Systems and methods for assessing staffing levels and predicting patient outcomes

• US 9,946,840 B1
• Filed: 03/13/2014
• Issued: 04/17/2018
• Est. Priority Date: 03/14/2013
• Status: Active Grant

• Current Assignee: Axon Acuity, LLC
• Original Assignee: Axon Acuity, LLC
• Inventors: Kemp, Tammy S
• Primary Examiner(s): Le, Linh Giang
• Application Number:
  US14/209,439
• Time in Patent Office: 1,496 Days
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• 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 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Certain embodiments described herein are directed to methods and systems configured to score patient indicators and determine suitable staffing levels based on the scored patient indicators. In some configurations, the system determines scoring levels by comparing the patient indicators to empirical patient data or information.

Claims

1. A method implemented in a computing device comprising processing circuitry and interface circuitry communicatively coupled to the processing circuitry, the method comprising:

receiving, by the processing circuitry via the interface circuitry, empirical patient data for a plurality of patients assigned to a healthcare unit of a medical facility;

responsive to detecting a change in the empirical patient data, determining, by the processing circuitry, a composite patient indicator score for each of the plurality of patients for a first period by scoring patient indicators using scores derived from the empirical patient data and using a weighting factor scale range for each of the patient indicators, wherein the weighting factor scale range is different for at least two of the patient indicators and a patient indicator representative of a higher mortality risk has a greater range of values than a patient indicator representative of a lower mortality risk;

determining, by the processing circuitry, a population score by summing the composite patient indicator scores of the plurality of patients;

updating, by the processing circuitry via the interface circuitry, a display device communicatively coupled to the interface circuitry with;

a map of the medical facility that graphically illustrates a layout of the medical facility; and

a visual representation of a juxtaposition of the healthcare unit relative to the layout of the medical facility;

wherein the visual representation is labeled with a visual indication of the composite patient indicator scores, the population score, or both.

2. The method of claim 1, wherein the visual indication graphically illustrates each of the composite patient indicator scores as one of three levels.

3. The method of claim 1, further comprising:

assigning, by the processing circuitry, a staffing level to the healthcare unit of the medical facility based on the population score;

updating, by the processing circuitry via the interface circuitry, the display device to indicate the staffing level of the healthcare unit.

4. The method of claim 3, further comprising:

determining, by the processing circuitry, a patient indicator trend value for each of the plurality of patients and summing the trend values for the first period;

determining, by the processing circuitry, a summed trend value for a second period, after the first period, and comparing the summed trend values of the first period and the second period;

increasing the staffing level if the summed trend value of the second period increases by a threshold amount above the summed trend value of the first period.

5. The method of claim 1, further comprising entering, by the processing circuitry, patient indicators into an electronic medical record and calculating at least one of the composite patient indicator scores from the electronic medical record.

6. The method of claim 1, in which at least five of the patient indicators from Table 1 are used to determine at least one of the composite patient indicator scores.

7. The method of claim 1, wherein determining the composite patient indicator score for each of the plurality of patients comprises:

applying different weights to a scored patient indicator to obtain different candidate composite scores, wherein each of the different weights is based on a different population sample with respect to the patient indicator corresponding to the scored patient indicator;

determining which of the different candidate composite scores is highest;

selecting the highest candidate composite score as the composite patient indicator score.

8. The method of claim 3, wherein:

a maximum staffing level is preconfigured for the healthcare unit;

assigning the staffing level to the healthcare unit based on the population score comprises determining that the population score exceeds a threshold, and in response, assigning the preconfigured maximum staffing level as the staffing level to the healthcare unit.

9. The method of claim 1, further comprising:

determining, from the empirical patient data, a medical service provided by the healthcare unit;

determining one or more Medicare relative value units (RVUs) corresponding to the medical service;

calculating a payment for the medical service based on the Medicare RVUs and the scored patient indicators;

outputting the calculated payment via the interface circuitry.

10. A method implemented in a computing device comprising processing circuitry and interface circuitry communicatively coupled to the processing circuitry, the method comprising:

receiving, by the processing circuitry via the interface circuitry, empirical patient data for a plurality of patients assigned to a healthcare unit of a medical facility;

responsive to detecting a change in the empirical patient data, determining, by the processing circuitry, a composite patient indicator score for each of the plurality of patients for a first period by scoring patient indicators using scores derived from the empirical patient data;

determining, by the processing circuitry, a population score by summing the composite patient indicator scores of the plurality of patients;

updating, by the processing circuitry via the interface circuitry, a display device communicatively coupled to the interface circuitry with;

a map of the medical facility that graphically illustrates a layout of the medical facility; and

a visual representation of a juxtaposition of the healthcare unit relative to the layout of the medical facility;

wherein the visual representation is labeled with a visual indication of each of the composite patient indicator scores as one of three levels.

11. The method of claim 10, further comprising:

assigning, by the processing circuitry, a staffing level to the healthcare unit of the medical facility based on the population score;

updating, by the processing circuitry via the interface circuitry, the display device to indicate the staffing level of the healthcare unit.

12. The method of claim 11, further comprising:

determining, by the processing circuitry, a patient indicator trend value for each of the plurality of patients and summing the trend values for the first period;

determining, by the processing circuitry, a summed trend value for a second period, after the first period, and comparing the summed trend values of the first period and the second period; and

increasing the staffing level if the summed trend value of the second period increases by a threshold amount above the summed trend value of the first period.

13. The method of claim 10, further comprising entering, by the processing circuitry, patient indicators into an electronic medical record and calculating at least one of the composite patient indicator scores from the electronic medical record.

14. The method of claim 10, wherein at least five of the patient indicators from Table 1 are used to determine at least one of the composite patient indicator scores.

15. The method of claim 10, wherein determining the composite patient indicator score for each of the plurality of patients comprises:

applying different weights to a scored patient indicator to obtain different candidate composite scores, wherein each of the different weights is based on a different population sample with respect to the patient indicator corresponding to the scored patient indicator;

determining which of the different candidate composite scores is highest;

selecting the highest candidate composite score as the composite patient indicator score.

16. The method of claim 11, wherein:

a maximum staffing level is preconfigured for the healthcare unit;

assigning the staffing level to the healthcare unit based on the population score comprises determining that the population score exceeds a threshold, and in response, assigning the preconfigured maximum staffing level as the staffing level to the healthcare unit.

17. The method of claim 10, further comprising:

determining, from the empirical patient data, a medical service provided by the healthcare unit;

determining one or more Medicare relative value units (RVUs) corresponding to the medical service;

calculating a payment for the medical service based on the Medicare RVUs and the scored patient indicators;

outputting the calculated payment via the interface circuitry.

18. A method implemented in a computing device comprising processing circuitry and interface circuitry communicatively coupled to the processing circuitry, the method comprising:

receiving, by the processing circuitry via the interface circuitry, empirical patient data for a plurality of patients assigned to a healthcare unit of a medical facility;

responsive to detecting a change in the empirical patient data, determining, by the processing circuitry, a composite patient indicator score for each of the plurality of patients for a first period by scoring patient indicators using scores derived from the empirical patient data and at least five of the patient indicators from Table 1;

determining, by the processing circuitry, a population score by summing the composite patient indicator scores of the plurality of patients;

updating, by the processing circuitry via the interface circuitry, a display device communicatively coupled to the interface circuitry with;

a map of the medical facility that graphically illustrates a layout of the medical facility; and

a visual representation of a juxtaposition of the healthcare unit relative to the layout of the medical facility;

wherein the visual representation is labeled with a visual indication of the composite patient indicator scores, the population score, or both.

19. The method of claim 18, further comprising:

assigning, by the processing circuitry, a staffing level to the healthcare unit of the medical facility based on the population score;

updating, by the processing circuitry via the interface circuitry, the display device to indicate the staffing level of the healthcare unit.

20. The method of claim 19, further comprising:

determining, by the processing circuitry, a patient indicator trend value for each of the plurality of patients and summing the trend values for the first period;

determining, by the processing circuitry, a summed trend value for a second period, after the first period, and comparing the summed trend values of the first period and the second period; and

increasing the staffing level if the summed trend value of the second period increases by a threshold amount above the summed trend value of the first period.

21. The method of claim 18, further comprising entering, by the processing circuitry, patient indicators into an electronic medical record and calculating at least one of the composite patient indicator scores from the electronic medical record.

22. The method of claim 18, wherein determining the composite patient indicator score for each of the plurality of patients comprises:

applying different weights to a scored patient indicator to obtain different candidate composite scores, wherein each of the different weights is based on a different population sample with respect to the patient indicator corresponding to the scored patient indicator;

determining which of the different candidate composite scores is highest;

selecting the highest candidate composite score as the composite patient indicator score.

23. The method of claim 19, wherein:

a maximum staffing level is preconfigured for the healthcare unit;

assigning the staffing level to the healthcare unit based on the population score comprises determining that the population score exceeds a threshold, and in response, assigning the preconfigured maximum staffing level as the staffing level to the healthcare unit.

24. The method of claim 18, further comprising:

determining, from the empirical patient data, a medical service provided by the healthcare unit;

determining one or more Medicare relative value units (RVUs) corresponding to the medical service;

calculating a payment for the medical service based on the Medicare RVUs and the scored patient indicators;

outputting the calculated payment via the interface circuitry.

25. A method implemented in a computing device comprising processing circuitry and interface circuitry communicatively coupled to the processing circuitry, the method comprising:

receiving, by the processing circuitry via the interface circuitry, empirical patient data for a plurality of patients assigned to a healthcare unit of a medical facility;

responsive to detecting a change in the empirical patient data, determining, by the processing circuitry, a composite patient indicator score for each of the plurality of patients for a first period by scoring patient indicators using scores derived from the empirical patient data, wherein determining the composite patient indicator score for each of the plurality of patients comprises;

applying different weights to a scored patient indicator to obtain different candidate composite scores, wherein each of the different weights is based on a different population sample with respect to the patient indicator corresponding to the scored patient indicator;

determining which of the different candidate composite scores is highest;

selecting the highest candidate composite score as the composite patient indicator score;

determining, by the processing circuitry, a population score by summing the composite patient indicator scores of the plurality of patients;

updating, by the processing circuitry via the interface circuitry, a display device communicatively coupled to the interface circuitry with;

a map of the medical facility that graphically illustrates a layout of the medical facility; and

a visual representation of a juxtaposition of the healthcare unit relative to the layout of the medical facility;

wherein the visual representation is labeled with a visual indication of the composite patient indicator scores, the population score, or both.

26. The method of claim 25, further comprising:

assigning, by the processing circuitry, a staffing level to the healthcare unit of the medical facility based on the population score;

updating, by the processing circuitry via the interface circuitry, the display device to indicate the staffing level of the healthcare unit.

27. The method of claim 26, further comprising:

determining, by the processing circuitry, a patient indicator trend value for each of the plurality of patients and summing the trend values for the first period;

determining, by the processing circuitry, a summed trend value for a second period, after the first period, and comparing the summed trend values of the first period and the second period; and

increasing the staffing level if the summed trend value of the second period increases by a threshold amount above the summed trend value of the first period.

28. The method of claim 25, further comprising entering, by the processing circuitry, patient indicators into an electronic medical record and calculating at least one of the composite patient indicator scores from the electronic medical record.

29. The method of claim 26, wherein:

a maximum staffing level is preconfigured for the healthcare unit;

assigning the staffing level to the healthcare unit based on the population score comprises determining that the population score exceeds a threshold, and in response, assigning the preconfigured maximum staffing level as the staffing level to the healthcare unit.

30. The method of claim 25, further comprising:

determining, from the empirical patient data, a medical service provided by the healthcare unit;

determining one or more Medicare relative value units (RVUs) corresponding to the medical service;

calculating a payment for the medical service based on the Medicare RVUs and the scored patient indicators;

outputting the calculated payment via the interface circuitry.

31. A method implemented in a computing device comprising processing circuitry and interface circuitry communicatively coupled to the processing circuitry, the method comprising:

receiving, by the processing circuitry via the interface circuitry, empirical patient data for a plurality of patients assigned to a healthcare unit of a medical facility;

responsive to detecting a change in the empirical patient data, determining, by the processing circuitry, a composite patient indicator score for each of the plurality of patients for a first period by scoring patient indicators using scores derived from the empirical patient data;

determining, by the processing circuitry, a population score by summing the composite patient indicator scores of the plurality of patients;

updating, by the processing circuitry via the interface circuitry, a display device communicatively coupled to the interface circuitry with;

a map of the medical facility that graphically illustrates a layout of the medical facility; and

a visual representation of a juxtaposition of the healthcare unit relative to the layout of the medical facility;

wherein the visual representation is labeled with a visual indication of the composite patient indicator scores, the population score, or both.

32. The method of claim 31, further comprising:

assigning, by the processing circuitry, a staffing level to the healthcare unit of the medical facility based on the population score;

updating, by the processing circuitry via the interface circuitry, the display device to indicate the staffing level of the healthcare unit.

33. The method of claim 32, further comprising:

determining, by the processing circuitry, a patient indicator trend value for each of the plurality of patients and summing the trend values for the first period;

determining, by the processing circuitry, a summed trend value for a second period, after the first period, and comparing the summed trend values of the first period and the second period; and

increasing the staffing level if the summed trend value of the second period increases by a threshold amount above the summed trend value of the first period.

34. The method of claim 31, further comprising entering, by the processing circuitry, patient indicators into an electronic medical record and calculating at least one of the composite patient indicator scores from the electronic medical record.

35. The method of claim 31, further comprising:

determining, from the empirical patient data, a medical service provided by the healthcare unit;

determining one or more Medicare relative value units (RVUs) corresponding to the medical service;

calculating a payment for the medical service based on the Medicare RVUs and the scored patient indicators;

outputting the calculated payment via the interface circuitry.