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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Recognizing unstructured EMR

Recognizing unstructured EMR

Al Sheref, Fahad
Abdulgaber, Sayed
Bushnaq, Hussien

Paperback

General Computers

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ISBN10: 6202511834
ISBN13: 9786202511834
Publisher: Lap Lambert Academic Pub
Published: Mar 15 2020
Pages: 128
Weight: 0.44
Height: 0.30 Width: 6.00 Depth: 9.00
Language: English
Computer systems and communication technologies made a strong and influential presence in the different fields of medicine. The cornerstone of a functional medical information system is the Electronic Health Records (EHR) management system. EHR implementation and adoption face different barriers that slow down its deployment in different organizations. This research focuses on resolving the most public barriers, which are data entry, unstructured clinical data modifying the physician work flow. This research proposed a solution, which use Text mining and Natural language processing techniques. This solution tested and verified in four real-world clinical organizations. The suggested solution proved correcteness and perciseness with 91.88%.

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