Electronic Health Records in the Age of Social Networks and Global Telecommunications

Shachak, Aviv; Jadad, Alejandro R.

doi:10.1001/jama.2010.63

Cited by 38 publications

(24 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Within OHCs, professionals connect and communicate more easily, regardless of their working place within the network, and regardless of time. Moreover, OHCs can be used to develop disease-specific expertise among all community members, patients, and professionals, interested in a particular chronic condition [26]. …”

Section: Resultsmentioning

confidence: 99%

“…Yet, the collaboration and coordination of care should be improved considerably [29]. Given their synchronous and asynchronous communication capacity, OHCs offer a platform for supporting medical decision-making and interdisciplinary collaboration across professionals caring for complex patients [26,30,31]. OHCs enable communication between community members who are not able to have face-to-face interaction at any point in time.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions

M¹,

Mj²,

Jw³

et al. 2013

J Med Internet Res

196

154

View full text Add to dashboard Cite

BackgroundOur health care system faces major threats as the number of people with multiple chronic conditions rises dramatically.ObjectiveTo study the use of Online Health Communities (OHCs) as a tool to facilitate high-quality and affordable health care for future generations.MethodsOHCs are Internet-based platforms that unite either a group of patients, a group of professionals, or a mixture of both. Members interact using modern communication technologies such as blogs, chats, forums, and wikis. We illustrate the use of OHCs for ParkinsonNet, a professional network for Parkinson disease whose participants—both patients and professionals—use various types of OHCs to deliver patient-centered care.ResultsWe discuss several potential applications in clinical practice. First, due to rapid advances in medical knowledge, many health professionals lack sufficient expertise to address the complex health care needs of chronic patients. OHCs can be used to share experiences, exchange knowledge, and increase disease-specific expertise. Second, current health care delivery is fragmented, as many patients acquire relationships with multiple professionals and institutions. OHCs can bridge geographical distances and enable interdisciplinary collaboration across institutions and traditional echelons. Third, chronic patients lack adequate tools to self-manage their disease. OHCs can be used to actively engage and empower patients in their health care process and to tailor care to their individual needs. Personal health communities of individual patients offer unique opportunities to store all medical information in one central place, while allowing transparent communication across all members of each patient’s health care team.ConclusionsOHCs are a powerful tool to address some of the challenges chronic care faces today. OHCs help to facilitate communication among professionals and patients and support coordination of care across traditional echelons, which does not happen spontaneously in busy practice.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions

M¹,

Mj²,

Jw³

et al. 2013

J Med Internet Res

196

154

View full text Add to dashboard Cite

show abstract

“…70 The combination of web and mobile tools could support exchanges of information that are integrated into the EHR via asynchronous consultations (not live) or live videoconferences.…”

Section: Informatics At the Intersection Of Clinicians And Empowered mentioning

confidence: 99%

The Role of Informatics in Promoting Patient-Centered Care

Snyder¹,

Wu²,

Miller³

et al. 2011

The Cancer Journal

126

104

View full text Add to dashboard Cite

Patient-centered care is an important aspect of high-quality care. Health informatics, particularly advances in technology, has the potential to facilitate, or detract from, patient-centered cancer care. Informatics can provide a mechanism for patients to provide their clinician(s) with critical information, and to share information with family, friends, and other patients. This information may enable patients to exert greater control over their own care. Clinicians may use information systems (e.g., electronic medical records) to coordinate care and share information with other clinicians. Patients and clinicians may use communication tools and information resources to interact with one another in new ways. Caution in using new information resources is warranted to avoid reliance on biased or inappropriate data, and clinicians may need to direct patients to appropriate information resources. Perhaps the greatest challenge for both patients and providers is identifying information that is high-quality and which enhances (and does not impede) their interactions.

show abstract

“…As advocated in the notion of “people-centered care”, it is beyond only treating the disease that the healthcare was targeted at [28]. Within the social media context, the old communication model of “one-to-one” has been transformed to “many-to-many” among patients and healthcare practitioners [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Breast Cancer Symptom Clusters Derived From Social Media and Research Study Data Using Improved $K$ -Medoid Clustering

Ping

Yang

Marshall

et al. 2016

IEEE Trans. Comput. Soc. Syst.

View full text Add to dashboard Cite

Most cancer patients, including patients with breast cancer, experience multiple symptoms simultaneously while receiving active treatment. Some symptoms tend to occur together and may be related, such as hot flashes and night sweats. Co-occurring symptoms may have a multiplicative effect on patients’ functioning, mental health, and quality of life. Symptom clusters in the context of oncology were originally described as groups of three or more related symptoms. Some authors have suggested symptom clusters may have practical applications, such as the formulation of more effective therapeutic interventions that address the combined effects of symptoms rather than treating each symptom separately. Most studies that have sought to identify clusters in breast cancer survivors have relied on traditional research studies. Social media, such as online health-related forums, contain a bevy of user-generated content in the form of threads and posts, and could be used as a data source to identify and characterize symptom clusters among cancer patients. The present study seeks to determine patterns of symptom clusters in breast cancer survivors derived from both social media and research study data using improved K-Medoid clustering. A total of 50,426 publicly available messages were collected from Medhelp.com and 653 questionnaires were collected as part of a research study. The network of symptoms built from social media was sparse compared to that of the research study data, making the social media data easier to partition. The proposed revised K-Medoid clustering helps to improve the clustering performance by re-assigning some of the negative-ASW (average silhouette width) symptoms to other clusters after initial K-Medoid clustering. This retains an overall non-decreasing ASW and avoids the problem of trapping in local optima. The overall ASW, individual ASW, and improved interpretation of the final clustering solution suggest improvement. The clustering results suggest that some symptom clusters are consistent across social media data and clinical data, such as gastrointestinal (GI) related symptoms, menopausal symptoms, mood-change symptoms, cognitive impairment and pain-related symptoms. We recommend an integrative approach taking advantage of both data sources. Social media data could provide context for the interpretation of clustering results derived from research study data, while research study data could compensate for the risk of lower precision and recall found using social media data.

show abstract

Electronic Health Records in the Age of Social Networks and Global Telecommunications

Cited by 38 publications

References 6 publications

Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions

Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions

The Role of Informatics in Promoting Patient-Centered Care

Breast Cancer Symptom Clusters Derived From Social Media and Research Study Data Using Improved $K$ -Medoid Clustering

Contact Info

Product

Resources

About