Dashboard Data Research Articles

Telling Their Story with Data: What Academic Research Libraries Share on Their Websites

Communicating library data with external stakeholders is a growing area of importance in the profession, and library websites provide an easy way of disseminating this information. Determining the types of data that will be most impactful in telling a library’s story is vital to an effective online data display. This research project reviewed the websites of 143 academic research libraries to determine if the libraries were publicly sharing general library data via a dashboard or other data display. For those libraries sharing data, information was recorded on the types of data shared, the types of data visualizations utilized, the age of the data presented, and whether multi-year trends were represented. The results showed that just under half of the academic research libraries in the study population had general library data displays on their websites. Most focused on traditional types of library data, such as collection size, reference and help desk interactions, instruction sessions, and circulation numbers for physically-held materials. Data visualizations were used infrequently.

Is Fitbit Charge 2 a feasible instrument to monitor daily physical activity and handbike training in persons with spinal cord injury? A pilot study.

It is a longitudinal pilot study. To investigate the feasibility of a low-cost and widely used fitness tracker with step count and heart rate data to monitor daily physical activity in wheelchair users with spinal cord injury (SCI). Dutch community. Six participants with SCI who were in training for a handbike event were recruited. They were asked to wear a Fitbit Charge 2® 24 h a day for at least 2 weeks and were questioned about the utility and user-friendliness of this device. Five out of six participants managed to wear the device nonstop for 2 weeks, and continued to wear the device after this initial period. Most participants were enthusiastic about the direct feedback provided by the tracker and reported the data to be accurate. Data collected during more than 2 months of three participants and during 8 months on one of them showed the possibility of detecting training days and observing interpersonal and intrapersonal variation in daily physical activity level. A commercially available, low-cost, self-monitoring multi-sensor wrist device or a fitness tracker like the Fitbit Charge 2® can be a promising instrument to monitor daily activity levels among wheelchair users with SCI. The free commercial dashboard and log data clearly show trends of variations in physical activity and increases in heart rate, which are of value to both researchers and clinicians interested in identifying training schedules of wheelchair athletes.

Improved 30 day Readmission Rates Following Institution of Heart Failure Treatment Algorithms

Introduction The 30 day readmission rate currently remains the standard by which the quality of heart failure (HF) care is measured by Medicare. In 2013 a HF program was implemented at our institution. As part of this program HF treatment algorithms and processes were revised and promoted (Figure). New concepts included encouraging use of diuretics with higher bioavailability such as bumetanide or torsemide, and confirming adequate urine output (UO) on oral (PO) diuretics for a minimum of 24 hours prior to discharge. Methods Quality dashboard data was collected for 110 patients admitted for HF in 2013 in the 2 months before implementation of the HF program and compared to 80 patients admitted in January and February of 2018. Data was compared using the T-test and Z-score calculators. Results 30 day readmission rates between 2013 and 2017 gradually decreased from 20% to 15%, p=0.019. The proportion of patients who were discharged on either bumetanide or torsemide increased from 20% (2013) to 59% (2018), p 1500 mL in the 24 hours prior to discharge (45% versus 18.3%, p Conclusion Implementation of a HF program resulted in improved 30 day readmissions that were likely the result of promoting and teaching new concepts about diuresis at our institution.

Analisa Visualisasi Data Akademik Menggunakan Tableau Big Data

This research explains the benefits of data analysis by visualizing Big data in performing optimization in the academic management environment. The data used is academic information system database that related with student status. In this study the authors use Tableau tools to perform data analysis based on the number of students worksheet, student status, student name table and generate student dashboard data. The results of the analysis obtained by using visualization in bemtuk management graph is very fast and optimize data processing so mengatahui the development of academic database situation.

Business Intelligence Model to Analyze Social Media Information

Social media is a platform to share information that is very liked by everyone nowadays because some of the facilities that make it easier for us to communicate with each other, share documents, chat and even create a community. In addition, we can also analyze the content of social media by using several methods in data mining, so that we can get new the information to support decision making that can bring benefits to individuals and companies. The purpose of this research, to create a business intelligence dashboard to observe the performance of each Topic or channel of news posted to social media accounts such as Facebook and Twitter. Topical performance in social media is the number of Topics in articles posted to social media getting like, share, comment etc. To be able to know the Topic of a news post in social media, used some text classification techniques such as Naive Bayes, SVM and Decision Tree. The comparative results of the algorithms are taken which has the best accuracy of SVM for subsequent implementation in the data warehouse. Meanwhile, the business intelligence dashboard data source will be sourced from the data warehouses that have been made before.

119 Development of a Clinical Performance Dashboard to Empower Resident Education

To develop an emergency medicine (EM) resident clinical dashboard to address the need for more objective and formative feedback in medical education. This dashboard contains high-impact visual displays of select performance measures for EM residents based on data extracted from the electronic medical record (EMR). This was a feasibility study conducted at a four-year EM residency program at an academic tertiary care center. Resident performance data from July-Nov 2016 were extracted from the EMR. Residents’ names were replaced with a random two-letter code (“AA,” “DE,” etc) to protect resident confidentiality. A business analytics software was used to calculate 4 performance measures, or key performance indicators (KPIs). KPIs were designed to 1) reflect state or nationally reported quality metrics; 2) represent metrics supported by the American College of Emergency Physicians (ACEP) Clinical Emergency Data Registry (CEDR); or 3) represent Accreditation Council for Graduate Medical Education (ACGME) EM Milestones. These KPI were coded into an interactive interface to create the EM resident clinical Dashboard. Data filters were added to allow visualization based on resident training level, patient acuity, and ED location. Descriptive statistics were calculated for each KPI. We developed a prototype interactive clinical dashboard measuring the following KPIs: admission rate, time to disposition and time to discharge. Interactive graphs were generated for each KPI, and residents were ranked and color-coded by tertile for easy visual interpretation (see accompanying figure for example). Different colors were assigned to the top-performing tertile (lowest admission rates, shortest disposition and discharge times, and highest sepsis protocol compliance), the middle tertile, and the bottom tertile. For all patients, the average admission rate was 20% for PGY1s, 23% for PGY2s, 29% for PGY3s, and 23% for PGY4s. average time to disposition in minutes was 338 for PGY1s, 218 for PGY2s, 226 for PGY3s, and 216 for PGY4s. Average Time to Discharge in minutes was 436 for PGY1s, 305 for PGY2s, 310 for PGY3s, and 272 for PGY4s. In this feasibility study, we demonstrated that an EM Clinical resident dashboard can be generated from EMR data to display and manipulate resident performance measures across multiple KPIs. We hope that such a Dashboard can be further developed as an innovative tool to enhance and supplement usual feedback in order to improve resident learning and career preparedness. Future research plans include a pre-post analysis of resident behavior after incorporation of the dashboard into ACGME-mandated performance review sessions, the inclusion of additional KPIs such as opioid prescribing practices and CT utilization, and using objective dashboard data to quantify measures of competency within the ACGME Milestones.

The Creation of a Pediatric Hospital Medicine Dashboard: Performance Assessment for Improvement.

Leaders of pediatric hospital medicine (PHM) recommended a clinical dashboard to monitor clinical practice and make improvements. To date, however, no programs report implementing a dashboard including the proposed broad range of metrics across multiple sites. We sought to (1) develop and populate a clinical dashboard to demonstrate productivity, quality, group sustainability, and value added for an academic division of PHM across 4 inpatient sites; (2) share dashboard data with division members and administrations to improve performance and guide program development; and (3) revise the dashboard to optimize its utility. Division members proposed a dashboard based on PHM recommendations. We assessed feasibility of data collection and defined and modified metrics to enable collection of comparable data across sites. We gathered data and shared the results with division members and administrations. We collected quarterly and annual data from October 2011 to September 2013. We found comparable metrics across all sites for descriptive, productivity, group sustainability, and value-added domains; only 72% of all quality metrics were tracked in a comparable fashion. After sharing the data, we saw increased timeliness of nursery discharges and an increase in hospital committee participation and grant funding. PHM dashboards have the potential to guide program development, mobilize faculty to improve care, and demonstrate program value to stakeholders. Dashboard implementation at other institutions and data sharing across sites may help to better define and strengthen the field of PHM by creating benchmarks and help improve the quality of pediatric hospital care.

A Randomized Implementation Study of Trauma-Focused Cognitive Behavioral Therapy for Adjudicated Teens in Residential Treatment Facilities.

Adjudicated youth in residential treatment facilities (RTFs) have high rates of trauma exposure and post-traumatic stress disorder (PTSD). This study evaluated strategies for implementing trauma-focused cognitive behavioral therapy (TF-CBT) in RTF. Therapists (N = 129) treating adjudicated youth were randomized by RTF program (N = 18) to receive one of the two TF-CBT implementation strategies: (1) web-based TF-CBT training + consultation (W) or (2) W + 2 day live TF-CBT workshop + twice monthly phone consultation (W + L). Youth trauma screening and PTSD symptoms were assessed via online dashboard data entry using the University of California at Los Angeles PTSD Reaction Index. Youth depressive symptoms were assessed with the Mood and Feelings Questionnaire-Short Version. Outcomes were therapist screening; TF-CBT engagement, completion, and fidelity; and youth improvement in PTSD and depressive symptoms. The W + L condition resulted in significantly more therapists conducting trauma screening (p = .0005), completing treatment (p = .03), and completing TF-CBT with fidelity (p = .001) than the W condition. Therapist licensure significantly impacted several outcomes. Adjudicated RTF youth receiving TF-CBT across conditions experienced statistically and clinically significant improvement in PTSD (p = .001) and depressive (p = .018) symptoms. W + L is generally superior to W for implementing TF-CBT in RTF. TF-CBT is effective for improving trauma-related symptoms in adjudicated RTF youth. Implementation barriers are discussed.

Data‐Driven Storytelling: The Missing Link in HR Data Analytics

Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ert.21471 27 is from a C-level executive who had experienced his first ever one-on-one data meeting with an HR data team. After reviewing the newly created dashboard data, he relayed his impression of it to me: “It’s really cute that HR has data now.” As someone who has been in the HR field for over 30 years, and who is a true believer in the power of data to drive decision making, that remark seemed like a crushing blow to all the good work that has been achieved in the area of HR analytics. All the good work goes down the drain quickly when a senior leader, with a loud corporate voice, has a bad experience. That is the ugly.

The Use of Dashboards in Performance Management: Evidence from Sales Managers

The purpose of this paper is to identify and empirically examine the key features, purposes, uses, and benefits of performance dashboards. We find that only about a quarter of the sales managers surveyed in Finland used a dashboard, which was lower than previously reported. Dashboards were used for four distinct purposes: (i) monitoring, (ii) problem solving, (iii) rationalizing, and (iv) communication and consistency. There was a high correlation between the different uses of dashboards and user productivity indicating that dashboards were perceived as effective tools in performance management, not just for monitoring ones own performance but for other purposes including communication. The quality of the data in dashboards did not seem to be a concern (except for completeness) but it was a critical driver regarding its use. This is the first empirical study on performance dashboards in terms of adoption rates, key features, and benefits. The study highlights the research potential and benefits of dashboards, which could be valuable for future researchers and practitioners.

“16T”: toward a dynamic vendor evaluation model in integrated SCM processes

PurposeThe purpose of this paper is to provide a “trait based approach” for vendor selection and evaluation for expensive procurements in large businesses through a simple and easy‐to‐use mathematical model using safety, quality, delivery and cost criteria. Design/methodology/approach – We use 16 traits addressing safety (S), quality (Q), delivery (D) and cost (C) areas for evaluating performance of a vendor on a linear 10 point scale. We start with evaluating each “supplier‐supply item” combination and compute gross averages for each of the SQDC areas and finally arrive at an “Overall Performance Index” for each supplier‐supply item combination. These indices form a “Vendor Performance Dashboard” for decision making. Findings – The case study shows that the proposed method is quick and easy to adopt, and provides a logical framework for vendor selection and management, based on performance in the four critical (SQDC) areas. Research limitations/implications – A lot of monotonous computations are required for the proposed vendor evaluation process. Hence, the scope for software development warrants further investigation. There is also a need to develop a process for weighting the different SQDC elements for application in different industry/market contexts. Originality/value – This paper presents a unique and simple approach for generating dashboard data for decisions regarding evaluation of vendors and distribution of sub‐contracts in a dynamic technology intensive market with practical examples. The proposed model for vendor selection and determination of order sizes is less dependent on complex algorithms and more practical and logically framed than existing models.