The Role of US Policymaking in the Emergence of a Digital Health Assemblage

2022 ◽  
pp. 1-20
Author(s):  
Elisa Lievevrouw ◽  
L. Marelli ◽  
I. Van Hoyweghen
Keyword(s):  
Digital Health

“Consideration of patients as networked units to identify opportunities and motivation to enhance capability”: A mixed methods study to explore a personalised Digital Health Hub Model of Care for hip fractures in South Australia (Preprint)

2021 ◽  
Author(s):  
Lalit Yadav ◽  
Tiffany K Gill ◽  
Anita Taylor ◽  
Jen DeYoung ◽  
Mellick J Chehade
Keyword(s):  
Hip Fractures ◽  
Digital Health ◽  
Family Members ◽  
South Australia ◽  
Aged Care ◽  
Mixed Methods Study ◽  
Residential Aged Care ◽  
Model Of Care ◽  
Factors Influencing

UNSTRUCTURED Introduction Majority of older people with hip fractures once admitted to acute hospital care are unable to return to their pre-fracture level of independence and a significant number are either newly admitted or return to residential aged care. Patient education involves family members and/or residential aged care staff as networked units, crucial for empowerment through improving health literacy. Advancement of digital technology has led to evolving solutions around optimising health care including self-management of chronic disease conditions and telerehabilitation. The aim of this study is to understand perspectives of older patients with hip fractures, their family members and residential aged carers, to inform the development of a digitally enabled model of care using a personalised digital health hub (pDHH). Methods A mixed methods study was conducted at a public tertiary care hospital in South Australia involving patients aged 50 years and above along with their family members and residential aged carers. Quantitative data, including basic demographic characteristics, access to computers and Internet were analysed using descriptive statistics. Spearman’s Rank Order Correlation was used to examine correlations between the perceived role of a pDHH in improving health and likelihood of subsequent usage. Whereas qualitative data included series of open-ended questions and findings were interpreted using constructs of capability, opportunity and motivation to help understand the factors influencing the likelihood of potential pDHH use Results Overall, 100 people were recruited in the study, representing 55 patients, 13 family members and 32 residential aged carers. The mean age of patients was 76.4 years (SD-8.4, age range 54-88) and females represented 60% of patients. Although a moderate negative correlation existed with increasing age and likelihood of pDHH usage (ρ= -0.50, p<0.001) the perceived role of the DHH in improving health had a strong positive correlation with the likelihood of pDHH usage by self (ρ=0.71, p<0.001) and by society, including friends and family members (ρ=0.75, p<0.001). Of particular note, almost all the patients (98%) believed they had a family member or friend /carer who would be able to help them to use a digital health platform. Whereas our qualitative findings suggest emphasising on complex interplay of capability, opportunity and motivation as crucial factors while designing a pDHH enabled model of care for hip fractures at a local context level. Conclusion Findings from this study contributed to understand the dynamics around capabilities, motivation and opportunities of patients, family members and formal carers as a “patient networked unit”. Future research recommendation must involve co-creation guided by iterative processes through improving understanding of factors influencing development and successful integration of complex digital healthcare interventions in real-world scenarios.

Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution

2020 ◽  
pp. 193229682097640
Author(s):  
Michelle Dugas ◽  
Weiguang Wang ◽  
Kenyon Crowley ◽  
Anand K. Iyer ◽  
Malinda Peeples ◽  
...  
Keyword(s):  
Digital Health ◽  
Data Entry ◽  
Secondary Data ◽  
Well Being ◽  
Preliminary Evidence ◽  
Future Research ◽  
Note Taking ◽  
Potential Benefits

Background: Digital health solutions targeting diabetes self-care are popular and promising, but important questions remain about how these tools can most effectively help patients. Consistent with evidence of the salutary effects of note-taking in education, features that enable annotation of structured data entry might enhance the meaningfulness of the interaction, thereby promoting persistent use and benefits of a digital health solution. Method: To examine the potential benefits of note-taking, we explored how patients with type 2 diabetes used annotation features of a digital health solution and assessed the relationship between annotation and persistence in engagement as well as improvements in glycated hemoglobin (A1C). Secondary data from 3142 users of the BlueStar digital health solution collected between December 2013 and June 2017 were analyzed, with a subgroup of 372 reporting A1C lab values. Results: About a third of patients recorded annotations while using the platform. Annotation themes largely reflected self-management behaviors (diet, physical activity, medication adherence) and well-being (mood, health status). Early use of contextual annotations was associated with greater engagement over time and with greater improvements in A1C. Conclusions: Our research provides preliminary evidence of the benefits of annotation features in a digital health solution. Future research is needed to assess the causal impact of note-taking and the moderating role of thematic content reflected in notes.

Digital health technology enhances resilient behaviour: evidence from the ward

2019 ◽  
Vol 40 (1) ◽  
pp. 34-67 ◽  
Author(s):  
Iacopo Rubbio ◽  
Manfredi Bruccoleri ◽  
Astrid Pietrosi ◽  
Barbara Ragonese
Keyword(s):  
Patient Safety ◽  
Dynamic Capabilities ◽  
Digital Health ◽  
Digital Technologies ◽  
Healthcare Management ◽  
Content Type ◽  
Health Technologies ◽  
Management Domain ◽  
Operational Failure

PurposeIn the healthcare management domain, there is a lack of knowledge concerning the role of resilience practices in improving patient safety. The purpose of this paper is to understand the capabilities that enable healthcare resilience and how digital technologies can support these capabilities.Design/methodology/approachWithin- and cross-case research methodology was used to study resilience mechanisms and capabilities in healthcare and to understand how digital health technologies impact healthcare resilience. The authors analyze data from two Italian hospitals through the lens of the operational failure literature and anchor the findings to the theory of dynamic capabilities.FindingsFive different dynamic capabilities emerged as crucial for managing operational failure. Furthermore, in relation to these capabilities, medical, organizational and patient-related knowledge surfaced as major enablers. Finally, the findings allowed the authors to better explain the role of knowledge in healthcare resilience and how digital technologies boost this role.Practical implicationsWhen trying to promote a culture of patient safety, the research suggests healthcare managers should focus on promoting and enhancing resilience capabilities. Furthermore, when evaluating the role of digital technologies, healthcare managers should consider their importance in enabling these dynamic capabilities.Originality/valueAlthough operations management (OM) research points to resilience as a crucial behavior in the supply chain, this is the first research that investigates the concept of resilience in healthcare systems from an OM perspective, with only a few authors having studied similar concepts, such as “workaround” practices.

scholarly journals Implementation: The Next Giant Hurdle to Clinical Transformation With Digital Health

10.2196/16259 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e16259 ◽  
Author(s):  
Lorraine Buis
Keyword(s):  
Health Research ◽  
Digital Health ◽  
Internet Research ◽  
Clinical Implementation ◽  
The Past ◽  
Barriers To Implementation ◽  
Clinical Transformation

Clinical implementation of digital health is a major hurdle to overcome in the coming years. Considering the role of the Journal of Medical Internet Research in the past 20 years and looking toward the journal’s future, this viewpoint acknowledges the vision of medicine and the role that digital health plays in that vision. It also highlights barriers to implementation of digital health as an obstacle to achieving that vision. In particular, this paper focuses on how digital health research must start looking toward implementation as an area of inquiry and the role that the Journal of Medical Internet Research and its' sister journals from JMIR Publications can play in this process.

scholarly journals Reflections on dynamic consent in biomedical research: the story so far

2020 ◽  
Author(s):  
Harriet J. A. Teare ◽  
Megan Prictor ◽  
Jane Kaye
Keyword(s):  
Digital Divide ◽  
Biomedical Research ◽  
Digital Health ◽  
Future Research ◽  
New Approach ◽  
Dynamic Consent ◽  
Integral Role ◽  
Use Of Social Media ◽  
And Control

AbstractDynamic consent (DC) was originally developed in response to challenges to the informed consent process presented by participants agreeing to ‘future research’ in biobanking. In the past 12 years, it has been trialled in a number of different projects, and examined as a new approach for consent and to support patient engagement over time. There have been significant societal shifts during this time, namely in our reliance on digital tools and the use of social media, as well as a greater appreciation of the integral role of patients in biomedical research. This paper reflects on the development of DC to understand its importance in an age where digital health is becoming the norm and patients require greater oversight and control of how their data may be used in a range of settings. As well as looking back, it looks forwards to consider how DC could be further utilised to enhance the patient experience and address some of the inequalities caused by the digital divide in society.

scholarly journals The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients

2020 ◽  
Vol 13 (3) ◽  
pp. 1033-1069
Author(s):  
Sebastian Hermes ◽  
Tobias Riasanow ◽  
Eric K. Clemons ◽  
Markus Böhm ◽  
Helmut Krcmar
Keyword(s):  
Digital Health ◽  
Academic Research ◽  
Digital Transformation ◽  
Healthcare Industry ◽  
Value Capture ◽  
Digital Platforms ◽  
Systems Research ◽  
Wide Range ◽  
Platform Ecosystems

AbstractWhile traditional organizations create value within the boundaries of their firm or supply chain, digital platforms leverage and orchestrate a platform-mediated ecosystem to create and co-create value with a much wider array of partners and actors. Although the change to two-sided markets and their generalization to platform ecosystems have been adopted among various industries, both academic research and industry adoption have lagged behind in the healthcare industry. To the best of our knowledge current Information Systems research has not yet incorporated an interorganizational perspective of the digital transformation of healthcare. This neglects a wide range of emerging changes, including changing segmentation of industry market participants, changing patient segments, changing patient roles as decision makers, and their interaction in patient care. This study therefore investigates the digital transformation of the healthcare industry by analyzing 1830 healthcare organizations found on Crunchbase. We derived a generic value ecosystem of the digital healthcare industry and validated our findings with industry experts from the traditional and the start-up healthcare domains. The results indicate 8 new roles within healthcare, namely: information platforms, data collection technology, market intermediaries, services for remote and on-demand healthcare, augmented and virtual reality provider, blockchain-based PHR, cloud service provider, and intelligent data analysis for healthcare provider. Our results further illustrate how these roles transform value proposition, value capture, and value delivery in the healthcare industry. We discuss competition between new entrants and incumbents and elaborate how digital health innovations contribute to the changing role of patients.

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