Social networking applications in health care

Williams, James B.

doi:10.1145/1809085.1809091

Cited by 49 publications

(7 citation statements)

References 30 publications

(50 reference statements)

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“…Among the EHR stored data are medications, prescriptions, scheduled appointments, vital signs, medical history, laboratory information, immunizations, summaries, scanned documents, billing information, and progress notes about changes in the patient's health [4]. However, in PHRs, new data types have emerged, including genetic information [47,51], medical advice (recommendations), and prevention concerning the patient's health, as well as data types with recommendations for prevention and home monitoring data [9,15]. Other data types that appear in PHRs are allergies, patient registration data, and insurance plan information, including demographic data such as age, sex, and education.…”

Section: Discussionmentioning

confidence: 99%

“…In the case of a relative profile, some authors distinguish these profiles in terms of accessing the PHR with some limitations or full access with the permission of the patient [5,23,65]. Additionally, in the case of public or anonymous profiles, the health data can be accessed in a limited or shared way, in which the PHR has a public and social nature to help other patients [47]. …”

Section: Discussionmentioning

confidence: 99%

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Personal Health Records: A Systematic Literature Review

et al. 2017

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BackgroundInformation and communication technology (ICT) has transformed the health care field worldwide. One of the main drivers of this change is the electronic health record (EHR). However, there are still open issues and challenges because the EHR usually reflects the partial view of a health care provider without the ability for patients to control or interact with their data. Furthermore, with the growth of mobile and ubiquitous computing, the number of records regarding personal health is increasing exponentially. This movement has been characterized as the Internet of Things (IoT), including the widespread development of wearable computing technology and assorted types of health-related sensors. This leads to the need for an integrated method of storing health-related data, defined as the personal health record (PHR), which could be used by health care providers and patients. This approach could combine EHRs with data gathered from sensors or other wearable computing devices. This unified view of patients’ health could be shared with providers, who may not only use previous health-related records but also expand them with data resulting from their interactions. Another PHR advantage is that patients can interact with their health data, making decisions that may positively affect their health.ObjectiveThis work aimed to explore the recent literature related to PHRs by defining the taxonomy and identifying challenges and open questions. In addition, this study specifically sought to identify data types, standards, profiles, goals, methods, functions, and architecture with regard to PHRs.MethodsThe method to achieve these objectives consists of using the systematic literature review approach, which is guided by research questions using the population, intervention, comparison, outcome, and context (PICOC) criteria.ResultsAs a result, we reviewed more than 5000 scientific studies published in the last 10 years, selected the most significant approaches, and thoroughly surveyed the health care field related to PHRs. We developed an updated taxonomy and identified challenges, open questions, and current data types, related standards, main profiles, input strategies, goals, functions, and architectures of the PHR.ConclusionsAll of these results contribute to the achievement of a significant degree of coverage regarding the technology related to PHRs.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Personal Health Records: A Systematic Literature Review

et al. 2017

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“…Although some medical research programs need health information about patients’ relatives, disclosing medical information about other people is considered a privacy violation. Individuals sharing information on health trends can, if their submissions are aggregated, reveal information about the health issues affecting their local communities or ethnic groups [4]. …”

Section: Privacy Threatsmentioning

confidence: 99%

“…The SNS provider may also allow third-party websites and apps to automatically have access to users’ personal information. Data portability technologies may allow many websites and apps to be linked together, letting them share both dynamic content and the nature of the relationships of their users [3,4]. For example, an SNS may communicate with advertising servers, which produce targeted advertising based on details contained in user profiles.…”

Section: Privacy Threatsmentioning

confidence: 99%

A Privacy Preservation Model for Health-Related Social Networking Sites

2015

J Med Internet Res

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The increasing use of social networking sites (SNS) in health care has resulted in a growing number of individuals posting personal health information online. These sites may disclose users' health information to many different individuals and organizations and mine it for a variety of commercial and research purposes, yet the revelation of personal health information to unauthorized individuals or entities brings a concomitant concern of greater risk for loss of privacy among users. Many users join multiple social networks for different purposes and enter personal and other specific information covering social, professional, and health domains into other websites. Integration of multiple online and real social networks makes the users vulnerable to unintentional and intentional security threats and misuse. This paper analyzes the privacy and security characteristics of leading health-related SNS. It presents a threat model and identifies the most important threats to users and SNS providers. Building on threat analysis and modeling, this paper presents a privacy preservation model that incorporates individual self-protection and privacy-by-design approaches and uses the model to develop principles and countermeasures to protect user privacy. This study paves the way for analysis and design of privacy-preserving mechanisms on health-related SNS.

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“…However, Social networks can affect our life in many ways. It influences life satisfaction, cognitive ability, quality of life, healthcare, and education [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Social Networking Effects on Jordanian Students

Al‐Oqily

Alkhatib

2015

Lecture Notes in Social Networks

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ICT sector is a powerful engine for growth and development of other sectors thus it gains the priority in all life dimensions from economics to social and has further impacted the cultural and political aspects. Social networks bring people together to share ideas, knowledge, and experience. Despite its popularity, Social networks can have positive and negative effects both on its users individually as well as their interactions with others collectively. Other factors analyzed include sustainability awareness and professional attitudes. The authors hope that this study will lead to emphasizing positive effects and reducing negative effects. A survey was published over the Internet and data were collected electronically and analyzed by SPSS using descriptive statistics and factor analysis. Over 750 participated in the survey divided about equally between male and female with the age of vast majority falling between 18-32 years and majoring in IT related fields. The study findings show that male and female young IT students' use of social networking and Internet is limited to rudimentary practices such as email and socialization. This reflected on the negative effects as well on social and physical development and away from the more serious issues of cognitive development and security.

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Social networking applications in health care

Cited by 49 publications

References 30 publications

Personal Health Records: A Systematic Literature Review

Personal Health Records: A Systematic Literature Review

A Privacy Preservation Model for Health-Related Social Networking Sites

Social Networking Effects on Jordanian Students

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