| Title |
Enhancement of CLAIM (CLinical Accounting InforMation) for a Localized Chinese Version
|
|---|---|
| Published in |
Journal of Medical Systems, October 2005
|
| DOI | 10.1007/s10916-005-6103-7 |
| Pubmed ID | |
| Authors |
Jinqiu Guo, Akira Takada, Tie Niu, Miao He, Koji Tanaka, Junzo Sato, Muneou Suzuki, Kiwamu Takahashi, Hiroyuki Daimon, Toshiaki Suzuki, Yusei Nakashima, Kenji Araki, Hiroyuki Yoshihara |
| Abstract |
CLinical Accounting InforMation (CLAIM) is a standard for the exchange of data between patient accounting systems and electronic medical record (EMR) systems. It uses eXtensible Markup Language (XML) as a meta-language and was developed in Japan. CLAIM is subordinate to the Medical Markup Language (MML) standard, which allows the exchange of medical data between different medical institutions. It has inherited the basic structure of MML 2.x and the current version, version 2.1, contains two modules and nine data definition tables. In China, no data exchange standard yet exists that links EMR systems to accounting systems. Taking advantage of CLAIM's flexibility, we created a localized Chinese version based on CLAIM 2.1. Since Chinese receipt systems differ from those of Japan, some information such as prescription formats, etc. are also different from those in Japan. Two CLAIM modules were re-engineered and six data definition tables were either added or redefined. The Chinese version of CLAIM takes local needs into account, and consequently it is now possible to transfer data between the patient accounting systems and EMR systems of Chinese medical institutions effectively. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 24% |
| Researcher | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Business, Management and Accounting | 2 | 12% |
| Economics, Econometrics and Finance | 2 | 12% |
| Computer Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2023.
All research outputs
#7,730,207
of 23,505,064 outputs
Outputs from Journal of Medical Systems
#288
of 1,184 outputs
Outputs of similar age
#20,922
of 59,932 outputs
Outputs of similar age from Journal of Medical Systems
#1
of 2 outputs
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