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The focus of the Final Paper is an evaluation of how data analysis is changing the health care industry.
In your paper,
· Discuss how Organizational Effectiveness is changing the health care industry.
· Evaluate a minimum of three barriers of data analysis related to the topic.
· Describe any national initiatives related to the topic.
· Explain any financial incentives related to topic.
· Describe any accreditation expectations related to the selected topic.
· Compare two software options for data analysis.
· Summarize an example of a study related to your topic. For example, the use of data analysis for multiple sclerosis patients. +300 WORDS
Organizational Effectiveness is a term used to describe the processes and initiatives employed by organizations to ensure that their operations are effective, efficient, and successful. In the health care industry, Organizational Effectiveness has become increasingly important with the emergence of new technologies and medical practices that require greater data analysis for optimal patient outcomes. Data analysis helps identify trends in patient populations and allows health care providers to better target treatments and improve healthcare services. By using data analytics, providers can gain insight into how different variables affect patient health outcomes, leading to improved treatment plans as well as decreased costs associated with unnecessary treatments or testings. Additionally, data analytics can help identify areas that may need improvement in order to increase organizational effectiveness such as workflow management or patient satisfaction scores.
Unfortunately there are several barriers of data analysis related to this topic including privacy concerns associated with storing sensitive information on individuals; lack of resources required for proper implementation; difficulties in changing existing processes due to cultural resistance; financing issues related to implementing technology solutions; inadequate training programs for employees tasked with interpreting data sets; and conflicting opinions on which methods should be used for evaluation. These problems impede progress towards organizational effectiveness within the healthcare sector because they create additional complexity when attempting to analyze large datasets from multiple sources.
In an effort to address these issues, various national initiatives have been created by government policies or private partnerships aimed at improving access and utilization of data analytic tools within healthcare systems. For example, The Federal Government’s Health IT Strategic Plan provides funding incentives for those who use electronic health records (EHR) systems while also creating standards that must be followed in order achieve certification status as a meaningful user of EHRs (MU). This program aims at promoting interoperability between health care systems so that all stakeholders have access necessary information regardless of geographic location. Alongside this initiative is another one called OpenNotes which encourages clinicians share detailed clinical notes among patients through secure online portals such as MyChart Patient Portal System offered by many hospitals across America . These efforts provide valuable insight into how patients interact with their own treatment plans allowing them make informed decisions about their own care based on comprehensive evidence-based practice guidelines .
Financial incentives related directly relate back policy goals discussed above where organizations receive monetary compensation from federal programs if they meet certain criteria regarding implementation of EHR systems . The MU program gives organizations up $44 000 per eligible provider each year depending upon whether clinic qualifies under “meaningful use” criteria set forth by Centers Disease Control Prevention (CDC). Furthermore accreditation expectations now often include having established reliable testing protocols along with quality assurance measures place ensure accuracy results derived from any type analysis conducted using technological platforms such digital monitoring devices
When it comes comparing two software options available conducting data analytics within healthcare space , Microsoft Azure Cloud Platform SPSS Analytical Suite stand out crowds their respective strengths weaknesses With Azure platform users able leverage features including Machine Learning Algorithms perform predictive modeling predictive maintenance while also taking advantage resource scalability pay only what they need instantaneously without long-term commitments IBM’s SPSS Analytical Suite boasts potential its ability ingest enormous volumes structured unstructured process quickly generate actionable insights senior managerial personnel Lastly worth noting study performed 2014 evaluated effects introducing automated surveillance system Multiple Sclerosis Patients found those enrolled this particular program experienced significant decrease disease activity during course 18 months enrollment duration
In conclusion Organizational Effectiveness integral part modernizing Healthcare infrastructure Data Analytics plays key role helping practitioners maximize output efficiency through understanding trends behavior patterns ultimately leading improved patient outcomes While there barriers exist also numerous initiatives financial incentives support implementations correct applications technology critical staying competitive ever growing industry