ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms.

Data standardization promotes a common framework through which researchers can utilize others' data and is one of the leading methods neuroimaging researchers use to share and replicate findings. As of today, standardizing datasets requires technical expertise such as coding and knowledge of file formats. We present ezBIDS, a tool for converting neuroimaging data and associated metadata to the Brain Imaging Data Structure (BIDS) standard. ezBIDS contains four major features: (1) No installation or programming requirements. (2) Handling of both imaging and task events data and metadata. (3) Semi-automated inference and guidance for adherence to BIDS. (4) Multiple data management options: download BIDS data to local system, or transfer to OpenNeuro.org or to brainlife.io. In sum, ezBIDS requires neither coding proficiency nor knowledge of BIDS, and is the first BIDS tool to offer guided standardization, support for task events conversion, and interoperability with OpenNeuro.org and brainlife.io.

User-Centered Data Display for Clinicians to Diagnose and Manage Hypertension.

The accurate diagnosis and effective treatment of hypertension are hindered by challenges stemming from limited access to comprehensive blood pressure (BP) data and the need for clinical context surrounding BP readings. Using handwritten tables for home-monitored BP exacerbates issues related to integration of electronic health records (EHRs) and trend analysis. This study employs user-centered design principles to develop prototypes for BP data visualization, with the primary goal of harmonizing disparate BP data sources to empower clinicians in precise hypertension diagnosis and management.

A Patient-Centered Approach to Collecting and Displaying Patient Identifiers.

Patient identifiers such as name, date of birth, or gender are the first line of defense to ensure the accuracy of the health data displayed in health information exchange. Health data display is the impetus for clinical decisions and patient outcomes and directly correlates with promoting interoperability and health information exchange. Therefore, constant monitoring of quality metrics is imperative for clinical leaders to keep a pulse on what is happening within their organizations. However, the electronic health records (EHRs) designer should also take precautions to ensure the visualizations are not misleading, given that EHRs have been shown in some studies to lead to increased patient safety events.

Healthcare providers' understanding of data displays of clinical trial information: a scoping review of the literature.

BACKGROUND: Healthcare providers often encounter clinical trial results in the form of visual data displays. Although there is a robust literature on patient responses to data displays in medical settings, less is known about how providers comprehend and apply this information. Our study provides a scoping review of the literature on providers' reactions to and perceptions of data displays. METHODS: We searched article databases (PubMed, PsycINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library) supplemented by handsearching. Eligible articles were published in English from 1990 to 2020. RESULTS: We identified 15 articles meeting our criteria. Studies with physicians were more prevalent (13/15) than those with other healthcare providers (6/15). Commonly assessed outcomes included objective (10/15) and subjective comprehension (4/15), preference for certain data display formats (6/15), and hypothetical decision-making around prescribing (4/15). In studies that assessed comprehension of clinical trial concepts, scores were average or below what would be considered mastery of the information. Data display formats that were preferred did not always correlate with better comprehension of information; lesser preferred formats (e.g. icon array) often resulted in better comprehension. CONCLUSION: Our findings suggest that healthcare providers may not accurately interpret complex types of data displays, and it is unknown if such limitations affect actual decision-making. Interventions are needed to enhance comprehension of complex data displays within the context of prescription drug professional promotion.

Inpatient nurses' preferences and decisions with risk information visualization.

OBJECTIVE: We examined the influence of 4 different risk information formats on inpatient nurses' preferences and decisions with an acute clinical deterioration decision-support system. MATERIALS AND METHODS: We conducted a comparative usability evaluation in which participants provided responses to multiple user interface options in a simulated setting. We collected qualitative data using think aloud methods. We collected quantitative data by asking participants which action they would perform after each time point in 3 different patient scenarios. RESULTS: More participants (n = 6) preferred the probability format over relative risk ratios (n = 2), absolute differences (n = 2), and number of persons out of 100 (n = 0). Participants liked average lines, having a trend graph to supplement the risk estimate, and consistent colors between trend graphs and possible actions. Participants did not like too much text information or the presence of confidence intervals. From a decision-making perspective, use of the probability format was associated with greater concordance in actions taken by participants compared to the other 3 risk information formats. DISCUSSION: By focusing on nurses' preferences and decisions with several risk information display formats and collecting both qualitative and quantitative data, we have provided meaningful insights for the design of clinical decision-support systems containing complex quantitative information. CONCLUSION: This study adds to our knowledge of presenting risk information to nurses within clinical decision-support systems. We encourage those developing risk-based systems for inpatient nurses to consider expressing risk in a probability format and include a graph (with average line) to display the patient's recent trends.

Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review.

OBJECTIVE: Surveillance algorithms that predict patient decompensation are increasingly integrated with clinical workflows to help identify patients at risk of in-hospital deterioration. This scoping review aimed to identify the design features of the information displays, the types of algorithm that drive the display, and the effect of these displays on process and patient outcomes. MATERIALS AND METHODS: The scoping review followed Arksey and O'Malley's framework. Five databases were searched with dates between January 1, 2009 and January 26, 2022. Inclusion criteria were: participants-clinicians in inpatient settings; concepts-intervention as deterioration information displays that leveraged automated AI algorithms; comparison as usual care or alternative displays; outcomes as clinical, workflow process, and usability outcomes; and context as simulated or real-world in-hospital settings in any country. Screening, full-text review, and data extraction were reviewed independently by 2 researchers in each step. Display categories were identified inductively through consensus. RESULTS: Of 14 575 articles, 64 were included in the review, describing 61 unique displays. Forty-one displays were designed for specific deteriorations (eg, sepsis), 24 provided simple alerts (ie, text-based prompts without relevant patient data), 48 leveraged well-accepted score-based algorithms, and 47 included nurses as the target users. Only 1 out of the 10 randomized controlled trials reported a significant effect on the primary outcome. CONCLUSIONS: Despite significant advancements in surveillance algorithms, most information displays continue to leverage well-understood, well-accepted score-based algorithms. Users' trust, algorithmic transparency, and workflow integration are significant hurdles to adopting new algorithms into effective decision support tools.

[Studies on the Effectiveness of High-luminance Monitors in Mammography Softcopy Interpretation].

PURPOSE: Recently, monitors with maximum luminance exceeding 2000 cd/m2 (high-luminance monitor) have been used for diagnostic mammography. In this study, we examined the visibility of high-luminance monitors by converting luminance meter measurements into the just noticeable difference (JND) Index. The ambient light was also examined at the same time. METHOD: The high-luminance monitor is a 21.3-inch IPS monochrome monitor with a maximum luminance of 3000 cd/m2. Experiments were conducted with a minimum luminance of 0.6 cd/m2 and a maximum luminance of 500, 850, and 1200 cd/m2. The luminance ratio was set to 1 : 2000 and the maximum luminance was changed to 500, 1000, and 2000 cd/m2. The ambient light was varied to 8.7, 36.1, 61.3, and 129.6 lx. The Japan Radiological Society recommended luminance values for each stage of phantom and Grayscale Standard Display Function curves were measured. RESULT: The JND increased as the maximum luminance was increased for both the case with the same minimum luminance and the case with the same luminance ratio, and visibility was improved. CONCLUSION: In both the case of the same minimum luminance and the case of the same luminance ratio, the JND was found to increase as the maximum luminance was increased. The results suggest that high-luminance monitors may improve visibility and allow for higher ambient light settings. Furthermore, the degree of eye fatigue needs to be verified.

Graphical Representation of Lipid Panel: A Simplified Time-Series Data Display.

High cholesterol is a risk factor for developing Atherosclerotic Cardiovascular Disease. Poorly designed health data displays cause an undue cognitive burden on clinicians. Simplified line graphs (i.e., sparklines) could support efficient cognitive processing and interpretation of lipid panel results. Clinical concepts for cognitive tasks assessing low-density lipoprotein laboratory results were analyzed according to their internal representations and data scale types. A sparkline external representation aligns more closely with the internal representations for mental tasks associated with identifying abnormalities and assessing trends compared to traditional tabular displays. By simplifying the health data display with sparklines, faster cognitive processing is theoretically supported.

[Display Performance of X-ray Image Output from DICOM-embedded Printer to Paper-based Hard Copy Print: Comparison with X-ray Image on LCD].

PURPOSE: We have been using a paper-based hard copy print (paper print) system of X-ray images, in which digital imaging and communications in medicine (DICOM) data can be directly output on papers from medical imaging systems or from a picture archiving and communication system (PACS) server, and they are utilized as patient referral materials or for preoperative planning. The purpose of this study was to compare the display performance of X-ray images on the printed paper and that on the liquid crystal display (LCD). METHODS: We measured contrast response to verify consistency of image appearance on both display systems. The contrast resolution was assessed by a CDRAD phantom. The spatial resolution was assessed by an X-ray test chart. RESULTS: The contrast response of the paper printer was not concordant with the grayscale standard display function (GSDF). The difference between the measured contrast response and the ideal GSDF on the paper was large in the high-density area. The low-contrast resolution on the paper was inferior to that on the LCD. The spatial resolving power on the paper was superior to that on the LCD. CONCLUSION: The display performance of the paper printer for X-ray images was clarified. X-ray images printed on the paper should be used carefully taking account of their characteristics of display performance.

Complexity of Data Displays in Prescription Drug Advertisements for Healthcare Providers.

BACKGROUND: Healthcare providers (HCPs) often encounter clinical trial results in the form of data displays in prescription drug promotions. Information conveyed in data displays vary in their presentation and complexity. This study describes characteristics of data displays in prescription drug advertising targeted to HCPs. METHODS: This study characterized the content of 140 data displays in 98 unique print advertisements from 2009 to present and identified in AdPharm, an online database of pharmaceutical advertisements. Two reviewers independently coded the advertisements for characteristics (κ = 0.85) including complexity, format, and quality. RESULTS: About one-third (32%) of the advertisements contained multiple data displays (range 2 to 6) and 44% showed clinical data from oncology trials; other disease domains were mental and behavioral health (14%), rheumatology and autoimmune disorders (8%), endocrinology (7%), cardiology (6%), infectious disease (6%), pulmonology and allergy (4%), and others (< 2% each). About one-half (51%) of displays were classified as "simple" which included "pseudographs" and basic tables or charts. "Complex" displays appeared as survival curves, line graphs, or bar graphs with complex features. Most complex displays included a comparator drug (90%), plain language restatement of the key finding (93%) and disclosure statements (91%) with additional study details, although their placement varied. Complex displays were of high quality, according to our selected indicators; our analysis found no data distortion or errors. CONCLUSION: Data displays in prescription drug advertising are often highly complex. Future research assessing understanding of data displays and the potentially beneficial effect of disclosures and other features is warranted.

Display Characterization for Contrast Sensitivity Testing.

SIGNIFICANCE: Contrast sensitivity measurements using a computer display have been reported to lack accuracy when displaying small contrasts. This report investigates if the characterization/calibration of display luminance may contribute substantively to these kinds of described inaccuracies. PURPOSE: This study aimed to investigate what errors in contrast sensitivity may result from characterizing a display by fitting a gamma curve through physical or psychophysical luminance measurement data. METHODS: The luminance functions of four different in-plane switching liquid crystal displays (IPS LCDs) have been measured for all 256 gray levels (the actual luminance function). This has been compared with a gamma-fitted luminance curve (the gamma luminance function). Calculated are the errors in displayed contrast that may arise when assuming the gamma luminance function instead of the actual luminance function. RESULTS: The amount of error differs considerably between the displays. In general, for large contrasts (Michelson log CS <1.2), the error is acceptable (<<0.15 log unit). However, for smaller contrasts (Michelson log CS >1.5), the error may become unacceptably high (>0.15 log unit). CONCLUSIONS: To improve the accuracy of testing contrast sensitivity with an LCD, it is necessary to fully characterize the display, measuring the luminance of each gray level instead of fitting a smooth gamma function through limited luminance data.

Examining Potential User Experience Trade-Offs Between Common Computer Display Configurations.

OBJECTIVE: To determine how ultrawide (UW) and dual displays configurations can influence neck biomechanics and performance compared to a single display. BACKGROUND: Studies have assessed neck kinematics and performance when using dual displays, but these studies have used screen sizes smaller than today's display size, have inconsistent participant placement, and few have assessed these two variables together. METHODS: Seventeen participants completed five tasks on six display configurations. Neck kinematics and performance were tracked for each configuration. RESULTS: Centered configurations produced significantly different median neck rotation angles compared to secondary configurations (p < .001) for three of the tasks. A 34" curved UW display with a longer viewing distance produced similar neck kinematics to a single 24" display with the potential to also reduce screen interactions. When compared to single, the benefit of secondary versus centered monitors was dependent on the type of task being performed. Users may prefer the UW, centered dual, and secondary dual configurations over the single display. CONCLUSION: The benefit of secondary versus centered displays is dependent on the type of task being performed. Dual displays are still beneficial but should be used with a monitor arm to switch between centered and secondary configurations as necessary. Future work should look at larger UW displays to see if these results hold compared to dual display configurations. APPLICATION: The results can be used to make evidence-based guidelines for displays based on size and task. Researchers can use this information to design future studies looking at specific configurations.

Slope Identification and Decision Making: A Comparison of Linear and Ratio Graphs.

Applied behavior analysts have traditionally relied on visual analysis of graphic data displays to determine the extent of functional relations between variables and guide treatment implementation. The present study assessed the influence of graph type on behavior analysts' (n = 51) ratings of trend magnitude, treatment decisions based on changes in trend, and their confidence in decision making. Participants examined simulated data presented on linear graphs featuring equal-interval scales as well as graphs with ratio scales (i.e., multiply/divide or logarithmic vertical axis) and numeric indicators of celeration. Standard rules for interpreting trends using each display accompanied the assessment items. Results suggested participants maintained significantly higher levels of agreement on evaluations of trend magnitude and treatment decisions and reported higher levels of confidence in making decisions when using ratio graphs. Furthermore, decision making occurred most efficiently with ratio charts and a celeration value. The findings have implications for research and practice.

Development of liquid crystal displays and related improvements to their performances.

This review article comprises three contents: 1) a general introduction of liquid crystals (LCs) and their chronological developments until their current status, 2) the descriptions of the achievements of defect-free and optically high-quality LC displays (LCDs), and 3) the description of the new and alternative methods for improving existing LCD technologies in terms of high-speed response, viewing angles, and power consumption through nanoparticle doping and optical compensation on a laboratory level. When these technologies are successfully developed, they will be used in the industry, where the fabrication process will be performed in a large-clean room using automated robotics.

Optimum display luminance under a wide range of ambient light for cockpit displays.

The self-luminous cockpit displays need to be adaptive to a wide range of ambient light levels, which changes from very low illuminance to very high levels. Yet, current studies on evaluation and luminance setting of displays in bright surroundings are still limited. In this study, a three-dimensional visual ergonomic experiment was carried out to investigate how bright a cockpit display should be to meet aircrew operational requirements under different illuminance. A lab study with a within-subjects (N = 12) design was conducted in a simulated cockpit. According to the Weber-Fechner's Law, human observers evaluated five display luminance conditions (101, 101.5, 102, 102.5, 103 cd/m2) under five ambient illuminance conditions (10°, 101, 102, 103, 104 lx). Visual performance, visual fatigue and visual comfort were used as evaluation bases, which were measured by d2 task, subjective fatigue questionnaire and visual perception semantic scales. Nonlinear function fitting was used to calculate the optimal luminance under a certain illuminance. Finally, curvilinear regression was used to analyze the illuminance and its corresponding optimal luminance. Based on Silverstein luminance power function, a luminance adjustment model with the form of power function was obtained. The proposed three-dimensional model fits the experimental data well and is consistent with the existing studies. It can be regarded as a supplement and optimization of the previous model under high ambient illuminance. This study can contribute not only to the pleasing luminance setting of panel displays in aircraft cockpits but also to other self-luminous devices, such as tablet devices, outdoor monitoring equipment and advertising screens.

Business Intelligence Dashboards for Patient Safety and Quality: A Narrative Literature Review.

Business Intelligence (BI) dashboards are interactive data visualization displays identifying key patient quality and safety trends and metrics. Yet, it remains unclear whether dashboards are impacting clinical care for desired organizational outcomes. In this paper we summarize the positive and negative impacts of dashboards on safety and quality from the literature and those insights are used to develop a dashboard checklist tool. The research involved 3 phases. In Phase 1 a narrative literature review used "Dashboards AND ("Patient Safety" OR "Quality")" as primary search terms. In Phase 2, A SWOT (strengths, weaknesses, opportunities, threats) analysis was conducted based on the findings from the previous phase. Strengths and opportunities included focusing on metrics, clear goals, routine data review processes, transparency, quality improvement interventions and centralized monitoring. Weaknesses and threats included usability issues, cultural barriers, wrong metrics, tunnel vision and siloed development. Phase 3 involves translating the SWOT analysis to a checklist for evidence informed dashboard development and deployment.

A User-Centered Evaluation of a COVID-19 Intelligent Query System (COVID-IQS).

As the fight against COVID-19 continues, it is critical to discover and accumulate knowledge in scientific literature to combat the pandemic. In this work, we shared the experience in developing an intelligent query system on COVID-19 literature. We conducted a user-centered evaluation with 12 researchers in our institution and identified usability issues in four categories: distinct user needs, functionality errors, suboptimal information display, and implementation errors. Furthermore, we shared two lessons for building such a COVID-19 literature search engine. We will deploy the system and continue refining it through multiple phases of evaluation to aid in redesigning the system to accommodate different user roles as well as enhancing repository features to support collaborative information seeking. The successful implementation of the COVID-IQS can support knowledge discovery and hypothesis generation in our institution and can be shared with other institutions to make a broader impact.

Dual-task interference while receiving information on a head mounted display and manual tracking with and without auditory warnings.

BACKGROUND: Dual-task interference is a concern when users attempt to use head mounted displays (HMD) while performing seated manual control tasks. Auditory warnings of information displayed on the HMD may or may not assist users while multi-tasking. OBJECTIVE: In this study, we investigated the dual-task interference of words, to be remembered later, presented on a HMD and motor control in a manual tracking task. The word presentations were warned or not warned with auditory signals and the impact of audio warnings were examined. METHODS: Participants were required to perform five tasks: (1) a compensatory tracking task performed alone, (2) a word memory task performed alone, (3) a tracking and word memory task, (4) a word memory task with words preceded by audial signals, and (5) a tracking and word memory task with words preceded by audial signals. In addition, in the dual-tasks, half of the word presentations were paired with directions changes in the tracking task to test for immediate perceptual interference. RESULTS: There were significant dual task costs for both mean tracking error and later word recall. Additionally, participants took significantly longer to respond to motion changes paired with word presentations than motion changes not paired with word presentations. However, the impact of auditory warnings on tracking performance was nuanced. CONCLUSION: Even with an in field of view transparent HMD momentary and sustained cognitive dual-task interference remains. Reaction times are affected most in the worst case scenario, when task critical events occur at the same time as a text message. APPLICATION: The use of HMDs in time critical manual control tasks (such as operating machinery) should be limited. The use of audial warnings to alert operators to information displayed on an HMD requires further research; it may disrupt appropriate or natural task ordering.