Advancing the science of visualization of health data for lay audiences.
Author(s): Arcia, Adriana, Benda, Natalie C, Wu, Danny T Y
DOI: 10.1093/jamia/ocad255
Author(s): Arcia, Adriana, Benda, Natalie C, Wu, Danny T Y
DOI: 10.1093/jamia/ocad255
To create and evaluate a public health informatics tool, Florence, for communicating information to the public.
Author(s): Cullen, Riley, Heitkemper, Elizabeth, Backonja, Uba, Bekemeier, Betty, Kong, Ha-Kyung
DOI: 10.1093/jamia/ocad105
The Advanced Visualization Branch of the National Institute of Nursing Research uses computer technologies to study information visualization in support of self-care management. Advanced technologies, such as immersive virtual reality (IVR), afford researchers the opportunity to study health information visualization where user-initiated information search in visually dense settings precedes acquisition, interpretation, and use. While IVR has broad applicability in healthcare, we chose to target lay people managing chronic disease because [...]
Author(s): Ferguson, Allyson, Goldsmith, Denise M, Flatley Brennan, Patricia
DOI: 10.1093/jamia/ocad103
Availability of easy-to-understand patient-reported outcome (PRO) trial data may help individuals make more informed healthcare decisions. Easily interpretable, patient-centric PRO data summaries and visualizations are therefore needed. This three-stage study explored graphical format preferences, understanding, and interpretability of clinical trial PRO data presented to people with prostate cancer (PC).
Author(s): Ruzich, Emily, Ritchie, Jason, Ginchereau Sowell, France, Mansur, Aliyah, Griffiths, Pip, Birkett, Hannah, Harman, Diane, Spink, Jayne, James, David, Reaney, Matthew
DOI: 10.1093/jamia/ocad099
The increased availability of public data and accessible visualization technologies enhanced the popularity of public health data dashboards and broadened their audience from professionals to the general public. However, many dashboards have not achieved their full potential due to design complexities that are not optimized to users' needs.
Author(s): Ansari, Bahareh, Martin, Erika G
DOI: 10.1093/jamia/ocad102
This scoping review aims to address a gap in the literature on community engagement in developing data visualizations intended to improve population health. The review objectives are to: (1) synthesize literature on the types of community engagement activities conducted by researchers working with community partners and (2) characterize instances of "creative data literacy" within data visualizations developed in community-researcher partnerships.
Author(s): Chau, Darren, Parra, José, Santos, Maricel G, Bastías, María José, Kim, Rebecca, Handley, Margaret A
DOI: 10.1093/jamia/ocad090
Data visualization style guides are standards for formatting and designing representations of information, like charts, graphs, tables, and diagrams. To assist researchers communicate their visual content in better and more effective ways, this article accomplishes two tasks. First, we take a detailed look at a data visualization style guide and its components-what it is and what it should include. Second, we create a detailed template for the color section of [...]
Author(s): Graze, Maxene, Schwabish, Jonathan
DOI: 10.1093/jamia/ocad084
Although interactive data visualizations are increasingly popular for health communication, it remains to be seen what design features improve psychological and behavioral targets. This study experimentally tested how interactivity and descriptive titles may influence perceived susceptibility to the flu, intention to vaccinate, and information recall, particularly among older adults.
Author(s): Cotter, Lynne M, Yang, Sijia
DOI: 10.1093/jamia/ocad087
Recognizing that alert fatigue poses risks to patient safety and clinician wellness, there is a growing emphasis on evaluation and governance of electronic health record clinical decision support (CDS). This is particularly critical for interruptive alerts to ensure that they achieve desired clinical outcomes while minimizing the burden on clinicians. This study describes an improvement effort to address a problematic interruptive alert intended to notify clinicians about patients needing coronavirus [...]
Author(s): Fallon, Anne, Haralambides, Kristina, Mazzillo, Justin, Gleber, Conrad
DOI: 10.1055/a-2226-8144
Children with medical complexity (CMC) are uniquely vulnerable to medication errors and preventable adverse drug events because of their extreme polypharmacy, medical fragility, and reliance on complicated medication schedules and routes managed by undersupported family caregivers. There is an opportunity to improve CMC outcomes by designing health information technologies that support medication administration accuracy, timeliness, and communication within CMC caregiving networks.
Author(s): Jolliff, Anna, Coller, Ryan J, Kearney, Hannah, Warner, Gemma, Feinstein, James A, Chui, Michelle A, O'Brien, Steve, Willey, Misty, Katz, Barbara, Bach, Theodore D, Werner, Nicole E
DOI: 10.1055/a-2214-8000