EXPLAIN WHY THE TWO SPECIFIC TYPES OF CLINICAL AND FINANCIAL DATA YOU SELECTED AS YOUR BIG DATA DATASET WOULD BEST

• Using the health care information systems standards for clinical and financial data discussed in Week 6 (Chapter 10 of Health Care Information Systems: A Practical Approach for Health Care Management), identify specific types of data (data sets, standards, examples of those data) that can be redeveloped into Big Data tools and used to address the management of population health initiatives.
• Define a “Big Data” analysis dataset to include in a data warehouse by identifying two specific types of clinical and financial data from the Chronic Condition Triads: Prevalence and Medicare Spending dataset in your Learning Resources that you feel could be used to drive behavior change in the patient and provider populations. This Big Data dataset will become the focus of your Discussion.

By Day 3

Wager, K. A., Lee, F. W., & Glaser, J. P. (2013). Health care information systems: A practical approach for health care management (3rd ed.). San Francisco, CA: Jossey-Bass.

• Chapter 2, “Health care Data Quality” (pp. 49–65)

Reddy, C. K., & Aggerwal, C. C. (2015). Healthcare data analytics. Boca Raton, FL: CRC Press.

• Chapter 4, “Mining of Sensor Data in Healthcare: A Survey” (pp. 91–126)
• Chapter 7, “Natural Language Processing and Data Mining for Clinical Text” (pp. 219–250)
• Chapter 10, “A Review of Clinical Prediction Models” (pp. 343–378)

Amarasingham, R., Patzer, R. E., Huesch, M., Nguyen, N. Q., & Xie, B. (2014). Implementing electronic health care predictive analytics: Considerations and challenges. Health Affairs, 33(7), 1148–1154.

Note: Retrieved from the Walden Library databases.

Barclay, G., Sabina, A., & Graham, G. (2014). Population health and technology: Placing people first. American Journal of Public Health, 104(12), 2246–2247.

Note: Retrieved from the Walden Library databases.

Block, D. J. (2014). Is your system ready for population health management? Physician Executive, 40(2), 20–22, 24.

Note: Retrieved from the Walden Library databases.

Coffin, J., Duffie, C., & Furno, M. (2014). The patient-centered medical home and meaningful use: A challenge for better care. The Journal of Medical Practice Management: MPM, 29(5), 331–334.

Note: Retrieved from the Walden Library databases.

Foldy, S., Grannis, S., Ross, D., & Smith, T. (2014). A ride in the time machine: Information management capabilities health departments will need. American Journal of Public Health, 104(9), 1592–1600.

Note: Retrieved from the Walden Library databases.

Fry, D. E., Pine, M., Locke, D., & Pine, G. (2015). Prediction models of Medicare 90-day post discharge deaths, readmissions, and costs in bowel operations. The American Journal of Surgery, 209(3), 509–514.

Note: Retrieved from the Walden Library databases.