Surgical planning systems and methods with postoperative feedback loops
Improved surgical planning systems and methods are provided for planning orthopaedic procedures, including pre-operatively, intra-operatively, and/or post-operatively to create, edit, execute, and/or review surgical plans. The surgical planning systems and methods may be utilized for planning and implementing orthopaedic procedures to restore functionality to a joint. In some embodiments, an anatomical makeup classification may be assigned to an anatomy associated with postoperative patient outcome data, and a surgical outcomes database of the surgical planning system may be automatically updated based on the postoperative patient outcome data for the assigned anatomical makeup classification.
1. A surgical planning system, comprising:
a memory device configured to store computer executable instructions; and
a processor configured to execute the computer executable instructions to:
receive a postoperative patient outcome data from a user of the surgical planning system;
assign an anatomical makeup classification within a set of anatomical makeup classifications that anatomically describe a representative patient population to a first anatomy associated with the postoperative patient outcome data in response to fitting a virtual three-dimensional anatomical model associated with a second anatomy that exists within the representative patient population to the first anatomy associated with the postoperative patient outcome data; and
update a surgical outcomes database of the surgical planning system based on the postoperative patient outcome data for the anatomical makeup classification that is assigned to the first anatomy.
2. The surgical planning system as recited in claim 1 , wherein the processor is configured to:
update the surgical outcomes database with a size and a type of a surgical implant identified within the postoperative patient outcome data.
3. The surgical planning system as recited in claim 2 , wherein the processor is configured to:
input the size and the type of the surgical implant into a range of motion database of the surgical planning system for the anatomical makeup classification that is assigned to the first anatomy.
4. The surgical planning system as recited in claim 3 , wherein the processor is configured to:
update the range of motion database based on the input.
5. The surgical planning system as recited in claim 1 , wherein the processor is configured to:
update the surgical outcomes database with a position and an orientation of a surgical implant identified within the postoperative patient outcome data.
6. The surgical planning system as recited in claim 5 , wherein the processor is configured to:
input the position and the orientation of the surgical implant into a range of motion database of the surgical planning system for the anatomical makeup classification that is assigned to the first anatomy.
7. The surgical planning system as recited in claim 6 , wherein the processor is configured to:
update the range of motion database based on the input.
8. The surgical planning system as recited in claim 1 , wherein the processor is configured to:
receive a preoperative surgical plan for a patient;
assign a second anatomical makeup classification to an anatomy associated with the patient;
query the surgical outcomes database for prior surgeries that involved a significantly comparable anatomical makeup classification to the second anatomical makeup classification; and
confirm a position and orientation of a surgical implant for the patient based on the prior surgeries.
9. The surgical planning system as recited in claim 8 , wherein the preoperative surgical plan is informed at least in part by a survivorship predictive index calculated by the processor, wherein the survivorship predictive index is a percentile representation of a confidence level that the preoperative surgical plan will result in a successful surgical outcome for at least a predefined amount of time.
10. The surgical planning system as recited in claim 1 , wherein the anatomical makeup classification is a unique, unitless, multi-character identifier that describes an anatomical makeup of the first anatomy.
11. A computer implemented surgical planning method comprising the steps of:
receiving, via a processor of a surgical planning system, a postoperative patient outcome data concerning a patient from a user of the surgical planning system;
assigning, via the processor, an anatomical makeup classification within a set of anatomical makeup classifications that anatomically describe a representative patient population to a first anatomy associated with the postoperative patient outcome data in response to fitting a virtual three-dimensional anatomical model associated with a second anatomy that exists within the representative patient population to the first anatomy associated with the postoperative patient outcome data; and
updating a surgical outcomes database of the surgical planning system based on the postoperative patient outcome data for the anatomical makeup classification that is assigned to the first anatomy.
12. The computer implemented surgical planning method as recited in claim 11 , wherein updating the surgical outcomes database includes:
updating the surgical outcomes database with a size and a type of a surgical implant identified within the postoperative patient outcome data for the anatomical makeup classification that is assigned to the first anatomy.
13. The computer implemented surgical planning method as recited in claim 12 , comprising:
inputting the size and the type of the surgical implant into a range of motion database of the surgical planning system for the anatomical makeup classification that is assigned to the first anatomy.
14. The computer implemented surgical planning method as recited in claim 13 , comprising:
updating the range of motion database in response to the inputting.
15. The computer implemented surgical planning method as recited in claim 11 , wherein updating the surgical outcomes database includes:
updating the surgical outcomes database with a position and an orientation of a surgical implant identified within the postoperative patient outcome data for the anatomical makeup classification that is assigned to the first anatomy.
16. The computer implemented surgical planning method as recited in claim 15 , comprising:
inputting the position and the orientation of the surgical implant into a range of motion database of the surgical planning system for the anatomical makeup classification that is assigned to the first anatomy.
17. The computer implemented surgical planning method as recited in claim 16 , comprising:
updating the range of motion database in response to the inputting.
18. The computer implemented surgical planning method as recited in claim 11 , wherein the anatomical makeup classification is a unique, unitless, multi-character identifier for describing a bone or a joint of the first anatomy relative to the representative patient population.
19. The computer implemented surgical planning method as recited in claim 18 , wherein the unique multi-character identifier is representative of a plurality of modes that characterize anatomical differences in the bone or the joint across a plurality of standard deviations of anatomical variances contained within each mode of the plurality of modes.
20. A surgical planning method comprising the steps of:
preparing, using a surgical planning system, a preoperative surgical plan that identifies a recommended implant type, a recommended implant positioning, or a recommended implant orientation for a patient;
performing a surgical procedure on the patient according to the preoperative surgical plan;
providing a postoperative patient outcome data concerning the patient to the surgical planning system;
receiving, from the surgical planning system, an anatomical makeup classification that characterizes a first anatomical makeup of a bone or a joint associated with the postoperative patient outcome data relative to a representative patient population in response to the surgical planning system fitting a virtual three-dimensional anatomical model associated with a second anatomical makeup that exists within the representative patient population to the first anatomical makeup associated with the postoperative patient outcome data; and
instructing the surgical planning system to update a surgical outcomes database or a range of motion database of the surgical planning system based on the postoperative patient outcome data for the anatomical makeup classification that is assigned to the bone or the joint.