Improving the Quality of Visualization Dashboards in Critical Care: A Mixed-Methods Study

From Data to Improvement: Social Mechanisms as a Key to Understanding Dashboard Adoption

Research on dashboard adoption has focused on technical and design requirements. Evidence on social mechanisms for successful dashboard adoption is scarce. This study examined 2 quality dashboards in a similar organizational context with different outcomes. The research question was: How do social mechanisms influence the adoption of dashboards in practice? This embedded case study within one Dutch hospital in 2 phases: (1) interviews and observations to identify social mechanisms in the end-user's team and (2) expert focus groups to validate identified mechanisms. Data were transcribed verbatim and analyzed thematically, resulting in the identification of 3 social mechanisms within the team of end-users influencing dashboard adoption: cultivating a supportive team climate, trust, and leadership behavior in end-users' teams. These mechanisms stimulate a learning environment for discussing and improving care quality. They require action from individuals and teams, so dashboards can be used for collective understanding, learning, and improving. Without these social mechanisms, dashboards remain an unadopted "materiality."

From an Informatics Lens: Dashboards for Hospital Nurse Managers Influencing Unit Patient Outcomes

Dashboards display hospital quality and patient safety measures aimed to improve patient outcomes. Although literature establishes dashboards aid quality and performance improvement initiatives, research is limited from the frontline nurse manager's perspective. This study characterizes factors influencing hospital nurse managers' use of dashboards for unit-level quality and performance improvement with suggestions for dashboard design. Using a descriptive qualitative design, semistructured interviews were conducted with 11 hospital nurse managers from a health system in the Midwestern United States. Thematic analysis was used to describe four perceived factors influencing dashboard use: external, data, technology features, and personal. External factors included regulatory standards, professional standards of care, organizational expectations, and organizational resources. Data factors included dashboard data quality and usefulness. Technology features included preference for simple, interactive, and customizable visual displays. Personal factors included inherent nurse manager qualities and knowledge. Guidelines for dashboard design involve display of required relevant quality measures that are accurate, timely, useful, and usable. Future research should involve hospital nurse managers in user-centered design to ensure dashboards are favorable for use. Further, opportunities exist for nurse manager informatics training and education on dashboard use in preparation for their role and responsibilities in unit-level quality and performance improvement.

Quality Dashboards in Hospital Settings: A Systematic Review With Implications for Nurses

BACKGROUND

Dashboards visually display quality and safety data to aid nurses in making informed decisions.

PURPOSE

This systematic review evaluated quality improvement (QI) dashboard characteristics associated with interventions to improve patient outcomes and positive end-user evaluation.

METHODS

Literature was searched from 2012 to 2022 in PubMed, CINAHL, Scopus, MEDLINE, and Google Scholar.

RESULTS

Sixteen articles were included. Varied dashboard characteristics were noted, with mixed patient outcomes and end-user responses. Graphs and tabular presentations were associated with improved patient outcomes, whereas graphs were associated with end-user satisfaction. Benchmarks were noted with improved patient outcomes but not end-user satisfaction. Interactive dashboards were important for end users and improved patient outcomes.

CONCLUSION

Nurses can find dashboards helpful in guiding QI projects. Dashboards may include graphs and/or tables, benchmarks, and interactivity but should be useful, usable, and aligned to unit needs. Future research should focus on the use of quality dashboards in nursing practice.

Building a NICU quality & safety infrastructure

The American Academy of Pediatrics (AAP) Standards for Levels of Neonatal Care, published in 2023, highlights key components of a Neonatal Patient Safety and Quality Improvement Program (NPSQIP). A comprehensive Neonatal Intensive Care Unit (NICU) quality and safety infrastructure (QSI) is based on four foundational domains: quality improvement, quality assurance, safety culture, and clinical guidelines. This paper serves as an operational guide for NICU clinical leaders and quality champions to navigate these domains and develop their local QSI to include the AAP NPSQIP standards.

Requirements and challenges of hospital dashboards: a systematic literature review

Background

Today, the use of data in administrative and clinical processes is quite challenging due to the large volume of data, data collection from various sources, and lack of data structure. As a data management tool, dashboards play an important role in timely visual display of critical information on key performances.

Objectives

This systematic review aimed to identify functional and non-functional requirements, as well as challenges of using dashboards in hospitals.

Methods

In this systematic review, four databases, including the Web of Science, PubMed, EMBASE, and Scopus, were searched to find relevant articles from 2000 until May 30, 2020. The final search was conducted on May 30, 2020. Data collection was performed using a data extraction form and reviewing the content of relevant studies on the potentials and challenges of dashboard implementation.

Results

Fifty-four out of 1254 retrieved articles were selected for this study based on the inclusion and exclusion criteria. The functional requirements for dashboards included reporting, reminders, customization, tracking, alert creation, and assessment of performance indicators. On the other hand, the non-functional requirements included the dashboard speed, security, ease of use, installation on different devices (e.g., PCs and laptops), integration with other systems, web-based design, inclusion of a data warehouse, being up-to-data, and use of data visualization elements based on the user’s needs. Moreover, the identified challenges were categorized into four groups: data sources, dashboard content, dashboard design, implementation, and integration in other systems at the hospital level.

Conclusion

Dashboards, by providing information in an appropriate manner, can lead to the proper use of information by users. In order for a dashboard to be effective in clinical and managerial processes, particular attention must be paid to its capabilities, and the challenges of its implementation need to be addressed.