Managing Pandemics with Health Informatics

Dixon, Brian E.; Holmes, John H.

doi:10.1055/s-0041-1726504

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…Third, this study advances the understanding of data analytics within the realm of public health surveillance. While earlier studies predominantly focused on the impacts of data analytics on public health responses (Dixon & Holmes, 2021), these investigations delved into diverse applications, encompassing patient screening, remote patient management (Asadzadeh et al, 2020), hospital operations (Reeves et al, 2020), and population‐level data visualization (Ahmed et al, 2020; Dixon et al, 2021). In these contexts, data analytics primarily functioned as a novel technical tool or approach to fortify public health management.…”

Section: Discussionmentioning

confidence: 99%

Information practices in data analytics for supporting public health surveillance

Zhang,

Pee,

Pan

et al. 2023

Asso for Info Science & Tech

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Public health surveillance based on data analytics plays a crucial role in detecting and responding to public health crises, such as infectious disease outbreaks. Previous information science research on the topic has focused on developing analytical algorithms and visualization tools. This study seeks to extend the research by investigating information practices in data analytics for public health surveillance. Through a case study of how data analytics was conducted for surveilling Influenza A and COVID‐19 outbreaks, both exploration information practices (i.e., probing, synthesizing, exchanging) and exploitation information practices (i.e., scavenging, adapting, outreaching) were identified and detailed. These findings enrich our empirical understanding of how data analytics can be implemented to support public health surveillance.

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Section: Discussionmentioning

confidence: 99%

Information practices in data analytics for supporting public health surveillance

Zhang,

Pee,

Pan

et al. 2023

Asso for Info Science & Tech

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show abstract

“…[142][143][144] During the COVID-19 pandemic, health IT was an effective tool to support symptom surveillance, screening, and data reporting. 145 Challenges persist regarding data quality and comprehensiveness and inconsistencies in data extraction and use, affecting its utility in public health activities. [146][147][148] Shah and Dhakal noted difficulties in data sharing with public health departments and using laboratory data for biosurveillance.…”

Section: Public and Population Healthmentioning

confidence: 99%

A Decade of Health Information Technology and the Impact on Health Care in the U.S.: Systematic Review (Preprint)

Harris,

Goldwater,

Swain

et al. 2024

Preprint

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BACKGROUND In 2004, the Office of the National Coordinator for Health Information Technology (ONC) was established to facilitate the nationwide adoption and use of health information technology (health IT). Since its inception, the health IT landscape has evolved with a diverse array of federal investments, programs, and policies to advance its use. Previous systematic reviews of literature related to health IT focused on assessing the adoption and use of technology. As health IT has evolved, research has pivoted from tracking adoption of specific health IT features to assessing the impact of these technologies and tools. OBJECTIVE This paper provides a comprehensive review of peer-reviewed publications published over the past decade to closely examine the impacts of health IT including the impact of federal policies, changing priorities, and how the expanded use of EHR features, and effect of health IT on people, processes, and outcomes. METHODS All health IT-related peer-reviewed published between January 2013 and June 2023 were evaluated to identify articles that focused on the impact of health IT. Articles and studies were extracted through a review of PubMed. A stepwise process was used to identify articles that met the inclusion criteria, focused on the impact of health IT, and demonstrated sufficient scientific rigor. RESULTS The resulting 408 articles were coded based on their primary focus (provider-facing or patient-facing technology), or based on topics that pertained to the systemwide use of health IT. Within each of these categories, articles were organized around key themes. Overwhelmingly, research studies reported that health IT generated a positive impact. More than half of all articles focused on provider-facing technology with a focus on measurable outcomes including quality, safety, and costs. A number of studies evaluated the increased use of patient portals and other tools to support engagement. Studies on interoperability highlighted the value of increased health information exchange. An emerging area of study included a focus on the role of health IT in advancing public and population health. Over three-quarters of the published literature concluded that health IT generated a positive, mixed, or neutral impact. These effects were consistent across the different categories of health IT that were examined whether provider-facing, patient-facing, or systemwide impact of health IT. CONCLUSIONS Over the past decade, the focus of studies on the impact of health IT has evolved, transitioning from a concentration on health IT adoption to optimizing its potential. This includes assessing the effectiveness of EHR functions as well as increasing information exchange. As the landscape evolved with broader acceptance of health IT, the focus shifted with greater interest in technology’s impact on patient engagement, and opportunities to use data to advance health care including population and public health. CLINICALTRIAL N/A

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“…The potential benefit of digital technologies used in medical research and practice should always be balanced against their potential risks, unexpected detrimental consequences and ambiguities [ 6 ]. These forms of harm may also occur on a public scale, either directly or indirectly, which individuals may not be aware of in order to opt out or choose to be excluded.…”

Section: Introductionmentioning

confidence: 99%

Digital Biobanking and Big Data as a New Research Tool: A Position Paper

et al. 2023

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Big data analytics in medicine is driving significant change, as it offers vital information for improving functions, developing cutting-edge solutions and overcoming inefficiencies. With the right archiving and analysis tools, all players in the healthcare system, from hospitals to patients and from medical personnel to the pharmaceutical industry, can yield numerous benefits. Therefore, to analyze and interpret these analytics effectively, so that they can be useful for the advancement of scientific knowledge, we require information sharing, specific skills, training, integration between all system players, unique infrastructures and security. All these characteristics will make it possible to establish and harmonize real big data biobanks, for which it will be appropriate to consider new forms of governance compared to those traditionally conceived for large-sample biobanks.

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Managing Pandemics with Health Informatics

Cited by 7 publications

References 18 publications

Information practices in data analytics for supporting public health surveillance

Information practices in data analytics for supporting public health surveillance

A Decade of Health Information Technology and the Impact on Health Care in the U.S.: Systematic Review (Preprint)

Digital Biobanking and Big Data as a New Research Tool: A Position Paper

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