scholarly journals Ethical challenges in argumentation and dialogue in a healthcare context

2020 ◽  
pp. 1-16
Author(s):  
Mark Snaith ◽  
Rasmus Øjvind Nielsen ◽  
Sita Ramchandra Kotnis ◽  
Alison Pease
Keyword(s):  
Health Systems ◽  
Chronic Conditions ◽  
Cost Effective ◽  
Health Data ◽  
Chronic Illnesses ◽  
Limited Resources ◽  
Effective Solution ◽  
Ethical Challenges ◽  
Health Advice ◽  
Future Work

As the average age of the population increases, so too do the number of people living with chronic illnesses. With limited resources available, the development of dialogue-based e-health systems that provide justified general health advice offers a cost-effective solution to the management of chronic conditions. It is however imperative that such systems are responsible in their approach. We present in this paper two main challenges for the deployment of e-health systems, that have a particular relevance to dialogue and argumentation: collecting and handling health data, and trust. For both challenges, we look at specific issues therein, outlining their importance in general, and describing their relevance to dialogue and argumentation. Finally, we go on to propose six recommendations for handling these issues, towards addressing the main challenges themselves, that act both as general advice for dialogue and argumentation research in the e-health domain, and as a foundation for future work on this topic.

scholarly journals Use of patient-generated health data across healthcare settings: implications for health systems

JAMIA Open ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 70-76 ◽  
Author(s):  
Elizabeth Austin ◽  
Jenney R Lee ◽  
Dagmar Amtmann ◽  
Rich Bloch ◽  
Sarah O Lawrence ◽  
...  
Keyword(s):  
Case Studies ◽  
Health Systems ◽  
Chronic Conditions ◽  
Care Delivery ◽  
Clinical Care ◽  
Health Data ◽  
Mobile Technologies ◽  
Detailed Case ◽  
Healthcare Settings ◽  
Gastrointestinal Conditions

Abstract Objective The growing prevalence of chronic conditions requiring changes in lifestyle and at-home self-management has increased interest in and need for supplementing clinic visits with data generated by patients outside the clinic. Patient-generated health data (PGHD) support the ability to diagnose and manage chronic conditions, to improve health outcomes, and have the potential to facilitate more “connected health” between patients and their care teams; however, health systems have been slow to adopt PGHD use in clinical care. Materials and Methods We surveyed current and potential users of PGHD to catalog how PGHD is integrated into clinical care at an academic health center. The survey included questions about data type, method of collection, and clinical uses of PGHD. Current users were asked to provide detailed case studies of PGHD use in research and care delivery. Results Thirty-one respondents completed the survey. Seventeen individuals contributed detailed case studies of PGHD use across diverse areas of care, including behavioral health, metabolic and gastrointestinal conditions, musculoskeletal/progressive functional conditions, cognitive symptoms, and pain management. Sensor devices and mobile technologies were the most commonly reported platforms for collection. Clinicians and researchers involved in PGHD use cited the potential for PGHD to enhance care delivery and outcomes, but also indicated substantial barriers to more widespread PGHD adoption across healthcare systems. Conclusion The results of our survey illustrate how PGHD is used in targeted areas of one healthcare system and provide meaningful insights that can guide health systems in supporting the widespread use of PGHD in care delivery.

Low-dose oral sildenafil for patients with pulmonary hypertension: a cost-effective solution in countries with limited resources

2006 ◽  
Vol 17 (01) ◽  
pp. 72 ◽  
Author(s):  
Vladimiro L. Vida ◽  
Guillermo Gaitan ◽  
Emilio Quezada ◽  
Joaquin Barnoya ◽  
Aldo R. Castañeda
Keyword(s):  
Pulmonary Hypertension ◽  
Low Dose ◽  
Cost Effective ◽  
Limited Resources ◽  
Effective Solution ◽  
Dose Oral

(Preprint)

2018 ◽  
Author(s):  
Ram Dixit ◽  
Sahiti Myneni
Keyword(s):  
Cancer Survivors ◽  
Mental Models ◽  
Health Systems ◽  
Information Needs ◽  
Health Data ◽  
Information Architecture ◽  
Personal Health ◽  
User Centered Design ◽  
Card Sort ◽  
Connected Health

BACKGROUND Connected Health technologies are a promising solution for chronic disease management. However, the scope of connected health systems makes it difficult to employ user-centered design in their development, and poorly designed systems can compound the challenges of information management in chronic care. The Digilego Framework addresses this problem with informatics methods that complement quantitative and qualitative methods in system design, development, and architecture. OBJECTIVE To determine the accuracy and validity of the Digilego information architecture of personal health data in meeting cancer survivors’ information needs. METHODS We conducted a card sort study with 9 cancer survivors (patients and caregivers) to analyze correspondence between the Digilego information architecture and cancer survivors’ mental models. We also analyzed participants’ card sort groups qualitatively to understand their conceptual relations. RESULTS We observed significant correlation between the Digilego information architecture and cancer survivors’ mental models of personal health data. Heuristic analysis of groups also indicated informative discordances and the need for patient-centric categories relating health tracking and social support in the information architecture. CONCLUSIONS Our pilot study shows that the Digilego Framework can capture cancer survivors’ information needs accurately; we also recognize the need for larger studies to conclusively validate Digilego information architectures. More broadly, our results highlight the importance of complementing traditional user-centered design methods and innovative informatics methods to create patient-centered connected health systems.

scholarly journals Citizens, Research Ethics Committee Members and Researchers’ Attitude Toward Information and Consent for the Secondary Use of Health Data: Implications for Research Within Learning Health Systems

2021 ◽  
pp. 155626462199221
Author(s):  
Annabelle Cumyn ◽  
Roxanne Dault ◽  
Adrien Barton ◽  
Anne-Marie Cloutier ◽  
Jean-François Ethier
Keyword(s):  
Research Ethics ◽  
Health Systems ◽  
Ethics Committee ◽  
Health Data ◽  
Data Reuse ◽  
Fundamental Importance ◽  
Research Ethics Committee ◽  
Secondary Use ◽  
Public Perspectives ◽  
Advance Knowledge

A survey was conducted to assess citizens, research ethics committee members, and researchers’ attitude toward information and consent for the secondary use of health data for research within learning health systems (LHSs). Results show that the reuse of health data for research to advance knowledge and improve care is valued by all parties; consent regarding health data reuse for research has fundamental importance particularly to citizens; and all respondents deemed important the existence of a secure website to support the information and consent processes. This survey was part of a larger project that aims at exploring public perspectives on alternate approaches to the current consent models for health data reuse to take into consideration the unique features of LHSs. The revised model will need to ensure that citizens are given the opportunity to be better informed about upcoming research and have their say, when possible, in the use of their data.

A Secure Robust and Privacy Enhanced Mobile Healthcare Framework

2018 ◽  
Vol 15 (3) ◽  
pp. 61-81
Author(s):  
Hisham M. Alsaghier ◽  
Shaik Shakeel Ahamad
Keyword(s):  
Health Systems ◽  
Mobile Health ◽  
Integrated Circuit ◽  
Cost Effective ◽  
Healthcare Services ◽  
Healthcare Industry ◽  
Continuous Transition ◽  
Trusted Platform Module ◽  
Mobile Healthcare ◽  
Mobile Health Systems

This article describes how the exponential growth of mobile applications has changed the way healthcare services function, and mobile healthcare using the Cloud is the most promising technology for healthcare industry. The mobile healthcare industry is in a continuous transition phase that requires continual innovation. There has been identified some of the challenges in the area of security protocols for mobile health systems which still need to be addressed in the future to enable cost-effective, secure and robust mobile health systems. This article addresses these challenges by proposing a secure robust and privacy-enhanced mobile healthcare framework (SRPF) by adopting a Community Cloud (CC), WPKI cryptosystems, Universal Integrated Circuit Cards (UICCs) and a Trusted Platform Module (TPM). All the security properties are provided within this framework. SRPF overcomes replay attacks, Man in the Middle (MITM) Attacks, Impersonation attacks and Multi-Protocol attacks as SRPF was successfully verified using a scyther tool and by BAN logic.

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