6.3 to −0.2, p=0.037). Conclusions Compared with paper documentation, documentation with the electronic system captured 24% more critical information during a simulated medical emergency without loss in data quality.

PurposeRectal cancer staging with magnetic resonance imaging (MRI) allows accurate assessment and preoperative staging of rectal cancers. Therefore, complete MRI reports are vital to treatment planning. Significant variability may exist in their content and completeness. Template-style reporting can improve reporting standards, but its use is not widespread. Given the implications for treatment, we have evaluated current clinical practice amongst specialist gastrointestinal (GI) radiologists to measure the quality of rectal cancer staging MRI reports.Materials and methodsSixteen United Kingdom (UK) colorectal cancer multi-disciplinary teams (CRC-MDTs) serving a population over 5 million were invited to submit up to 10 consecutive rectal cancer primary staging MRI reports from January 2016 for each radiologist participating in the CRC-MDT. Reports were compared to a reference standard based on recognised staging and prognostic factors influencing case managementResultsFour hundred ten primary staging reports were submitted from 41 of 42 (97.6%) eligible radiologists. Three hundred sixty reports met the inclusion criteria, of these, 81 (22.5%) used a template. Template report usage significantly increased recording of key data points versus non-template reports for extra-mural venous invasion (EMVI) status (98.8% v 51.6%, p < 0.01) and circumferential resection margin (CRM) status (96.3% v 65.9%, p < 0.01). Local tumour stage (97.5% v 93.5%, NS) and nodal status (98.8% v 96.1%, NS) were reported and with similar frequency.ConclusionRectal cancer primary staging reports do not meet published standards. Template-style reports have significant increases in the inclusion of key tumour descriptors. This study provides further support for their use to improve reporting standards and outcomes in rectal cancer.Key Points• MRI primary staging of rectal cancer requires detailed tumour descriptions as these alter the neoadjuvant and surgical treatments.• Currently, rectal cancer MRI reports in clinical practice do not provide sufficient detail on these tumour descriptors.• The use of template-style reports for primary staging of rectal cancer significantly improves report quality compared to free-text reports.

Objectives. To examine age and temporal trends in the proportion of COVID-19 deaths occurring out of hospital or in the emergency department and the proportion of all noninjury deaths assigned ill-defined causes in 2020. Methods. We analyzed newly released (March 2021) provisional COVID-19 death tabulations for the entire United States. Results. Children (younger than 18 years) were most likely (30.5%) and elders aged 64 to 74 years were least likely (10.4%) to die out of hospital or in the emergency department. In parallel, among all noninjury deaths, younger people had the highest proportions coded to symptoms, signs, and ill-defined conditions, and percentage symptoms, signs, and ill-defined conditions increased from 2019 to 2020 in all age–race/ethnicity groups. The majority of young COVID-19 decedents were racial/ethnic minorities. Conclusions. The high proportions of all noninjury deaths among children, adolescents, and young adults that were coded to ill-defined causes in 2020 suggest that some COVID-19 deaths were missed because of systemic failures in timely access to medical care for vulnerable young people. Public Health Implications. Increasing both availability of and access to the best hospital care for young people severely ill with COVID-19 will save lives and improve case fatality rates.

Clinical Document Architecture, Release One (CDA R1), became an American National Standards Institute (ANSI)–approved HL7 Standard in November 2000, representing the first specification derived from the Health Level 7 (HL7) Reference Information Model (RIM). CDA, Release Two (CDA R2), became an ANSI-approved HL7 Standard in May 2005 and is the subject of this article, where the focus is primarily on how the standard has evolved since CDA R1, particularly in the area of semantic representation of clinical events. CDA is a document markup standard that specifies the structure and semantics of a clinical document (such as a discharge summary or progress note) for the purpose of exchange. A CDA document is a defined and complete information object that can include text, images, sounds, and other multimedia content. It can be transferred within a message and can exist independently, outside the transferring message. CDA documents are encoded in Extensible Markup Language (XML), and they derive their machine processable meaning from the RIM, coupled with terminology. The CDA R2 model is richly expressive, enabling the formal representation of clinical statements (such as observations, medication administrations, and adverse events) such that they can be interpreted and acted upon by a computer. On the other hand, CDA R2 offers a low bar for adoption, providing a mechanism for simply wrapping a non-XML document with the CDA header or for creating a document with a structured header and sections containing only narrative content. The intent is to facilitate widespread adoption, while providing a mechanism for incremental semantic interoperability.

Coded data are the basis of information systems in all countries that rely on Diagnosis Related Groups in order to reimburse/finance hospitals, including both administrative and clinical data. To identify the problems and barriers that affect the quality of the coded data is paramount to improve data quality as well as to enhance its usability and outcomes. This study aims to explore problems and possible solutions associated with the clinical coding process. Problems were identified according to the perspective of ten medical coders, as the result of four focus groups sessions. This convenience sample was sourced from four public hospitals in Portugal. Questions relating to problems with the coding process were developed from the literature and authors’ expertise. Focus groups sessions were taped, transcribed and analyzed to elicit themes. Variability in the documents used for coding, illegibility of hand writing when coding on paper, increase of errors due to an extra actor in the coding process when transcribed from paper, difficulties in the diagnoses’ coding, coding delay and unavailability of resources and tools designed to help coders, were some of the problems identified. Some problems were identified and solutions such as the standardization of the documents used for coding an episode, the adoption of the electronic coding, the development of tools to help coding and audits, and the recognition of the importance of coding by the management were described as relevant factors for the improvement of the quality of data.