scholarly journals The Role of the Health Care Provider in Building Trust Between Patients and Precision Medicine Research Programs

2018 ◽  
Vol 18 (4) ◽  
pp. 26-28 ◽  
Author(s):  
Anitra Persaud ◽  
Vence L. Bonham
Keyword(s):  
Health Care ◽  
Precision Medicine ◽  
Health Care Provider ◽  
Care Provider ◽  
Medicine Research ◽  
Building Trust ◽  
Research Programs ◽  
Precision Medicine Research

scholarly journals Can Precision Medicine Reduce the Burden of Diabetes?

2019 ◽  
Vol 29 (Supp) ◽  
pp. 669-674
Author(s):  
Wylie Burke ◽  
Susan Brown Trinidad ◽  
David Schenck
Keyword(s):  
Health Care ◽  
Precision Medicine ◽  
Health Care Access ◽  
Collective Responsibility ◽  
Good Health ◽  
Medicine Research ◽  
Care Access ◽  
Scant Attention ◽  
Health Promoting ◽  
Precision Medicine Research

Precision medicine is a new health care concept intended to hasten progress toward individualized treatment and, in so doing, to improve everyone’s opportunity to enjoy good health. Yet, this concept pays scant attention to opportunities for change in the social determinants that are the major driv­ers of health. Precision medicine research is likely to generate improvements in medical care but may have the unintended conse­quence of worsening existing disparities in health care access. For prevention, precision medicine emphasizes comprehensive risk prediction and individual efforts to accom­plish risk reduction. The application of the precision medicine vision to type 2 diabe­tes, a growing threat to population health, fails to acknowledge collective responsibility for a health-promoting society.Ethn Dis. 2019;29(Suppl 3):669-674;doi:10.18865/ed.29.S3.669

scholarly journals The Continued Mistreatment of Women During Pregnancy and Childbirth

2019 ◽  
Vol 28 (4) ◽  
pp. 183-185
Keyword(s):  
United States ◽  
Health Care ◽  
Health Care Provider ◽  
Care Provider ◽  
Maternity Care ◽  
The United States ◽  
Place Of Birth ◽  
Pregnancy And Childbirth ◽  
Childbearing Women

Mistreatment of women during pregnancy and childbirth continues to define our American way of birth in spite of decades of awareness and concern. The Giving Voice to Mothers study identifies the incidence of mistreatment of childbearing women in the United States, the factors that increase a woman's risk of being mistreated including socio economic and racial characteristics, place of birth, and health-care provider. This editorial highlights the study findings, the role of the current maternity care system in perpetuating inequality and mistreatment, and calls on all stakeholders to create a culture that cares for women with respect and dignity. The editor also describes the contents of this issue, which offer a broad range of resources, research, and inspiration for childbirth educators in their efforts to promote, support, and protect natural, safe, and healthy birth.

scholarly journals Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform

10.2196/13043 ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. e13043 ◽  
Author(s):  
Jacob McPadden ◽  
Thomas JS Durant ◽  
Dustin R Bunch ◽  
Andreas Coppi ◽  
Nathaniel Price ◽  
...  
Keyword(s):  
Health Care ◽  
Precision Medicine ◽  
Data Science ◽  
Medicine Research ◽  
Precision Medicine Research ◽  
Research Analysis

scholarly journals Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform (Preprint)

2018 ◽  
Author(s):  
Jacob McPadden ◽  
Thomas JS Durant ◽  
Dustin R Bunch ◽  
Andreas Coppi ◽  
Nathaniel Price ◽  
...  
Keyword(s):  
Health Care ◽  
Big Data ◽  
Precision Medicine ◽  
Open Source ◽  
Real Time ◽  
Data Science ◽  
Patient Monitoring ◽  
Medicine Research ◽  
Health Care Data ◽  
Precision Medicine Research

BACKGROUND Health care data are increasing in volume and complexity. Storing and analyzing these data to implement precision medicine initiatives and data-driven research has exceeded the capabilities of traditional computer systems. Modern big data platforms must be adapted to the specific demands of health care and designed for scalability and growth. OBJECTIVE The objectives of our study were to (1) demonstrate the implementation of a data science platform built on open source technology within a large, academic health care system and (2) describe 2 computational health care applications built on such a platform. METHODS We deployed a data science platform based on several open source technologies to support real-time, big data workloads. We developed data-acquisition workflows for Apache Storm and NiFi in Java and Python to capture patient monitoring and laboratory data for downstream analytics. RESULTS Emerging data management approaches, along with open source technologies such as Hadoop, can be used to create integrated data lakes to store large, real-time datasets. This infrastructure also provides a robust analytics platform where health care and biomedical research data can be analyzed in near real time for precision medicine and computational health care use cases. CONCLUSIONS The implementation and use of integrated data science platforms offer organizations the opportunity to combine traditional datasets, including data from the electronic health record, with emerging big data sources, such as continuous patient monitoring and real-time laboratory results. These platforms can enable cost-effective and scalable analytics for the information that will be key to the delivery of precision medicine initiatives. Organizations that can take advantage of the technical advances found in data science platforms will have the opportunity to provide comprehensive access to health care data for computational health care and precision medicine research.

scholarly journals Insights for rural health care provider retention : a quantitative survey analysis

2021 ◽  
Author(s):  
◽  
Maria Kuhns
Keyword(s):  
Health Care ◽  
Rural Communities ◽  
Rural Health ◽  
Health Care Provider ◽  
Health Care Providers ◽  
Care Provider ◽  
Rural Health Care ◽  
Care Providers ◽  
The Impact

Due to rural health disparities and an uneven distribution of health providers across the rural urban continuum, retaining the existing rural health care provider workforce may be an important strategy to maintain existing rural health care provision. While a large body of literature addresses how to recruit health care providers to rural areas, less is known about how to retain these providers. Even less literature has focused on the role of rural communities in health care provider retention. In this thesis, I examine the role of provider background and familial characteristics, workplace characteristics, and community characteristics that may impact a provider's likelihood to consider leaving a rural community. I use data from a survey of over 900 rural health care providers across nine states and a probit model to estimate the impact of these characteristics on a provider's propensity to consider leaving. I find that establishing social ties and integrating within the community through volunteering reduces providers' likelihood to consider leaving by 10 percent. Additionally, providers who engage in entrepreneurship by investing in part or all of their practice are 12 percent less likely to consider leaving, all else being equal. I also find that having unacceptable on-call responsibilities increases a provider's likelihood to consider leaving by 17 percent. This thesis contributes to the existing literature by estimating the effects of work-life balance, entrepreneurship, and the role of family and personal integration on provider retention. Furthermore, it emphasizes the role of communities in provider retention. These results offer insights to rural communities and decision-makers seeking to identify how to maintain their existing rural health care workforce.

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