MEDICAL FACILITY BED AVAILABILITY

• US 20110087502A1
• Filed: 10/13/2010
• Published: 04/14/2011
• Est. Priority Date: 10/14/2009
• Status: Active Grant

• Current Assignee: Children's Hospital & Medical Center
• Original Assignee: Children's Hospital & Medical Center
• Inventors: Ryckman, Frederick, YELTON, PAUL A.
• Granted Patent: US 8,635,088 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• 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 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Abstract

Methods, systems, devices and/or apparatus related to predicting availability of medical facility beds. Specifically, the disclosed methods, systems, devices and/or apparatus relate to determining which beds in the medical facility are available or unavailable at specific time periods (including past, present and/or future time periods).

Claims

1. A system for predicting availability of a plurality of medical facility beds for use by a plurality of medical facility patients, the system being in communication with at least one medical facility patient database configured to store patient data related to at least one of biographical information, medical information and location information for the plurality of medical facility patients, the system comprising:

at least one medical facility bed database configured to store medical facility bed data related to at least one of location information and availability information for the plurality of medical facility beds;

a medical facility patient stay component configured to receive a predicted length of stay data for at least one medical facility patient of the plurality of medical facility patients;

a medical facility bed availability component configured to reserve at least one medical facility bed of the plurality of medical facility beds for the at least one medical facility patient of the plurality of medical facility patients based, at least in part, on the predicted length of stay data for the respective at least one medical facility patient; and

a medical facility bed reporting component configured to output medical facility bed availability information in a table configuration based, at least in part, on the reservations of the medical facility bed availability component, the table configuration representing an availability of each of the plurality of medical facility beds, the table configuration comprising a plurality of rows and a plurality of columns, each of the plurality of rows representing one of a respective medical facility bed or a respective date, and each of the plurality of columns representing the other one of a respective medical facility bed or a respective date.

2. The system of claim 1, wherein the medical facility reporting component is configured to generate a graphical representation of the medical facility bed availability information.

3. The system of claim 2, wherein the graphical representation is transmitted to at least one of a display device and a printing device.

4. The system of claim 1, wherein the medical facility bed reporting component is further configured to display a visual representation of the availability of the plurality of medical facility beds during at least one of a past time period, a present time period and a future time period.

5. The system of claim 1, wherein the medical facility reporting component is further configured to generate a report depicting the medical facility bed availability information.

6. The system of claim 1, wherein the medical facility bed availability information comprises a plurality of attributes, the plurality of attributes relating to the predicted length of stay data.

7. The system of claim 6, wherein each of the plurality of attributes is represented by a respective color.

8. The system of claim 6, wherein the plurality of attributes comprise at least one of a predicted length of stay data is present attribute, a predicted length of stay data is not present attribute, an end of the predicted length of stay is approaching attribute, an end of the predicted length of stay has occurred attribute, and a medical facility patient has been discharged prior to the end of the predicted length of stay attribute.

9. The system of claim 8, wherein the predicted length of stay data is present attribute is represented by a first color, the predicted length of stay data is not present attribute is represented by a second color, an end of the predicted length of stay is approaching attribute is represented by a third color, an end of the predicted length of stay has occurred attribute is represented by a fourth color, and the medical facility patient has been discharged prior to the end of the predicted length of stay attribute is represented by a fifth color.

10. The system of claim 1, further comprising:

a stay prediction component configured to estimate the predicted length of stay data based, at least in part, on historical length of stay data for at least one of the plurality of medical facility patients.

11. The system of claim 1, further comprising an input component configured to receive predicted length of stay data for the at least one medical facility patient from at least one medical practitioner.

12. The system of claim 11, wherein the input component is configured to receive diagnosis data.

13. The system of claim 1, further comprising:

a patient discharge component configured to generate a list of discharge tasks to be completed by at least one medical practitioner prior to discharging the at least one of the medical facility patients.

14. The system of claim 1, wherein the medical information comprises treatment information related to at least one of a disease, an ailment, a diagnosis, a symptom, a complaint, an administered treatment and a proposed treatment.

15. The system of claim 1, further comprising:

an inventory prediction component configured to monitor an amount of stocked medical supplies related to a treatment of each respective one of the plurality of medical facility patients, and further configured to estimate an amount of predicted medical supplies needed to perform the treatment of each respective one of the plurality of medical facility patients.

16. The system of claim 15, wherein the inventory prediction component is further configured to generate a report depicting at least one of the amount of stocked medical supplies and the amount of predicted medical supplies.

17. The system of claim 16, wherein the inventory prediction component is further configured to interface with a third party medical supplies supplier to order additional medical supplies.

18. The system of claim 1, further comprising:

an artificial intelligence component configured to generate the predicted length of stay data based, at least in part, on a knowledge base that associates historical patient stay data with other historical data.

19. The system of claim 18, wherein the other historical data comprises at least one of patient medical history, patient insurance data, historical disease/ailment data, historical treatment data, historical length of stay data and historical recovery time data.

20. One or more non-transitory computer memory devices including computer readable instructions for controlling a computerized system to perform a method of predicting availability of a plurality of medical facility beds, the instructions comprising the steps of:

receiving data related to a predicted length of stay of at least one of a plurality of medical facility patients;

allocating at least one non-allocated medical facility bed to each of the plurality of medical facility patients based, at least in part, on the received data; and

generating a report based, at least in part, on the allocating of the non-allocated medical facility beds, the report comprising a table having a plurality of rows and a plurality of columns, each of the plurality of rows representing a respective medical facility bed and each of the plurality of columns representing a respective date, the table representing an availability of each of the plurality of medical facility beds.

21. One or more Web servers including the non-transitory memory devices of claim 20.

22. One or more non-transitory computer memory devices including computer readable instructions for controlling a computerized system to perform a method of predicting availability of a plurality of medical facility beds, the instructions comprising the steps of:

receiving predicted length of stay data related to a first patient and a second patient;

storing the predicted length of stay data in at least one patient database;

reserving, for a first future time period, a first bed for a first patient, provided the first bed has not been previously reserved during at least a portion of the first future time period, the first future time period being associated with the predicted length of stay data related to the first patient;

reserving, for a second future time period, a second bed for a second patient, provided the second bed has not been previously reserved during at least a portion of the second future time period, the second future time period being associated with the predicted length of stay data related to the second patient; and

generating a report based, at least in part, on the reserving of the first bed and the reserving of the second bed, the report comprising a table having at least two rows and a plurality of columns, each of the plurality of columns representing a respective date, wherein a first row of the at least two rows represents the first bed and a second row of the at least two rows represents the second bed, the table representing an availability of each of the first bed and the second bed.

23. The one or more non-transitory computer memory devices of claim 22, wherein the computer readable instructions further comprise the steps of:

generating predicted length of stay data related to at least one of a first patient and a second patient based, at least in part, on a knowledge base that associates historical patient stay data related to at least one of the first patient and the second patient with other historical data.

24. The one or more non-transitory computer memory devices of claim 23, wherein the other historical data comprises at least one of patient medical history, patient insurance data, historical disease/ailment data, historical treatment data, historical length of stay data and historical recovery time data.