Addressing Social Determinants of Health Using Big Data

2014 ◽  
pp. 136-157
Keyword(s):  
Big Data ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health

scholarly journals Meaningful Information in the Age of Big Data: A Scoping Review on Social Determinants of Health Data Collection for Electronic Health Records

2019 ◽  
Author(s):  
Kelsey Berg ◽  
Chelsea Doktorchik ◽  
Hude Quan ◽  
Vineet Saini
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Electronic Health Records ◽  
Social Determinants Of Health ◽  
Health Systems ◽  
Social Determinants ◽  
Scoping Review ◽  
Determinants Of Health ◽  
Health Records ◽  
Automated Technology

Abstract Background: Electronic Health Records (EHRs) are key tools for integrating patient data into health information systems (IS). Advances in automated data collection methodology, particularly the collection of social determinants of health (SDOH), provide opportunities to advance health promotion and illness prevention through advanced analytics (i.e. “Big Data” techniques). We ask how current data collection processes in EHRs permit SDOH data to flow throughout health systems. Methods: Using a scoping review framework, we searched through medical literature to identify current practices in SDOH data collection within EHR systems. We extracted relevant information on data collection methodology, specifically focusing on uses of automated technology. We discuss our findings in the context of research methodology and potential for health equity. Results: Practitioners collect a variety of SDOH data at point of care through EHR, predominantly via embedded screening tools and clinical notes, and primarily capturing data on financial security, housing status, and social support. Health systems are increasingly using digital technology in data collection, including natural language processing algorithms. However overall use of automated technology is limited to date. End uses of data pertain to improving system efficiency, patient care-coordination, and addressing health disparities. Discussion & Conclusion: EHRs can realistically promote collection and meaningful use of SDOH data, although EHRs have not extensively been used to collect and manage this type of information. Future applied research on systems-level application of SDOH data is necessary, and should incorporate a range of stakeholders and interdisciplinary teams of researchers and practitioners in fields of health, computing, and social sciences.

scholarly journals Social determinants of health in the Big Data mode of population health risk calculation

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110628
Author(s):  
Rachel Rowe
Keyword(s):  
Public Health ◽  
Big Data ◽  
Social Determinants Of Health ◽  
Population Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Individual Risk ◽  
Risk Calculation ◽  
Health And Illness ◽  
The Usa

Amidst the climate of crisis surrounding the rise in opioid-related overdose in the USA, early in 2019, Google and Deloitte launched ‘Opioid360’. Here came a platform combining browser histories, credit, insurance, social media, and traditional survey data to sell the service of risk calculation in population health. Opioid360's approach to automating risk calculation not only promised to identify persons ‘at risk’ of opioid dependence, but also paved the way for broader applications anticipating common chronic diseases and coordinating logistical operations involved in pandemic response. Beginning with this experimental platform, this paper develops an analysis of the Big Data mode of risk calculation - an epistemological and political shift that involves technology companies, investors, insurers, governments, and public health institutions. The analysis focuses on the re-emergence of ‘social determinants of health’ (SDOH) in the rhetoric accompanying novel analytic platforms that estimate, calculate, and compute individual health risks. While the treatment of SDOH has always been a site of political contestation within the discipline of public health, powerful interests are crystallising around the concept and instrumentalising it in platforms that sell algorithmic prediction. Silicon Valley's breed of asset-oriented technoscience appears not only to be amplifying the behaviouralist elements of public health. Among the stakes of the Big Data mode is the paradoxical retreat from changing social conditions that contribute to the prevalence of health and illness in populations; and instead, the promotion of an apparatus for pricing and exchanging individual risk or excluding from services those who bear risk most acutely.

scholarly journals Public and Population Health Informatics: The Bridging of Big Data to Benefit Communities

2018 ◽  
Vol 27 (01) ◽  
pp. 199-206 ◽  
Author(s):  
Roland Gamache ◽  
Hadi Kharrazi ◽  
Jonathan Weiner
Keyword(s):  
Public Health ◽  
Big Data ◽  
Social Determinants Of Health ◽  
Population Health ◽  
Social Determinants ◽  
Information Exchange ◽  
Health Informatics ◽  
Determinants Of Health ◽  
Geographical Information ◽  
Care Providers

Objective: To summarize the recent public and population health informatics literature with a focus on the synergistic “bridging” of electronic data to benefit communities and other populations. Methods: The review was primarily driven by a search of the literature from July 1, 2016 to September 30, 2017. The search included articles indexed in PubMed using subject headings with (MeSH) keywords “public health informatics” and “social determinants of health”. The “social determinants of health” search was refined to include articles that contained the keywords “public health”, “population health” or “surveillance”. Results: Several categories were observed in the review focusing on public health's socio-technical infrastructure: evaluation of surveillance practices, surveillance methods, interoperable health information infrastructure, mobile health, social media, and population health. Common trends discussing socio-technical infrastructure included big data platforms, social determinants of health, geographical information systems, novel data sources, and new visualization techniques. A common thread connected these categories of workforce, governance, and sustainability: using clinical resources and data to bridge public and population health. Conclusions: Both medical care providers and public health agencies are increasingly using informatics and big data tools to create and share digital information. The intent of this “bridging” is to proactively identify, monitor, and improve a range of medical, environmental, and social factors relevant to the health of communities. These efforts show a significant growth in a range of population health-centric information exchange and analytics activities.

Addressing the Social Determinants of Health

2019 ◽  
Vol 101 (4) ◽  
pp. 357-395 ◽  
Author(s):  
Saty Satya-Murti ◽  
Jennifer Gutierrez
Keyword(s):  
Twentieth Century ◽  
Los Angeles ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Social Activism ◽  
Determinants Of Health ◽  
Medical Attention ◽  
Community Center ◽  
Early Twentieth Century ◽  
The Social

The Los Angeles Plaza Community Center (PCC), an early twentieth-century Los Angeles community center and clinic, published El Mexicano, a quarterly newsletter, from 1913 to 1925. The newsletter’s reports reveal how the PCC combined walk-in medical visits with broader efforts to address the overall wellness of its attendees. Available records, some with occasional clinical details, reveal the general spectrum of illnesses treated over a twelve-year span. Placed in today’s context, the medical care given at this center was simple and minimal. The social support it provided, however, was multifaceted. The center’s caring extended beyond providing medical attention to helping with education, nutrition, employment, transportation, and moral support. Thus, the social determinants of health (SDH), a prominent concern of present-day public health, was a concept already realized and practiced by these early twentieth-century Los Angeles Plaza community leaders. Such practices, although not yet nominally identified as SDH, had their beginnings in the late nineteenth- and early twentieth-century social activism movement aiming to mitigate the social ills and inequities of emerging industrial nations. The PCC was one of the pioneers in this effort. Its concerns and successes in this area were sophisticated enough to be comparable to our current intentions and aspirations.

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