Computer process for modeling flow of patients through hospital units

• US 7,480,629 B2
• Filed: 03/29/2001
• Issued: 01/20/2009
• Est. Priority Date: 03/29/2000
• Status: Active Grant

• Current Assignee: GE Medical Systems Information Technologies Incorporated (General Electric Company)
• Original Assignee: GE Medical Systems Information Technologies Incorporated (General Electric Company)
• Inventors: Larsen, Edward R., Dashefsky, Michael S.
• Primary Examiner(s): Poinvil; Frantzy
• Assistant Examiner(s): GRAHAM, CLEMENT B
• Application Number:
  US09/821,774
• Publication Number:
  US 20020107769A1
• Time in Patent Office: 2,854 Days
• Field of Search: 705/2, 705/38, 705/29, 705/28, 705/400, 705/35, 705/34, 705/37, 705/36, 705/26, 364/400, 364/436, 364/439, 340/910
• US Class Current: 705/35
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

A method of assessing patient flow through a hospital is disclosed. Through the collection of data regarding hospital statistics, a model can be built. Also, an hourly cost can be assigned to each care unit of the hospital for each patient. The model can be used to simulate the flow of patients through the hospital. Additionally, the model can be used to estimate a cost savings that would result from a purchase of patient monitoring equipment, or other resource changes.

Claims

1. A method of assessing patient flow through care units of a hospital using a computer having a microprocessor comprising:

electronically collecting a set of hospital data for each care unit of a hospital, the set of hospital data including;

a set of hospital statistics, wherein the set of hospital statistics includes inventory of beds and monitored beds, average occupancy of each unit average patient length of stay, number of health care personnel, health care personnel to patient ratio, patient acuity range patient transports, admission sources and frequency, and discharge sources and frequency and a set of hospital macro data, wherein the set of hospital macro data includes average e number of admissions, source of admissions frequency of admittance, average number of discharges, frequency of discharge, average overall stay in hospital average number of emergency department visits and percentage visits and percentage admitted, average occupancy and length of stay and average cost per admission;

electronically assigning an hourly cost to each care unit per patient including costs associated with doctor time, nurse time staffing drugs, IV and equipment based upon the set of collected hospital data;

electronically building a model based upon the collected set of hospital data and the assigned hourly cost for each care patient wherein building a model includes building a multi-level model of the hospital care units, describing each unit in terms of numbers of monitored beds and other resources and average length of stay, and further describing each care unit by the percentage of patients going to other care units;

simulating the flow of patients through the hospital using the model, wherein the simulating step utilizes the collected set of hospital data for each care unit per patient by at an admission start, describing the number of patients to be admitted per unit time and the length of time to run the model; and

changes recommending hospital resource changes using the model and the results of the simulating step.

2. The method of claim 1, wherein each care unit is a hospital department.

3. The method of claim 1, further comprising using the model to estimate a cost savings that results from a purchase of patient monitoring equipment.

4. The method of claim 1, further comprising identifying a bottleneck in the flow of patients through the hospital.

5. The method of claim 1, wherein collecting data further comprises locating patients through a patient locating system.

6. The method of claim 1, wherein collecting data is done in real-time.

7. The method of claim 6, wherein collecting real-time data comprises using a patient locating system.

8. The method of claim 6, wherein collecting real-time data comprises using an equipment locating system.

9. The method of claim 6, wherein collecting real-time data comprises using an Admission Discharge Transmission System.

10. The method of claim 6, wherein collecting real-time data comprises using a point of care system.

11. The method of claim 1, further comprising predicting a bottleneck in the flow of patients through the hospital through the use of the model.

12. The method of claim 1, wherein the set of collected hospital data comprises data regarding average patient length of stay in a care unit.

13. The method of claim 1, further comprising determining alternative patient flow routes based upon optimizing efficiency of the hospital.

14. The method of claim 1, further comprising determining resource utilization based upon the model.

15. A computer implemented system for modeling patient flow through care units of a hospital comprising:

a collection module configured to accept a set of hospital data, the set of hospital data including a set of hospital statistics, wherein the set of hospital statistics includes inventory of beds and monitored beds, average occupancy of each unit average patient length of stay, number of health care personnel, health care personnel to patient ratio;

patient acuity range, patient transports, admission sources and frequency, and discharge sources and frequency and a set of hospital macro data wherein the set of hospital macro data includes average number of admissions source of admission frequency of admittance, average number of discharges, frequency of discharge average overall stay in hospital average number of emergency patient visits and percentage admitted, average and length of stay, and average cost per admission;

an assignment module configured to assign an hourly cost to each unit per patient for patient including costs associated with doctor time, nurse time staffing, drugs, IV, and equipment based upon the set of collected hospital data;

a model module configured to build a model of the flow of patients through the hospital, the model based upon the set of collected hospital data and the assigned hourly cost for each care unit per patient wherein building a model includes building a multi\-level model of the hospital care units, describing each unit in terms of numbers of monitored beds and other resources and average length of stay, and further describing each care unit by the percentage of patients going to other care units;

a simulation module configured to simulate the flow of patients through the hospital, wherein the simulation module utilizes the set of hospital data for each care unit per patient by, at an admission start˜

describing the number of patients to be admitted per unit time and the length of time to run the model; and

a resource module configured to determine a resource utilization of the hospital by utilizing the model and the output of the simulation module.

16. The system of claim 15, further comprising an estimation module configured to estimate a cost savings that would result from a purchase of patient monitoring equipment.

17. The system of claim 15, further comprising a prediction module configured to predict a bottleneck in the flow of patients.

18. The system of claim 15, further comprising an identification module configured to identify a bottleneck in the flow of patients.

19. The system of claim 15, wherein the collection module is further configured to collect real-time hospital statistics.

20. The system of claim 15, wherein the care units include at least the following hospital departments:

Admitting, Intensive Care Unit, Surgery and Discharge.