6, 7, 8 Meeting this demand is problematic because advanced data analytics skills take years to develop, and working professionals with these skills have a high attrition rate. 5Ĭlearly, our nation has a shortage of data scientists. 4 An AHIMA research study indicated that academics and industry representatives perceive a lack of talent available for data analytics jobs. 3 In fact, the American Health Information Management Association (AHIMA) 2018 career map lists job titles for data analytics that include quality manager, mapping specialist, data integrity specialist, population health analyst, data analyst, and vice president of data management and analytics. By 2018, the projected demand for data scientists could exceed the supply by 50 to 60 percent, and 1.5 million more managers would be needed to apply the analysis results effectively. 2 However, the analysis of big data requires talented data scientists. A McKinsey Global institute study estimated that effective use of big data analytics could decrease national healthcare expenditures by approximately 8 percent annually. Analyzing healthcare data could provide financial benefits. 1 Data stores gather data from quality management measurements, the provision of connected healthcare, and population healthcare research. Data are generated in Centers for Medicare and Medicaid Services (CMS) value-based purchasing reports and in the ubiquitous use of electronic health records, smart sensors, and mobile devices. Healthcare decision making is a data-intensive process. Future research directions are discussed. The paper presents numerous resources that provide guidance for building knowledge. It informs academics working to reengineer their curriculum to focus on big data analytics. This information is valuable for healthcare organizations, academics, and industry leaders who collaborate to implement the necessary infrastructure for content delivery and for experiential learning. Results provide practical data on big data tool and technology skills utilized in the workplace. For this study, data were collected through a national survey of healthcare managers. This survey study explores big data tool and technology usage, examines the gap between the supply and the demand for data scientists through Diffusion of Innovations theory, proposes engaging academics to accelerate knowledge diffusion, and recommends adoption of curriculum-building models. The shortage of data scientists has restricted the implementation of big data analytics in healthcare facilities.
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