The digital scribe.

Current generation electronic health records suffer a number of problems that make them inefficient and associated with poor clinical satisfaction. Digital scribes or intelligent documentation support systems, take advantage of advances in speech recognition, natural language processing and artificial intelligence, to automate the clinical documentation task currently conducted by humans. Whilst in their infancy, digital scribes are likely to evolve through three broad stages. Human led systems task clinicians with creating documentation, but provide tools to make the task simpler and more effective, for example with dictation support, semantic checking and templates. Mixed-initiative systems are delegated part of the documentation task, converting the conversations in a clinical encounter into summaries suitable for the electronic record. Computer-led systems are delegated full control of documentation and only request human interaction when exceptions are encountered. Intelligent clinical environments permit such augmented clinical encounters to occur in a fully digitised space where the environment becomes the computer. Data from clinical instruments can be automatically transmitted, interpreted using AI and entered directly into the record. Digital scribes raise many issues for clinical practice, including new patient safety risks. Automation bias may see clinicians automatically accept scribe documents without checking. The electronic record also shifts from a human created summary of events to potentially a full audio, video and sensor record of the clinical encounter. Digital scribes promisingly offer a gateway into the clinical workflow for more advanced support for diagnostic, prognostic and therapeutic tasks

Amiodarone-induced thyrotoxicosis in a pediatric patient: A rare and demanding clinical case

Thyroid dysfunction is one of the most common adverse effects of amiodarone therapy, ranging from subclinical changes to overt clinical thyrotoxicosis (AIT) and/or hypothyroidism. Due to its heterogeneity, AIT lasts as a defiant entity, leading to a thorny treatment course, particularly in pediatrics. AIT can be classified as either type 1, type 2 or mixed form based on its pathophysiology. Differentiating between the main AIT subtypes is quite relevant, since there is specific treatment for both, however, this distinction may be difficult in clinical practice. We describe a rare case of AIT in a pediatric patient, with an uncommon congenital cardiac malformation, that started amiodarone therapy due to paroxysmal supraventricular tachycardia. AIT was reported 26 months after drug onset, with a sudden and explosive emerging. This case highlights the current AIT management challenges on the high-demanding pediatric field pursuing, ultimately, an enhanced patient´s care

Translation and Validation of the Patient Activation Measure in Portuguese People with Type 2 Diabetes Mellitus

Introduction: Management of diabetes mellitus is largely dependent on patients' active participation in care. The 'Patient Activation Measure 13' assesses patients' knowledge, skills, and confidence in self-care. We aimed to translate, culturally adapt, and validate the 'Patient Activation Measure 13' to Portuguese, in people with type 2 diabetes. Material and Methods: The translation and cultural adaptation occurred in six phases. A convenience sample of people with type 2 diabetes was recruited from the waiting rooms of a diabetes outpatient centre in Lisbon, between March and April 2014. The questionnaire was self-administered; medical records were reviewed to obtain glycated haemoglobin levels. Main statistical analyses were based on the Rasch rating scale model. Results: The response rate for the final questionnaire was 76%. Rasch analysis was conducted on 193 respondents. Respondents had a mean age of 67.1 (SD 10.1) years, 42.7% were women, and the mean patient activation measure score (0 - 100) in the sample was 58.5 (SD 10.1). The sample was low to moderate in terms of activation: 40.4% were low in activation (levels 1 and 2), 49.7% were in level 3, and 9.8% were in level 4, the highest level of activation. All items had good fit and the response categories functioned well. Item reliability was 0.97 and person reliability was between 0.77 (real) and 0.83 (model). Discussion: The 'Patient Activation Measure 13' was translated and culturally adapted to European Portuguese and validated in people with diabetes, showing good psychometric properties. Future research should aim at evaluating test-retest reliability of the Portuguese 'Patient Activation Measure 13', and exploring its ability to measure changes in activation over time. Conclusion: The 'Patient Activation Measure 13' is now available in European Portuguese and has good psychometric properties.Liliana Laranjo was supported by a Junior Clinical Research award from the Harvard Medical School-Portugal program (HMSP-ICJ/0005/2010; Fundacao para a Ciencia e Tecnologia)

Impact of providing patients access to electronic health records on quality and safety of care: a systematic review and meta-analysis

Objective To evaluate the impact of sharing electronic health records (EHRs) with patients and map it across six domains of quality of care (ie, patient-centredness, effectiveness, efficiency, timeliness, equity and safety). Design Systematic review and meta-analysis. Data sources CINAHL, Cochrane, Embase, HMIC, Medline/PubMed and PsycINFO, from 1997 to 2017. Eligibility criteria Randomised trials focusing on adult subjects, testing an intervention consisting of sharing EHRs with patients, and with an outcome in one of the six domains of quality of care. Data analysis The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. Title and abstract screening were performed by two pairs of investigators and assessed using the Cochrane Risk of Bias Tool. For each domain, a narrative synthesis of the results was performed, and significant differences in results between low risk and high/unclear risk of bias studies were tested (t-test, p<0.05). Continuous outcomes evaluated in four studies or more (glycated haemoglobin (HbA1c), systolic blood pressure (SBP) and diastolic blood pressure (DBP)) were pooled as weighted mean difference (WMD) using random effects meta-analysis. Sensitivity analyses were performed for low risk of bias studies, and long-term interventions only (lasting more than 12 months). Results Twenty studies were included (17 387 participants). The domain most frequently assessed was effectiveness (n=14), and the least were timeliness and equity (n=0). Inconsistent results were found for patient-centredness outcomes (ie, satisfaction, activation, self-efficacy, empowerment or health literacy), with 54.5% of the studies (n=6) demonstrating a beneficial effect. Meta-analyses showed a beneficial effect in effectiveness by reducing absolute values of HbA1c (unit: %; WMD=−0.316; 95% CI −0.540 to −0.093, p=0.005, I2=0%), which remained significant in the sensitivity analyses for low risk of bias studies (WMD= −0.405; 95% CI −0.711 to −0.099), and long-term interventions only (WMD=−0.272; 95% CI −0.482 to −0.062). A significant reduction of absolute values of SBP (unit: mm Hg) was found but lost in sensitivity analysis for studies with low risk of bias (WMD= −1.375; 95% CI −2.791 to 0.041). No significant effect was found for DBP (unit: mm Hg; WMD=−0.918; 95% CI −2.078 to 0.242, p=0.121, I2=0%). Concerning efficiency, most studies (80%, n=4) found either a reduction of healthcare usage or no change. A beneficial effect was observed in a range of safety outcomes (ie, general adherence, medication safety), but not in medication adherence. The proportion of studies reporting a beneficial effect did not differ between low risk and high/unclear risk studies, for the domains evaluated. Discussion Our analysis supports that sharing EHRs with patients is effective in reducing HbA1c levels, a major predictor of mortality in type 2 diabetes (mean decrease of −0.405, unit: %) and could improve patient safety. More studies are necessary to enhance meta-analytical power and assess the impact in other domains of care. Protocol registration http://www.crd.york.ac.uk/PROSPERO (CRD42017070092)

Challenges of developing a digital scribe to reduce clinical documentation burden.

Clinicians spend a large amount of time on clinical documentation of patient encounters, often impacting quality of care and clinician satisfaction, and causing physician burnout. Advances in artificial intelligence (AI) and machine learning (ML) open the possibility of automating clinical documentation with digital scribes, using speech recognition to eliminate manual documentation by clinicians or medical scribes. However, developing a digital scribe is fraught with problems due to the complex nature of clinical environments and clinical conversations. This paper identifies and discusses major challenges associated with developing automated speech-based documentation in clinical settings: recording high-quality audio, converting audio to transcripts using speech recognition, inducing topic structure from conversation data, extracting medical concepts, generating clinically meaningful summaries of conversations, and obtaining clinical data for AI and ML algorithms

Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies.

BACKGROUND: Healthy behaviors are crucial for maintaining a person's health and well-being. The effects of health behavior interventions are mediated by individual and contextual factors that vary over time. Recently emerging smartphone-based ecological momentary interventions (EMIs) can use real-time user reports (ecological momentary assessments [EMAs]) to trigger appropriate support when needed in daily life. OBJECTIVE: This systematic review aims to assess the characteristics of smartphone-delivered EMIs using self-reported EMAs in relation to their effects on health behaviors, user engagement, and user perspectives. METHODS: We searched MEDLINE, Embase, PsycINFO, and CINAHL in June 2019 and updated the search in March 2020. We included experimental studies that incorporated EMIs based on EMAs delivered through smartphone apps to promote health behaviors in any health domain. Studies were independently screened. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. We performed a narrative synthesis of intervention effects, user perspectives and engagement, and intervention design and characteristics. Quality appraisal was conducted for all included studies. RESULTS: We included 19 papers describing 17 unique studies and comprising 652 participants. Most studies were quasi-experimental (13/17, 76%), had small sample sizes, and great heterogeneity in intervention designs and measurements. EMIs were most popular in the mental health domain (8/17, 47%), followed by substance abuse (3/17, 18%), diet, weight loss, physical activity (4/17, 24%), and smoking (2/17, 12%). Of the 17 studies, the 4 (24%) included randomized controlled trials reported nonstatistically significant effects on health behaviors, and 4 (24%) quasi-experimental studies reported statistically significant pre-post improvements in self-reported primary outcomes, namely depressive (P<.001) and psychotic symptoms (P=.03), drinking frequency (P<.001), and eating patterns (P=.01). EMA was commonly used to capture subjective experiences as well as behaviors, whereas sensors were rarely used. Generally, users perceived EMIs to be helpful. Common suggestions for improvement included enhancing personalization, multimedia and interactive capabilities (eg, voice recording), and lowering the EMA reporting burden. EMI and EMA components were rarely reported and were not described in a standardized manner across studies, hampering progress in this field. A reporting checklist was developed to facilitate the interpretation and comparison of findings and enhance the transparency and replicability of future studies using EMAs and EMIs. CONCLUSIONS: The use of smartphone-delivered EMIs using self-reported EMAs to promote behavior change is an emerging area of research, with few studies evaluating efficacy. Such interventions could present an opportunity to enhance health but need further assessment in larger participant cohorts and well-designed evaluations following reporting checklists. Future research should explore combining self-reported EMAs of subjective experiences with objective data passively collected via sensors to promote personalization while minimizing user burden, as well as explore different EMA data collection methods (eg, chatbots). TRIAL REGISTRATION: PROSPERO CRD42019138739; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=138739

Positive Fluid Balance Was Associated with Mortality in Patients with Acute-on-Chronic Liver Failure: a Cohort Study

Purpose: We aimed to study the effect of FB in the outcomes of critically-ill patients with cirrhosis. Materials: Retrospective analysis of all adult consecutive admissions of patients with cirrhosis and organ failures to the Intensive Care Unit (ICU) at Curry Cabral Hospital (Lisbon, Portugal) and University of Alberta Hospital (Edmonton, Canada) on 08/2013-08/2017. Primary exposure was FB at 3 and 7 days post ICU admission. Primary endpoint was hospital mortality. Results: Amongst 333 patients, median age was 56 years and 67.6% were men. Median MELD, APACHEII, CLIF-SOFA, and CLIF-C-ACLF scores on ICU admission were 27, 28, 14, and 54, respectively. ICU and hospital mortality rates were 33.0% and 49.2%, respectively. While median FB at 3 days post ICU admission (+5.46 l vs. +6.62 l; P = 0.74) was not associated with hospital mortality, higher median FB at 7 days post ICU admission (+13.50 l vs. +6.90 l; P = 0.036) was associated with higher hospital mortality. This association remained significant (OR 95%CI = 1.04 [1.01;1.07] per each l) after adjustment for confounders (age, ascites, infection, lactate, and number of organ failures). Conclusions: FB may be a therapeutic target that helps to improve the outcomes of patients with acute-on-chronic liver failure. This data may inform future clinical trials.info:eu-repo/semantics/publishedVersio

A network model of activities in primary care consultations.

OBJECTIVE:The objective of this study is to characterize the dynamic structure of primary care consultations by identifying typical activities and their inter-relationships to inform the design of automated approaches to clinical documentation using natural language processing and summarization methods. MATERIALS AND METHODS:This is an observational study in Australian general practice involving 31 consultations with 4 primary care physicians. Consultations were audio-recorded, and computer interactions were recorded using screen capture. Physical interactions in consultation rooms were noted by observers. Brief interviews were conducted after consultations. Conversational transcripts were analyzed to identify different activities and their speech content as well as verbal cues signaling activity transitions. An activity transition analysis was then undertaken to generate a network of activities and transitions. RESULTS:Observed activity classes followed those described in well-known primary care consultation models. Activities were often fragmented across consultations, did not flow necessarily in a defined order, and the flow between activities was nonlinear. Modeling activities as a network revealed that discussing a patient's present complaint was the most central activity and was highly connected to medical history taking, physical examination, and assessment, forming a highly interrelated bundle. Family history, allergy, and investigation discussions were less connected suggesting less dependency on other activities. Clear verbal signs were often identifiable at transitions between activities. DISCUSSION:Primary care consultations do not appear to follow a classic linear model of defined information seeking activities; rather, they are fragmented, highly interdependent, and can be reactively triggered. CONCLUSION:The nonlinearity of activities has significant implications for the design of automated information capture. Whereas dictation systems generate literal translation of speech into text, speech-based clinical summary systems will need to link disparate information fragments, merge their content, and abstract coherent information summaries

Conversational Agents for Health and Wellbeing

Conversational agents have increasingly been deployed in healthcare applications. However, significant challenges remain in developing this technology. Recent research in this area has highlighted that: i) patient safety was rarely evaluated; ii) health outcomes were poorly measured, and iii) no standardised evaluation methods were employed. The conversational agents in healthcare are lagging behind the developments in other domains. This one-day workshop aims to create a roadmap for healthcare conversational agents to develop standardised design and evaluation frameworks. This will prioritise health outcomes and patient safety while ensuring a high-quality user experience. In doing so, this workshop will bring together researchers and practitioners from HCI, healthcare and related speech and chatbot domains to collaborate on these key challenges

Sheep mastitis Staphylococcus epidermidis biofilm effects on cell adhesion and inflammatory changes

Mastitis in sheep is an important disease as it causes a decrease in milk yield and quality. Staphylococcus epi- dermidis is recognized as the main cause of mastitis in sheep. Its ability to produce biofilm is believed to con- tribute to mammary gland pathology. The aim of this study was to assess the influence of S. epidermidis biofilm production on cell adhesion and on the inflammatory response of the mammary gland. A total of 109 S. epi- dermidis isolates from mastitic sheep milk samples were analyzed for in vitro slime production, assessed by Congo red agar test (CRA), and for biofilm formation, evaluated by tissue culture plate assay (TCP). The influence of biofilm production was estimated on the adherence of bacteria to mammary cells and on the mammary gland inflammatory reaction. Only 7.3% isolates produced slime on CRA and 8% produced biofilm according to TCP. The relation between slime production in CRA and biofilm production analyzed by TCP was highly significant (P < 0.001). The differences between biofilm production and different recorded inflammatory situations were non significant (P ≥ 0.05). Adherence to mammary epithelium cells ranged from 0.05% to 1.23%. Biofilm production was not related to cell adhesion. Moreover, S. epidermidis isolates that induced different degrees of inflammation did not express differences in their ability to adhere to mammary epithelium. The present study suggests that biofilm production by sheep mastitis S. epidermidis is unlikely to affect either cell adhesion or mammary gland in- flammatory response