🏠
📞  +353 1 6643768
 
📧  info@medaval.ie
Bionime Rightest GM300
Device Model:
GM300
Manufacturer:
Bionime Corporation, No 100 - Sec. 2, Daqing Street, South District, Taichung City 40242, TAIWAN ROC.
Measuring functions:
Blood glucose
Primary Client Use:
Intended for both professional use and self-measurement
Measurement Site:
Finger and general Alternative Site Testing
Measurement Occurrence:
Single measurements only
Availability:
Available Currently
Availability according to Countries or Regions:
United States
Device Manual:
Description:
The Bionime Rightest GM300 is an automatic blood glucose meter. Its blood glucose measurement technology has been proven to be accurate, with a 3-star Medaval rating. Measurements are normally taken from the finger but alternative site testing is allowed and it is intended for both professional use and self-measurement.
Assessment:
The technology used in the Bionime Rightest GM300, to measure blood glucose, is among the best rated for accuracy by Medaval Ltd. It has passed in two clinical validation studies, between general and specific populations, according to recognised standard protocols, as published in peer-reviewed publications.
Recommendations:
Accuracy AssessmentRecommendationBasis
Medaval ★★★ Recommendation Recent clinical validation; recent protocol; multiple clinical validations
TÜV Rheinland Nederland General use Unpublished internal data
Institute of Health Economics (CA) General use No evidence provided
MDR Criteria Self-measurement and professional use Published evidence
Validation Publications:

Freckmann G, Baumstark A, Jendrike N, Zschornack E, Kocher S, Tshiananga J, Heister F, Haug C. System accuracy evaluation of 27 blood glucose monitoring systems according to DIN EN ISO 15197. Diabetes Technol Ther. 2010 Mar;12(3):221-31. doi: 10.1089/dia.2009.0128. PMID: 20151773.

15197:2003 - Pass General population

Yu-Fei W, Wei-Ping J, Ming-Hsun W, Miao-O C, Ming-Chang H, Chi-Pin W, Ming-Shih L. Accuracy Evaluation of 19 Blood Glucose Monitoring Systems Manufactured in the Asia-Pacific Region: A Multicenter Study. J Diabetes Sci Technol. 2017 Sep;11(5):953-65. Epub: 2017 May 8. doi: 10.1177/1932296817705143. PMID: 28480733. Available from: PMC5950995.

15197:2013 - Pass General population

15197:2003 - Pass General population