[HTML][HTML] Visualization and analytics tools for infectious disease epidemiology: a systematic review

LN Carroll, AP Au, LT Detwiler, T Fu, IS Painter… - Journal of biomedical …, 2014 - Elsevier
Background A myriad of new tools and algorithms have been developed to help public
health professionals analyze and visualize the complex data used in infectious disease …

[HTML][HTML] Role of visual analytics in supporting mental healthcare systems research and policy: A systematic sco** review

Y Chung, N Bagheri, JA Salinas-Perez… - International Journal of …, 2020 - Elsevier
The availability of healthcare data has exponentially grown, both in quantity and complexity.
The speed of this evolution has generated new challenges for translating complex data into …

Improving healthcare with interactive visualization

B Shneiderman, C Plaisant, BW Hesse - Computer, 2013 - ieeexplore.ieee.org
Visualization and visual analytics re-searchers can contribute substantial technological
advances to support the reliable, effective, safe, and validated systems required for personal …

Open data innovation: Visualizations and process redesign as a way to bridge the transparency-accountability gap

S Park, JR Gil-Garcia - Government information quarterly, 2022 - Elsevier
Open government data has led to public policy innovation in pursuit of various expected
benefits. One of the intended goals of open data innovation to improve transparency and …

[LIBRO][B] Healthcare data analytics

CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …

EHR STAR: the state‐of‐the‐art in interactive EHR visualization

Q Wang, RS Laramee - Computer graphics forum, 2022 - Wiley Online Library
Since the inception of electronic health records (EHR) and population health records
(PopHR), the volume of archived digital health records is growing rapidly. Large volumes of …

A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks

R Beard, E Wentz, M Scotch - International journal of health geographics, 2018 - Springer
Background Zoonotic diseases account for a substantial portion of infectious disease
outbreaks and burden on public health programs to maintain surveillance and preventative …

Human factors methods in the design of digital decision support systems for population health: a sco** review

HM Vasquez, E Pianarosa, R Sirbu, LM Diemert… - BMC Public Health, 2024 - Springer
Abstract Background While Human Factors (HF) methods have been applied to the design
of decision support systems (DSS) to aid clinical decision-making, the role of HF to improve …

GlaucoMap–distribution of glaucoma surgical procedures in the United States

AK Ma, JH Lee, JL Warren, CC Teng - Clinical ophthalmology, 2020 - Taylor & Francis
Purpose To understand the distribution of trabeculectomies, glaucoma drainage implants
(GDI) and micro-invasive glaucoma surgeries (MIGS) performed in the United States through …

[HTML][HTML] Develo** a data dashboard framework for population health surveillance: widening access to clinical trial findings

D Concannon, K Herbst, E Manley - JMIR formative research, 2019 - formative.jmir.org
Background: Population surveillance sites generate many datasets relevant to disease
surveillance. However, there is a risk that these data are underutilized because of the …