In: Nursing
Identify technical and clinical factors that limit the application of data-mining tools in the EHR.
EHRs consist of patient information such as demographics, medications, laboratory test results, diagnosis codes and procedures. Mining EHRs could lead to improvement in patient health management as EHRs contain detailed information related to disease prognosis for large patient populations.
# Technical factors that limits to the application of data mining tools with in the EHR ( Electronic health records): -
Data mining tools allow you to discover patterns and to use those patterns to predict future trends or the likelihood of future events.
The challenges with collecting patient consent within clinical workflows, incorporating patient-reported data, and safeguarding the security of the data.
data collection for EHR-based registries hypothetically could be achieved at the time of a clinical encounter, thus reducing the cost of data collection; however, this has yet to be achieved on a widespread basis.
Some of the legal restrictions in the organization like rules and regulations limitations to do the works electronically.
Due to the lack of common vocabulary capacity conduct to there will be a limited application of data mining tools in the EHR.
Clinical and business function have not been well integrated because clinical functions are entirely different from business functions.
- A "big data", and tools that have traditionally been applied to other industries are now being considered in health care, With regards to the software tools that you may use to solve data mining problems.
- Data sources include claims data,
- survey data,
- Data derived from biometric monitoring, etc.