Impact of data visualization on decision-making and its implications for public health practice: a systematic literature review

Park, Seungeun; Bekemeier, Betty; Flaxman, Abraham D.; Schultz, Melinda

doi:10.1080/17538157.2021.1982949

Cited by 42 publications

(26 citation statements)

References 32 publications

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“…Data visualization has played an important role in helping understand data, enhancing communication [ 20 ], or help the decision-making process to make better decisions [ 21 , 22 ]. Visualizations are also known to lower the cognitive load [ 23 ] which can allow users to glance through the data, but still getting a proper understanding while using mobile applications.…”

Section: Related Workmentioning

confidence: 99%

A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities

Kim

2022

IJERPH

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Due to the development of sensing technology people can easily track their health in various ways, and the interest in personal healthcare data is increasing. Individuals are interested in controlling their wellness, which requires self-awareness and an understanding of various health conditions. Self-generated health data are easily accessed through mobile devices, and data visualization is commonly used in applications. A systematic literature review was conducted to better understand the role of visualizations and learn how to develop effective ones. Thirteen papers were analyzed for types of data, characteristics of visualizations, and effectiveness for healthcare management. The papers were selected because they represented research on personal health data and visualization in a non-clinical setting, and included health data tracked in everyday life. This paper suggests six levels for categorizing the efficacy of visualizations that take into account cognitive and physical changes in users. Recommendations for future work on conducting evaluations are also identified. This work provides a foundation for personal healthcare data as more applications are developed for mobile and wearable devices.

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Section: Related Workmentioning

confidence: 99%

A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities

Kim

2022

IJERPH

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“…Various information systems can help decision makers in such an effort presenting an adequate and understandable visualization approach in an appropriate way (Burnay et al, 2019;Po et al, 2020). Similarly, (Park et al, 2021) have analyzed 16 studies in which they found that visualization seems to bring advantages by increasing the amount of information delivered reducing the cognitive and the intellectual burden to interpret the information for decision making. Data visualization can also be misleading.…”

Section: Review Of Literaturementioning

confidence: 99%

Visualization, Serious Games and Decision Making

Benitez

Herrera²,

Pacheco³

et al. 2022

ECGBL

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One of the most important objectives of serious games is to detonate behavioral changes of participants. Serious games generate engagement, they are meaningful, entertaining, and immersive. However, when the game represents a complex system, it contains a great number of variables and the relationship between its decision components are not entirely clear. Consequently, it is necessary to offer a set of tools that increase the data visualization of the players and help in the decision-making process must be provided. In our university, logistics professors have designed a simulator for logistics decision making. On the one hand, the game has gained acceptance from the student community, but on the other hand, several students do not accomplish a satisfactory performance. Therefore, these students fail to notice lots of variable interrelationships in the game, and they do not develop the skill required to follow a good decision-making process. The goal is two folded. On the one hand, the improvement of the participant's comprehension of a complex logistical system must be reached. On the other hand, the clarity on the decision-making process has to be laid out. A set of visualization support tools were created to accomplish those objectives. Neither of the tools aim to influence the decision-making process nor to show decision alternatives to the participant, but to highlight a few key performance indicators, constraints, and data that the students can use when making the decisions. In this paper it is presented how the participants have improved their understanding about the logistic system represented in the game, when the support tools are used. Moreover, their motivation has increased, they are more involved and committed to learn. Overall, their decision-making strategies have been modified and they have shown a better comprehension of the game structure. This paper contributes to underline the importance of visualization in student's learning, considering that currently big data, industry 4.0, as well as internet of things have gained a significant relevance in our everyday life. The design of strategic games involving these new variables are necessary. The more complex a system, the greater the number of visualization tools to strengthen the comprehension of the system are required.

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“…Public health professionals in provincial and local health departments engage in complex cognitive tasks to make the best possible decisions for resource allocation and public health planning. They do this based on their understanding of the current health status of their population, the factors that influence the health of the population and assess which interventions will work to address the health issues within the population based on available data 12 14 15. Evidence-based decision support tools, which use objective data to support the expertise of a decision-maker have been employed in many domains.…”

Section: Introductionmentioning

confidence: 99%

“…Evidence-based decision support tools, which use objective data to support the expertise of a decision-maker have been employed in many domains. Such tools have the potential to support public health professionals by answering complex questions, such as, what makes certain demographic groups within a population healthier than others 14…”

Section: Introductionmentioning

confidence: 99%

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Human factors applications in the design of decision support systems for population health: a scoping review

et al. 2022

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IntroductionPublic health professionals engage in complex cognitive tasks, often using evidence-based decision support tools to bolster their decision-making. Human factors methods take a user-centred approach to improve the design of systems, processes, and interfaces to better support planning and decision-making. While human factors methods have been applied to the design of clinical health tools, these methods are limited in the design of tools for population health. The objective of this scoping review is to develop a comprehensive understanding of how human factors techniques have been applied in the design of population health decision support tools.Methods and analysisThe scoping review will follow the methodology and framework proposed by Arksey and O’Malley. We include English-language documents between January 1990 and August 2021 describing the development, validation or application of human factors principles to decision support tools in population health. The search will include Ovid MEDLINE: Epub Ahead of Print, In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily and Ovid MEDLINE 1946–present; EMBASE, Scopus, PsycINFO, Compendex, IEEE Xplore and Inspec. The results will be integrated into Covidence. First, the abstract of all identified articles will be screened independently by two reviewers with disagreements being resolved by a third reviewer. Next, the full text for articles identified as include or inconclusive will be reviewed by two independent reviewers, leading to a final decision regarding inclusion. Reference lists of included articles will be manually screened to identify additional studies. Data will be extracted by one reviewer, verified by a second, and presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews.Ethics and disseminationEthics approval is not required for this work as human participants are not involved. The completed review will be published in a peer-reviewed, interdisciplinary journal.

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Impact of data visualization on decision-making and its implications for public health practice: a systematic literature review

Cited by 42 publications

References 32 publications

A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities

A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities

Visualization, Serious Games and Decision Making

Human factors applications in the design of decision support systems for population health: a scoping review

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