Dynamic adjustment of algorithms for separation and collection of blood components
Blood is conveyed from a source into a separator, which separates at least one target blood component from the blood. The target blood component is then conveyed out of the separator, with the procedure continuing until an initial target amount of blood to be processed has been conveyed from the source into the separator and the target blood component separated from the initial target amount of blood to be processed has been conveyed out of the separator as an actual yield of the target blood component. An adjusted target amount of blood to be processed is then determined based at least in part on the difference between a target yield of the target blood component and the actual yield. The initial target amount of blood to be processed is then replaced with the adjusted target amount of blood to be processed when next executing the procedure.
1. A blood separation device, comprising:
a separator configured to receive a blood separation chamber;
a pump system; and
a controller configured to execute a blood separation procedure for a blood source connected to the blood separation device in which the controller
(a) determines or is provided with an initial target amount of blood to be processed in order to collect a target yield of at least one target blood component,
(b) commands the pump system to convey blood from the blood source into the separator,
(c) commands the separator to separate said at least one target blood component from the blood in the separator,
(d) commands the pump system to convey said at least one target blood component out of the separator,
(e) continues executing (b)-(d) until the initial target amount of blood to be processed has been conveyed from the blood source into the separator and said at least one target blood component separated from the initial target amount of blood to be processed has been conveyed out of the separator as an actual yield of said at least one target blood component, and
upon the initial target amount of blood being processed, (f) completes the blood separation procedure, with the blood source being disconnected from the blood separation device, wherein the controller is further configured to execute a subsequent iteration of the blood separation procedure for the same blood source in which the initial target amount of blood to be processed is replaced with an adjusted target amount of blood to be processed based at least in part on a difference between the target yield and the actual yield.
2. The blood separation device of claim 1 , wherein the controller is configured to replace the adjusted target amount of blood to be processed with a further adjusted target amount of blood to be processed based at least in part on a difference between the target yield and the actual yield after executing (b)-(e) using the adjusted target amount of blood to be processed.
3. The blood separation device of claim 1 , wherein the controller is configured to
determine the difference between the target yield and the actual yield, and
determine the adjusted target amount of blood to be processed.
4. The blood separation device of claim 1 , wherein the controller is configured to be provided with the difference between the target yield and the actual yield and to determine the adjusted target amount of blood to be processed.
5. The blood separation device of claim 1 , wherein the controller is configured to be provided with a scaling factor based at least in part on the difference between the target yield and the actual yield and to determine the adjusted target amount of blood to be processed based at least in part on said scaling factor.
6. The blood separation device of claim 1 , wherein the controller is configured to be provided with the adjusted target amount of blood to be processed.
7. The blood separation device of claim 1 , wherein the adjusted target amount of blood to be processed is based at least in part on a difference between at least one blood source characteristic before and after executing (b)-(f).
8. The blood separation device of claim 1 , wherein the controller is configured to
access a plurality of recorded differences between target and actual yields for the blood source,
determine an average of two or more of said plurality of recorded differences, and
determine the adjusted target amount of blood to be processed based at least in part on said average.
9. The blood separation device of claim 8 , wherein controller is configured to weigh at least two of said two or more recorded differences differently when determining said average.
10. The blood separation device of claim 9 , wherein the controller is configured to employ exponential smoothing techniques when determining a weight to be assigned to at least one of said recorded differences.
11. The blood separation device of claim 8 , wherein the controller is configured to calculate at least one moving average when determining the adjusted target amount of blood to be processed.
12. The blood separation device of claim 8 , wherein the controller is configured to employ machine learning techniques to determine a number of recorded differences to be included when determining said average so as to produce a smallest mean squared error when determining said average.
13. A method of executing a blood separation procedure, the method comprising:
(a) conveying blood from a blood source connected to a blood separation device into a separator,
(b) separating at least one target blood component from the blood in the separator,
(c) conveying said at least one target blood component out of the separator,
(d) continuing to execute (a)-(c) until an initial target amount of blood to be processed has been conveyed from the blood source into the separator and said at least one target blood component separated from the initial target amount of blood to be processed has been conveyed out of the separator as an actual yield of said at least one target blood component, and
upon the initial target amount of blood being processed, (e) completing the blood separation procedure, with the blood source being disconnected from the blood separation device, wherein the initial target amount of blood to be processed when executing a subsequent iteration of the blood separation procedure for the same blood source is replaced with an adjusted target amount of blood to be processed based at least in part on a difference between a target yield of said at least one target blood component and the actual yield.
14. The method of claim 13 , further comprising replacing the adjusted target amount of blood to be processed with a further adjusted target amount of blood to be processed based at least in part on a difference between the target yield and the actual yield after executing said subsequent iteration of the blood separation procedure for the same blood source using the adjusted target amount of blood to be processed.
15. The method of claim 13 , wherein the adjusted target amount of blood to be processed is based at least in part on a difference between at least one blood source characteristic before and after executing (a)-(e).
16. The method of claim 13 , further comprising
executing (a)-(e) a plurality of times,
recording the difference between the target and actual yields each time that (a)-(e) is executed,
selecting two or more of said recorded differences,
determining an average of said two or more recorded differences, and
determining the adjusted target amount of blood to be processed based at least in part on said average.
17. The method of claim 16 , wherein at least two of said two or more recorded differences are weighted differently when determining said average.
18. The method of claim 17 , wherein the weight to be assigned to at least one of said recorded differences is determined using exponential smoothing techniques.
19. The method of claim 16 , wherein said determining the adjusted target amount of blood to be processed includes calculating at least one moving average.
20. The method of claim 16 , wherein said selecting two or more of said recorded differences includes employing machine learning techniques to determine a number of recorded differences to be selected so as to produce a smallest mean squared error when determining said average.