Health Information System SLP 2

Answer

Health Information System SLP 2

            The use of  Health information systems (HIS) and big data within the health care field has remained to be an effective consideration as reflected in different health care settings as in the case of the correctional facility identified in module 1. This paper outlines how to explain the concept of data analytics to the leadership team within the correctional facility, the Big Data opportunities and its benefits to the patient, and its capacity to identify healthcare fraud.

The Meaning of Big Data Analytics

            To the leadership team, I would explain big data analytics by illustrating what is meant by the concept. I would also rely on the use of secondary sources to ensure that the leaders understand the big data analytics concept.

The meaning of big data analytics

            Big data analytics refers to the utilization of advanced analytic techniques against diverse and large sets of big data. This can include structured, unstructured, and semi-structured sources of data in varied sizes, ranging from zettabytes to terabytes (Harman et al., 2012). Cloud applications are an example of big data.

Big Data Opportunities

            There are several big data opportunities that can be considered in the case of a correctional facility. The first one includes the fact that the Big Data technology use will be effective in enhancing the quality of care within the organization. Debenham (2016) states that big data analytics is desirable in making it simpler for the researchers and the clinical practitioners to engage in an effective diagnosis of conditions which further encourages their potential to accurately treat diseases. Therefore, in the correctional facility, analyzing the vast amount of the patient health data will be simpler making it desirable to diagnose any rare conditions related to health.

            Big data will also be desirable in reducing medical costs within the correctional facility. Notably, the use of big data analytics will do away with instances of unnecessary testing. This will be achieved by the use of technologies such as remote patient monitoring devices and predictive analytics to offer desirable clinical decision support effective in preventing costly adverse events (Debenham, 2016).

            Big data analytics is also effective in increasing the potential for effective decision-making on matters related to health within the facility. Arguably, the models of big data analytics can assist the policymakers in the generation of desirable care decisions within the correctional facility, which contributes to an effective population and public health (Kuo, 2011).   

How Big Data can Benefit Patients

            The usage of big data within the correctional facility will ensure that the patients in the area benefit from an improved patient outcome. Notably, the technology will facilitate the process whereby the patients obtain timely and quality care by predicting the numbers expected within a day through the time series analysis technique (Kuo, 2011). As a result, aspects such as desirable resource allocation and effective patient treatment outcomes are experienced.

How Big Data is used to identify Healthcare Fraud

            Big data is used to identify healthcare fraud by including fundamental details about the care stakeholders such as physician certification, patient zip codes, and insurers’ detail to prevent deliberate deception. Moreover, big data-powered machine learning is desirable in the identification of any abnormal patterns in the individual providers depending on their historic details that constantly become updated to obtain more accurate findings (Debenham, 2016).

Conclusion

            Conclusively, the use of HIS and big data analytics in the correctional facility will be effective in cost reduction. Additionally, this will be effective in improving patient outcomes through timely delivery of quality services.