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Full-Text Articles in Medicine and Health Sciences
Identifying High Risk Patients For Hospital Readmission, Ethan Graham, Asha Saxena, Heather Kirby
Identifying High Risk Patients For Hospital Readmission, Ethan Graham, Asha Saxena, Heather Kirby
SMU Data Science Review
The Affordable Care Act (ACA), passed in 2010, set forth a framework for healthcare providers to have a vested interest in better patient outcomes and to reduce the Total Cost of Care (TCOC) for patients. A large portion of TCOC comes from patients who make multiple unscheduled hospital visits for the same underlying pathology: a hospital readmission. In this paper, we tackle the difficulty of identifying risk markers for diabetes patients’ hospital readmission. Using data from the Health Facts Database, we use logistic regression and support vector machines to identify the risk that a diabetes patient has of a hospital …
Abstracts From The 25th Annual Health Care Systems Research Network Conference, April 8–10, 2019, Portland, Oregon
Journal of Patient-Centered Research and Reviews
The Health Care Systems Research Network (HCSRN) is made up of nonprofit health systems with embedded research departments whose scientists are dedicated to public domain research. The network’s annual conference serves as a forum for research teams to disseminate study findings, stimulate new collaborations, and share insights about conducting research in real-world care settings. Abstracts accepted for presentation at HCSRN 2019 are published in this supplement of Journal of Patient-Centered Research and Reviews, the official scientific journal of the conference.
The Use Of Big Data By Managed Care Organizations, Bojing Wang, Xiaoying Liu, Alberto Coustasse
The Use Of Big Data By Managed Care Organizations, Bojing Wang, Xiaoying Liu, Alberto Coustasse
Management Faculty Research
Big data have become available in all kinds of healthcare organizations. The application of big data analytics in Managed Care Organizations (MCOs) has the potential to improve health care, lower costs, save lives, and help to make better-informed decisions. The study illustrated the implication of big data in MCOs. Big data can help MCOs reduce patients’ relevance, analyze specific diseases such as asthma and diabetes. Big data also could help MCOs to reduce cost after collecting data and determined the specific patients’ situation. The implication of big data has benefited MCOs in reducing costs, improving the quality of healthcare care. …
Social Workers And Early Intervention With Diabetic Clients, Rievu Agiri
Social Workers And Early Intervention With Diabetic Clients, Rievu Agiri
Walden Dissertations and Doctoral Studies
Social workers are uniquely positioned to facilitate early intervention services that minimize the impact and burden of Type 2 diabetes. There is little evidence on the specific role that social workers play in addressing the psychosocial factors that exacerbate the condition or impact treatment outcomes. The purpose of the study was to examine the role of social workers in facilitating early interventions for clients with Type 2 diabetes. The theories of role and organizational systems provided the conceptual framework. Data was collected from interviews with eight participants with Master's degrees in Social Work in a large Southwestern state in the …
Health Outcomes For Low-Income Older Adults With Diabetes Who Receive Services From Meals On Wheels, Monyca Johnson
Health Outcomes For Low-Income Older Adults With Diabetes Who Receive Services From Meals On Wheels, Monyca Johnson
Senior Honors Theses and Projects
INTRODUCTION: As the population continues to age and healthcare costs steadily increase, identifying what factors possibly add to the risk of hospitalization will help find effective solutions targeting these issues. HYPOTHESIS: We hypothesized that Medicaid and Medicare dual eligibility, membership in a racial minority, and female gender would increase the risk of hospitalizations in the past year. We further hypothesized that receipt of food assistance would decrease the risk of hospitalization for older adults with diabetes. METHODS: For this study, we conducted a secondary analysis of data from the National Health and Aging Trends Study (NHA TS) to test the …