7-10% of patients are misidentified when their EMPI and EHR records are being researched. The American Health Information Management Association reports that 8-12% of EHR records are duplicates. Preventable medical errors are the third leading cause of death in the United States, causing an estimated 440,000 deaths per year.
Cleansing inaccurate patient records can be expensive for hospitals. The average cost to resolve a single duplicate medical record is $1,000. If 8% of a hospital’s records are duplicates, the costs to clear their EMPI database and EHR records increase significantly. Predictive analytics can identify and prevent costly and potentially life-threatening medical record errors.
Using NEMESIS, the specialists can quickly capture the duplicate records and missing values through NEMESIS data profiling feature without any coding. Removing or merging the duplicated records can be done by simple drag-and-drop feature. After saving the data cleansing pipeline in the system, the specialists do not need to repeat the cleansing process. They can simply schedule a batch processing to ask NEMESIS to run the same pipeline with the new records.
This case is about the data cleansing of EMPI and EHR data.