Information Officer A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      121. How can you manage cost down?

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      122. Are there measurements based on task performance?

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      123. When is Root Cause Analysis Required?

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      124. Does management have the right priorities among projects?

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      125. How will your organization measure success?

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      126. How much did you pay for initial EHR costs?

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      127. What are the costs?

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      128. How frequently do you track Information officer measures?

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      129. Does the Information officer task fit the client’s priorities?

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      130. What causes innovation to fail or succeed in your organization?

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      131. What tests verify requirements?

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      132. Does Information officer analysis show the relationships among important Information officer factors?

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      133. What are the key input variables? What are the key process variables? What are the key output variables?

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      134. What are the costs and benefits?

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      135. How do you measure variability?

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      Add up total points for this section: _____ = Total points for this section

      Divided by: ______ (number of statements answered) = ______ Average score for this section

      Transfer your score to the Information officer Index at the beginning of the Self-Assessment.

      CRITERION #4: ANALYZE:

      INTENT: Analyze causes, assumptions and hypotheses.

      In my belief, the answer to this question is clearly defined:

      5 Strongly Agree

      4 Agree

      3 Neutral

      2 Disagree

      1 Strongly Disagree

      1. What is the Information officer Driver?

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      2. Who qualifies to gain access to data?

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      3. How often will data be collected for measures?

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      4. What Information officer data do you gather or use now?

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      5. Think about the functions involved in your Information officer project, what processes flow from these functions?

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      6. Do quality systems drive continuous improvement?

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      7. Which digital data is the most important to the enterprises future?

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      8. How does a Chief Data Officer differ from a Chief Information Officer?

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      9. What conclusions were drawn from the team’s data collection and analysis? How did the team reach these conclusions?

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      10. Is the final output clearly identified?

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      11. What is your organizations process which leads to recognition of value generation?

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