From the January 2017 issue of HealthCare Business News magazine
Perform queries to identify any attribute value outliers. For example, if the patient ID should always be seven numbers, look for any records with a patient ID value containing a non-numeric value, or of a different length. Define and publish an imaging record quality policy. Basing this policy on how your EMR manages patient information, and guidance from IHE on how to map patient and procedure values to DICOM attributes, is highly recommended. Use the policy to measure the consistency and completeness of all new and historic imaging records.
When identifying the shared enterprise imaging system (PACS or VNA), assess its ability to manage multi-facility and multi-patient ID domain data. Look for tools to allow users at each facility to perform data quality corrections on their own data (without affecting data from other facilities). Also, look for tools to automatically detect, and potentially correct, records that do not comply with your organization’s imaging record quality policy. Make any patient-level information changes at the EMR level and use proven methods (for example, an ADT patient merge message from the EMR to the imaging IT system) to propagate and apply the change to the imaging record.
About the author: Don Dennison is an imaging IT industry consultant who serves on SIIM’s board of directors as well as its Program, Hackathon and eCommunity committees, and chairs the ACR Connect and Informatics Industry Activities committees. He is a frequent speaker and panelist on topics such as medical imaging record interoperability and integration of imaging data within the EMR. He has published numerous articles on imaging informatics.Back to HCB News
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