Moving patient data online is a great boon for the medical practice. Patient records, past paper pieces, a transition to electronic health records, or EHRs will be provided in a folder. It also enhances the patient’s privacy and data security questions. If it is doing wonders to provide large data for machine learning, it is better connecting technologies like transmitting records and dressing tools between offices.
The beginning of this story is about data size. In 2011, Duquesne University estimated the amount of health data for 150 exabytes. In 2015, they have noted that 83 percent of doctors adopted electronic records. Right now on this surface, it sounds good.
Thanks to all the data collected, predictive analytics is possible. This will help health professionals make wise decisions about the care of patients. One special physician can catch the comorbid properties of other problems. An additional bonus that could make better decisions for larger data. It can also create new characters such as nurse informaticist. These nurses affect the care and health policy for patients. But the key is to use large data to make these decisions.
For example, they have enough nurses to manage the patients. They can assess the needs of staff based on historical data. Before adopting EHRs and machine learning, this job is the technology that makes possible, and the decisions are not present.
Privacy and Security
On the flip side, a large number of data needs security requirements for high standards. Data violations can expose patient data. Only in the first quarter of 2018, nearly 1.13 million records were disclosed due to the data breach. Then, in July, more than 2 million records were revealed. Over the past 8 years, 176 million records have been violated.
Worse, in 2016, WannaCry locked hospitals from ransomware EHRs, stopping all patient care effectively due to lack of access to patient maps. Hospitals have to pay a ransom or suffer from the loss of their patients. In 1996, the Health Insurance Portability and Accountability Act came into play. More commonly known as HIPAA. HIPPA puts hard offenses on a company that requires a successful violation of the target. Penalties are divided into four categories.
Violation of realistic avoidance, the action was taken by the company or hospital, is a violation of a category 1. This resulted in a $ 50,000 minimum fine of at least $ 100 violation.
One problem is 2 company violation. The company needs to know about the problem but can not prevent the violation. It has the same penalties as a category 1, but with at least $ 1,000 fine breach.
Although attempting to rectify negligence, it is an attempt to correct the breach. It is at least $ 10,000 for breach of $ 50,000.
The worst violation, Section 4, the correction has willful neglect, no less than $ 1.5 million, has a minimum penalty of $ 50,000 in violation.
Still, as long as companies have data, someone tries to steal it. Safety should be continually developed to withstand the risk of patient record fraud. The size and quality of records of patients transmitted online are awesome in the original sense of the word. It has distant implications for what can be done with future data regarding large data, machine learning, and assessment analyzes. This only improves as more data is included.
However, this will provide increased security risk from time to time and security researchers need to be able to maintain the information as safe as possible and to keep the companies in compliance with HIPAA.