TRACKING SYSTEM FOR HEALTHCARE FACILITIES

• US 20130124227A1
• Filed: 11/13/2012
• Published: 05/16/2013
• Est. Priority Date: 11/15/2011
• Status: Abandoned Application

• Current Assignee: Precision Dynamics Corporation (Brady Corporation)
• Original Assignee: Precision Dynamics Corporation (Brady Corporation)
• Inventors: Ellis, Rick
• Application Number:
  US13/675,839
• Publication Number:
  US 20130124227A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• 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 40/67 for remote operation

Abstract

A location/tracking system for use in hospitals and similar healthcare facilities is based upon a “last seen” location for patients, clinicians, or high value equipment. The system uses portal readers to determine when and where an item to be tracked passes through a portal, bed or exam chair mounted proximity reader to determine when and how long an item is proximate to a reader in order to determine when and for how long the item is proximate to a particular task area. Real time tracking and retrospective analysis of transaction data enables locating an item to be tracked and allows higher level analysis of the transaction data to determine metrics for “time to test”, “time to treatment”, and similar statistics.

Claims

1. A process for performing asset tracking in a patient care environment, comprising the steps of:

receiving a plurality of data elements from a tracking system in the patient care environment, each data element having a reader identification code corresponding to one of a plurality of readers, a tag identification code corresponding to an identification tag attached to one of a plurality of assets and read by one of the readers, and a timestamp corresponding to a time that the identification tag was read by the reader;

storing interaction records in an electronic database wherein each interaction record corresponds to one or more of the plurality of data elements received from the tracking system;

generating a plurality of interaction sequence plans, each interaction sequence plan including a defined time period and an expected sequence of interactions between assets in the patient care environment during the defined time period; and

performing an analysis for each interaction sequence plan, the analysis comprising the steps of;

searching the database;

identifying interaction records in the database having timestamps within the defined time period and identification data corresponding to one or more of the assets;

comparing the identified interaction records with the expected sequence of interactions; and

generating a metric based upon the comparison of the identified interaction records with the expected sequence of interactions.

2. The method of claim 1, wherein the defined time period includes a maximum time period and an expected time period, the expected time period falling within and being shorter in duration than the maximum time period, and wherein the searching and identifying steps are performed over the maximum time period such that interaction records are identified that are outside of the expected time period.

3. The method of claim 1, wherein the analysis further comprises the step of assembling a temporal sequence of the identified interaction records before comparing them with the expected sequence of interactions.

4. The method of claim 3, wherein the metric is based upon how closely the temporal sequence of the identified interaction records matches the expected sequence of interactions.

5. The method of claim 1, further comprising the step of performing a retrospective analysis on metrics generated for a plurality of interaction sequence plans.

6. The method of claim 1, further comprising the step of continuously storing input data records in the electronic database, each input data record containing one of the data elements.

7. The method of claim 6, wherein each interaction record corresponds to one or more input data records and at least some interaction records correspond to more than one input data record.

8. The method of claim 6, wherein each interaction record is one of the input data records.

9. The method of claim 1, wherein the plurality of interaction sequence plans are generated based upon an alert from patient monitoring equipment.

10. The method of claim 1, wherein the tracking system is a real-time tracking system.

11. A system for performing asset tracking in a patient care environment, comprising:

a computer processor and electronic database connected to a network, wherein the computer processor includes a data capture module configured to track assets in the patient care environment and a data analysis module configured to analyze a plurality of interaction sequence plans;

the data capture module programmed to receive a plurality of data elements from a tracking system in the patient care environment, each data element having a reader identification code corresponding to one of a plurality of readers, a tag identification code corresponding to an identification tag attached to one of a plurality of assets and read by one of the readers, and a timestamp corresponding to a time that the identification tag was read by the reader; and

to store interaction records in the electronic database wherein each interaction record corresponds to one or more of the plurality of data elements received from the tracking system; and

the data analysis module programmed to generate a plurality of interaction sequence plans, each interaction sequence plan including a defined time period and an expected sequence of interactions between assets in the patient care environment during the defined time period;

to search the database and to identify interaction records in the database having timestamps within the defined time period and identification data corresponding to one or more of the assets;

to compare the identified interaction records with the expected sequence of interactions; and

to generate a metric based upon the comparison of the identified interaction records with the expected sequence of interactions.

12. The system of claim 11, wherein the defined time period includes a maximum time period and an expected time period, the expected time period falling within and being shorter in duration than the maximum time period, and wherein the data analysis module is programmed to search the database and identify interaction records having timestamps within the maximum time period such that interaction records are identified that are outside of the expected time period.

13. The system of claim 11, wherein the data analysis module is further programmed to assemble a temporal sequence of the identified interaction records before comparing them with the expected sequence of interactions.

14. The system of claim 13, wherein the metric is based upon how closely the temporal sequence of the identified interaction records matches the expected sequence of interactions.

15. The system of claim 11, wherein the data analysis module is further programmed to perform a retrospective analysis on metrics generated for a plurality of interaction sequence plans.

16. The system of claim 11, wherein the data capture module is further programmed to continuously store input data records in the electronic database, each input data record containing one of the data elements.

17. The system of claim 16, wherein each interaction record corresponds to one or more input data records and at least some interaction records correspond to more than one input data record.

18. The system of claim 16, wherein each interaction record is one of the input data records.

19. The system of claim 11, wherein the tracking system comprises a plurality of readers distributed throughout the patient care environment, the plurality of readers linked to the network, and a plurality of identification tags attached to the assets in the patient care environment.

20. The system of claim 11, wherein the computer processor is configured to receive an alert from patient monitoring equipment.

21. The system of claim 20, wherein the plurality of interaction sequence plans are generated based upon the alert from the patient monitoring equipment.

22. The system of claim 11, wherein the tracking system is a real-time tracking system.

23. A non-transitory computer readable medium having stored thereon computer executable instructions for performing asset tracking in a patient care environment, the instructions comprising the steps of:

receiving a plurality of data elements from a tracking system in the patient care environment, each data element having a reader identification code corresponding to one of a plurality of readers, a tag identification code corresponding to an identification tag attached to one of a plurality of assets and read by one of the readers, and a timestamp corresponding to a time that the identification tag was read by the reader;

storing interaction records in an electronic database wherein each interaction record corresponds to one or more of the plurality of data elements received from the tracking system;

generating a plurality of interaction sequence plans, each interaction sequence plan including a defined time period and an expected sequence of interactions between assets in the patient care environment during the defined time period; and

performing an analysis for each interaction sequence plan, the analysis comprising the steps of;

searching the database;

identifying interaction records in the database having timestamps within the defined time period and identification data corresponding to one or more of the assets;

comparing the identified interaction records with the expected sequence of interactions; and

generating a metric based upon the comparison of the identified interaction records with the expected sequence of interactions.