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Blood Lead Screening: A Case Study

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4 Blood Lead The claims dataset would be a fruitful dataset to acquire information about health services. Firstly, Dr. Gretta Über-Sharpe would be able to extract the Claim Dates. This information would be good for summarizing the days that individuals are going for getting health services. She could ask analysis questions such as when the onset of these visits begin, or if the visits are clustered by specific dates. Then, she could look at the Claim ID and determine how many claims the individuals are utilizing. She could analyze both the Claim ID column and the Claim Date to answer questions such as what were the average amount of claims per day. She would be able to analyze the procedure column and determine the details of the services being provided. This information could be used to profile the types of services that the desired population is utilizing. For example, she could further stratify among the people who have received blood lead screenings what kind of service they are getting, compare that to the non-blood screening population. When you combine the service with the diagnosis and label name codes, you can create a more complete picture …show more content…

For EHRs, at the individual organization level, they can improve data quality at the point of entry. For example, EHRs can be designed to guide the user on what information is required to be filled out before being sent off to the relevant registry. This prevents incomplete information, and therefore contributes to an overall volume of higher quality records. The EHR can also be designed to perform validation checks on the entered information. For example, if a user is filling out information for the birth registry, the EHR can check to see if the user inputted an impossible date (i.e. a date in the future) and flag the entry to that the information must be changed before

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