Apparatus and method for improved estimation of health resource consumption through use of diagnostic and/or procedure grouping and severity of illness indicators

• US 5,018,067 A
• Filed: 07/29/1987
• Issued: 05/21/1991
• Est. Priority Date: 01/12/1987
• Status: Expired due to Term

• Current Assignee: Verras Medical, Inc.
• Original Assignee: Iameter, Inc.
• Inventors: Mohlenbrock, William C., Farley, Peter J., Trummell, Donald E. Jr., Frye, Lawrence J., Bostrom, Alan G.
• Primary Examiner(s): Atkinson, Charles E.
• Assistant Examiner(s): Hayes, Gail O.
• Application Number:
  US07/079,654
• Time in Patent Office: 1,392 Days
• Field of Search: 364/414-415, 364/413.02, 364/413.01
• US Class Current: 600/300
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• 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: Y10S 128/92 Computer assisted medical diagnostics

Abstract

The likely consumption of health provider resources that are necessary to treat a particular medical patient are estimated within the framework of the existing Federal mandated system that uses Diagnostic Related Groups (DRG'"'"'s) for setting the amount of payment that a hospital or other health provider will receive from the United States Government for that patient under the Medicare reimbursement system. The amount of payment is made from a calculation using the DRG system, regardless of the actual cost to the health provider. The Federal system results in a wide variation of health care costs occurring within each DRG, resulting from varying degrees of overall sickness among patients that are similarly classified. The present invention works within the DRG system and all of the sub-groups of DRG'"'"'s including groups of diagnosis codes and individual diagnosis codes. Hidden information is extracted from the same input data that is used by the DRG system, in order to classify each patient into sub-categories of resource consumption, or other outcome variable, within a designated DRG or DRG sub-group. The invention is implemented by a general purpose computer system.

Claims

1. A method of monitoring the performance of a health provider in rendering medical services to a patient, comprising the steps of:

(1) predicting an outcome of treatment of the patient by the health provider by a method including the following steps executed on a computer;

converting into digital electronic signals input medical codes of at least a patient'"'"'s principal diagnosis, any secondary diagnoses, any surgical procedures, sex and age,

identifying a few of an existing plurality of diagnostic and/or procedure groups of illnesses that are appropriate for either one of the surgical procedures signals or the principal diagnosis signals,

selecting from those few identified groups a single diagnostic or procedure group that is consistent with the signals of any secondary diagnoses and the patient'"'"'s age and sex, and

calculating a sub-category within the single selected diagnostic or procedure group for predicting at least one outcome by a formula that mathematically combines various of the medical code input signals with constants unique to the single selected diagnostic or procedure group, the constants having been determined from a statistical analysis of a large amount of actual patient data within the single selected diagnostic or procedure group by use of the same formula;

(2) predicting from the calculated sub-category at least one outcome of patient treatment;

(3) comparing said predicted outcome with the actual outcome of patient treatment;

(4) monitoring the performance of health providers through use of said comparison; and

(5) providing counseling to said health provider if the performance level of the health provider falls below an established level.

2. A method of monitoring the performance of a health provider in rendering medical services to a patient, comprising the steps of:

(1) in a computer system having data of a medical patient that includes the patient'"'"'s age, a numerical representation of the patient'"'"'s sex, an ICD code of a principal diagnosis of the patient'"'"'s condition, one or more ICD codes of secondary diagnosis of the patient'"'"'s condition, and a DRG determined from the ICD codes in accordance with a Government grouper algorithm, a method of predicting by computer processing an outcome of treatment of the patient, comprising the steps of;

providing a computer static data base that includes a first table of DRG categories into which each of a plurality of ICD codes is mapped, and a second table of Government mandated weights of the individual DRG categories,

determining from the first table the DRG categories into which each of the ICD codes is mapped,

reading from the second table the weights of each of the determined DRG categories,

summing the read DRG weights, and

predicting an outcome of the patient treatment by use of the sum of the read DRG weights;

(2) comparing said predicted outcome with the actual outcome of patient treatment;

(3) monitoring the performance of health providers through use of said comparison; and

(4) providing counseling to said health provider if the performance level of the health provider falls below an established level.

3. A method according to claim 2 wherein the outcome predicting step includes estimating the length of hospital stay for the patient and classifying that stay length into one of a few categories within the DRG determined for the patent.

4. A method according to claim 2 wherein the method of predicting an outcome of treatment additionally comprises a step of counting the number of patient ICD diagnosis codes, and wherein the outcome calculation step includes use of said ICD code count in estimating the outcome.

5. A method according to claim 4 wherein, in the method of predicting an outcome of treatment, the computer system additionally includes one or more ICD codes of the procedures performed or to be performed on the patient, and wherein the outcome predicting method additionally comprises a step of counting the number of patient ICD procedure codes, and further wherein the outcome calculation step includes use of said ICD code count in predicting the outcome.

6. A method according to claim 5 wherein, in the method of predicting an outcome of treatment, the first table of the static data base also includes a MDC body system category into which each ICD code is mapped, and wherein the outcome estimating method additionally comprises a step of counting the number of MDC categories in which the patient ICD codes map, and further wherein the outcome calculation step includes the use of said MDC category count in predicting the outcome.

7. A method according to claim 2 wherein, in the method of predicting the outcome of treatment,

the first table of the static data base also includes an indication for the individual ICD codes whether each is on a Government list of ICD codes that can indicate the existence of a complication or co-morbidity, and, if so, also indicates a weight of severity of the condition indicated by each such ICD code,

said method additionally comprising the steps of reading the weight of the patient'"'"'s ICD codes and summing those weights, and

further wherein the outcome calculation step includes the use of the sum of said weights in estimating the outcome.

8. A method according to claim 2 wherein, in the method of predicting the outcome of treatment,

the second table of the static data base also includes for individual DRGs one or more DRGs that are medically related thereto and which have higher Government assigned weights,

said method additionally comprising the steps of reading from the second table the related DRGs for each DRG into which a patient ICD code is mapped, and looking up in the first table the Government assigned weights for each of the related DRGs so read, and summing those read weights, and

further wherein the outcome prediction step includes the use of related DRG weight sum in predicting the outcome.

9. A method of monitoring the performance of a health provider in rendering medical services to a patient, comprising the steps of:

(1) for use with a system that estimates the amount of resources that are likely to be consumed to treat a specific patient illness by classifying the patient into one of a large number of categories of estimated resource consumption on the basis of input information that includes a principal diagnosis and/or a surgical procedure performed or to be performed, any secondary diagnoses, the patient'"'"'s age and sex, a method of more accurately estimating an outcome of treatment of the patient by a health provider within said one category, comprising the following steps executed on a computer;

determining a category for each of a plurality of diagnoses and/or procedures of the input information as if it was the only diagnosis or procedure to be considered, and noting the resource estimate for each such category,

determining from said input information a plurality of other quantities relating to the patient'"'"'s condition, and

calculating a refined resource estimate within the determined one category by solving an algebraic equation that combines the noted category resource estimates and the other quantities derived from the input information after multiplication by a plurality of constants, said constants having been derived by statistical analysis of a large amount of actual data of input information and the resources consumed by patients classified in said one category by use of said algebraic equation;

(2) comparing said calculated resource estimate with the amount of resources actually used;

(3) monitoring the performance of health providers through use of said comparison; and

(4) providing counseling to said health provider if the performance level of the health provider falls below an established level.

10. The method according to claim 9 wherein the step of determining a category includes doing so for each of the diagnoses in said input information but not for any surgical procedures therein.

11. The method according to claim 9 wherein the step of determining a category includes doing so for each of the principal and secondary diagnoses and surgical procedures in said input information.

12. The method according to claim 9 wherein the step of determining other quantities includes calculating by said computer the following from the input information:

a total of the number of different diagnoses,

a total number of any surgical procedures performed or to be performed, and

a number of different body systems involved as a result of the patient'"'"'s illness.

14. The method according to any of claims 9-13, inclusive, wherein said diagnoses and surgical procedures are expressed as ICD codes, said categories are diagnostic related groups (DRGs) of a health care reimbursement system, and the category resource estimates are Government designated weights of the individual DRGs.

13. A method of monitoring the performance of a health provider in rendering medical services to a patient, comprising the steps of:

(1) for use with a system that estimates the amount of resources that are likely to be consumed to treat a specific patient illness by classifying the patient into one of a large number of categories of estimated resource consumption on the basis of input information that includes a principal diagnosis and/or a surgical procedure performed or to be performed, any secondary diagnoses, the patient'"'"'s age and sex, a method of forecasting an outcome of treatment of the patient by a health provider, comprising the following steps executed on a computer;

determining a plurality of quantities relating to the patient'"'"'s illness, such a determination being made only from (A) the input information about the patient and the patient'"'"'s illness that is used to determine said one category, and (B) a static database including but not limited to information about the categories, diagnoses, procedures and category estimated resource consumption, and

calculating a refined resource estimate within the determined one category by solving an algebraic equation that combines said plurality of quantities after multiplication by a plurality of constants, said constants having been derived from use of said algebraic equation by statistical analysis of a large amount of actual data of input information and the resources consumed by patients classified in said one category;

(2) comparing said calculated resource estimate with the amount of resources actually used;

(3) monitoring the performance of health providers through use of said comparison; and

(4) providing counseling to said health provider if the performance level of the health provider falls below an established level.

15. A method of monitoring the performance of a health provider in rendering medical services to a given patient from patient information including illness diagnoses, surgical procedures performed or to be performed, if any, age and sex, comprising the steps of:

establishing on a computer a mathematical relationship of said treatment outcome with a plurality of variables developed from said patient information,

inputing to the computer data including said information and resulting treatment outcomes for a large population of actual patients,

utilizing the mathematical relationship to determine by calculations with the computer a set of elements in the mathematical relationship from said actual patient data which minimize differences between the actual outcomes and those calculated by said mathematical relationship from the actual patient information,

forming by calculation on the computer the mathematical relationship variables from said given patient information,

solving on the computer said mathematical relationship with said given patient variables and said determined set of elements, thereby to provide a prediction of the outcome of treatment for said given patient;

comparing said predicted outcome with the actual outcome of patient treatment;

monitoring the performance of health providers through use of said comparison; and

providing counseling to said health provider if the performance level of the health provider falls below an established level.

16. A method according to claim 15 wherein the outcome of treatment includes the level of resources expended in providing patient treatment.

17. A method according to claim 15 wherein the step of forming the variables includes the steps of forming from said patient information at least a first variable that is proportional to the total number of said diagnoses, and a second variable that is proportional to the total number of said surgical procedures performed or to be performed.

18. A method according to claim 15 wherein the step of forming the variables includes the step of forming a variable that is proportional to a sum of relative weights of groups of the diagnoses and/or procedures.

19. A method according to claim 15 wherein the step of establishing a mathematical relationship includes the steps of establishing a plurality of constants as said elements, and obtaining mathematical products of one or more of said variables by one of said constants, and then summing the products in order to obtain the outcome.

20. A method according to any one of claims 15-19 wherein the step of forming the mathematical relationship variables includes doing so only from patient information of illness diagnoses, surgical procedures performed or to be performed, if any, age and sex.

21. A method of monitoring the performance of a health provider in rendering medical services to a patient from patient information including illness diagnoses, surgical procedures performed or to be performed, if any, age and sex, comprising the steps of:

(1) in a computer system that includes means for mapping a medical patient'"'"'s condition and/or treatment into a single group of related diagnoses and/or procedures from information of the patient that includes a principal diagnosis code, one or more surgical procedure codes, if any, one or more secondary diagnosis codes, if any, the patient'"'"'s age, and the patient'"'"'s sex, a method of predicting an outcome of treatment of the patient by a health provider by use of said computer system, comprising the steps of;

calculating a plurality of variables from said patient information, and

mathematically combining said variables with the use of a plurality of constants that have been determined by statistical analysis of data from an actual patient population within said single group of related diagnoses and/or procedures, thereby to predict an outcome of treatment of the patient;

(2) comparing said predicted outcome with the actual outcome of patient treatment;

(3) monitoring the performance of health providers through use of said comparison; and

(4) providing counseling to said health provider if the performance level of the health provider falls below an established level.

22. A method according to claim 21 wherein the outcome of treatment includes an indication of the level of resources expended in providing patient treatment.

23. A method according to claim 21 wherein the step of calculating a plurality of variables includes the steps of forming from said patient information at least a first variable that is proportional to the total number of said diagnoses, and a second variable that is proportional to the total number of said surgical procedures performed or to be performed, if any.

24. A method according to claim 21 wherein the step of calculating a plurality of variables includes the step of forming a variable that is proportional to a sum of relative weights of various groups of related diagnoses and/or procedures into which the diagnoses and/or procedures individually map.

25. A method according to claim 21 wherein the step of mathematically combining the variables includes obtaining a plurality of mathematical products of one or more of said variables by one of said constants, and then summing the products in order to obtain the outcome.

26. A method according to claim 21 wherein the steps of predicting of the outcome of treatment comprise the additional step of classifying the predicted outcome within one of a plurality of sub-categories within the determined single group of related diagnoses and/or procedures.

27. A method according to any one of claims 21-26 wherein the step of forming the mathematical relationship variables includes doing so only from patient information of illness diagnoses, surgical procedures performed or to be performed, if any, age and sex.