Assessing athlete injuries

• US 8,019,624 B2
• Filed: 03/09/2006
• Issued: 09/13/2011
• Est. Priority Date: 03/09/2005
• Status: Expired due to Fees

• Current Assignee: Medpros, LLC
• Original Assignee: Malone K. Scott
• Inventors: Malone, K. Scott
• Primary Examiner(s): O'Connor; Gerald J.
• Assistant Examiner(s): WOODS, TERESA S
• Application Number:
  US11/371,864
• Publication Number:
  US 20060206027A1
• Time in Patent Office: 2,014 Days
• Field of Search: 340/870.07, 600/300, 463/42, 705/2, 705/3
• US Class Current: 705/3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• 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 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

Methods, systems, and computer program products assess injuries to elite athletes. A method involves receiving historical data associated with the athlete and receiving performance data from a functional assessment of the athlete. The functional assessment is designed based on a sport, a position, and/or the injury of the athlete. The method also involves querying a data source for mined data associated with athlete injuries similar to the injury being assessed, generating predictive data relevant to the injury, and analyzing the historical data, the performance data, the mined data, and/or the predictive data to produce a predictive analysis associated with the athlete.

Claims

1. A computer-implemented method for assessing an injury to an athlete, the method comprising:

receiving historical data associated with the athlete;

receiving performance data from a functional assessment of the athlete wherein the functional assessment is designed based on at least one of the following;

a sport of the athlete, a position of the athlete, and the injury of the athlete;

calculating, by the computer, utilizing a data source, mined data associated with injuries similar to the injury being assessed, wherein the mined data is calculated by the data source utilizing a plurality of table structures within a database management system, the plurality of table structures comprising athlete, injury and treatment data, the mined data comprising at least one of the following;

an average number of years, calculated by the data source, of future athletic performance by athletes with injuries similar to the injury being assessed, the average number of years comprising a number of years between an injury date and a career ending date associated with the athletes; and

a percentage of athletes, calculated by the data source using a performance weighting value, having a predetermined number of a plurality years of future performance with injuries similar to the injury being assessed, wherein the injury being assessed comprises one of a plurality of different injuries incurred during an athletic career for the athlete;

compiling the historical data and the performance data with the mined data for use in a creation of data relationships, statistical analysis, and data modeling employed in predicative analysis;

querying, by the computer, the data source for the mined data;

receiving, by the computer, the mined data as predictive data relevant to the injury; and

analyzing at least one of the following;

the historical data, the performance data, the mined data, and the predictive data to produce the predictive analysis associated with the athlete, wherein the analysis of the mined data produces a predictive analysis comprising an assessment of future athletic performance of the athlete for at least one year after the injury.

2. The method of claim 1, further comprising generating a report including the predictive analysis and recommendations based on the predictive analysis.

3. The method of claim 2, wherein generating a report including the predictive analysis and recommendations comprises calculating at least one of the following:

impairment of the athlete at least in part due to the injury;

predictive injury statistics based on percentiles and biostatistical measures;

probability of the injury reoccurring; and

marketability of the athlete based on the injury.

4. The method of claim 3, further comprising prior to querying a data source for mined data, generating the data source containing mined data associated with a plurality of injuries and athletes.

5. The method of claim 4, further comprising updating the data source with data associated with the predictive analysis.

6. The method of claim 5, wherein generating the data source comprises:

receiving athlete injury data from at least one source;

organizing the athlete injury data for accessibility to produce the mined data based on at least one of the following;

sports associated with the athlete injury data, positions of athletes associated with the athlete injury data, physiology of the athletes associated with the athlete injury data, career status of the athletes associated with the athlete injury data, exposure of the athletes associated with the athlete injury data, and injuries associated with the athlete injury data; and

storing the mined data in the data source.

7. The method of claim 1, further comprising receiving orthopedic data from an independent orthopedic assessment of the athlete;

and

analyzing the orthopedic data to produce the predictive analysis.

8. The method of claim 7, further comprising:

receiving data associated with a brain typing evaluation of the athlete;

receiving vocational data associated with a vocational assessment of the athlete; and

generating a report for each one of the following;

the independent orthopedic assessment;

the functional assessment including generating the impairment;

the predictive data relevant to the injury;

the brain typing evaluation; and

the vocational assessment.

9. The method of claim 1, wherein receiving historical data comprises receiving at least one of the following associated with the athlete:

pre-existing medical conditions; and

a current career status of the athlete;

wherein the current career status comprises information associated with at least one of the following;

a start of a career of the athlete, an injury during the career, and an end of the career.

10. The method of claim 1, wherein the predictive analysis is further used in association with at least one of the following:

athlete contract negotiations;

workmens compensation decisions;

functional performance baselines due to a new injury;

pre-existing injury assessments prior to athlete participation with a new team;

career ending injury settlements;

retirement settlements for injuries obtained during career;

injury treatment recommendations; and

expert opinions in court.

11. A computer program product comprising a computer-readable medium having control logic stored therein for causing a computer to assess an injury to an athlete, the control logic comprising computer-readable program code for causing the computer to:

receive historical data associated with the athlete;

receive performance data from a functional assessment of the athlete wherein the functional assessment is designed based on at least one of the following;

a sport of the athlete, a position of the athlete, and the injury of the athlete;

calculate, utilizing a data source, mined data associated with injuries similar to the injury being assessed, wherein the mined data is calculated by the data source utilizing a plurality of table structures within a database management system, the plurality of table structures comprising athlete, injury and treatment data;

compile the historical data and the performance data with the mined data for use in a creation of data relationships, statistical analysis, and data modeling employed in a predicative analysis comprising an assessment of future athletic performance of the athlete for at least one year after the injury;

query the data source for the mined data;

receive the mined data as predictive data relevant to the injury and the athlete; and

analyze at least one of the following;

the historical data, the performance data, the mined data, and the predictive data to produce a predictive analysis associated with the athlete, wherein the analysis of the mined data produces the predictive analysis.

12. The computer program product of claim 11, further comprising computer-readable program code for causing the computer to generate a report including the predictive analysis and recommendations based on the predictive analysis.

13. The computer program product of claim 12, wherein the computer-readable program code for causing the computer to generate the report comprises computer-readable program code for causing the computer to calculate at least one of the following:

impairment of the athlete at least in part due to the injury;

predictive injury statistics based on percentiles and biostatistical measures;

probability of the injury reoccurring; and

marketability of the athlete based on the injury.

14. The computer program product of claim 13, further comprising computer-readable program code for causing the computer to generate the data source containing mined data associated with a plurality of injuries and athletes prior to querying a data source for mined data.

15. The computer program product of claim 14, further comprising computer-readable program code for causing the computer to update the data source with data associated with the predictive analysis.

16. The computer program product of claim 15, wherein the computer-readable program code for causing the computer to generating the data source comprises computer-readable program code for causing the computer to:

receive athlete injury data from at least one source;

organize the athlete injury data for accessibility to produce the mined data based on at least one of the following;

sports associated with the athlete injury data, positions of athletes associated with the athlete injury data, physiology of the athletes associated with the athlete injury data, career status of the athletes associated with the athlete injury data, exposure of the athletes associated with the athlete injury data, and injuries associated with the athlete injury data; and

store the mined data in the data source.

17. The computer program product of claim 11, further comprising computer-readable program code for causing the computer to receive orthopedic data from an independent orthopedic assessment of the athlete;

and

analyze the orthopedic data to produce the predictive analysis.

18. A system for assessing an injury to an athlete, the system comprising:

a computer operative to;

receive historical data associated with the athlete;

receive personality characteristic data associated with the athlete;

receive performance data from a functional assessment of the athlete wherein the functional assessment is designed based on at least one of the following;

a sport of the athlete, a position of the athlete, and the injury of the athlete;

calculate, utilizing a data source, mined data associated with injuries similar to the injury being assessed, wherein the mined data is calculated by the data source utilizing a plurality of table structures within a database management system, the plurality of table structures comprising athlete, injury and treatment data, the mined data comprising at least one of the following;

an average number of years, calculated by the data source, of future athletic performance by athletes with injuries similar to the injury being assessed, the average number of years comprising a number of years between an injury date and a career ending date associated with the athletes; and

a percentage of athletes, calculated by the data source using a performance weighting value, having a predetermined number of a plurality years of future performance with injuries similar to the injury being assessed, wherein the performance weighting value comprises a numerical value gauging a role that a physical attribute of the athlete plays in effective performance of the position played by the athlete and wherein the injury being assessed comprises one of a plurality of different injuries incurred during an athletic career for the athlete;

compile the historical data the performance data, and the personality characteristic data with the mined data for use in a creation of data relationships, statistical analysis, and data modeling employed in predicative analysis comprising an assessment of future athletic performance of the athlete for at least one year after the injury;

query the data source for the mined data;

receive the mined data as predictive data relevant to the injury and the athlete; and

analyze at least one of the following;

the historical data, the performance data, the mined data, and the predictive data to produce the predictive analysis associated with the athlete, wherein the analysis of the mined data produces a predictive analysis comprising an assessment of future athletic performance of the athlete for at least one year after the injury; and

a second computer operative to

generate the data source containing mined data associated with a plurality of injuries and athletes prior to the computer querying the data source for mined data;

receive athlete injury data from at least the following sources;

an insurance company;

a guide to impairment;

a sports medicine institute;

sport league surveillance intelligence;

health care database;

professional sport league data bank; and

a financial services system;

organize the athlete injury data for accessibility to produce the mined data based on at least one of the following;

sports associated with the athlete injury data, positions of athletes associated with the athlete injury data, physiology of the athletes associated with the athlete injury data, career status of the athletes associated with the athlete injury data, exposure of the athletes associated with the athlete injury data, and injuries associated with the athlete injury data and

store the mined data in the data source.

19. The system of claim 18, wherein the computer is further operative to calculate at least one of the following:

impairment of the athlete at least in part due to the injury;

predictive injury statistics based on percentiles and biostatistical measures;

probability of the injury reoccurring; and

marketability of the athlete based on the injury.

20. A business method for assessing an injury to an athlete which is implemented at least in part by a computer, the method comprising:

gathering medical history and information associated with the athlete to be assessed, the information comprising personality characteristics of the athlete used in a predictive analysis associated with the athlete;

designing and conducting a functional evaluation of the athlete;

conducting an independent orthopedic evaluation of the athlete by a certified a assessor;

calculating, by the computer, utilizing a data source, mined data associated with injuries similar to the injury being assessed, wherein the mined data is calculated by the data source utilizing a plurality of table structures within a database management system, the plurality of table structures comprising athlete, injury and treatment data;

compiling the history and information associated with the athlete, functional evaluation data of the athlete, and independent orthopedic evaluation of the athlete with the mined data for use in a creation of data relationships, statistical analysis, and data modeling employed in the predicative analysis;

querying, by the computer, the mined data to make predictions about the injury of the athlete;

providing the orthopedic and functional evaluation based on at least one of the following;

a position, a sport, and the injury of the athlete; and

analyzing at least one of the following;

the medical history and information, the functional evaluation, the orthopedic evaluation, the mined data based on the position, the sport, and the injury of the athlete therein making predictions regarding one of the following;

the injury and the athlete.