Project #28086 - umls

Module 3: Threaded Discussions- Data quality

 

When there are mistakes in data entering, it translates into problems in patient care, reimbursement, and research. The problem of poor data crosses departments and organizations, filtering into decisions that are made based on the data.

 

 

 

  1. What are some examples (real or fictitious) of data entry issues that could compromise data quality.
  2. What implications are there compromised data
  3. Discuss what can be done to mitigate mistakes associated with entering data?

 

Module 4: UMLS

 

In 1986, the National Library of Medicine (NLM) began a long term research and development project to build a Unified Medical Language System (UMLS).

 

  1. What is the purpose of the system?
  2. Explain provide examples of how and where UMLS is implemented today.
  3. What are some current and future implications you see UMLS having on health care applications?

 

 

 

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Due By (Pacific Time) 5/1/2014
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