Big data Systems in Healthcare
Potential Benefit of using Big Data as part of a Clinical System
Bid data in healthcare relates to the abundance of health data that are derived from numerous sources such as electronic records, genomic sequencing, research, medical insurance records that help improve in the delivery of healthcare services (HealthLeaders, 2019). The adoption of the use of big data systems in any healthcare organization can help improve the services such a driving healthcare from a fee-for-service model into one that is value based and more concerned with patient outcome. In such an event it is possible to realize reduce healthcare cost while maximizing patient services in terms of diagnosis and treatment. A good example is the new approach in technology where mobile applications have been used to monitor the health of patients. These applications rely of big data systems which are backed up in cloud serves (Catalyst, 2018). Such applications can them offer advice to their patients about their health condition and inform them when to seek medical attention based on the information they input on the devices. All this application relies on big data systems in healthcare
Potential Challenge of using Big Data as part of a Clinical System
One of the greatest big data challenge is the issue of data privacy. In the big data systems patient information is share among many governmental agencies, hospital administrative offices, and even among medical payers such as in the case of insurance firms (Nambiar et al., 2013). As such it becomes a great task to protect patient information from third parties as required by the HIPAA regulations. The high risk involved during data access, transmission and even authentication requires highly reliable and convenient systems to ensure patient data remains secured.
Strategy to mitigate the Described challenges of Using Big Data
The issue of healthcare data security remains to be a challenge for the effective functioning of the big data systems in healthcare. For instance patient’s data may accidentally leak out during access and transition to other hospital and governmental agencies. The best way to avoid such challenges is through the adoption of cloud services for storage and transmission of patient data (Kruse et al., 2016). In this case, healthcare services using big data systems will have to use highly specialized data scientists and IT staffs with adequate skills to run data analytics. Healthcare systems will also have to adopt more sophisticated IT infrastructures that are able to access the cloud services efficiently.