How digital transformation can help achieve value-based healthcare: Balkans as a case in point

Rosalia, Rodney Alexander; Wahba, Khaled; Milevska-Kostova, Neda

doi:10.1016/j.lanepe.2021.100100

Cited by 22 publications

(17 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 5 This concept combines the already defined terms of ‘public health’ and ‘digital health’ ( Box 1 ) and is not considered a novel field of itself, but the adoption of digital tools to achieve public health goals, such as preventing disease, empowering citizens, promoting value-based healthcare, or achieving UHC. 5 , 6 , 7 , 8 The central aim of DPH is to improve the health of populations from the individual to the population level by using information and communications technologies (ICT). 2 , 6 , 9 This is one of the key factors differentiating DPH from 'digital health', the latter being predominantly focused on individual health.…”

mentioning

confidence: 99%

“…Amidst the ongoing COVID-19 pandemic, we have seen glimpses of the transformational potential of DPH to accelerate responses to various public health emergencies ( Box 2 ). The perception of digital health tools rapidly moved from being seen as “opportunities” to “necessities”, which kickstarted a sequence of rapid developments in the healthcare and public health domains – that still retained their pre-digital structures and were stagnated and eroded: 7 , 18 changes to policy and regulation facilitated rapid changes to reimbursement, training for health professionals, and unprecedented investment in technical infrastructure. 19 Several countries and communities have effectively leveraged pre-pandemic digital investments in public health and applied them to their pandemic management.…”

mentioning

confidence: 99%

See 1 more Smart Citation

The dawn of digital public health in Europe: Implications for public health policy and practice

Wong

Maaß

Vodden

et al. 2022

The Lancet Regional Health - Europe

View full text Add to dashboard Cite

mentioning

confidence: 99%

mentioning

confidence: 99%

The dawn of digital public health in Europe: Implications for public health policy and practice

Wong

Maaß

Vodden

et al. 2022

The Lancet Regional Health - Europe

View full text Add to dashboard Cite

“…Notable benefits of telemedicine are given in Fig. 3 and notable advantages of telemedicine are presented by Rosalia et al (2021) and Aceto et al (2020).…”

Section: Benefits Of Telemedicinementioning

confidence: 99%

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

al.¹

2022

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

Telemedicine is a combination of networking technologies and clinical data. The implementation of telemedicine has enhanced the regional distribution of resources, decreased the workforce of personnel, and shortened the space between healthcare staff and patients. Typically, the specialist doctors are settled and offer their services only in large urban areas. It is pertinent to reduce the imbalance of medical resources between urban and rural areas. The advent of telemedicine has the potential to address this issue. However, current telemedicine has its limitations in terms of data transfer and thus struggles to offer low latency in real-time applications. The recent developments in communication systems offer 5G and above connectivity. This study aims to analyze and synthesize the role of telecommunication networks for potential developments in the field of telemedicine. To this end, a systematic literature review has been conducted to address well-defined research questions. These questions aim to understand the working, flow, scope, and framework of the research area. This review provides an overview of telemedicine, the 5G-based telemedicine framework, and its comparison with the current system. It also discusses how the fast communication network (i.e., 5G and beyond 5G) with devices operating at low latency can revolutionize the healthcare system. Furthermore, a framework for future telemedicine has been provided along with potential application domains. Lastly, challenges and future directions beyond 5G have also been presented.

show abstract

“… 6 , 7 Digital health tools can promote value-based care to improve the health of populations (scalability), improve individual patient outcomes, and lower per capita costs. 1 , 8 , 9 The ongoing COVID-19 pandemic demonstrates the utility of digital health platforms such as telehealth. 10 …”

Section: Introductionmentioning

confidence: 99%

Computerized migraine diagnostic tools: a systematic review

Woldeamanuel

Cowan

2022

Therapeutic Advances in Chronic Disease

View full text Add to dashboard Cite

Background: Computerized migraine diagnostic tools have been developed and validated since 1960. We conducted a systematic review to summarize and critically appraise the quality of all published studies involving computerized migraine diagnostic tools. Methods: We performed a systematic literature search using PubMed, Web of Science, Scopus, snowballing, and citation searching. Cutoff date for search was 1 June 2021. Published articles in English that evaluated a computerized/automated migraine diagnostic tool were included. The following summarized each study: publication year, digital tool name, development basis, sample size, sensitivity, specificity, reference diagnosis, strength, and limitations. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool was applied to evaluate the quality of included studies in terms of risk of bias and concern of applicability. Results: A total of 41 studies (median sample size: 288 participants, median age = 43 years; 77% women) were included. Most (60%) tools were developed based on International Classification of Headache Disorders criteria, half were self-administered, and 82% were evaluated using face-to-face interviews as reference diagnosis. Some of the automated algorithms and machine learning programs involved case-based reasoning, deep learning, classifier ensemble, ant-colony, artificial immune, random forest, white and black box combinations, and hybrid fuzzy expert systems. The median diagnostic accuracy was concordance = 89% [interquartile range (IQR) = 76–93%; range = 45–100%], sensitivity = 87% (IQR = 80–95%; range = 14–100%), and specificity = 90% (IQR = 77–96%; range = 65–100%). Lack of random patient sampling was observed in 95% of studies. Case–control designs were avoided in all studies. Most (76%) reference tests exhibited low risk of bias and low concern of applicability. Patient flow and timing showed low risk of bias in 83%. Conclusion: Different computerized and automated migraine diagnostic tools are available with varying accuracies. Random patient sampling, head-to-head comparison among tools, and generalizability to other headache diagnoses may improve their utility.

show abstract

How digital transformation can help achieve value-based healthcare: Balkans as a case in point

Cited by 22 publications

References 2 publications

The dawn of digital public health in Europe: Implications for public health policy and practice

The dawn of digital public health in Europe: Implications for public health policy and practice

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

Computerized migraine diagnostic tools: a systematic review

Contact Info

Product

Resources

About