Systems And Methods For Surgical And Interventional Planning, Support, Post-Operative Follow-Up, And Functional Recovery Tracking

• US 20150261922A1
• Filed: 05/20/2015
• Published: 09/17/2015
• Est. Priority Date: 09/17/2012
• Status: Active Grant

• Current Assignee: Depuy Synthes Products Incorporated (Johnson & Johnson)
• Original Assignee: Depuy Synthes Products Incorporated (Johnson & Johnson)
• Inventors: Nawana, Namal, Horton, William C., Frasier, William J., Serhan, Hassan A., O'Neil, Michael, Sommerich, Robert E., DiPietro, Jennifer, Nordstrom, Christopher, Parsons, Matthew, Martin, Thomas
• Granted Patent: US 9,700,292 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 17/02 for holding wounds open; Tractors specula A61B1/32 ; drainage appliances for wounds A61M27/00
• CPC Class Codes: A61B 17/025 Joint distractors
• CPC Class Codes: A61B 17/50 Instruments, other than pincettes or toothpicks, for removing foreign bodies from the human body locating otherwise A61B5/06; locating by radiation A61B6/00; removing calculi A61B17/22; from the eyes A61F9/00709
• CPC Class Codes: A61B 2010/009 Various features of diagnostic instruments
• CPC Class Codes: A61B 2010/0093 slide rules
• CPC Class Codes: A61B 2017/00115 with audible or visual output
• CPC Class Codes: A61B 2017/00119 alarm; indicating an abnormal situation
• CPC Class Codes: A61B 2017/0262 with a provision for protecting nerves
• CPC Class Codes: A61B 2034/101 Computer-aided simulation of surgical operations
• CPC Class Codes: A61B 2034/105 Modelling of the patient, e.g. for ligaments or bones
• CPC Class Codes: A61B 2034/2051 Electromagnetic tracking systems
• CPC Class Codes: A61B 2034/2055 Optical tracking systems
• CPC Class Codes: A61B 2034/2057 Details of tracking cameras
• CPC Class Codes: A61B 2034/252 indicating steps of a surgical procedure
• CPC Class Codes: A61B 2034/254 being adapted depending on the stage of the surgical procedure
• CPC Class Codes: A61B 2034/256 having a database of accessory information, e.g. including context sensitive help or scientific articles
• CPC Class Codes: A61B 2090/365 augmented reality, i.e. correlating a live optical image with another image
• CPC Class Codes: A61B 2090/502 Headgear, e.g. helmet, spectacles
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61B 34/20 Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
• CPC Class Codes: A61B 34/25 : User interfaces for surgical systems
• CPC Class Codes: A61B 5/0022 : Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1118 : Determining activity level
• CPC Class Codes: A61B 5/4509 : Bone density determination
• CPC Class Codes: A61B 5/4566 : Evaluating the spine A61B5/4561 takes precedence
• CPC Class Codes: A61B 5/4571 : Evaluating the hip
• CPC Class Codes: A61B 5/4824 : Touch or pain perception evaluation A61B5/4821 takes precedence
• CPC Class Codes: A61B 5/4833 : Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/4848 : Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/7282 : Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 : using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 : Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 6/4494 : Means for identifying the diagnostic device
• CPC Class Codes: A61B 6/485 : involving fluorescence X-ray imaging
• CPC Class Codes: A61B 6/506 : for diagnosis of nerves
• CPC Class Codes: A61B 8/08 : Detecting organic movements or changes, e.g. tumours, cysts, swellings A61B8/02 - A61B8/06 take precedence
• CPC Class Codes: A61B 90/98 : using electromagnetic means, e.g. transponders
• CPC Class Codes: G01L 5/00 : Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
• CPC Class Codes: G06Q 10/00 : Administration; Management
• CPC Class Codes: G06Q 10/10 : Office automation; Time management
• CPC Class Codes: G09B 23/28 : for medicine
• CPC Class Codes: G16H 10/20 : for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/40 : relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 30/20 : for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/20 : for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/40 : for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/20 : relating to practices or guidelines
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass

Abstract

Various systems and methods are provided for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking. In general, a patient can be tracked throughout medical treatment including through initial onset of symptoms, diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment. In one embodiment, a patient and one or more medical professionals involved with treating the patient can electronically access a comprehensive treatment planning, support, and review system. The system can provide recommendations regarding diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment based on data gathered from the patient and the medical professional(s). The system can manage the tracking of multiple patients, thereby allowing for data comparison between similar aspects of medical treatments and for learning over time through continual data gathering, analysis, and assimilation to decision-making algorithms.

Claims

1. A method of treating a patient, comprising:

receiving pre-operative data regarding a patient, the pre-operative data including at least one of pre-operative pain data, pre-operative range-of-motion data, and pre-operative level-of-activity data;

collecting data from a force sensor embedded in a device inserted into a joint of the patient, the force sensor being configured to sense a force acting on the device;

devising a plan based at least in part upon the collected data;

receiving post-operative data regarding the patient following performance of a surgical procedure on the patient that was performed at least in part based on the plan, the post-operative data including at least one of post-operative pain data, post-operative range-of-motion data, and post-operative level-of-activity data;

comparing the pre-operative data and the post-operative data; and

determining an effectiveness of the plan based at least in part upon the collected data and the comparison of the pre-operative data and the post-operative data.

2. The method of claim 1, wherein the plan is devised using performance data of devices similar to the device previously inserted into other patients.

3. The method of claim 2, further comprising updating the performance data in view of the pre-operative data, the post-operative data, and the plan.

4. The method of claim 1, wherein the post-operative data includes data sensed by the sensor embedded in the device.

5. The method of claim 1, wherein the post-operative data includes data includes data measured by an implant implanted in the patient.

6. The method of claim 1, further comprising a processor that receives the pre-operative data, collects the data from the force sensor, devises the plan, receives the post-operative data, compares the pre-operative data and the post-operative data, and determines the effectiveness of the plan.

7. The method of claim 1, wherein the surgical procedure is performed on the joint of the patient.

8. A medical system including a cloud server that includes a processor configured to execute the method of claim 1, the processor being in electronic communication with the sensor.

9. A surgical system, comprising:

a device having an embedded force sensor, the device being configured to be inserted into a joint of a patient, and the force sensor being configured to sense a force acting on the device;

a memory storing pre-operative data regarding a plurality of patients, post-operative data regarding the plurality of patients, and an algorithm; and

a processor configured to

receive pre-operative data regarding a patient that includes at least one of pre-operative pain data, pre-operative range-of-motion data, and pre-operative level-of-activity data,

execute the algorithm to devise a plan based at least in part upon the received pre-operative data, the stored pre-operative data, and the stored post-operative data,

receive data from the sensor embedded in the device inserted into the patient during performance of a surgical procedure on the patient being performed at least in part based on the plan,

receive post-operative data regarding the patient following performance of the surgical procedure, the post-operative data regarding the patient including at least one of post-operative pain data, post-operative range-of-motion data, and post-operative level-of-activity data,

compare the pre-operative data regarding the patient and the post-operative data regarding the patient, and

determine an effectiveness of the plan based at least in part upon the sensor data and the comparison of the pre-operative data regarding the patient and the post-operative data regarding the patient.

10. The system of claim 9, wherein the processor is configured to update the pre-operative data regarding the plurality of patients with the pre-operative data regarding the patient and to update the post-operative data regarding the plurality of patients with the post-operative data regarding the patient, thereby improving the algorithm through continual learning.

11. The system of claim 9, wherein performance of the surgical procedures includes implanting the device in the patient, and processor is configured to, after the performance of the surgical procedure, collect additional data from the sensor embedded in the device implanted in the patient.

12. The system of claim 11, wherein determining the effectiveness of the plan based at least in part upon the collected additional data.

13. The system of claim 9, further comprising a cloud server that includes the processor.

14. A method of treating a patient, comprising:

receiving pre-operative data regarding a patient, the pre-operative data including at least one of pre-operative pain data, pre-operative range-of-motion data, and pre-operative level-of-activity data;

formulating a plan for treating the patient;

collecting data from a sensor embedded in an orthopedic device inserted into a joint of the patient during implantation of the device in the patient in accordance with the plan;

receiving post-operative data regarding the patient following performance of a surgical procedure on the patient that was based at least in part upon the collected data, the post-operative data including at least one of post-operative pain data, post-operative range-of-motion data, and post-operative level-of-activity data; and

determining an effectiveness of the plan based upon a comparison of the pre-operative data and the post-operative data.

15. The method of claim 14, wherein the plan is based upon processor-based performance data of similar patients and a predictive algorithm thereof.

16. The method of claim 15, further comprising updating the processor-based performance data with the pre-operative data, the post-operative data, and the plan, thereby improving the predictive algorithm through continual learning.

17. A medical system including a cloud server that includes a processor configured to execute the method of claim 14, the processor being in electronic communication with the force sensor.

18. A method of treating a patient, comprising:

receiving pre-operative data regarding a patient indicative of a pre-operative pain level of the patient;

storing the received pre-operative data;

receiving operative data during performance of a surgical procedure on the patient that includes implanting an orthopedic device in the patient, the device having a sensor embedded therein, and the received operative data including data sensed by the sensor;

storing the received operative data;

receiving post-operative data regarding the patient indicative of a post-operative condition of the patient;

storing the received post-operative data; and

evaluating the performance of the surgical procedure with respect to the patient'"'"'s pain level using the stored pre-operative data, the stored operative data, and the stored post-operative data.

19. The method of claim 18, wherein the received post-operative data includes at least one of data sensed by the sensor

20. The method of claim 18, wherein the received post-operative data includes data indicative of a post-operative pain level of the patient.

21. The method of claim 18, wherein the received post-operative data includes data indicative of any one or more of mobility, gait, walking speed, flexibility, muscular strength, posture, range of motion, neurologic tracking, joint movement tracking, and bone density.

22. The method of claim 18, further comprising receiving at least one of pre-operative range-of-motion data and pre-operative level-of-activity data regarding the patient, and receiving at least one of post-operative range-of-motion data and post-operative level-of-activity data regarding the patient;

and

wherein the evaluation of the performance of the surgical procedure uses at least one of the received pre-operative range-of-motion data and the received pre-operative level-of-activity data regarding the patient, and the received at least one of post-operative range-of-motion data and post-operative level-of-activity data regarding the patient.

23. The method of claim 18, further comprising formulating a plan for the patient using the received pre-operative data;

and

evaluating the plan using the received operative data and the received post-operative data.

24. The method of claim 23, wherein the plan is formulated using at least one of pre-operative data, operative data, and post-operative data regarding a plurality of patients similar to the patient.

25. A medical system including a cloud server that includes a processor configured to execute the method of claim 18, and that includes a memory that stores the received pre-operative data, the received operative data, and the received post-operative data, the processor being in electronic communication with the sensor.