4 Things Healthcare Providers Should Consider When Looking for Data Protection
Protecting healthcare data is difficult because healthcare providers must balance delivering efficient services and safeguarding the patient’s privacy. The patient’s data should be highly protected according to the strictest regulations of the health insurance portability and accountability act of 1996.
Since most of the patient’s private data is maintained by individuals, it is most susceptible to criminals. Therefore, the health care providers and other organizations responsible for handling and transmitting health care information should embrace strict data protection. Failure to adhere to such privacy can attract hefty fines and penalties.
However, as a healthcare provider, you should be OK with how you will achieve the required degree of data protection, as many solutions are available. For instance, TripleBlind has tools that allow you to manage patient data precisely. You decide who can use the data and when that data is available. Below are four things healthcare providers should consider when looking for data protection.
1. Automatic De-Identification
In data protection, de-identification or anonymization is the process or a technique whereby a system removes all the data from a dataset that could identify a company or even an individual. Therefore, it is a way of protecting personal data by removing all personally identifiable information. For instance, you can anonymize the data used in model training or analysis. However, you should not worry about this, as TripleBlind will anonymize your data while enabling output with the same results as raw data.
2. Scalable Computation
Scalability in computation is necessary for a computer application, hardware, or software to continue working well even when the volume or size is changed to meet the user’s needs. For this reason, TripleBlind will scale your source data’s location and size. The system will collaborate with any combination of datasets or measures without compromising accuracy and speed.
3. Agnostic to Data and Algorithm Type
In computation, a software program or a device is considered agnostic to data if the format or method of transmitting the information is irrelevant to the program’s function or the device. Some programs or devices need data to be presented in a particular format to process it. However, TripleBlind will support every type of data, whether structured or unstructured. The software supports text, audio, image, and videos, all protected in use enabling collaboration between various healthcare providers.
4. Data Never Moves
Data never moves, or data at rest means that the data is not actively moving from network to network or device to device. With TripleBlind, data never moves, meaning there are no chances of duplicated data. This feature enables you to use the same data everywhere. Therefore, the broader patient samples will lead to better optimization of the model and more accurate results from the analysis.
Protecting healthcare data is difficult because healthcare providers must balance delivering efficient services and safeguarding the patient’s privacy. But there are various things healthcare providers should consider when looking for data protection. They include automatic de-identification, scalable computation, agnostic to data and algorithm type, and data never moves.