scholarly journals How Big Data, Comparative Effectiveness Research, and Rapid-Learning Health-Care Systems Can Transform Patient Care in Radiation Oncology

2018 ◽  
Vol 8 ◽  
Author(s):  
Jason C. Sanders ◽  
Timothy N. Showalter
Keyword(s):  
Health Care ◽  
Big Data ◽  
Patient Care ◽  
Comparative Effectiveness Research ◽  
Radiation Oncology ◽  
Comparative Effectiveness ◽  
Health Care Systems ◽  
Effectiveness Research ◽  
Rapid Learning ◽  
Care Systems

scholarly journals Comparative Effectiveness Research, Genomics-Enabled Personalized Medicine, and Rapid Learning Health Care: A Common Bond

2012 ◽  
Vol 30 (34) ◽  
pp. 4233-4242 ◽  
Author(s):  
Geoffrey S. Ginsburg ◽  
Nicole M. Kuderer
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Comparative Effectiveness Research ◽  
Comparative Effectiveness ◽  
Clinical Utility ◽  
Tumor Biology ◽  
Effectiveness Research ◽  
Rapid Learning ◽  
And Personalized Medicine ◽  
Evidence Generation

Despite stunning advances in our understanding of the genetics and the molecular basis for cancer, many patients with cancer are not yet receiving therapy tailored specifically to their tumor biology. The translation of these advances into clinical practice has been hindered, in part, by the lack of evidence for biomarkers supporting the personalized medicine approach. Most stakeholders agree that the translation of biomarkers into clinical care requires evidence of clinical utility. The highest level of evidence comes from randomized controlled clinical trials (RCTs). However, in many instances, there may be no RCTs that are feasible for assessing the clinical utility of potentially valuable genomic biomarkers. In the absence of RCTs, evidence generation will require well-designed cohort studies for comparative effectiveness research (CER) that link detailed clinical information to tumor biology and genomic data. CER also uses systematic reviews, evidence-quality appraisal, and health outcomes research to provide a methodologic framework for assessing biologic patient subgroups. Rapid learning health care (RLHC) is a model in which diverse data are made available, ideally in a robust and real-time fashion, potentially facilitating CER and personalized medicine. Nonetheless, to realize the full potential of personalized care using RLHC requires advances in CER and biostatistics methodology and the development of interoperable informatics systems, which has been recognized by the National Cancer Institute's program for CER and personalized medicine. The integration of CER methodology and genomics linked to RLHC should enhance, expedite, and expand the evidence generation required for fully realizing personalized cancer care.

scholarly journals Return to Normalcy? Principles on Resuming Surgical Services in the COVID-19 Era

OTO Open ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 2473974X2093665
Author(s):  
Taher S. Valika ◽  
Kathleen R. Billings
Keyword(s):  
Health Care ◽  
Patient Care ◽  
Health Care Systems ◽  
Lessons Learned ◽  
Drastic Reduction ◽  
The Public ◽  
Surgical Services ◽  
Outpatient Visits ◽  
Care Systems ◽  
Full Capacity

The rapidly changing health care climate related to coronavirus disease 2019 (COVID-19) has resulted in numerous changes to health care systems and in practices that protect both the public and the workers who serve in hospitals around the country. As a result, these past few months have seen a drastic reduction in outpatient visits and surgical volumes. With phased reopening and appropriate guidance, health care systems are attempting to return to normal. Our institution has had the unique opportunity to already return operations back to full capacity. The experiences and lessons learned are described, and we provide guiding principles to allow for a safe and effective return to patient care.

Randomized Controlled Trials and Comparative Effectiveness Research

2012 ◽  
Vol 30 (34) ◽  
pp. 4194-4201 ◽  
Author(s):  
Olwen M. Hahn ◽  
Richard L. Schilsky
Keyword(s):  
Health Care ◽  
Randomized Controlled Trials ◽  
Comparative Effectiveness Research ◽  
Comparative Effectiveness ◽  
Cost Effective ◽  
Health Care Research ◽  
Controlled Trials ◽  
Effectiveness Research ◽  
Randomized Controlled

Comparative effectiveness research (CER) has been promoted as a way to improve the translation gap between clinical research and everyday clinical practice as well as to deliver more cost-effective health care. CER will account for a significant portion of funding allocated by the US government for health care research. Oncology has a rich history of improving clinical outcomes and advancing research through randomized controlled trials (RCTs). In this article, we review the role of RCTs in achieving the goals of CER, with particular emphasis on the role of publicly funded clinical trials.

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