Use of an ambient artificial intelligence tool to improve quality of clinical documentation.

Background: Electronic health records (EHRs) have contributed to increased workloads for clinicians. Ambient artificial intelligence (AI) tools offer potential solutions, aiming to streamline clinical documentation and alleviate cognitive strain on healthcare providers. Objective: To assess the clinical utility of an ambient AI tool in enhancing consultation experience and the completion of clinical documentation. Methods: Outpatient consultations were simulated with actors and clinicians, comparing the AI tool against standard EHR practices. Documentation was assessed by the Sheffield Assessment Instrument for Letters (SAIL). Clinician experience was measured through questionnaires and the NASA Task Load Index. Results: AI-produced documentation achieved higher SAIL scores, with consultations 26.3% shorter on average, without impacting patient interaction time. Clinicians reported an enhanced experience and reduced task load. Conclusions: The AI tool significantly improved documentation quality and operational efficiency in simulated consultations. Clinicians recognised its potential to improve note-taking processes, indicating promise for integration into healthcare practices.

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study.

BACKGROUND: Physicians spend approximately half of their time on administrative tasks, which is one of the leading causes of physician burnout and decreased work satisfaction. The implementation of natural language processing-assisted clinical documentation tools may provide a solution. OBJECTIVE: This study investigates the impact of a commercially available Dutch digital scribe system on clinical documentation efficiency and quality. METHODS: Medical students with experience in clinical practice and documentation (n=22) created a total of 430 summaries of mock consultations and recorded the time they spent on this task. The consultations were summarized using 3 methods: manual summaries, fully automated summaries, and automated summaries with manual editing. We then randomly reassigned the summaries and evaluated their quality using a modified version of the Physician Documentation Quality Instrument (PDQI-9). We compared the differences between the 3 methods in descriptive statistics, quantitative text metrics (word count and lexical diversity), the PDQI-9, Recall-Oriented Understudy for Gisting Evaluation scores, and BERTScore. RESULTS: The median time for manual summarization was 202 seconds against 186 seconds for editing an automatic summary. Without editing, the automatic summaries attained a poorer PDQI-9 score than manual summaries (median PDQI-9 score 25 vs 31, P<.001, ANOVA test). Automatic summaries were found to have higher word counts but lower lexical diversity than manual summaries (P<.001, independent t test). The study revealed variable impacts on PDQI-9 scores and summarization time across individuals. Generally, students viewed the digital scribe system as a potentially useful tool, noting its ease of use and time-saving potential, though some criticized the summaries for their greater length and rigid structure. CONCLUSIONS: This study highlights the potential of digital scribes in improving clinical documentation processes by offering a first summary draft for physicians to edit, thereby reducing documentation time without compromising the quality of patient records. Furthermore, digital scribes may be more beneficial to some physicians than to others and could play a role in improving the reusability of clinical documentation. Future studies should focus on the impact and quality of such a system when used by physicians in clinical practice.

Electronic Discharge Summaries: Perspectives on National Implementation from Clinicians in Hospital and Primary Care.

This paper describes clinicians' views on the structure and content of an electronic discharge summary (EDS). A sample EDS template was developed by building on existing Australian guidelines to illustrate some of the proposed elements required for a high-quality clinical document. Surveys were widely disseminated to gather feedback and perspectives of hospital and primary care clinicians. A pragmatic approach to this study was underpinned by a strong evidence base and informed by implementation science methods. Key themes were identified, including variability in workflow and clinical needs, digital maturity, and digital health literacy of the clinical workforce. Understanding different workflows and priorities between hospital and primary care clinicians was a significant barrier to implementing a high-quality EDS. The strong consensus for change from both hospital and primary care clinicians, however, signaled the workforce's readiness as a potential enabler of high-quality EDS documentation.

Discharge Perfection: Assessing Documentation Quality at Mardan Medical Complex, Pakistan (2024 Audit Debut).

Background Patient discharge summaries not only play a vital role in ensuring continuity of care and patient safety but also serve as a communication tool between the primary and tertiary care settings. However, despite their paramount importance, most discharge summaries are either inaccurate or miss essential clinical information, posing considerable danger to patients. This clinical audit assesses the quality of discharge summaries at Mardan Medical Complex, Mardan, Pakistan, to identify areas for improvement. Aim The aim of this study is to assess the discharge summaries of patients at Mardan Medical Complex in Mardan, Pakistan, with a focus on their completeness, accuracy, and timeliness. Methods A cross-sectional, observational, and retrospective study was carried out in the Medical A ward of Mardan Medical Complex, Mardan, Pakistan, from September 2023 to October 2023. Out of the 897 discharge slips, a sample size of 105 participants was determined using Epi Info software. A systematic random sampling technique was used. Data was extracted from the hospital management information system and evaluated using a clinical audit tool based on standard guidelines from the Royal College of Physicians, Islamabad Healthcare Regulatory Authority, and Khyber Pakhtunkhwa Health Care Commission. To analyze the data, descriptive statistics were applied. Results The clinical audit revealed significant deficiencies in discharge summaries. Important patient demographics, such as contact details and safety alerts, were completely absent in 100% of the cases, and 48% of the summaries lacked the father's name. Admission details were similarly inadequate, with nearly all summaries missing critical information like admission time and reasons for admission. Clinical summaries and procedural details were absent in 73% and 87% of the cases, respectively. Discharge planning also showed major gaps, as special instructions according to the primary diagnosis and discharge destination were frequently neglected. Follow-up visits were recommended in only 71% of cases. Additionally, there were significant errors in in-home medication prescriptions, with 61% missing medication doses, 28% missing the route of administration, and 20% lacking the duration of treatment. Conclusions This clinical audit identified critical areas for improvement by revealing significant errors in the quality of discharge summaries at Mardan Medical Complex. It is recommended that standardized discharge slip templates be implemented, healthcare workers receive proper training, and thorough monitoring be conducted before patients are discharged. These measures aim to enhance the standard of documentation. Additionally, regular future clinical audits are essential for tracking the impact of these interventions and ensuring patient safety and continuity of care.

Unlocking the Potential of Underutilized Technology: A New Paradigm for Resident Doctor Efficiency.

Background The precision of clinical documentation in trauma and orthopaedic surgery is pivotal, given its profound implications on patient care and medicolegal risks. This study assessed the impact of an autotext template intervention on the adherence of clinical documentation to the neurovascular assessment standards set by the National Institute for Health and Care Excellence (NICE) and the British Orthopaedic Association Standards for Trauma (BOAST). Methods Conducted at a single hospital, this observational study comprised two phases: a retrospective analysis of clinical documentation for 56 fracture patients (n=56) followed by the implementation of an autotext template and subsequent analysis of a new cohort of 57 patients (n=57). The intervention aimed to enhance documentation quality in line with NICE and BOAST guidelines. Results Initial findings revealed a prevalent use of the nonspecific term "NVI" (neurovascularly intact), with only 8.5% (n=5) of pre-intervention documents adhering to detailed motor function assessments and a mere 6.8% (n=4) recording limb colour. Post-intervention analysis showed a significant improvement, with 91.23% (n=52) of documents listing nerves (P < 0.001) and 96.49% (n=55) adhering to motor function documentation using the Medical Research Council (MRC) grading scale (P < 0.001). Despite these advancements, the study acknowledges potential limitations such as the Hawthorne effect and the ongoing challenge of staff rotations. Conclusion The autotext template intervention markedly enhanced the adherence to neurovascular assessment documentation standards, as evidenced by the substantial increases in detailed parameter reporting and supported by statistically significant P-values. This advancement highlights the necessity of equipping clinicians with practical tools to uphold high documentation standards amidst challenging clinical conditions. Future investigations should focus on the long-term sustainability of these improvements across varying medical staff cohorts.

Enhancing Procedure Documentation in Neonatal Intensive Care Unit (NICU): A Quality Improvement Initiative at a Tertiary Neonatal Hospital.

Background Accurate and comprehensive procedure documentation in Electronic Medical Records (EMR) is crucial for high-quality patient care, especially in high-acuity settings like Neonatal Intensive Care Units (NICU). Gaps in documentation at Corniche Hospital's NICU that were affecting patient safety and continuity of care were identified and addressed by following a pre and post-intervention design in the research. The process involved the initial audit, educational sessions with healthcare providers, and follow-up audits to measure improvements. Results post-intervention showed a significant increase in compliance with documentation standards, pointing out the effectiveness of educational interventions in improving EMR documentation practices. The local problem is demonstrated through the observation of incomplete and inconsistent procedure documentation in the NICU, hindering effective patient management and multi-disciplinary team communication. Methods A Quality Improvement Project (QIP) was implemented, including a baseline audit, educational interventions targeting healthcare providers, and subsequent re-audits to assess improvement. The project involved tailored educational sessions focused on correct EMR usage, adherence to documentation standards, and practical aspects of documenting procedures. Results Post-intervention, there was a significant increase in documentation compliance. The percentage of compliance in procedure encounter placement in EMR increased from 81% to 100%, and nursing documentation compliance improved from 11 (52.4%) to 18 (85.7%). However, a slight decrease in the completeness of physician documentation was noted. Conclusions The QIP effectively improved procedure documentation in the NICU. Continuous education and periodic review are essential for maintaining and further enhancing documentation standards. This initiative underscores the importance of targeted training and consistent audits in improving clinical documentation in healthcare settings.

Transition database for rare diseases and its use for clinical documentation.

Patients with rare diseases commonly suffer from severe symptoms as well as chronic and sometimes life-threatening effects. Not only the rarity of the diseases but also the poor documentation of rare diseases often leads to an immense delay in diagnosis. One of the main problems here is the inadequate coding with common classifications such as the International Statistical Classification of Diseases and Related Health Problems. Instead, the ORPHAcode enables precise naming of the diseases. So far, just few approaches report in detail how the technical implementation of the ORPHAcode is done in clinical practice and for research. We present a concept and implementation of storing and mapping of ORPHAcodes. The Transition Database for Rare Diseases contains all the information of the Orphanet catalog and serves as the basis for documentation in the clinical information system as well as for monitoring Key Performance Indicators for rare diseases at the hospital. The five-step process (especially using open source tools and the DataVault 2.0 logic) for set-up the Transition Database allows the approach to be adapted to local conditions as well as to be extended for additional terminologies and ontologies.

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study.

BACKGROUND: Medical documentation plays a crucial role in clinical practice, facilitating accurate patient management and communication among health care professionals. However, inaccuracies in medical notes can lead to miscommunication and diagnostic errors. Additionally, the demands of documentation contribute to physician burnout. Although intermediaries like medical scribes and speech recognition software have been used to ease this burden, they have limitations in terms of accuracy and addressing provider-specific metrics. The integration of ambient artificial intelligence (AI)-powered solutions offers a promising way to improve documentation while fitting seamlessly into existing workflows. OBJECTIVE: This study aims to assess the accuracy and quality of Subjective, Objective, Assessment, and Plan (SOAP) notes generated by ChatGPT-4, an AI model, using established transcripts of History and Physical Examination as the gold standard. We seek to identify potential errors and evaluate the model's performance across different categories. METHODS: We conducted simulated patient-provider encounters representing various ambulatory specialties and transcribed the audio files. Key reportable elements were identified, and ChatGPT-4 was used to generate SOAP notes based on these transcripts. Three versions of each note were created and compared to the gold standard via chart review; errors generated from the comparison were categorized as omissions, incorrect information, or additions. We compared the accuracy of data elements across versions, transcript length, and data categories. Additionally, we assessed note quality using the Physician Documentation Quality Instrument (PDQI) scoring system. RESULTS: Although ChatGPT-4 consistently generated SOAP-style notes, there were, on average, 23.6 errors per clinical case, with errors of omission (86%) being the most common, followed by addition errors (10.5%) and inclusion of incorrect facts (3.2%). There was significant variance between replicates of the same case, with only 52.9% of data elements reported correctly across all 3 replicates. The accuracy of data elements varied across cases, with the highest accuracy observed in the "Objective" section. Consequently, the measure of note quality, assessed by PDQI, demonstrated intra- and intercase variance. Finally, the accuracy of ChatGPT-4 was inversely correlated to both the transcript length (P=.05) and the number of scorable data elements (P=.05). CONCLUSIONS: Our study reveals substantial variability in errors, accuracy, and note quality generated by ChatGPT-4. Errors were not limited to specific sections, and the inconsistency in error types across replicates complicated predictability. Transcript length and data complexity were inversely correlated with note accuracy, raising concerns about the model's effectiveness in handling complex medical cases. The quality and reliability of clinical notes produced by ChatGPT-4 do not meet the standards required for clinical use. Although AI holds promise in health care, caution should be exercised before widespread adoption. Further research is needed to address accuracy, variability, and potential errors. ChatGPT-4, while valuable in various applications, should not be considered a safe alternative to human-generated clinical documentation at this time.

Promoting diversity, equity and inclusion awareness in clinical documentation through postgraduate year one training.

BACKGROUND AND PURPOSE: As healthcare providers increasingly focus on emerging issues of diversity, equity and inclusion (DEI) in patient care, less is known about the training in postgraduate year one (PGY1) pharmacy residency on DEI clinical documentation considerations. This pilot project explored whether training, discussion and self-reflection within a peer review activity promoted DEI self-awareness in clinical documentation through a centralized curriculum of a multisite PGY1. EDUCATIONAL ACTIVITY AND SETTING: Building upon an established peer review of clinical documentation activity, PGY1 pharmacy residents practicing in ambulatory care settings received training on DEI considerations and completed small and large group discussions, a post-activity mixed methods survey with self-reflection prompts, and a three-month follow-up survey. FINDINGS: Twenty-two residents participated in the peer review of clinical documentation activity, DEI training and discussions. Twelve residents completed the post-activity survey with reflection prompts; 6 (50%) reported similar previous DEI training prior to residency. After the DEI training and discussions, 12 (100%) agreed or strongly agreed that their awareness of DEI documentation considerations increased; 10 (83%) would document their submitted notes differently, while one resident was unsure and one would not make changes. Twelve residents completed the follow-up survey three months following the activity. Themes from the free-text responses on key learnings collected post-activity and three-month post (respectively) included: 1) new knowledge, increased self-awareness, and intended action and 2) increased self-awareness and changes in note-making convention. SUMMARY: Integrating DEI training, discussion, and self-reflection prompts into a peer review clinical documentation activity increased self-awareness and knowledge of DEI considerations and promoted intended changes in patient care documentation for pharmacy residents. Regardless of previous training, residents reported continued self-awareness and changes in documentation conventions continued three months later.

Automating sedation state assessments using natural language processing.

INTRODUCTION: Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation. DESIGN: A prospective observational study was conducted. METHODS: Audio recordings from consenting participants undergoing elective procedures performed in the interventional radiology suite at a large academic hospital were transcribed using an automated speech recognition model. Sentences of transcribed text were used to train and evaluate several different NLP pipelines for a text classification task. The NLP pipelines we evaluated included a simple Bag-of-Words (BOW) model, an ensemble architecture combining a linear BOW model and a "token-to-vector" (Tok2Vec) component, and a transformer-based architecture using the RoBERTa pre-trained model. RESULTS: A total of 15,936 sentences from transcriptions of 82 procedures was included in the analysis. The RoBERTa model achieved the highest performance among the three models with an area under the ROC curve (AUC-ROC) of 0.97, an F1 score of 0.87, a precision of 0.86, and a recall of 0.89. The Ensemble model showed a similarly high AUC-ROC of 0.96, but lower F1 score of 0.79, precision of 0.83, and recall of 0.77. The BOW approach achieved an AUC-ROC of 0.97 and the F1 score was 0.7, precision was 0.83 and recall was 0.66. CONCLUSION: The transformer-based architecture using the RoBERTa pre-trained model achieved the best classification performance. Further research is required to confirm the that this natural language processing pipeline can accurately perform text classifications with real-time audio data to allow for automated sedation state assessments. CLINICAL RELEVANCE: Automating sedation state assessments using natural language processing pipelines would allow for more timely documentation of the care received by sedated patients, and, at the same time, decrease documentation burden for clinicians. Downstream applications can also be generated from the classifications, including for example real-time visualizations of sedation state, which may facilitate improved communication of the adequacy of the sedation between clinicians, who may be performing supervision remotely. Also, accumulation of sedation state assessments from multiple procedures may reveal insights into the efficacy of particular sedative medications or identify procedures where the current approach for sedation and analgesia is not optimal (i.e. a significant amount of time spent in "pain" or "movement" sedation states).

Writing for the role: A qualitative exploration of new graduate physiotherapists' transition to practice of clinical documentation.

INTRODUCTION: Clinical documentation is an integral component of effective physiotherapy practice. Minimal research has explored how new graduate physiotherapists transition to practice of documentation. OBJECTIVE: To understand new graduate physiotherapists' experiences and support needs for transitioning into this professional role, from the perspectives of new graduates and clinical supervisors. METHODS: This study utilized the qualitative methodology of reflexive thematic analysis, situated within a critical realist framework and informed by Duchscher's stages of transition theory. Semi-structured interviews of 16 new graduate physiotherapists (less than two years post-graduation) and seven clinical supervisors (of new graduate physiotherapists) were subjected to inductive analysis, where codes were organized into themes and subthemes. RESULTS: Three overarching themes were generated with associated subthemes. Variable preparedness for documentation identified that new graduates were equipped with the basics of documentation, yet challenged by unfamiliarity and complexity. Documentation practices evolve over time outlined experiences of new graduates developing a "written voice" and improving documentation efficiency. Workplace support is necessary irrespective of preparedness, discusses: i) opportunities to practice, reflect and refine skills, ii) protected time for documentation, and iii) access to templates and examples. CONCLUSION: New graduate physiotherapists enter the workforce with variable levels of preparedness for clinical documentation, and may experience challenges when facing unfamiliar contexts and clinical complexity. Understanding expectations and engaging in opportunities to improve documentation skills were perceived as beneficial for enhancing new graduate practice of clinical documentation across workplace settings. Implications for workplace support to promote safe and effective practice of documentation are discussed.

The Implementation of an Electronic Medical Record in a German Hospital and the Change in Completeness of Documentation: Longitudinal Document Analysis.

BACKGROUND: Electronic medical records (EMR) are considered a key component of the health care system's digital transformation. The implementation of an EMR promises various improvements, for example, in the availability of information, coordination of care, or patient safety, and is required for big data analytics. To ensure those possibilities, the included documentation must be of high quality. In this matter, the most frequently described dimension of data quality is the completeness of documentation. In this regard, little is known about how and why the completeness of documentation might change after the implementation of an EMR. OBJECTIVE: This study aims to compare the completeness of documentation in paper-based medical records and EMRs and to discuss the possible impact of an EMR on the completeness of documentation. METHODS: A retrospective document analysis was conducted, comparing the completeness of paper-based medical records and EMRs. Data were collected before and after the implementation of an EMR on an orthopaedical ward in a German academic teaching hospital. The anonymized records represent all treated patients for a 3-week period each. Unpaired, 2-tailed t tests, chi-square tests, and relative risks were calculated to analyze and compare the mean completeness of the 2 record types in general and of 10 specific items in detail (blood pressure, body temperature, diagnosis, diet, excretions, height, pain, pulse, reanimation status, and weight). For this purpose, each of the 10 items received a dichotomous score of 1 if it was documented on the first day of patient care on the ward; otherwise, it was scored as 0. RESULTS: The analysis consisted of 180 medical records. The average completeness was 6.25 (SD 2.15) out of 10 in the paper-based medical record, significantly rising to an average of 7.13 (SD 2.01) in the EMR (t178=-2.469; P=.01; d=-0.428). When looking at the significant changes of the 10 items in detail, the documentation of diet (P<.001), height (P<.001), and weight (P<.001) was more complete in the EMR, while the documentation of diagnosis (P<.001), excretions (P=.02), and pain (P=.008) was less complete in the EMR. The completeness remained unchanged for the documentation of pulse (P=.28), blood pressure (P=.47), body temperature (P=.497), and reanimation status (P=.73). CONCLUSIONS: Implementing EMRs can influence the completeness of documentation, with a possible change in both increased and decreased completeness. However, the mechanisms that determine those changes are often neglected. There are mechanisms that might facilitate an improved completeness of documentation and could decrease or increase the staff's burden caused by documentation tasks. Research is needed to take advantage of these mechanisms and use them for mutual profit in the interests of all stakeholders. TRIAL REGISTRATION: German Clinical Trials Register DRKS00023343; https://drks.de/search/de/trial/DRKS00023343.

Generative Language Models and Open Notes: Exploring the Promise and Limitations.

Patients' online record access (ORA) is growing worldwide. In some countries, including the United States and Sweden, access is advanced with patients obtaining rapid access to their full records on the web including laboratory and test results, lists of prescribed medications, vaccinations, and even the very narrative reports written by clinicians (the latter, commonly referred to as "open notes"). In the United States, patient's ORA is also available in a downloadable form for use with other apps. While survey studies have shown that some patients report many benefits from ORA, there remain challenges with implementation around writing clinical documentation that patients may now read. With ORA, the functionality of the record is evolving; it is no longer only an aide memoire for doctors but also a communication tool for patients. Studies suggest that clinicians are changing how they write documentation, inviting worries about accuracy and completeness. Other concerns include work burdens; while few objective studies have examined the impact of ORA on workload, some research suggests that clinicians are spending more time writing notes and answering queries related to patients' records. Aimed at addressing some of these concerns, clinician and patient education strategies have been proposed. In this viewpoint paper, we explore these approaches and suggest another longer-term strategy: the use of generative artificial intelligence (AI) to support clinicians in documenting narrative summaries that patients will find easier to understand. Applied to narrative clinical documentation, we suggest that such approaches may significantly help preserve the accuracy of notes, strengthen writing clarity and signals of empathy and patient-centered care, and serve as a buffer against documentation work burdens. However, we also consider the current risks associated with existing generative AI. We emphasize that for this innovation to play a key role in ORA, the cocreation of clinical notes will be imperative. We also caution that clinicians will need to be supported in how to work alongside generative AI to optimize its considerable potential.

Impact of Collaborative Documentation on Completeness and Length of Clinical Notes in Behavioral Health Settings.

OBJECTIVE: This study aimed to examine differences in community mental health visit notes before and after initiation of collaborative documentation, a practice in which clinicians and consumers jointly document clinical encounters. METHODS: Using a clinical informatics approach, the authors sampled visit notes (N=1,875) from nine providers in one mental health clinic. The authors compared notes from before and after the implementation of collaborative documentation by using fixed-effects regression models, controlling for therapist-level effects. RESULTS: Significant changes in visit note structure were found after the implementation of collaborative documentation. Most sections (N=6 of 10) contained more information (i.e., higher word and character counts) after collaborative documentation implementation, but sections describing a client's feelings were less likely to have any content (OR=0.01, p<0.001). CONCLUSIONS: These findings demonstrate that collaborative documentation influences clinical notes, providing much-needed research about a widely adopted practice in community mental health settings.

A Clinical Audit of Orthopaedic Clinical Documentation of Acute Ankle Fractures: A Quality Improvement Project.

Background Orthopaedic ankle fractures are common injuries that require careful assessment, management, and documentation to ensure optimal patient outcomes. Proper documentation plays a critical role in facilitating communication among healthcare professionals, ensuring accurate diagnosis, treatment planning, and monitoring patient progress. Moreover, it is essential for medico-legal purposes and quality improvement initiatives. This article presents a comprehensive clinical audit aimed at evaluating the quality of orthopaedic ankle fracture documentation within a healthcare setting. The aim of this project was to assess the quality and accuracy of ankle fracture documentation within a single centre against the audit standards set by the British Orthopaedic Association (BOA) and the National Institute for Health and Care Excellence (NICE). Methods The study was a closed-loop audit utilising both retrospective and prospective analysis of ankle fracture clerking documentation performed by members of the trauma and orthopaedics team. Two audit cycles were completed in total; the first cycle was carried out in January 2020 where data were collected retrospectively from all orthopaedic admissions of ankle fractures. This was then re-audited against the BOA and NICE guidelines and presented to the local clinical governance meeting. A targeted educational intervention was then implemented with the goal of educating and reinforcing to key team members the documentation standards and the importance of accurate clerking documentation. The second cycle was carried out during July 2020 prospectively. All data were collected and collated with a total of nine data parameters analysed. Patients were included if they were skeletally mature and presented with closed malleolar and syndesmotic ankle injuries. Excluded patients were those who presented with open fractures, pilon fractures, and/or were skeletally immature. Data were then re-presented at the clinical governance meeting. Results A total of 23 patients were identified in the initial audit cycle and 22 patients in re-audit. On admission, it was found that 86% of patients presenting with ankle fractures had adequate documentation of their injury mechanism, which subsequently improved to 100% following the intervention. Similarly, there was a 71% improvement in precise documentation of clinical findings of ankle fractures. There was a marked improvement in the consistency of examination findings as well, with over 30% improvement in the rate of documentation for sensation status, skin integrity, circulation, and motor function. Results also revealed a 71% improvement in the documentation rates of vascular examinations where a Doppler ultrasound was used or pulses named in the documentation. Conclusion Through a targeted educational scheme focussing on the proposed documentation guidelines, we noted a significant improvement in documentation standards and accuracy of ankle fractures in the trauma and orthopaedic department. With ongoing educational input and reinforcement, team members can be supported to maintain a high level of documentation that meets all available standards, which will ultimately lead to improved patient care.

Medical Student Note Quality on a Pediatrics Core Clerkship Differs by Service.

Introduction Medical students rotate on various clinical disciplines with the same professional goal of learning medical documentation. This study investigated differences between medical student notes on inpatient general and subspecialty pediatric services by comparing note quality, length, and file time. Methods In a single-site, observational cohort study, medical students in the Core Clerkship in Pediatrics (CCP) from July 2020 to June 2021 participated in a note-writing didactic course. We compared notes from medical students completing their inpatient assignment on a general pediatric service to those who completed it on a pediatric subspecialty service. Primary outcomes were note quality measured by Physician Documentation Quality Instrument-9 (PDQI9), note length (measured by line count), and file time (measured by hours to completion since 6 AM on the morning of note initiation). Results We evaluated 84 notes from 84 medical students on the general pediatric services and 50 notes from 49 medical students on the pediatric subspecialty services. Note quality measured by PDQI9 was significantly higher for general pediatric service notes compared to pediatric subspecialty service notes (p = 0.03). General pediatric service notes were significantly shorter (p < 0.001). We found no difference in file time (p = 0.23). Conclusion Medical student notes on pediatric subspecialty services scored significantly lower in quality and were longer compared to general pediatric services, demonstrating the need for a more tailored note-writing curriculum and note template based on service.

Talking About Notes: Using a Design-Based Research Approach to Develop a Discharge Summary Template on a Geriatric Inpatient Unit.

Background: Discharge summaries are important educational tools, guiding trainees in their collection and documentation of data. As geriatric competencies are integrated in medical curricula, documentation on in-patient geriatric rotations should represent the unique care and education provided, yet often follow generic templates. What content should be included in a geriatric discharge summary has not previously been explored and was the purpose of this study. Methods: A mixed-methods, designed-based research approach was used to assess note quality on a geriatric in-patient unit and iteratively co-develop a template with examples through three phases: 1) needs assessment, 2) consensus building, and 3) template development. Results: Sixty-eight discharge summaries were assessed by five geriatricians, with 14 gaps identified. Many of these reflected elements that were present but addressed generically without attention to the specificity required from a geriatric perspective. In response, the team developed a geriatric-specific template with explicit examples. Through the consensus process three barriers to quality notes and trainee education were identified: the chronic state of low-quality notes being accepted as the norm, time limitations due to the high volume of patients, and high volume of clinical documents. Conclusions: The identification of gaps in geriatric discharge summaries allowed for the co-development of an instructional template and examples that goes beyond simple headings and highlights the importance of applying and documenting geriatric competencies. Although we encourage others to take up and modify the tools for trainees in their local context, more importantly, we encourage them to take up the dialogue about note quality.

Co-design of an intervention to reduce the burden of clinical documentation: A clinician-researcher collaboration.

AIM: To co-design an intervention to reduce the burden of clinical documentation for nurses and midwives. METHODS: A clinician-researcher collaboration used an action research approach to co-design an intervention to reduce clinical documentation. The study consisted of three phases: 1) Analysis of pre-intervention data, 2) Evaluation of existing documentation, 3) Intervention co-design and implementation. RESULTS: A total of 116 documents were reviewed using a three-stage evaluation process, identifying 28 documents that could be discontinued and 33 documents to be modified for the intervention. This resulted in an average of 7 documents for women who had a vaginal birth (decreased from 13), 9 documents for women who had a caesarean (decreased from 18), and 7 documents for newborns (previously 7-10). The minimum number of documents for a mother and baby reduced from 20 pre-intervention to 14 post-intervention. CONCLUSION: The collaboration successfully co-designed and implemented an intervention to address the burden of clinical documentation that can be replicated in other healthcare settings.