In the health information system they are many sources of data in external source the data is from payers and research organization, web source of data, monitors and mobile devices and sensors etc, the external soruce pf data is from the clinical data base like electronic health records and electronic medical records and quality management system etc,the data and information are used to support measure and assess structure, process and outcomes, the structure includes the health informatics, health information system and secure internet enabled technology are essential new conduits of communication and information sharing , and the process is seen in the patient provider interactions and ancillary clinical and administrative activities , the provider patient interactions through the electronic health records and patient engegement connectivity and health information system and technology enabled capabilities and the interaction between clinicians and the systems influence the content and timelines and quality of patient care, outcomes: the use of the data is for analytic capabilities in the practice of health informatics allows for retrospectives analysis of data and also predicitive analytics , and the disease specific statistics , and the health status and patient satisfaction and cost resulted into the quality analysis and reporting.the health informatics involvess process improvements, workflow redesign and outcome analysis and these constitue in the discipline and impact of informatics.these shows that the internal and external sources of data is used for analytics and outcome analysis.
Describe internal and external sources of data for analytics and outcomes analysis.
Describe the purpose of vertical analysis and how it is applied. Describe how internal and external users would approach financial analysis differently. What would their goals be?
Define cognitive analytics. Determine 3 different business scenarios where an exploratory data analysis using cognitive analytics might be helpful. Using the different scenarios, determine internal data that might be useful in better understanding the relationship between the company and customers
Marketing Intelligence is an essential component of gathering internal and external marketing related data, statistics, and information. In a sense, marketing intelligence is the corner stone of effective marketing practices and strategy. Please address what a Marketing Intelligence System is, how it is utilized, why it is important, and what the internal and external sources of marketing intelligence may be.
chapter 9 Required: 13.Data analytics can be disaggregated into two parts: ETL (extract, transform, and load) or analysis. Classify each of the following processes as either ETL or analysis. Process ETL/Analysis a. Removal of extraneous data and noise ETL b. Looking for trends in the data that might predict new sales opportunities c. Finding the necessary data from the financial reporting system to give to the external auditor for analysis d. Performance of a test of internal controls by the...
Describe the internal and external forces that drives SKU commonality.
Describe how statistics and graphical representation of data are used in data analytics in order to make decisions about health care.
Explain internal and external evidence. Analyze if the combination of internal and external evidence benefits the patient. Describe an example from your practice.
list and describe two (2) methods of internal and external recruiting: Internal Recruiting Type answer here Type answer here External Recruiting Type answer here Type answer here
Advantages of using Internal Audit Data Analytics includes all but which of the following? A. Continuous auditing B. UtilizationofCloudComputing C. Increasedefficiency D. Ability to test 100% of the population
.Which of the following best describes the data analytics skill of data analysis through data manipulation? demonstrate the ability to sort, rearrange, merge, and reconfigure data in a manner that allows enhanced analysis comprehend the process needed to clean and prepare the data before analysis perform basic analysis to understand the quality of the underlying data and its ability to address the business question recognize what is meant by data quality, be it completeness, reliability or validity