- What is the expected course of a disease, e.g., spontaneous cure or progression without clinical intervention?
- Which tests/examinations should be used to diagnose a disease and predict its course, minimizing false positive and false negative results?
- What is the likelihood that a clinical intervention will be beneficial: curing or preventing a disease, slowing its progression, or reducing its symptom burden?
- What are the risks -- side effects or complications -- from selected treatments and interventions?
Information technology is transforming the way medical care is carried out and managed, and improved diagnostics and new treatments also may help address the challenges of contemporary medicine. However, these advances alone will not solve the problems and, in any case, impose their own challenges. There is a clear need to integrate research on innovative diagnostics, treatments, and information technology with traditional epidemiological and clinical data, in order to provide the knowledge necessary to ensure better clinical outcomes at an affordable level of health care spending.
Clinical Epidemiology would like to invite scientists to submit papers covering these important challenges.
Dr. Henrik Toft Sorensen
Editor-in-Chief, Clinical Epidemiology
Read Original Blog Here
No comments:
Post a Comment