DATA MINING IN HEALTHCARE:
Data mining in healthcare has proven effective in areas such as predictive medicine, customer relationship management, detection of fraud and abuse, management of healthcare, and measuring the effectiveness of certain treatments.
Data mining techniques used in healthcare Source:
HEALTHCARE DATA MINING AND ITS EFFECT ON PATIENT PRIVACY:
üData mining is proving beneficial for healthcare, but it has also come with a few patient privacy concerns..
MEASURING TREATMENT
EFFECTIVENESS:
DETECTING FRAUD AND ABUSE:
THE FUTURE OF DATA MINING IN HEALTHCARE
The shift from written to electronic health records has played a huge part in the push to use patient data to improve areas of the healthcare industry.
Data mining is also projected to help cut costs. If the U.S. healthcare industry continues to use big data to drive efficiency and quality, the value could be significant. According to research from McKinsey and Company, system wide data analytics efforts could cut overall healthcare costs by 12-17%.
The adoption of electronic health records have allowed healthcare professionals to distribute the knowledge across all sectors of healthcare, which in turn, helps reduce medical errors and improve patient care and satisfaction.
The future of healthcare may well depend on using data mining to decrease healthcare costs, identify treatment plans and best practices, measure effectiveness, detect fraudulent insurance and medical claims, and ultimately, improve the standard of patient care.
The goal in healthcare is not to protect privacy, the goal is to save lives
good info
ReplyDelete