Method and arrangement for determining a quality rating data for a medical data acquisition system
A method for determining a quality rating data (QRD) of a medical data acquisition system (MDAS) includes receiving first data which includes utilization errors by an MDAS that occurred while performing a data acquisition procedure (DAP), by a data acquisition component of the MDAS, to acquire medical data. The method also includes generating second data as a function of the first data, the second data being indicative of categories of the utilization errors, wherein at least one utilization error is assigned to a corresponding category based on a predetermined parameter. The method further includes determining the quality rating data as a function of a total number of MDAS utilizations, a corresponding coefficient for the corresponding utilization error category and a number of utilization errors in the corresponding error category.
1. A method for determining a quality rating data (QRD) of a medical data acquisition system (MDAS), comprising:
receiving first data which includes utilization errors by the MDAS that occurred while performing a data acquisition procedure (DAP) to acquire medical data by a data acquisition component of the MDAS;
generating second data based on a function of the first data, the second data being indicative of categories of the utilization errors, wherein at least one utilization error is assigned to a corresponding category of the categories of the utilization errors based on a predetermined parameter;
determining the quality rating data based on a function of a total number of MDAS utilizations, a corresponding coefficient for the corresponding category of the categories of the utilization errors and a number of utilization errors in the corresponding category of the categories of the utilization errors; and
determining a corresponding action based on a function of the QRD.
2. The method of claim 1 , wherein the quality rating data (QRD) is determined according to the following:
Q
R
D
=
N
∑
n
=
1
k
F
n
L
n
+
F
n
+
1
L
n
+
1
+
…
+
F
k
L
k
wherein N is the total number of the MDAS utilizations; Fn is the coefficient corresponding to the utilization error categories, Ln is a number of utilization errors in the error category, and k is a total number of the utilization error categories.
3. The method of claim 1 , wherein the MDAS includes one of a magnetic resonance imagining device, a computed tomography device, an ultrasound device, an X-ray device, and a nuclear magnetic resonance device.
4. The method of claim 1 , wherein the utilization error categories includes at least one of:
a category L1, which contains fatal utilization errors;
a category L2, which contains major utilization errors;
a category L3, which contains recoverable utilization; and a category L4, which contains minor utilization errors.
5. The method of claim 1 , wherein a corresponding coefficient of F1 is 0.5, a corresponding coefficient of F2 is 0.35, a corresponding coefficient of F3 is 0.01, and a corresponding coefficient of F4 is 0.006.
6. The method of claim 1 , wherein the first data further includes at least one of a serial reference number of the data acquisition component 230 or the MDAS, a time/date stamp of the utilization error that occurred during the data acquisition procedure, an identification number of a technician who performed the data acquisition procedure using the MDAS, and environmental data of the data acquisition component during the data acquisition procedure at a time/date of the utilization error.
7. The method of claim 1 , wherein the corresponding action includes at least one of:
transmitting instructions to the MDAS;
remotely shutting down the data acquisition component;
issuing a maintenance recommendation;
rebooting the MDAS;
scheduling a maintenance;
recommending a replacement of the data acquisition component;
running a diagnostic test on the data acquisition component; and
adjusting components of the data acquisition component.
8. The method of claim 1 , wherein the receiving further includes utilizing a data mining process to retrieve the first data.
9. The method of claim 1 , wherein the corresponding coefficient includes being determined by utilizing a neural network type computational model.
10. A system for determining a quality rating data (QRD) of a medical data acquisition system (MDAS), comprising:
a memory configured to receive first data which includes utilization errors by the MDAS that occurred while performing a data acquisition procedure (DAP) to acquire medical data by a data acquisition component of the MDAS;
a processor configured to generate second data based on a function of the first data, the second data being indicative of categories of the utilization errors, wherein at least one utilization error is assigned to a corresponding category of the categories of the utilization errors based on a predetermined parameter,
wherein the processor is configured to determine the quality rating data based on a function of a total number of MDAS utilizations, a corresponding coefficient for the corresponding category of the categories of the utilization errors and a number of utilization errors in the corresponding category of the categories of the utilization errors; and
wherein the processor is configured to determine a corresponding action based on a function of the QRD.
11. The system of claim 10 , wherein the quality rating data (QRD) is determined according to the following:
Q
R
D
=
N
∑
n
=
1
k
F
n
L
n
+
F
n
+
1
L
n
+
1
+
…
+
F
k
L
k
wherein N is the total number of the MDAS utilizations; Fn is the coefficient corresponding to the utilization error categories, Ln is a number of utilization errors in the error category, and k is a total number of the utilization error categories.
12. The system of claim 10 , wherein the MDAS includes one of a magnetic resonance imagining device, a computed tomography device, an ultrasound device, an X-ray device, and a nuclear magnetic resonance device.
13. The system of claim 10 , wherein the utilization error categories includes at least one of:
a category L1, which contains fatal utilization errors;
a category L2, which contains major utilization errors;
a category L3, which contains recoverable utilization; and
a category L4, which contains minor utilization errors.
14. The system of claim 10 , wherein a corresponding coefficient of F1 is 0.5, a corresponding coefficient of F2 is 0.35, a corresponding coefficient of F3 is 0.01, and a corresponding coefficient of F4 is 0.006.
15. The system of claim 10 , wherein the first data further includes at least one of a serial reference number of the data acquisition component or the MDAS, a time/date stamp of the utilization error that occurred during the data acquisition procedure, an identification number of a technician who performed the data acquisition procedure using the MDAS, and environmental data of the data acquisition component during the data acquisition procedure at a time/date of the utilization error.
16. The system of claim 10 , wherein the corresponding action includes at least one of:
transmitting instructions to the MDAS;
remotely shutting down the data acquisition component;
issuing a maintenance recommendation;
rebooting the MDAS;
scheduling a maintenance;
recommending a replacement of the data acquisition component;
running a diagnostic test on the data acquisition component; and
adjusting components of the data acquisition component.
17. The system of claim 10 , wherein the first data is received based on utilizing a data mining process to retrieve the first data.
18. The system of claim 10 , wherein the corresponding coefficient includes being determined by utilizing a neural network type computational model.
19. A system for determining a quality rating data of a medical data acquisition system (MDAS), comprising:
a memory configured to store a program and to receive first data which includes utilization errors by the MDAS that occurred while performing a data acquisition procedure to acquire medical data by a data acquisition component of the MDAS;
a processor configured to execute the program stored in the memory, wherein, when executed by the processor, the program causes the system to perform a process that includes:
generating second data as based on function of the first data, the second data being indicative of categories of the utilization errors, wherein at least one utilization error is assigned to a corresponding category of the categories of the utilization errors based on a predetermined parameter;
determining the quality rating data as based on function of a total number of MDAS utilizations, a corresponding coefficient for the corresponding category of the categories of the utilization errors and a number of utilization errors in the corresponding category of the categories of the utilization errors, and
determining a corresponding action based on a function of the quality rating data (QRD),
wherein the utilization error categories includes at least one of:
a category L1, which contains fatal utilization errors;
a category L2, which contains major utilization errors;
a category L3, which contains recoverable utilization; and
a category L4, which contains minor utilization errors.
20. The system of claim 19 , wherein the corresponding action includes at least one of:
remotely shutting down the data acquisition component;
rebooting the MDAS;
running a diagnostic test on the data acquisition component; and
adjusting components of the data acquisition component.