Computational Thinking

2021 ◽  
pp. 151-175
Author(s):  
Harold Thimbleby

There’s a lot more to digital health than being excited about digital computing. We need to learn how to think computationally to take full advantage of digital. Computational Thinking is the mature way to think about computing — and digital healthcare.

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 2034
Author(s):  
Aitizaz Ali ◽  
Hasliza A. Rahim ◽  
Muhammad Fermi Pasha ◽  
Rafael Dowsley ◽  
Mehedi Masud ◽  
...  

According to the security breach level index, millions of records are stolen worldwide on every single day. Personal health records are the most targeted records on the internet, and they are considered sensitive, and valuable. Security and privacy are the most important parameters of cryptography and encryption. They reduce the availability of data on patients and healthcare to the appropriate personnel and ultimately lead to a barrier in the transfer of healthcare into a digital health system. Using a permission blockchain to share healthcare data can reduce security and privacy issues. According to the literature, most healthcare systems rely on a centralized system, which is more prone to security vulnerabilities. The existing blockchain-based healthcare schemes provide only a data-sharing framework, but they lack security and privacy. To cope with these kinds of security issues, we have designed a novel security algorithm that provides security as well as privacy with much better efficiency and a lower cost. Hence, in this research, we have proposed a patient healthcare framework that provides greater security, reliability, and authentication compared to existing blockchain-based access control.


2021 ◽  
Author(s):  
Lyndsay A. Nelson ◽  
Jacquelyn S. Pennings ◽  
Evan C. Sommer ◽  
Filoteia Popescu ◽  
Shari L. Barkin

BACKGROUND With increased reliance on digital healthcare, including telehealth, efficient and effective ways are needed to assess patients’ comfort and confidence with utilizing these services. OBJECTIVE The goal of this study was to develop and validate a brief scale that assesses digital healthcare literacy. METHODS We first developed an item pool using the existing literature and expert review. We then administered the items to participants as part of a larger study. Participants were caregivers of children receiving care at a pediatric clinic who completed a survey either online or over the phone. We randomized participants into a development and confirmatory sample stratifying by language so that exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) could be performed with a separate sample of participants. We assessed the scale’s validity by examining its associations with participants’ demographics, digital access, and prior digital healthcare use. RESULTS Participants (N=507) were, on average, aged 33.7 (SD 7.7) years and 89% female. Approximately half (55%) preferred English as their primary language, 31% preferred Spanish, and 14% Arabic. Around half (45%) had a high school degree or less and 45% had an annual household income less than US $35,000. Using the EFA, three items were retained in a reduced score with excellent reliability (Cronbach’s alpha = 0.90) and a high variance explained (78%). The reduced scale had excellent CFA fit with factor loadings between 0.82 and 0.94. All fit statistics exceeded the criteria for good fit between the proposed factor structure and the data. We refer to this scale as the Digital Healthcare Literacy Scale (DHLS). The scale was positively associated with education (ρ =0.139, p=.005) and income (ρ =0.379, p<.001). Arabic speakers had lower scores compared to English (p<.001) and Spanish speakers (p=.015), and Spanish speakers had lower scores relative to English speakers (p<.001). Participants who did not own a smartphone (p=0.13) or laptop (p<.001) had lower scores than those who did own these devices. Finally, participants who had not used digital tools, including health apps (p<.001) and video telehealth (p<.001), had lower scores than those who had. CONCLUSIONS Despite the potential for digital healthcare to improve quality of life and clinical outcomes, many individuals may not have the skills to engage with and benefit from it. Moreover, these individuals may be those who already experience worse outcomes. A screening tool like DHLS could be a useful resource to identify patients who require additional assistance to use digital health services and help ensure health equity. CLINICALTRIAL N/A


Author(s):  
Anita Medhekar ◽  
Julie Nguyen

In the 21st century, the digital revolution is disrupting every sector of the economy. Australia has adopted the digital healthcare technological revolution such as My Health Record (MyHRC) to improve healthcare practice for clinicians/medical professionals and empower consumers to provide positive health management experience with a patient-centred approach to digital health revolution and digital literacy. My Health Record has its benefits, but it has been a challenge for the healthcare practitioners, hospital staff, as well as patients as consumers to accept, embrace, and uptake digital technologies and manage their healthcare records amidst concerns of slow adoption by the patient, data privacy, and implications of the secondary use of their personal data by non-government entities.


2017 ◽  
Vol 17 (4) ◽  
pp. 435-454 ◽  
Author(s):  
Susi Geiger ◽  
Nicole Gross

This article draws from two conceptual lenses – the sociology of expectations and market studies – to investigate the relationship between technology hype and market investments: which promises and expectations surround hype and how they come together to shape actors’ investments in an emerging market. We address this question through analysing a contemporary hype in a technology marketing context: digital healthcare. Our aim is to trace how market actors create, support and evaluate a market hype; how hype and market investments are related; and whether hype contributes to irreversibilities in shaping emerging market forms and categories. Our study indicates that hypes contribute tangibly to producing the market, not least by channelling financial, symbolic and material market investments. Furthermore, by highlighting how socio-economic, technological and policy promises become affectively loaded through circulation, we add a novel dimension to existing insights into the socio-cognitive construction of markets. We caution technology marketers, policymakers and investors against blindly following technology hype, especially when it encourages companies to engage in market investment that is unhinged from broader systems and societal, ethical or economic concerns.


2021 ◽  
Author(s):  
Ridley Cassidy

Objective: The study sought to investigate the relationship between attitude towards digital health technology and age, gender and frequency of use of digital health technology and to consider whether age, gender and frequency of use present potential barriers to accessing future healthcare in the UK. Differences in technological affinity are likely to lead to differences in the adoption of digital health technology and subsequent inequalities in healthcare between older and younger people and between men and women. Design: The study represents an example of a technology adoption study employing a survey-based cross sectional correlational design. Attitude towards digital health technology was measured using the 20 item Digital Health Scale. Age, gender, frequency of use of health technology and employment status data were gathered using a demographics questionnaire. The opportunity sample (N = 247) included volunteer participants aged 16-84 years (M = 31.7, SD = 19.35, 156 females and 91 males). Results: Results indicated a significant negative correlation between age and positive attitude towards digital health technology (r = -0.24, p < .01). Gender differences in attitudes towards digital health technology were non-significant (p > .05). Significant differences in frequency of use were also found, where occasional and frequent use resulted in more positive attitudes than never having used digital health technology (p < 0.05) and participants reporting frequent use were significantly older than those reporting never or occasional use (p < .05) Conclusion: Findings identified age, but not gender, as a significant factor in attitude towards digital health technology, suggesting that continued and increased reliance on digital technology in healthcare may lead to age, but not gender, related inequalities in access to healthcare in the UK. That frequent users of digital health technology were also older, highlights the greater demand for healthcare services by older individuals and is further evidence for the potential of digital healthcare to lead to age related inequalities in access to and provision of healthcare. Recommendations for successful application of digital healthcare technology are considered in the light of these findings.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Degelsegger-Márquez ◽  
D Panteli

Abstract Background The hitherto largely unregulated market of mobile digital health applications is undergoing significant changes, particularly concerning the growing segment of apps that aim at integrating care processes or replacing traditional forms of diagnosis or therapy. The inclusion in the benefit basket of statutory health systems is of relevance when exploring viable business models for app developers. Description of the problem So far, countries largely limit coverage to apps developed by authorities within the statutory health system, or provide guidance for payers in the form of app lists or quality assessment criteria. However, there are new regulatory efforts aiming to promote innovation for mobile digital health applications by creating pathways to general reimbursement, as exemplified by the 2019 German Digital Healthcare Act. Results Our contribution illustrates how evidence-based reimbursement decisions can be configured for mobile digital health applications. We will compare frameworks from different contexts, including the new German regulation, the UK's NHS App Store and the Evidence Standards Framework for Digital Health by NICE as well as the work of the French National Health Authority (Haute Autorité de Santé). Building on case studies, we will provide a typology of practices, which covers elements spanning consumer guidance to assessment approaches to full reimbursement decision-making. Conclusions Based on the proposed typology, we will discuss challenges and opportunities of reimbursement systems for mobile health apps from a public health perspective and seek to refine the typology by incorporating input from session participants and profiting from the global nature of the conference.


2021 ◽  
Author(s):  
Ruben P.A. van Eijk ◽  
Anita Beelen ◽  
Esther T. Kruitwagen ◽  
Deirdre Murray ◽  
Ratko Radakovic ◽  
...  

UNSTRUCTURED Despite recent and compelling technological advances, the real-world implementation of remote digital health technology in care and monitoring of patients with motor neuron disease (MND) has not yet been realized. Digital health technology may increase the accessibility to and personalization of care, whereas remote biosensors could optimize the collection of vital clinical parameters, irrespective of the patients’ ability to visit the clinic. To facilitate wide-scale adoption of digital healthcare technology, and to align current initiatives, we outline a roadmap that (1) will identify clinically relevant digital parameters, (2) mediate the development of benefit-to-burden criteria for innovative technology and (3) direct the validation, harmonization and adoption of digital healthcare technology in real-world settings. We define two key end-products of the roadmap: (1) a set of reliable digital parameters to capture data, collected under free-living conditions, that reflect patient-centric measures and facilitate clinical decision-making, and (2) an integrated, open-source system that provides personalized feedback to patients, healthcare providers, clinical researchers and caregivers, linked to a flexible and adaptable ICT platform that integrates patient data in real time. Given the ever-changing care needs of patients and the relentless progression rate of MND, the adoption of digital healthcare technology will significantly benefit the delivery of care and accelerate the development of effective treatments.


2021 ◽  
pp. 33-47
Author(s):  
Harold Thimbleby

Look carefully for them, and you’ll uncover lots of stories of digital healthcare bugs. This chapter has lots of examples of buggy digital health.


Author(s):  
Mohan Rao Tanniru ◽  
Youmin Xi ◽  
Kamaljeet Sandhu

Complexity theory argues for bounded instability to allow organizations to run operations at a regular speed while also allowing them to explore innovations at a faster speed in support of digital transformation. HeXie management theory uses a mix of systems engineering and holism to argue for a theme around which empowered employees can explore and couple the dividends from such explorations to the organizational vision and mission. Authors integrate these two theories and multiple leadership processes (administrative, enabling, and adaptive) around four guiding principles: alignment around theme, dynamism of employees, transitiveness of dividends, and adaptiveness to support organizational growth and capacity building. These principles are used to discuss how digital leadership has guided healthcare transformation both inside and outside a hospital in multiple use cases, thus providing insight for thought leadership in digital health.


2020 ◽  
pp. 44-54
Author(s):  
Alexey Smyshlyaev ◽  
Yuri Melnikov ◽  
Islam Shakhabov

Telemedicine is the remote provision of medical services to patients and continuing education for health workers as part of digital healthcare. In 2019 the telemedicine market was estimated at 37.4 billion US dollars, the expected growth by 2022 could reach more than 18% annually. Many countries spend significant funds on the development and production of digital medical technology with the ability to transfer data. In most countries of the EU, telemedicine is an auxiliary technology in the implementation of medical care. In the EU there are no common standards in the field of telemedicine services and common approaches to determining the content of telemedicine. In a number of countries, including the Russian Federation, the main limiting factor hindering the development of telemedicine is the financial issue due to the high cost of telemedicine technologies and the underdevelopment of technical equipment. An urgent issue is the protection of patient privacy and confidentiality. The regulatory framework for digital healthcare in Russia is poorly developed and requires significant additions. Today, the main problem for medical organizations that are going to provide services through telemedicine is the need to use a unified system of identification and authentication of participants. Significant legislative work is required to remove barriers to the further development of digital health.


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