Summary of the Article About Healthcare and Big Data Management - Paper Example

This article examines the challenges associated with big data on the availability of information in the healthcare. The author notes that, with the adoption of electronic health recording, wearable video devices, genomics, healthcare mobile phone apps, and medical monitoring devices, a massive amount of information is generated in the healthcare industry CITATION Nat16 \l 1033 (Shen, 2017). For instance, a simple consultation produces lots of data, and within a short span, health practitioners are dealing with hundreds of thousands of information. Some general practitioners are not good at using the application to record the patients data, and hence they may input in the wrong forms, may enter incorrect details into the system resulting in inaccurate data and thus, contributing to the unavailability of the data.

The rapid increase in the production of digital data has facilitated the healthcare to extract new insights from the big data. It has embraced the health information technology. From the patient records to communications in the healthcare, every process involves recording data. The vast amount of data has led to the need for a secure, cost-effective, reliable, and efficient storage mechanism which is quite expensive to acquire. A crisis such as the hardware malefactions, catastrophic failures, user errors within the storage structure, regional disaster, and the failure of the site has led to interruptions in accessing the data making it unavailable. Data unavailability has compromised maximum achievement of the applications uptime. Failure in obtaining the data at any given time results in a negative impact on the patients health. The adverse effects may include, severe financial penalty and loss of life

Summary of the Article Information Infrastructures within European Health Care

This article involves the data storage scalability issue in the healthcare industry. The authors claims that the interoperability issues and the scattering of data silos across multiple platforms and applications make it difficult to archive data scalability in the healthcare sector CITATION Hit12 \l 1033 (Aanestad, 2017). The inability to provide an optimized health outcome increases the storage cost. It is a significant challenge to derive values from the massive storage volumes of healthcare data while ensuring the highest standard of data security and privacy is met. The need to maximize the outcome and the value requires organizations within the healthcare industry to work together. They should implement an application programming interface to provide a secure and innovative digital experience. To enhance the storage scalability, the application programming interface should be set as a protocol and routines, and there should be an increase in the awareness of the industry standards such as the Healthcare Interoperability Resources.

Difficulties in the data storage scalability have resulted in frequent interruptions as the healthcare IT department try to expand the storage capacity. This has led to the inefficiency of the data that is being stored on the available storage hardware. Difficulties in scalability have also caused interruptions during additional storage capacity in to the production system. The maintenance of a scalable data storage platform has off recent become critical to the operations of the healthcare industry as a result of data-intensive healthcare application such as the electronic health records and picture archiving and communication systems. The increased demand for the data storage capacity from the strict policies of data retentions, and within the healthcare industry, has as well necessitated the need for a scalable data storage mechanism.

Summary of the Article Registries for Evaluating Patient Outcomes

This article focuses on the performance of a data storage system in the healthcare sector. The author explains that the healthcare data storage performance has fallen below the expectations CITATION Wag13 \l 1033 (Gliklich, 2014). Despite the efforts put in place by the information technology departments in the healthcare industry to enhance the scalability of the application as a result of increased demand for the storage, it has become difficult as the performance of the storage system falls below the expectations. The information technology departments have found out that the storage system is the cause of the bottleneck. The network and the server have improved in performance, but the storage system has not kept up with the pace.

The applications in healthcare organizations utilize storage systems to store data. The performance of the application is hence influenced by the data storage performance which in turn affects the patient care directly. When addressing the storage performance in the healthcare industry, it is not enough to introduce high-speed storage within a specific applications infrastructure. The challenge arises because there is a wide range of databases, various systems are involved in facilitating data storage performance improvement, and many application systems exist as well.

In conclusion, the technology used in the healthcare is supposed to maximize returns on investments. To achieve this, there is a need for enterprise-grade, high-performance, affordable, and reliable storage system. For instance, an application system that leverages any framework of a storage system and provides the most advanced form of data protection and a blazing performance has a significant impact on the return on investments and the total cost of ownership. The storage system needs to be able to expand without disruptions to adapt and fulfill the new requirement demands. The data should be backed up to prevent it from getting lost in case of any threat. The backed up data should be stored off-site or in the clouds to preserve the integrity of the data. The healthcare data presents a tremendous opportunity, it identifies the problems in the healthcare and informs the government on the policies to be improved. It is a quicker and cheaper alternative for the conventional studies and research.

References

BIBLIOGRAPHY Aanestad, M. G. (2017). Information Infrastructures within European Health Care.

Gliklich, E. R. (2014). Registries for Evaluating Patient Outcomes.

Shen, B. (2017). Healthcare and Big Data Management.