Abstract
Manual mapping of laboratory data to Logical Observation Identifiers Names and Codes (LOINC) requires a major effort. Application of the LOINC mapping assistant RELMA V.6.6 can reduce the effort required for mapping. The goal of the paper s to study the potential of semi-automated mapping of Russian laboratory terms to LOINC. We performed semi-automated mapping of the 2563 terms from two clinics in Russia. The first step was automatic mapping using RELMA V.6.6 and LOINC V.2.48 Russian translation by Yaroslavl state medical academy. The second step was a manual expert mapping. To evaluate the correctness of mapping we randomly selected 50 of the most commonly (from the first 20 %) and 50 of the most rarely (from the last 20 %) used terms from each clinic (in total 200 terms from each clinic). This sample of 200 terms was reviewed by two experts. The paper presents the results of semiautomatic mapping of Russian laboratory terms to LOINC. Two clinics (A and B) and a laboratory service participated in the project. We were able to map 86 % (Clinic A) and 87 % (Clinic B) of laboratory terms and 99 % of terms used in 2014. In total 2372 out of 2563 were mapped. The required effort was reasonable and the price of mapping and maintenance was considered as relatively low in comparison to manual methods. RELMA V.6.6 and LOINC V.2.48 offer the opportunity of a low effort LOINC mapping even for non-English languages. The study proved that the mapping effort is acceptable and mapping results are on the same level as the manual mapping.
| Original language | English |
|---|---|
| Title of host publication | Communications in Computer and Information Science |
| Publisher | Springer Verlag |
| Pages | 37-44 |
| Number of pages | 8 |
| Volume | 538 |
| ISBN (Print) | 9783319247694 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 21st International Conference on Information and Software Technologies, ICIST 2015 - Druskininkai, Lithuania Duration: 15 Oct 2015 → 16 Oct 2015 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 538 |
| ISSN (Print) | 18650929 |
Other
| Other | 21st International Conference on Information and Software Technologies, ICIST 2015 |
|---|---|
| Country | Lithuania |
| City | Druskininkai |
| Period | 15.10.15 → 16.10.15 |
Keywords
- Hospital information system
- Laboratory information system
- LOINC
- Mapping
ASJC Scopus subject areas
- Computer Science(all)
Cite this
Using semi-automated approach for mapping local russian laboratory terms to loinc. / Kopanitsa, Georgy; Taranik, Maxim.
Communications in Computer and Information Science. Vol. 538 Springer Verlag, 2015. p. 37-44 (Communications in Computer and Information Science; Vol. 538).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Using semi-automated approach for mapping local russian laboratory terms to loinc
AU - Kopanitsa, Georgy
AU - Taranik, Maxim
PY - 2015
Y1 - 2015
N2 - Manual mapping of laboratory data to Logical Observation Identifiers Names and Codes (LOINC) requires a major effort. Application of the LOINC mapping assistant RELMA V.6.6 can reduce the effort required for mapping. The goal of the paper s to study the potential of semi-automated mapping of Russian laboratory terms to LOINC. We performed semi-automated mapping of the 2563 terms from two clinics in Russia. The first step was automatic mapping using RELMA V.6.6 and LOINC V.2.48 Russian translation by Yaroslavl state medical academy. The second step was a manual expert mapping. To evaluate the correctness of mapping we randomly selected 50 of the most commonly (from the first 20 %) and 50 of the most rarely (from the last 20 %) used terms from each clinic (in total 200 terms from each clinic). This sample of 200 terms was reviewed by two experts. The paper presents the results of semiautomatic mapping of Russian laboratory terms to LOINC. Two clinics (A and B) and a laboratory service participated in the project. We were able to map 86 % (Clinic A) and 87 % (Clinic B) of laboratory terms and 99 % of terms used in 2014. In total 2372 out of 2563 were mapped. The required effort was reasonable and the price of mapping and maintenance was considered as relatively low in comparison to manual methods. RELMA V.6.6 and LOINC V.2.48 offer the opportunity of a low effort LOINC mapping even for non-English languages. The study proved that the mapping effort is acceptable and mapping results are on the same level as the manual mapping.
AB - Manual mapping of laboratory data to Logical Observation Identifiers Names and Codes (LOINC) requires a major effort. Application of the LOINC mapping assistant RELMA V.6.6 can reduce the effort required for mapping. The goal of the paper s to study the potential of semi-automated mapping of Russian laboratory terms to LOINC. We performed semi-automated mapping of the 2563 terms from two clinics in Russia. The first step was automatic mapping using RELMA V.6.6 and LOINC V.2.48 Russian translation by Yaroslavl state medical academy. The second step was a manual expert mapping. To evaluate the correctness of mapping we randomly selected 50 of the most commonly (from the first 20 %) and 50 of the most rarely (from the last 20 %) used terms from each clinic (in total 200 terms from each clinic). This sample of 200 terms was reviewed by two experts. The paper presents the results of semiautomatic mapping of Russian laboratory terms to LOINC. Two clinics (A and B) and a laboratory service participated in the project. We were able to map 86 % (Clinic A) and 87 % (Clinic B) of laboratory terms and 99 % of terms used in 2014. In total 2372 out of 2563 were mapped. The required effort was reasonable and the price of mapping and maintenance was considered as relatively low in comparison to manual methods. RELMA V.6.6 and LOINC V.2.48 offer the opportunity of a low effort LOINC mapping even for non-English languages. The study proved that the mapping effort is acceptable and mapping results are on the same level as the manual mapping.
KW - Hospital information system
KW - Laboratory information system
KW - LOINC
KW - Mapping
UR - http://www.scopus.com/inward/record.url?scp=84951847446&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951847446&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-24770-0_4
DO - 10.1007/978-3-319-24770-0_4
M3 - Conference contribution
AN - SCOPUS:84951847446
SN - 9783319247694
VL - 538
T3 - Communications in Computer and Information Science
SP - 37
EP - 44
BT - Communications in Computer and Information Science
PB - Springer Verlag
ER -