Medical facility bed availability

• US 8,635,088 B2
• Filed: 10/13/2010
• Issued: 01/21/2014
• Est. Priority Date: 10/14/2009
• Status: Expired due to Fees

• Current Assignee: Children's Hospital & Medical Center
• Original Assignee: Cincinnati Children's Hospital Medical Center (University of Cincinnati)
• Inventors: Yelton, Paul A., Ryckman, Frederick C.
• Primary Examiner(s): Fuelling, Michael
• Application Number:
  US12/903,288
• Publication Number:
  US 20110087502A1
• Time in Patent Office: 1,196 Days
• Field of Search: 705/3
• 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. 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:

generating a predicted length of stay data related to a first patient and a second patient based on a knowledge base that associates historical patient stay data related to the first patient and the second patient with other historical data;

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

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 information of each of the first bed and the second bed; and

,

wherein the other historical data comprises patient medical history, patient insurance data, historical disease/ailment data, historical treatment data, historical length of stay data and historical recovery time data.

2. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, further comprising:

displaying a visual representation of the availability of at least the first bed and the second bed during at least one of a past time period, a present time period and a future time period.

3. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, wherein

an input component is configured to receive the predicted length of stay data from at least one medical practitioner.

4. The one or more non-transitory computer memory devices of claim 3, including computer readable instructions for controlling a computerized system, wherein

the predicted length of stay data for the first patient and the second patient may be determined by a medical practitioner after a diagnosis of the respective medical facility patient;

and

wherein the diagnosis is based on at least one of subjective factors, and at least one of objective factors.

5. The one or more non-transitory computer memory devices of claim 3, including computer readable instructions for controlling a computerized system, wherein the input component is configured to receive diagnosis data.

6. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, further comprising:

generating a list of discharge tasks to be completed by at least one medical practitioner prior to discharging the first patient or the second patient.

7. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, wherein:

an artificial intelligence component is configured to generate the predicted length of stay data based.

8. The one or more non-transitory memory devices of claim 1, including computer readable instructions for controlling a computerized system, wherein the memory devices are located on one more Web servers.

9. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, wherein:

the patient database is configured to store patient data related to at least one of biographical information, medical information and location information of the first patient or the second patient.

10. The one or more non-transitory computer memory devices of claim 9, including computer readable instructions for controlling a computerized system, 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.

11. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, further comprising:

storing in at least one medical facility bed database, data related to at least one of location information, reservation information, and availability information for at least the first bed and the second bed.

12. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, wherein:

the report is transmitted to at least one of a display device and a printing device.

13. The one or more non-transitory computer memory devices of claim 1, including computer readable instructions for controlling a computerized system, wherein the predicted length of stay data comprises a plurality of attributes relating to the medical facility bed availability information.

14. The one or more non-transitory computer memory devices of claim 13, including computer readable instructions for controlling a computerized system, wherein each of the plurality of attributes is represented by a respective color.

15. The one or more non-transitory computer memory devices of claim 13, including computer readable instructions for controlling a computerized system, 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.

16. The one or more non-transitory computer memory devices of claim 15, including computer readable instructions for controlling a computerized system, 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.