Development of an HL7 interface engine, based on tree structure and streaming algorithm, for large-size messages which include image data.
A basic assumption of Health Level Seven (HL7) protocol is 'No limitation of message length'. However, most existing commercial HL7 interface engines do limit message length because they use the string array method, which is run in the main memory for the HL7 message parsing process. Specifically, messages with image and multi-media data create a long string array and thus cause the computer system to raise critical and fatal problem. Consequently, HL7 messages cannot handle the image and multi-media data necessary in modern medical records. This study aims to solve this problem with the 'streaming algorithm' method. This new method for HL7 message parsing applies the character-stream object which process character by character between the main memory and hard disk device with the consequence that the processing load on main memory could be alleviated. The main functions of this new engine are generating, parsing, validating, browsing, sending, and receiving HL7 messages. Also, the engine can parse and generate XML-formatted HL7 messages. This new HL7 engine successfully exchanged HL7 messages with 10 megabyte size images and discharge summary information between two university hospitals.
Um
Ki Sung
KS
Center of Bioinformatics, National Cancer Institute, Notional Institute of Health, 6116 Executive Blvd. Suite 403, Rockville, MD 20852, USA. umkis@mail.nih.gov
Kwak
Yun Sik
YS
Cho
Hune
H
Kim
Il Kon
IK
D000465:Algorithms; D006739:Hospital Administration; D010351:Patient Discharge; D011381:Programming Languages; D014584:User-Computer Interface