Literature DB >> 26262349

Development of Unified Lab Test Result Master for Multiple Facilities.

Naoto Kume1, Kenji Suzuki2, Shinji Kobayashi1, Kenji Araki3, Hiroyuki Yoshihara3.   

Abstract

A clinical study requires massive amounts of of lab test data, especially for rare diseases. Before creating a protocol, the hypothesis if the protocol will work with enough amount of patients' dataset has to be proved. However, a single facility, such as a university hospital, often faces a lack of number of patients for specific target diseases. Even if collecting datasets from several facilities, there is no active master table that can merge lab test results between the facility datasets. Therefore, the authors develop a unified lab test result master. Because test master standards such as JLAC10 and LOINC are provided from a viewpoint of academic classification of laboratory medicine, the classification does not fit clinical classification, which doctors understand with a mind-set of establishing a clinical study protocol. The authors establish a method to unify masters using an active lab test result master from two university hospitals.

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Year:  2015        PMID: 26262349

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  Report on the Project for Establishment of the Standardized Korean Laboratory Terminology Database, 2015.

Authors:  Bo Kyeung Jung; Jeeyong Kim; Chi Hyun Cho; Ju Yeon Kim; Myung Hyun Nam; Bong Kyung Shin; Eun Youn Rho; Sollip Kim; Heungsup Sung; Shinyoung Kim; Chang Seok Ki; Min Jung Park; Kap No Lee; Soo Young Yoon
Journal:  J Korean Med Sci       Date:  2017-04       Impact factor: 2.153

2.  An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance.

Authors:  Amie J Barda; Victor M Ruiz; Tony Gigliotti; Fuchiang Rich Tsui
Journal:  JAMIA Open       Date:  2019-02-04

3.  J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan.

Authors:  Naoki Nakagawa; Tadashi Sofue; Eiichiro Kanda; Hajime Nagasu; Kunihiro Matsushita; Masaomi Nangaku; Shoichi Maruyama; Takashi Wada; Yoshio Terada; Kunihiro Yamagata; Ichiei Narita; Motoko Yanagita; Hitoshi Sugiyama; Takashi Shigematsu; Takafumi Ito; Kouichi Tamura; Yoshitaka Isaka; Hirokazu Okada; Kazuhiko Tsuruya; Hitoshi Yokoyama; Naoki Nakashima; Hiromi Kataoka; Kazuhiko Ohe; Mihoko Okada; Naoki Kashihara
Journal:  Sci Rep       Date:  2020-04-30       Impact factor: 4.379

4.  Kidney Outcomes Associated With SGLT2 Inhibitors Versus Other Glucose-Lowering Drugs in Real-world Clinical Practice: The Japan Chronic Kidney Disease Database.

Authors:  Hajime Nagasu; Yuichiro Yano; Hiroshi Kanegae; Hiddo J L Heerspink; Masaomi Nangaku; Yosuke Hirakawa; Yuka Sugawara; Naoki Nakagawa; Yuji Tani; Jun Wada; Hitoshi Sugiyama; Kazuhiko Tsuruya; Toshiaki Nakano; Shoichi Maruyama; Takashi Wada; Kunihiro Yamagata; Ichiei Narita; Kouichi Tamura; Motoko Yanagita; Yoshio Terada; Takashi Shigematsu; Tadashi Sofue; Takafumi Ito; Hirokazu Okada; Naoki Nakashima; Hiromi Kataoka; Kazuhiko Ohe; Mihoko Okada; Seiji Itano; Akira Nishiyama; Eiichiro Kanda; Kohjiro Ueki; Naoki Kashihara
Journal:  Diabetes Care       Date:  2021-09-30       Impact factor: 19.112

  4 in total

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