Are You Confident In Your Health Data?

Ensuring that all of your healthcare data is Clean, Complete, and Current is paramount to achieving true data confidence, and paves the way for the best performance outcomes.

This is why IMAT Solutions is excited to offer you the opportunity to quantify your overall data confidence with our DCI survey.

The DCI is based on the new IMAT C3 framework, which helps a wide-range of healthcare organizations enhance all care, reporting, financial, and compliance efforts.

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* 1. Please share your contact information.

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* 2. Clean: To what level do you validate record structure to see if it follows a consistent standard with 5 being the highest?

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* 3. Clean: To what level do you validate codes and code descriptions, for example ICD, LOINC, RxNorm, CPT, SNOMED, NDC, etc. with 5 being the highest?

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* 4. Clean: To what level are you able to identify, validate, normalize and standardize patient, provider and payer data in all records with 5 being the highest?

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* 5. Clean: To what level are you able to identify, validate and normalize all clinical elements, segments and sections in records with 5 being the highest?

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* 6. Clean: To what level are you able to you able to move around data elements or correct issues to follow standards with 5 being the highest?

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* 7. Clean: To what level are you able to view and keep track of changes to a record with 5 being the highest?

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* 8. Clean: To what level do you have reporting and alerts to monitor changes to incoming data with 5 being the highest?

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* 9. Clean: To what level do you leverage terminology services to improve the quality of your data with 5 being the highest?

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* 10. Clean: To what level are you able to populate missing elements based on values from other fields with 5 being the highest?

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* 11. Comprehensive: Which record types are you able to identify and process all relevant data from?

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* 12. Comprehensive: To what level are you able to leverage all types of data within a record, such as provider information, social determinants, episodes of care, sensitive data, etc., with 5 being the highest?

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* 13. Comprehensive: Are you able to identify and extract actionable information from text content in records (Yes or No)?

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* 14. Comprehensive: To what level do you use Natural Language Processing technology to identify and codify clinical concepts, identify the subject and perform negation with 5 being the highest?

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* 15. Comprehensive: Can you identify and tag sensitive data according to state and federal standards (Yes or No)?

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* 16. Comprehensive: Is access to sensitive data managed to ensure adherence to state and federal mandates (Yes or No)?

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* 17. Comprehensive: To what level can historical data be validated, standardized, normalized and made available for reports and analytics with 5 being the highest?

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* 18. Comprehensive: Are you able to de-identify all of your data to a HIPAA compliant (Safe Harbor) standard (Yes or No)?

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* 19. Comprehensive: Can you re-identify data in a HIPAA compliant way (Yes or No)?

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* 20. Current: To what level are you able to access all of your data for reporting and quality measures?

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* 21. Current: How much of your data available in a single patient history for reporting and quality measures?

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* 22. Current: How much of your data is available for real-time ad hoc querying and reporting?

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* 23. Current: How much of your data is available to generate alerts and notifications in realtime?

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* 24. Current: How soon after the data is created is it available for reporting, quality measures and/or actionable use?

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* 25. Current: Do you have a continuous integrated toolset and process to keep all data current?

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* 26. Current: How much of your data can be uploaded, accessed, and transformed into multple formats for interoperability purposes?

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* 27. Clean: Are you able to access data through IHE profiles, eHealth Exchange, CommonWell, Carequality and other State/National exchanges?

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* 28. Any other additional insights you would like to share about the overall state of your health data?  Please include your comments in the box below.

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