scholarly journals Efficient Attribute-Based Secure Data Sharing with Hidden Policies and Traceability in Mobile Health Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Changhee Hahn ◽  
Hyunsoo Kwon ◽  
Junbeom Hur
Keyword(s):  
Data Sharing ◽  
Mobile Health ◽  
Healthcare Providers ◽  
Personal Health ◽  
Sensitive Information ◽  
Health Records ◽  
Health Networks ◽  
Secure Data ◽  
Constrained Environments ◽  
Access Privileges

Mobile health (also written as mHealth) provisions the practice of public health supported by mobile devices. mHealth systems let patients and healthcare providers collect and share sensitive information, such as electronic and personal health records (EHRs) at any time, allowing more rapid convergence to optimal treatment. Key to achieving this is securely sharing data by providing enhanced access control and reliability. Typically, such sharing follows policies that depend on patient and physician preferences defined by a set of attributes. In mHealth systems, not only the data but also the policies for sharing it may be sensitive since they directly contain sensitive information which can reveal the underlying data protected by the policy. Also, since the policies usually incur linearly increasing communication costs, mHealth is inapplicable to resource-constrained environments. Lastly, access privileges may be publicly known to users, so a malicious user could illegally share his access privileges without the risk of being traced. In this paper, we propose an efficient attribute-based secure data sharing scheme in mHealth. The proposed scheme guarantees a hidden policy, constant-sized ciphertexts, and traces, with security analyses. The computation cost to the user is reduced by delegating approximately 50% of the decryption operations to the more powerful storage systems.

scholarly journals The Association of Mobile Health Applications with Self-Management Behaviors among Adults with Chronic Conditions in the United States

2021 ◽  
Vol 18 (19) ◽  
pp. 10351
Author(s):  
Hao Wang ◽  
Amy F. Ho ◽  
R. Constance Wiener ◽  
Usha Sambamoorthi
Keyword(s):  
United States ◽  
Chronic Conditions ◽  
Healthcare Providers ◽  
The United States ◽  
Personal Health Records ◽  
Self Management ◽  
Personal Health ◽  
Health Records ◽  
Mhealth Apps ◽  
Management Behaviors

Background: Mobile applications related to health and wellness (mHealth apps) are widely used to self-manage chronic conditions. However, research on whether mHealth apps facilitate self-management behaviors of individuals with chronic conditions is sparse. We aimed to evaluate the association of mHealth apps with different types of self-management behaviors among patients with chronic diseases in the United States. Methods: This is a cross-sectional observational study. We used data from adult participants (unweighted n = 2340) of the Health Information National Trends Survey in 2018 and 2019. We identified three self-management behaviors: (1) resource utilization using electronic personal health records; (2) treatment discussions with healthcare providers; and (3) making healthcare decisions. We analyzed the association of mHealth apps to self-management behaviors with multivariable logistic and ordinal regressions. Results: Overall, 59.8% of adults (unweighted number = 1327) used mHealth apps. Adults using mHealth apps were more likely to use personal health records (AOR = 3.11, 95% CI 2.26–4.28), contact healthcare providers using technology (AOR = 2.70, 95% CI 1.93–3.78), and make decisions on chronic disease management (AOR = 2.59, 95% CI 1.93–3.49). The mHealth apps were associated with higher levels of self-management involvement (AOR = 3.53, 95% CI 2.63–4.72). Conclusion: Among individuals with chronic conditions, having mHealth apps was associated with positive self-management behaviors.

Analysis and Linkage of Data from Patient-Controlled Self-Monitoring Devices and Personal Health Records

2014 ◽  
pp. 227-236
Author(s):  
Chris Paton
Keyword(s):  
Electronic Health Records ◽  
Mobile Health ◽  
Personal Health Records ◽  
Personal Health ◽  
Data Systems ◽  
Health Records ◽  
Self Monitoring ◽  
Tracking Devices ◽  
Monitoring Devices ◽  
Tracking Technology

This chapter outlines the recent advances in self-tracking technology both for wellness and healthcare purposes. It addresses one of the key challenges in mobile health: how to link the data from self-tracking devices with data in clinical data systems, such as Personal Health Records and Electronic Health Records systems. This chapter also discusses advances in visualisation and analysis for personally controlled data from self-tracking and PHR systems.

scholarly journals Support for Sustainable Use of Personal Health Records: Understanding the Needs of Users as a First Step Towards Patient-Driven Mobile Health

2017 ◽  
Vol 5 (2) ◽  
pp. e19 ◽  
Author(s):  
Se Young Jung ◽  
Keehyuck Lee ◽  
Hee Hwang ◽  
Sooyoung Yoo ◽  
Hyun Young Baek ◽  
...  
Keyword(s):  
Mobile Health ◽  
Sustainable Use ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records

Analysis and Linkage of Data from Patient-Controlled Self-Monitoring Devices and Personal Health Records

2016 ◽  
pp. 1635-1644
Author(s):  
Chris Paton
Keyword(s):  
Electronic Health Records ◽  
Mobile Health ◽  
Personal Health Records ◽  
Personal Health ◽  
Data Systems ◽  
Health Records ◽  
Self Monitoring ◽  
Tracking Devices ◽  
Monitoring Devices ◽  
Tracking Technology

This chapter outlines the recent advances in self-tracking technology both for wellness and healthcare purposes. It addresses one of the key challenges in mobile health: how to link the data from self-tracking devices with data in clinical data systems, such as Personal Health Records and Electronic Health Records systems. This chapter also discusses advances in visualisation and analysis for personally controlled data from self-tracking and PHR systems.

The My Health Record System: Potential to Undermine the Paradigm of Patient Confidentiality?

2019 ◽  
Vol 42 (2) ◽  
Author(s):  
Gabrielle Wolf ◽  
Danuta Mendelson
Keyword(s):  
Electronic Health Records ◽  
Healthcare Providers ◽  
Health Record ◽  
Sensitive Information ◽  
Record System ◽  
Health Records ◽  
Patient Confidentiality ◽  
Health Practitioners ◽  
Electronic Health ◽  
Traditional Paradigm

Australia’s national electronic health records system – known as the ‘My Health Record (‘MHR’) system’ – may threaten to undermine the traditional paradigm of patient confidentiality within the therapeutic relationship. Historically, patients have felt comfortable imparting sensitive information to their health practitioners on the understanding that such disclosures are necessary and will be relied on principally for the purpose of treating them. The MHR system potentially facilitates access to patients’ health information by individuals and entities beyond the practitioners who are directly providing them with healthcare and, in some circumstances, without the patients’ consent. It may also enable patients’ health practitioners and their employees to read records that those practitioners did not create or receive in the course of treating the patients and that are irrelevant to their treatment of them. The MHR system could have harmful consequences for individual and public health if patients become unwilling to disclose information to their healthcare providers because they fear it will not remain confidential. In addition to examining the risks of breaches of patient confidentiality in the MHR system, this article considers how the potential benefits of an electronic health records system might be achieved while maintaining patient confidentiality to a significant extent.

Differentially Private Medical Texts Generation Using Generative Neural Networks

2022 ◽  
Vol 3 (1) ◽  
pp. 1-27
Author(s):  
Md Momin Al Aziz ◽  
Tanbir Ahmed ◽  
Tasnia Faequa ◽  
Xiaoqian Jiang ◽  
Yiyu Yao ◽  
...  
Keyword(s):  
Data Science ◽  
Medical Information ◽  
Healthcare Providers ◽  
Well Being ◽  
Original Text ◽  
Sensitive Information ◽  
Classification Problems ◽  
Medical Texts ◽  
Health Records ◽  
Content Type

Technological advancements in data science have offered us affordable storage and efficient algorithms to query a large volume of data. Our health records are a significant part of this data, which is pivotal for healthcare providers and can be utilized in our well-being. The clinical note in electronic health records is one such category that collects a patient’s complete medical information during different timesteps of patient care available in the form of free-texts. Thus, these unstructured textual notes contain events from a patient’s admission to discharge, which can prove to be significant for future medical decisions. However, since these texts also contain sensitive information about the patient and the attending medical professionals, such notes cannot be shared publicly. This privacy issue has thwarted timely discoveries on this plethora of untapped information. Therefore, in this work, we intend to generate synthetic medical texts from a private or sanitized (de-identified) clinical text corpus and analyze their utility rigorously in different metrics and levels. Experimental results promote the applicability of our generated data as it achieves more than 80\% accuracy in different pragmatic classification problems and matches (or outperforms) the original text data.

Personal Health Records

2011 ◽  
pp. 2111-2124 ◽  
Author(s):  
Ebrahim Randeree
Keyword(s):  
Personal Health Record ◽  
Healthcare Providers ◽  
Public Access ◽  
Insurance Companies ◽  
Personal Health ◽  
Information Network ◽  
Institute Of Medicine ◽  
Patient Centered ◽  
Health Records ◽  
The Public

An increasing focus on e-health and a governmental push to improve healthcare quality while giving patients more control of their health data have combined to promote the emergence of the personal health record (PHR). The PHR addresses timeliness, patient safety, and equity, goals that the Institute of Medicine has identified as integral to improving healthcare. The PHR is vital to the National Health Information Network (NHIN) that is being developed to give all Americans access to electronic health records by 2014. Despite increasing public access to PHRs via employers, insurance companies, healthcare providers, and independent entities, it is unclear whether the PHR will be successfully implemented and adopted by the public. This chapter looks at how PHRs address the needs, desires, and expectations of patients, explores the data quality concerns regarding patient-generated information (data capture, sharing and integration with other systems), discusses social implications of adoption, and concludes with a discussion of the evolving role that PHRs play in the growth of patient-centered e-health.

scholarly journals Assessing commercially available personal health records for home health

2016 ◽  
Vol 07 (02) ◽  
pp. 355-367 ◽  
Author(s):  
Yong Choi ◽  
George Demiris ◽  
Laura Kneale
Keyword(s):  
Information Needs ◽  
Medical Information ◽  
Healthcare Providers ◽  
Study Data ◽  
Home Health ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Home Health Nurses

SummaryHome health nurses and clients experience unmet information needs when transitioning from hospital to home health. Personal health records (PHRs) support consumer-centered information management activities. Previous work has assessed PHRs associated with healthcare providers, but these systems leave home health nurses unable to access necessary information.To evaluate the ability of publically available PHRs to accept, manage, and share information from a home health case study.Two researchers accessed the publically available PHRs on myPHR.com, and attempted to enter, manage, and share the case study data. We qualitatively described the PHR features, and identified gaps between the case study information and PHR functionality.Eighteen PHRs were identified in our initial search. Seven systems met our inclusion criteria, and are included in this review. The PHRs were able to accept basic medical information. Gaps occurred when entering, managing, and/or sharing data from the acute care and home health episodes. The PHRs that were reviewed were unable to effectively manage the case study information. Therefore, increasing consumer health literacy through these systems may be difficult. The PHRs that we reviewed were also unable to electronically share their data.The gap between the existing functionality and the information needs from the case study may make these PHRs difficult to use for home health environments. Additional work is needed to increase the functionality of the PHR systems to better fit the data needs of home health clients.

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