MHA 605 Week 1 – Discussion

Five Levels of Analytical Capability

The role of analytics has recently taken its place in the health care community. In this discussion, you will share your understanding of how the five levels of analytical capability will affect the two major areas of fiscal and operational, and clinical and patient safety. Additionally, be sure to address the following:

• Based on your reading assignments include some of the defining descriptive and predictive analytics that will affect the future of “big data” in health care. Considering the current factors affecting the future of analytics in health care may be related to meaningful use, the accountable care organizations (ACO), and the protection of patient privacy. Based on your assessment, provide a glimpse of what the future of healthcare analytics may look like.

Guided Response: Review your peers’ posts and provide a substantive response to at least two of your classmates’ posts by Day 7. A substantive response is a respectful, professional, and unique response that is at least five sentences in length and incorporates the following:

• Highlights the key points of what you have learned from your peer’s post.
• Adds your content knowledge.
• Compares and contrasts.
• Provides further research.
• Is topic-related.

Required Resources

Text

Davenport, T. H. (Ed). (2014). Analytics in healthcare and the life sciences: Strategies, implementation, methods, and best practices. Upper Saddle River, NJ: International Institute for Analytics, Pearson Publisher. ISBN 13: 9780133407334

• Part I: An Overview of Provider, Payer, and Life Sciences Analytics – this section of the text provides a foundational understanding of all healthcare stakeholders and how each contribute to the industry. The section also covers the how data is examined and distributed to stakeholders. These textbook readings will provide assistance with the CSBI exam, discussion question two, and the assignment.

Article

Berg, G. (2015). . HealthcareIT News. Retrieved from http://www.healthcareitnews.com/blog/3-ways-big-data-improving-healthcare-analytics

• Healthcare facilities are now trying to track trends and patterns from multiple sources in an effort to contain costs and drive effect quality patient care. The focus of this research article is to highlight the benefits of analytics in targeting, delivering, and collaborating programs to provide improved healthcare outcomes.  This article will provide assistance with the CSBI exam, discussion question two and the assignment.

Website

. (n.d.). Retrieved from http://www.hfma.org/

• The Healthcare Financial Management Association is an organization of healthcare finance leaders that builds and supports coalitions with other healthcare associations and industry groups to face the challenges the U.S. healthcare system faces today. This website will provide assistance with your CSBI exam preparation and your assignment.
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Recommended Resource

Multimedia

Selanikio, J. (2013). [Video file]. Retrieved from https://www.ted.com/talks/joel_selanikio_the_surprising_seeds_of_a_big_data_revolution_in_healthcare#t-48311

• This seventeen-minute video discusses how technology and data to help solve global health challenges. The author provides a very concise, but precise overview of big data and the future of global health. This video will provide assistance with the CSBI exam and the discussion question.

MHA 605 Week 1 – Discussion

Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Refer to the Discussion Forum Grading Rubric under the Settings icon above for guidance on how your discussion will be evaluated.

Analytics in Healthcare

The use of analytics in healthcare has revolutionized the system by increasing the efficiency with which services are delivered. According to Raghupathi and Raghupathi (2014), running healthcare activities based on scientific methods gives rise to more accurate and dependable outcomes. Moreover, the adoption of analytics in healthcare will go a long way in achieving the dream of a value-based care. The system focuses on; achieving a streamlined and efficient support staff, providing actionable data that can influence decision making, ensuring faster report generation and distribution, fostering access of data and security protocol as well as building a sustainable information technology infrastructure.

Effects of the Five-levels of Analytical Capability

Through providing a dashboard set of data, the clinical and patient safety is achieved. The data is helpful in fostering faster decision making processes with regard to the conditions of patients. Additionally, clinical and patient safety is achieved through the provision of data access and security protocols. Security protocols ensure that no unauthorized user can gain access to data pertaining to the patients hence curbing any eventualities of malicious conducts (Belle, Thiagarajan, Soroushmehr, Navidi, Beard & Najarian, 2015). Also, the operational activities of the healthcare facility have improved the use of analytics. The system ensures that support staffs are effective through streamlining their activities in the various departments in which they work.

Effects of Descriptive and Predictive Analytics and the Future of Healthcare

The success or failure of big data application in health facilities depends significantly on descriptive and predictive analytics. The descriptive method entails the explanation of past phenomenon using real time as well as historical data. This analysis helps in informing management on how to handle the future. Predictive analytics, on the other hand, affects big data in that it analyses trends in data to inform managers on possible future occurrences. Evidently, healthcare analytics is likely to be adopted by every healthcare institution as it offers an effective scientific based structure of managing the institutions. Additionally, the analytics foster patient privacy by offering data protection hence limiting access to their information to the relevant medical practitioners.

In conclusion, it is important to embrace automation in healthcare systems to achieve evidence-based care. Additionally, it will go a long way in achieving more effective management of the healthcare operations. Moreover, it fosters a more streamlined healthcare system across all the facilities.

References

Belle, A., Thiagarajan, R., Soroushmehr, S. M., Navidi, F., Beard, D. A., & Najarian, K. (2015). Big data analytics in healthcare. BioMed research international, 2015.

Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 3.