scholarly journals Health tracker: data acquisition and analysis for monitoring health trends and assessing disease risk

2021 ◽  
Vol 10 (1) ◽  
pp. 72
Author(s):  
Du'a Alzaleq ◽  
Suboh Alkhushayni ◽  
Austin FitzGerald
Keyword(s):  
Health Systems ◽  
Disease Risk ◽  
Health Data ◽  
Personal Health ◽  
Mobile Platforms ◽  
Health Trends ◽  
Practical Applications ◽  
Mobile Health Application ◽  
Smart Health ◽  
Health Application

This paper describes HealthTracker, a mobile health application to record, store, display, and analyze personal health data. This application allows an individual to log several types of data encompassing their personal health. HealthTracker serves as a model for both a recording and a recommending system. Its goal is to serve as a bridge for future personal health systems to build from. A person’s health information is displayed in an easy-to-understand manner but is also practical for medical professionals. Users should find the system useful and effective no matter if they use it simply or extensively. Currently, the system serves as a prototype for determining the practical applications for smart health systems running on mobile platforms.  

(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 A Data Transmission Technique for Personal Health Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Jih-Fu Tu ◽  
Chih-yung Chen
Keyword(s):  
Health Systems ◽  
Data Transmission ◽  
Health Data ◽  
Functional Integral ◽  
Personal Health ◽  
The Core ◽  
Transmission Technique ◽  
Cloud Server

We used the modular technique to design a personal health data transmitter (PHDT) that is composed of the following components: (1) the core is an embedded signal chip, (2) three kinds of transmutation modules such as USB, RF, and UART, (3) an I2C interface is used to acquire the users data, and (4) through Internet it links to the cloud server to store the personal-health data. By the experiment, we find that the modular manner is feasible, stable of functional, integral, and accurate, while it is exploited to design the PHDT. For the experiment, we present each module algorithm to find that our system is very helpful to people.

Do Privacy Concerns Differ between Smart Speakers and mHealth? A Comparison between Privacy-related Concepts among Seniors (Preprint)

2021 ◽  
Author(s):  
Tanja Schroeder ◽  
Maximilian Haug ◽  
Heiko Gewald
Keyword(s):  
Personal Data ◽  
Health Data ◽  
Structured Interviews ◽  
Privacy Concerns ◽  
Trade Offs ◽  
Mobile Health Application ◽  
Free Data ◽  
Mhealth Technology ◽  
Health Application ◽  
The Relationship

BACKGROUND Several technologies process personal data, such as mHealth applications, or smart speakers. Privacy research focuses on the influence of privacy-related issues. However, the understanding of the characteristics of the data (e.g., surveillance vs health data) especially among older adults and the relation to privacy is relatively thin. OBJECTIVE This study aims to contribute to a better understanding of the trade-offs between user requirements and privacy concerns when using mHealth technology and smart speaker technology and to identify issues that need to be addressed to reduce user concerns. METHODS In this qualitative study with semi-structured interviews, 10 participants used a smart speaker, and 10 participants used a mobile health application to determine the influence of privacy on acceptance based on the differences in the processed data. RESULTS The results reveal a resignation among seniors concerning their health data, so that a potential data leak may not influence them at the later stage of their life. Furthermore, smart speakers' privacy concerns were dismissed due to the lack of knowledge about the possible ramification of data abuse. These findings imply to focus more on privacy literacy among elderly adults and suggest barrier-free data protection regulations. CONCLUSIONS The authors were able to identify factors that influence the relationship between privacy concerns and risk assessments and validate how older people, in particular, manage their personal data.

The Design and Preliminary Evaluation of a Mobile Health Application TangTangQuan in Management of Type 1 Diabetes in China

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 860-P
Author(s):  
PING LING ◽  
SIHUI LUO ◽  
JINHUA YAN ◽  
XUEYING ZHENG ◽  
DAIZHI YANG ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Mobile Health ◽  
Preliminary Evaluation ◽  
Mobile Health Application ◽  
Health Application

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.

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