The purpose of this document is to validate the clinical accuracy of the TIMMY3 thermometry module, integrated into host device CVSM, according to ISO 80601-2-56:2017 + A1 2018.
The purpose of this document is to validate the clinical accuracy of the TIMMY3 thermometry module, integrated into host device CVSM, according to 80601-2-56:2017 + A1 2018. This study is designed to provide supporting documentation for the TIMMY3 module operating with SureTemp Plus algorithms. Testing will be performed with a production equivalent CVSM modified to use TIMMY3 (TIMMY3 investigational device), running the SureTemp Plus algorithms. The TIMMY3 module is intended to be integrated into additional Welch Allyn devices such as, but not limited to, the Connex Spot Monitor and Spot 4400. The process described below will be followed in accordance with the method called out in ISO 80601-2-56:2017 + A1:2018.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
373
Connex Vital Signs Monitor with the Timmy3 Investigational module
First Georgia Physicians Group
Fayetteville, Georgia, United States
Mankato Clinic
Mankato, Minnesota, United States
John R. Oishei Children's Hospital
Buffalo, New York, United States
Medical University of South Carolina
Charleston, South Carolina, United States
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group >=5 Years - Clinical Bias
Clinical bias is the mean difference between the first device under test (DUT) output temperature (T1) and the corresponding reference clinical thermometer (TRCT) within the ISO-compliant analysis set and age group, calculated per ISO 80601-2-56:2017 + A1:2018 (refer to ISO formula \[2\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group <1 Year - Clinical Bias
Clinical bias is the mean difference between the first device under test (DUT) output temperature (T1) and the corresponding reference clinical thermometer (TRCT) within the ISO-compliant analysis set and age group, calculated per ISO 80601-2-56:2017 + A1:2018 (refer to ISO formula \[2\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group <3 Months - Clinical Bias
Clinical bias is the mean difference between the first device under test (DUT) output temperature (T1) and the corresponding reference clinical thermometer (TRCT) within the ISO-compliant analysis set and age group, calculated per ISO 80601-2-56:2017 + A1:2018 (refer to ISO formula \[2\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group 3 Months to <1 Year - Clinical Bias
Clinical bias is the mean difference between the first device under test (DUT) output temperature (T1) and the corresponding reference clinical thermometer (TRCT) within the ISO-compliant analysis set and age group, calculated per ISO 80601-2-56:2017 + A1:2018 (refer to ISO formula \[2\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group 1 Year to <5 Years - Clinical Bias
Clinical bias is the mean difference between the first device under test (DUT) output temperature (T1) and the corresponding reference clinical thermometer (TRCT) within the ISO-compliant analysis set and age group, calculated per ISO 80601-2-56:2017 + A1:2018 (refer to ISO formula \[2\]).
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Forest Lane Pediatrics
Dallas, Texas, United States
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group 5 Years to <18 Years - Clinical Bias
Clinical bias is the mean difference between the first device under test (DUT) output temperature (T1) and the corresponding reference clinical thermometer (TRCT) within the ISO-compliant analysis set and age group, calculated per ISO 80601-2-56:2017 + A1:2018 (refer to ISO formula \[2\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group >=18 Years - Clinical Bias
Clinical bias is the mean difference between the first device under test (DUT) output temperature (T1) and the corresponding reference clinical thermometer (TRCT) within the ISO-compliant analysis set and age group, calculated per ISO 80601-2-56:2017 + A1:2018 (refer to ISO formula \[2\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group >=5 Years - Limits of Agreement
Limits of Agreement represent the magnitude of potential disagreement between outputs of two thermometers and are defined as 2 × the standard deviation (SD) of the temperature differences (T1 - TRCT) within the ISO-compliant analysis set and age group, as specified in ISO 80601-2-56:2017 + A1:2018 (refer to ISO formulas \[3\] and \[4\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group <1 Year - Limits of Agreement
Limits of Agreement represent the magnitude of potential disagreement between outputs of two thermometers and are defined as 2 × the standard deviation (SD) of the temperature differences (T1 - TRCT) within the ISO-compliant analysis set and age group, as specified in ISO 80601-2-56:2017 + A1:2018 (refer to ISO formulas \[3\] and \[4\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group <3 Months - Limits of Agreement
Limits of Agreement represent the magnitude of potential disagreement between outputs of two thermometers and are defined as 2 × the standard deviation (SD) of the temperature differences (T1 - TRCT) within the ISO-compliant analysis set and age group, as specified in ISO 80601-2-56:2017 + A1:2018 (refer to ISO formulas \[3\] and \[4\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group 3 Months to <1 Year - Limits of Agreement
Limits of Agreement represent the magnitude of potential disagreement between outputs of two thermometers and are defined as 2 × the standard deviation (SD) of the temperature differences (T1 - TRCT) within the ISO-compliant analysis set and age group, as specified in ISO 80601-2-56:2017 + A1:2018 (refer to ISO formulas \[3\] and \[4\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group 1 Year to <5 Years - Limits of Agreement
Limits of Agreement represent the magnitude of potential disagreement between outputs of two thermometers and are defined as 2 × the standard deviation (SD) of the temperature differences (T1 - TRCT) within the ISO-compliant analysis set and age group, as specified in ISO 80601-2-56:2017 + A1:2018 (refer to ISO formulas \[3\] and \[4\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group 5 Years to <18 Years - Limits of Agreement
Limits of Agreement represent the magnitude of potential disagreement between outputs of two thermometers and are defined as 2 × the standard deviation (SD) of the temperature differences (T1 - TRCT) within the ISO-compliant analysis set and age group, as specified in ISO 80601-2-56:2017 + A1:2018 (refer to ISO formulas \[3\] and \[4\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm for Age Group >=18 Years - Limits of Agreement
Limits of Agreement represent the magnitude of potential disagreement between outputs of two thermometers and are defined as 2 × the standard deviation (SD) of the temperature differences (T1 - TRCT) within the ISO-compliant analysis set and age group, as specified in ISO 80601-2-56:2017 + A1:2018 (refer to ISO formulas \[3\] and \[4\]).
Time frame: 20-30 minutes
Validate the Clinical Accuracy of the Timmy3 Thermometer Algorithm - Clinical Repeatability
Clinical repeatability is defined per ISO 80601-2-56:2017 + A1:2018 as the pooled within-subject standard deviation (SD) of triplicate device-under-test output temperatures for each anatomical site (refer to ISO formulas \[5\] and \[6\]). This outcome reports that SD as a single numeric value (°C); because it is a dispersion statistic (not a mean), no central-tendency measure applies. Higher SD indicates lower repeatability.
Time frame: 20-30 minutes