AI-Powered Clinical Documentation and Clinicians' Electronic Health Record Experience: A Nonrandomized Clinical Trial.

This nonrandomized clinical trial investigated the electronic health record (EHR) experiences of clinicians before and after implementation of an artificial intelligence (AI)­powered clinical documentation tool.

The Impact of Collaborative Documentation on Person-Centered Care: Textual Analysis of Clinical Notes.

Background: Collaborative documentation (CD) is a behavioral health practice involving shared writing of clinic visit notes by providers and consumers. Despite widespread dissemination of CD, research on its effectiveness or impact on person-centered care (PCC) has been limited. Principles of PCC planning, a recovery-based approach to service planning that operationalizes PCC, can inform the measurement of person-centeredness within clinical documentation. Objective: This study aims to use the clinical informatics approach of natural language processing (NLP) to examine the impact of CD on person-centeredness in clinic visit notes. Using a dictionary-based approach, this study conducts a textual analysis of clinic notes from a community mental health center before and after staff were trained in CD. Methods: This study used visit notes (n=1981) from 10 providers in a community mental health center 6 months before and after training in CD. LIWC-22 was used to assess all notes using the Linguistic Inquiry and Word Count (LIWC) dictionary, which categorizes over 5000 linguistic and psychological words. Twelve LIWC categories were selected and mapped onto PCC planning principles through the consensus of 3 domain experts. The LIWC-22 contextualizer was used to extract sentence fragments from notes corresponding to LIWC categories. Then, fixed-effects modeling was used to identify differences in notes before and after CD training while accounting for nesting within the provider. Results: Sentence fragments identified by the contextualizing process illustrated how visit notes demonstrated PCC. The fixed effects analysis found a significant positive shift toward person-centeredness; this was observed in 6 of the selected LIWC categories post CD. Specifically, there was a notable increase in words associated with achievement (ß=.774, P<.001), power (ß=.831, P<.001), money (ß=.204, P<.001), physical health (ß=.427, P=.03), while leisure words decreased (ß=-.166, P=.002). Conclusions: By using a dictionary-based approach, the study identified how CD might influence the integration of PCC principles within clinical notes. Although the results were mixed, the findings highlight the potential effectiveness of CD in enhancing person-centeredness in clinic notes. By leveraging NLP techniques, this research illuminated the value of narrative clinical notes in assessing the quality of care in behavioral health contexts. These findings underscore the promise of NLP for quality assurance in health care settings and emphasize the need for refining algorithms to more accurately measure PCC.

Value of an orthopaedic admission proforma.

BACKGROUND: Admission notes are an important aspect of clinical practice and a vital means of communication among healthcare professionals. Incomplete or poor clinical documentation on admission can lead to delayed surgery. PATIENTS AND METHODS: A retrospective analysis of 20 consecutive admission notes to our department was compared against the Royal College of Surgeons standards (GSP 2014). A new admission proforma was designed, and after the introductory period, two further retrospective cycles were performed. RESULTS: In total, 60 admission notes were analysed. Following the introduction of the proforma, there was an overall improvement in the documentation of the quality and quantity of notes studied. CONCLUSION: Our study demonstrated that a well-structured admission protocol can improve the overall quality of admission notes.

Determining the cut-off value for the Minimal Documentation System (MIDOS2) screening tool to initiate specialized palliative care based on patient's subjective need for palliative support and symptom burden in inpatients with advanced cancer.

PURPOSE: 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). CONCLUSION: 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.

Increasing healthcare proxy documentation in an intensive care unit: a quality improvement initiative.

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.

Bedside Nurse Documentation Practices: At the Patient Bedside or Not?

High-quality care requires precise and timely provider documentation. Hospitals have used technology to document patient care within both the inpatient and outpatient areas and long-term care facilities. Research has demonstrated, by revealing a reduction in medical errors, that there has been a worldwide improvement in our community health and welfare since the implementation and utilization of documenting patient care electronically. Although electronic documentation has proven to be an improvement in patient record keeping, the most efficient location in which this documentation is to occur remains a question. At the location where this project took place, only the ICU had computers within the patient rooms for documentation purposes. This project evaluated bedside nurses' opinions related to the efficiency of documentation practices compounded by the location where documentation took place. The options were at the patient's bedside, on a workstation on wheels, or at the nursing station. Surveys were provided to bedside nursing staff both before and after computers were installed in patients' rooms in surgical and medical/surgical nursing units at a Veteran Affairs Medical Center located in the Northeastern region of the United States. The results of this project inconclusively answer the question posed: "Which mode of entry do nurses feel is more efficient to document patient care, on a computer in the patient room, at the nurses' station, or on a workstation on wheels?" Innovative strategies should be explored to develop a user-friendly design for computers located within the patient rooms for patient documentation.

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.

Effect of the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act Scribes Trial on Emergency Department Provider Productivity and Patient Throughput Times.

BACKGROUND: To help improve access to care, section 507 of the VA MISSION (Maintaining Internal Systems and Strengthening Integrated Outside Networks) Act of 2018 mandated a 2-year trial of medical scribes in the Veterans Health Administration (VHA). OBJECTIVE: The impact of scribes on provider productivity and patient throughput time in VHA emergency departments (EDs) was evaluated. METHODS: A clustered randomized trial was designed using intent-to-treat difference-in-differences analysis. The intervention period was from June 30, 2020 to July 1, 2022. The trial included six intervention and six comparison ED clinics. Two ED providers who volunteered to participate in the trial were assigned two scribes each. Scribes assisted providers with documentation and visit-related activities. The outcomes were provider productivity and patient throughput time per clinic-pay period. RESULTS: Randomization to intervention resulted in decreased provider productivity and increased patient throughput time. In adjusted regression models, randomization to scribes was associated with a decrease of 8.4 visits per full-time equivalent (95% confidence interval [CI] 12.4-4.3; p < 0.001) and 0.5 patients per day per provider (95% CI 0.8-0.3; p < 0.001). Intervention was associated with increases in length of stay of 29.1 min (95% CI 21.2-36.9 min; p < 0.001), 6.3 min in door to doctor (95% CI 2.9-9.6 min; p < 0.001), 19.5 min in door to disposition (95% CI 13.2-25.9 min; p < 0.001), and 13.7 min in doctor to disposition (95% CI 8.8-18.6 min; p < 0.001). CONCLUSIONS: Scribes were associated with decreased provider productivity and increased patient throughput time in VHA EDs. Although scribes may have contributed to improvements in other dimensions of quality, further examination of the ways in which scribes were used is advisable before widespread adoption in VHA EDs.

Time and Note Characteristic Effects of an Electronic Health Record Template for Internal Medicine Resident Notes.

Background Inpatient internal medicine (IM) residents spend most of their time on indirect patient care activities such as clinical documentation. Objective We developed optimized electronic health record (EHR) templates for IM resident admission and progress notes, with the objective to reduce note-writing time, shorten note length, and decrease the percentage of progress note text that was copy-forwarded from prior notes. Methods In 2022, a multidisciplinary team created, over an 8-month period, optimized EHR templates for IM resident admission and progress notes. A retrospective analysis was performed to assess differences in resident time spent writing notes, note length in characters, and percentage of progress note text that was copy-forwarded. All 94 residents in the IM residency program had the opportunity to use the novel templates. Results Following implementation of the novel templates, residents spent on average 3.6 minutes less per progress note compared to pre-intervention (P=.008; 95% CI of the difference: 1.1-6.0 minutes). Notes in the post-intervention period were shorter for admission notes (mean reduction of 1041 characters; P<.001; 95% CI of the difference: 448-1634 characters) and progress notes (mean reduction of 764 characters; P<.001; 95% CI of the difference: 103-1426 characters). Progress notes also saw an average 22% decrease of copy-forwarded text (P<.001, 95% CI of the difference: 18.7%-25.4%). Conclusions The optimized note templates led to a reduction in resident progress note-writing time, shortened note length, and a lower percentage of copy-forwarded text.

Pediatric Vital Signs Documentation in a Nationally Representative US Emergency Department Sample.

OBJECTIVES: Vital sign measurement and interpretation are essential components of assessment in the emergency department. We sought to assess the completeness of vital signs documentation (defined as a temperature, heart rate, respiratory rate, blood pressure, and oxygen saturation) in a nationally representative sample of children presenting to the emergency department, characterize abnormal vital signs using pediatric advanced life support (PALS) criteria, and evaluate their association with hospitalization or transfer. METHODS: We conducted a retrospective, cross-sectional study using the 2016-2021 National Hospital Ambulatory Medical Care Survey. We evaluated the proportion of children (aged ≤15 years) with complete vital signs and identified characteristics associated with complete vital signs documentation. We assessed the proportion of children having abnormal vital signs when using PALS criteria. RESULTS: We included 162.7 million survey-weighted pediatric encounters. Complete vital signs documentation was present in 50.8% of encounters. Older age and patient acuity were associated with vital signs documentation. Abnormal vital signs were documented in 73.0% of encounters with complete vital signs and were associated with younger age and hospitalization or transfer. Abnormal vital signs were associated with increased odds of hospitalization or transfer (odds ratio 1.51, 95% confidence interval 1.11-2.04). Elevated heart rate and respiratory rate were associated with hospitalization or transfer. CONCLUSIONS: A low proportion of children have documentation of complete vital signs, highlighting areas in need of improvement to better align with pediatric readiness quality initiatives. A high proportion of children had abnormal vital signs using PALS criteria. Few abnormalities were associated with hospitalization or transfer.

A New Method for Documenting Sign Language Productions in Schools.

PURPOSE: There are well-established guidelines for the recording, transcription, and analysis of spontaneous oral language samples by researchers, educators, and speech pathologists. In contrast, there is presently no consensus regarding methods for the written documentation of sign language samples. The Handshape Analysis Recording Tool (HART) is an innovative method for documenting and analyzing word level samples of signed languages in real time. Fluent sign language users can document the expressive sign productions of children to gather data on sign use and accuracy. METHOD: The HART was developed to document children's productions in Australian Sign Language (Auslan) in a bilingual-bicultural educational program for the Deaf in Australia. This written method was piloted with a group of fluent signing Deaf educational staff in 2014-2016, then used in 2022-2023 with a group of fluent signing professionals to examine inter- and intrarater reliability when coding parameters of sign accuracy. RESULTS: Interrater reliability measured by Gwet's Agreement Coefficient, was "good" to "very good" across the four phonological parameters that are components of every sign: location, movement, handshape, and orientation. CONCLUSIONS: The findings of this study indicate that the HART can be a reliable tool for coding the accuracy of location, orientation, movement, and handshape parameters of Auslan phonology when used by professionals fluent in Auslan. The HART can be utilized with any sign language to gather word level sign language samples in a written form and document the phonological accuracy of signed productions.

Data Collection in Dental Research: A Practitioner's Guide.

Data collection is a fundamental process in any scientific investigation. This article outlines best practices for three general elements of the data-collection process: (1) determining the specific aim, (2) design, and (3) documentation. We discuss these elements in the style of a tutorial, using extended examples specific to dental research. Each section of the tutorial concludes with a bullet-point summary for ease of reference to the readers. The supplemental material for this article includes templates designed to assist dental researchers in initiating the data-collection process in their respective research efforts, and selected references are organized by topic. Although written for an audience of clinical scientists in dentistry, the principles outlined here could be generalized to other health science research contexts.

Implementation of an eFAST guideline and teaching to improve documentation practices and saving of ultrasound images.

OBJECTIVES: To investigate whether implementation of a hospital-based Extended Focused Assessment with Sonography in Trauma (eFAST) guideline and teaching improved documentation and saving of images. METHODS: A retrospective cohort study was conducted on trauma patients aged ≥16 years presenting to St Vincent's Hospital Sydney Emergency Department over two, three-month periods in 2023. RESULTS: Guideline and teaching implementation resulted in statistically significant improvement in documentation on the Trauma Response Form, 85% (113/133) to 93% (120/129), odds ratio (OR) 2.4 (95% confidence interval [CI] = 1.03-5.40), P = 0.04, and images saved, 4% (5/133) to 21% (27/129), OR 6.7 (95% CI = 2.5-18.2), P < 0.001. CONCLUSIONS: Developing an eFAST Standard of Care Guideline and education was associated with improvements in documentation and saving of images to ultrasound machines.

Implementation of a Real-Time Documentation Assistance Tool: Automated Diagnosis (AutoDx).

BACKGROUND: Clinical documentation improvement programs are utilized by most health care systems to enhance provider documentation. Suggestions are sent to providers in a variety of ways, and are commonly referred to as coding queries. Responding to these coding queries can require significant provider time and do not often align with workflows. To enhance provider documentation in a more consistent manner without creating undue burden, alternative strategies are required. OBJECTIVES: The aim of this study is to evaluate the impact of a real-time documentation assistance tool, named AutoDx, on the volume of coding queries and encounter-level outcome metrics, including case-mix index (CMI). METHODS: The AutoDx tool was developed utilizing tools existing within the electronic health record, and is based on the generation of messages when clinical conditions are met. These messages appear within provider notes and required little to no interaction. Initial diagnoses included in the tool were electrolyte deficiencies, obesity, and malnutrition. The tool was piloted in a cohort of Hospital Medicine providers, then expanded to the Neuro Intensive Care Unit (NICU), with addition diagnoses being added. RESULTS: The initial Hospital Medicine implementation evaluation included 590 encounters pre- and 531 post-implementation. The volume of coding queries decreased 57% (p < 0.0001) for the targeted diagnoses compared with 6% (p = 0.77) in other high-volume diagnoses. In the NICU cohort, 829 encounters pre-implementation were compared with 680 post. The proportion of AutoDx coding queries compared with all other coding queries decreased from 54.9 to 37.1% (p < 0.0001). During the same period, CMI demonstrated a significant increase post-implementation (4.00 vs. 4.55, p = 0.02). CONCLUSION: The real-time documentation assistance tool led to a significant decrease in coding queries for targeted diagnoses in two unique provider cohorts. This improvement was also associated with a significant increase in CMI during the implementation time period.

Classification of Documented Goals of Care Among Hospitalized Patients with High Mortality Risk: a Mixed-Methods Feasibility Study.

BACKGROUND: The ability to classify patients' goals of care (GOC) from clinical documentation would facilitate serious illness communication quality improvement efforts and pragmatic measurement of goal-concordant care. Feasibility of this approach remains unknown. OBJECTIVE: To evaluate the feasibility of classifying patients' GOC from clinical documentation in the electronic health record (EHR), describe the frequency and patterns of changes in patients' goals over time, and identify barriers to reliable goal classification. DESIGN: Retrospective, mixed-methods chart review study. PARTICIPANTS: Adults with high (50-74%) and very high (≥ 75%) 6-month mortality risk admitted to three urban hospitals. MAIN MEASURES: Two physician coders independently reviewed EHR notes from 6 months before through 6 months after admission to identify documented GOC discussions and classify GOC. GOC were classified into one of four prespecified categories: (1) comfort-focused, (2) maintain or improve function, (3) life extension, or (4) unclear. Coder interrater reliability was assessed using kappa statistics. Barriers to classifying GOC were assessed using qualitative content analysis. KEY RESULTS: Among 85 of 109 (78%) patients, 338 GOC discussions were documented. Inter-rater reliability was substantial (75% interrater agreement; Cohen's kappa = 0.67; 95% CI, 0.60-0.73). Patients' initial documented goal was most frequently "life extension" (N = 37, 44%), followed by "maintain or improve function" (N = 28, 33%), "unclear" (N = 17, 20%), and "comfort-focused" (N = 3, 4%). Among the 66 patients whose goals' classification changed over time, most changed to "comfort-focused" goals (N = 49, 74%). Primary reasons for unclear goals were the observation of concurrently held or conditional goals, patient and family uncertainty, and limited documentation. CONCLUSIONS: Clinical notes in the EHR can be used to reliably classify patients' GOC into discrete, clinically germane categories. This work motivates future research to use natural language models to promote scalability of the approach in clinical care and serious illness research.

Virtual Scribes and Physician Time Spent on Electronic Health Records.

Importance: Time on the electronic health record (EHR) is associated with burnout among physicians. Newer virtual scribe models, which enable support from either a real-time or asynchronous scribe, have the potential to reduce the burden of the EHR and EHR-related documentation. Objective: To characterize the association of use of virtual scribes with changes in physicians' EHR time and note and order composition and to identify the physician, scribe, and scribe response factors associated with changes in EHR time upon virtual scribe use. Design, Setting, and Participants: Retrospective, pre-post quality improvement study of 144 physicians across specialties who had used a scribe for at least 3 months from January 2020 to September 2022, were affiliated with Brigham and Women's Hospital and Massachusetts General Hospital, and cared for patients in the outpatient setting. Data were analyzed from November 2022 to January 2024. Exposure: Use of either a real-time or asynchronous virtual scribe. Main Outcomes: Total EHR time, time on notes, and pajama time (5:30 pm to 7:00 am on weekdays and nonscheduled weekends and holidays), all per appointment; proportion of the note written by the physician and team contribution to orders. Results: The main study sample included 144 unique physicians who had used a virtual scribe for at least 3 months in 152 unique scribe participation episodes (134 [88.2%] had used an asynchronous scribe service). Nearly two-thirds of the physicians (91 physicians [63.2%]) were female and more than half (86 physicians [59.7%]) were in primary care specialties. Use of a virtual scribe was associated with significant decreases in total EHR time per appointment (mean [SD] of 5.6 [16.4] minutes; P < .001) in the 3 months after vs the 3 months prior to scribe use. Scribe use was also associated with significant decreases in note time per appointment and pajama time per appointment (mean [SD] of 1.3 [3.3] minutes; P < .001 and 1.1 [4.0] minutes; P = .004). In a multivariable linear regression model, the following factors were associated with significant decreases in total EHR time per appointment with a scribe use at 3 months: practicing in a medical specialty (-7.8; 95% CI, -13.4 to -2.2 minutes), greater baseline EHR time per appointment (-0.3; 95% CI, -0.4 to -0.2 minutes per additional minute of baseline EHR time), and decrease in the percentage of the note contributed by the physician (-9.1; 95% CI, -17.3 to -0.8 minutes for every percentage point decrease). Conclusions and Relevance: In 2 academic medical centers, use of virtual scribes was associated with significant decreases in total EHR time, time spent on notes, and pajama time, all per appointment. Virtual scribes may be particularly effective among medical specialists and those physicians with greater baseline EHR time.