Digital Transformation of Health Systems During the COVID-19 Pandemic: Challenges and Opportunities for Telehealth

Ostovari, Mina

doi:10.1007/978-3-030-86274-9_5

Cited by 2 publications

(2 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the enhanced digital transformation, business organizations must be resilient toward cybersecurity [ 64 , 65 , 66 , 67 ]. Given the increasing frequency and sophistication of cyber-attacks today, developing a robust cybersecurity threat intelligence framework should be considered one of the top priorities of any organization looking to protect its critical assets.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Literature Review on Cyber Threat Intelligence for Organizational Cybersecurity Resilience

Saeed,

Suayyid,

Al-Ghamdi

et al. 2023

Sensors

View full text Add to dashboard Cite

Cybersecurity is a significant concern for businesses worldwide, as cybercriminals target business data and system resources. Cyber threat intelligence (CTI) enhances organizational cybersecurity resilience by obtaining, processing, evaluating, and disseminating information about potential risks and opportunities inside the cyber domain. This research investigates how companies can employ CTI to improve their precautionary measures against security breaches. The study follows a systematic review methodology, including selecting primary studies based on specific criteria and quality valuation of the selected papers. As a result, a comprehensive framework is proposed for implementing CTI in organizations. The proposed framework is comprised of a knowledge base, detection models, and visualization dashboards. The detection model layer consists of behavior-based, signature-based, and anomaly-based detection. In contrast, the knowledge base layer contains information resources on possible threats, vulnerabilities, and dangers to key assets. The visualization dashboard layer provides an overview of key metrics related to cyber threats, such as an organizational risk meter, the number of attacks detected, types of attacks, and their severity level. This relevant systematic study also provides insight for future studies, such as how organizations can tailor their approach to their needs and resources to facilitate more effective collaboration between stakeholders while navigating legal/regulatory constraints related to information sharing.

show abstract

Section: Discussionmentioning

confidence: 99%

A Systematic Literature Review on Cyber Threat Intelligence for Organizational Cybersecurity Resilience

Saeed,

Suayyid,

Al-Ghamdi

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…During the COVID-19 pandemic, health systems rapidly implemented and expanded telemedicine to ensure continued access to care [1][2][3]. In addition to screening and monitoring patients with COVID-19 symptoms [4], telemedicine was utilized for chronic disease management [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic

Ostovari¹,

Zhang²,

Patel³

et al. 2023

J. Clin. Trans. Sci.

Self Cite

View full text Add to dashboard Cite

Introduction: The rapid implementation of telemedicine during the COVID-19 pandemic may have exacerbated the existing health disparities. This study investigated the association between the area deprivation index (ADI), which serves as a measure of socioeconomic deprivation within a geographic area, and the utilization of telemedicine in primary care. Methods: The study data source was electronic health records. The study population consisted of patients with at least one primary care visit between March 2020 and December 2021. The primary outcome of interest was the visit modality (office, phone, and video). The exposure of interest was the ADI score grouped into quartiles (one to four, with one being the least deprived). The confounders included patient sociodemographic characteristics (e.g., age, gender, race, ethnicity, insurance coverage, marital status). We utilized generalized estimating equations to compare the utilization of telemedicine visits with office visits, as well as phone visits with video visits. Results: The study population included 41,583 patients with 127,165 office visits, 39,484 phone visits, and 20,268 video visits. Compared to patients in less disadvantaged neighborhoods (ADI quartile = one), patients in more disadvantaged neighborhoods (ADI = two, three, or four) had higher odds of using phone visits vs office visits, lower odds of using video visits vs office visits, and higher odds of using phone visits vs video visits. Conclusions: Patients who resided in socioeconomically disadvantaged neighborhoods mainly relied on phone consultations for telemedicine visits with their primary care provider. Patient-level interventions are essential for achieving equitable access to digital healthcare, particularly for low-income individuals.

show abstract

Digital Transformation of Health Systems During the COVID-19 Pandemic: Challenges and Opportunities for Telehealth

Cited by 2 publications

References 65 publications

A Systematic Literature Review on Cyber Threat Intelligence for Organizational Cybersecurity Resilience

A Systematic Literature Review on Cyber Threat Intelligence for Organizational Cybersecurity Resilience

Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic

Contact Info

Product

Resources

About