Contents
How are clinical data used in medical research?
Clinical data is a staple resource for most health and medical research. Clinical data is either collected during the course of ongoing patient care or as part of a formal clinical trial program. Clinical data falls into six major types: Electronic health records. Administrative data. Claims data. Patient / Disease registries.
What happens to raw data during a clinical trial?
During the course of the trial, the raw data are abstracted, coded, and transcribed. After participant activities have ended, the data are cleaned into an analyzable data set. Both the raw data and the analyzable data set are individual participant data.
What kind of data is collected in a medical record?
Often referred to as the electronic medical record (EMR), the EMR is generally not available to outside researchers. The data collected includes administrative and demographic information, diagnosis, treatment, prescription drugs, laboratory tests, physiologic monitoring data, hospitalization, patient insurance, etc.
Who are the largest sources of clinical data?
Access to participant-level clinical research data and/or comprehensive reports of clinical research. Partners include Medtronic and Johnson & Johnson.
How is the level at which you measure a variable determined?
The level at which you measure a variable determines how you can analyze your data. The different levels limit which descriptive statistics you can use to get an overall summary of your data, and which type of inferential statistics you can perform on your data to support or refute your hypothesis.
When to use appraisal of clinical data as an example?
For additional information, see Appendix A6 (Appraisal of clinical data – examples of studies that lack scientific validity for demonstration of adequate clinical performance and/or clinical safety). In exceptional situations, when an evaluation is based on limited data, this shall be described and justified in the clinical evaluation report.
How does the level of measurement affect statistics?
The level at which you measure a variable determines how you can analyze your data. Depending on the level of measurement, you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis.