Assigning clinician status by predicting resource consumption
Subject matter described herein is related to assigning a healthcare clinician to provide care to a patient. This disclosure describes tracking the location of a healthcare clinician. Based on the tracking, a resource-consumption score for a patient is generated. The resource-consumption score is used to predict whether a clinician has the capacity to be assigned to the patient. The clinician is assigned to patients based on predicted capacity.
1. Non-transitory computer storage media storing computer-executable instructions that, when executed by at least one processor, facilitate a method of assigning clinician resources, the method comprising:
generating presence-event items by detecting a signal transmitter at a location using a signal receiver, the signal transmitter associated with a unique identifier of a first clinician, wherein a presence-event item includes a time value and a location;
determining a clinician-location metric based on the time value and the location of the presence-event items, the clinician-location metric comprising an average time duration for the first clinician in a patient space;
generating a resource-consumption score for a patient based on two or more types of non-clinical information associated with the patient, wherein the two or more types of non-clinical information comprise clinician-location information, wherein the clinician-location information upon which the resource-consumption score is based comprises the clinician-location metric, and wherein the resource-consumption score comprises a quantified measure of resource intensiveness that indicates an amount of resources required by the patient when providing care to the patient; and
based on the resource-consumption score, assigning a second clinician to the patient.
2. The media of claim 1 , wherein the presence-event items are generated using a plurality of signal receivers detecting various locations of the signal transmitter, the plurality of signal receivers positioned throughout the various locations within a healthcare facility.
3. The media of claim 2 , wherein the signal transmitter is a radio frequency identification (RFID) tag.
4. The media of claim 3 , wherein the plurality of signal receivers comprises RFID tag readers.
5. The media of claim 1 , further comprising providing the presence-event items at a client terminal.
6. The media of claim 1 , wherein the resource-consumption score indicates a relative amount of resources expended on the patient.
7. The media of claim 1 , further comprising assigning a plurality of patients to the second clinician and providing the assigned plurality of patients to the second clinician as a list, wherein the list is provided at the startup of an application associated with a communication computing device of the second clinician.
8. The media of claim 7 , further comprising providing an event notification of the assigned plurality of patients to a datastore.
9. The media of claim 1 , wherein the resource-consumption score comprises a workload score that includes non-clinical information and an acuity score quantifying a level of difficulty of care of the patient.
10. A method of assigning clinician resources, the method comprising:
determining a clinician-location metric of a first clinician based on time values and locations of presence-event items, the clinician-location metric comprising an average time duration for the first clinician in a patient space, wherein the presence-event items are generated based on detecting a signal transmitter at a location using a signal receiver, the signal transmitter associated with a unique identifier of the first clinician;
generating a resource-consumption score for a patient based on one or more types of non-clinical information associated with the patient, wherein the one or more types of non-clinical information associated with the patient comprise clinician-location information, wherein the clinician-location information upon which the resource-consumption score is based comprises the clinician-location metric, and wherein the resource-consumption score comprises a quantified measure of resource intensiveness that indicates an amount of resources required by the patient when providing care to the patient; and
assigning a second clinician to the patient based on the resource-consumption score for the patient and other resource-consumption scores for other patients assigned to the second clinician.
11. The method of claim 10 , wherein the signal transmitter is a radio frequency identification (RFID) tag and the signal receiver is an RFID tag reader.
12. The method of claim 10 , wherein the presence-event items are generated using a plurality of signal receivers detecting various locations of the signal transmitter, the plurality of signal receivers positioned throughout the various locations within a healthcare facility.
13. The method of claim 10 , further comprising providing the presence-event items at a client terminal.
14. The method of claim 10 , wherein the resource-consumption score indicates a relative amount of resources expended on the patient, and wherein the resource-consumption score comprises a workload score that includes non-clinical information and an acuity score quantifying a level of difficulty of care of the patient.
15. The method of claim 10 , further comprising providing an indication of the assignment to the second clinician at the startup of an application associated with a communication computing device of the second clinician.
16. The method of claim 15 , further comprising providing an event notification of the assignment to a datastore.
17. A system comprising a processor and computer storage media storing computer-executable instructions that, when executed by the processor, facilitate a method of assigning clinician resources, the method comprising:
generating presence-event items by detecting a radio frequency identification (RFID) tag at a location using an RFID tag reader, the RFID tag associated with a unique identifier of a first clinician, wherein a presence-event item includes a time value and a location;
determining a clinician-location metric of the first clinician based on the presence-event items;
generating a resource-consumption score for a patient based on two or more types of non-clinical information associated with the patient, wherein the two or more types of non-clinical information associated with the patient comprise clinician-location information, wherein the clinician-location information upon which the resource-consumption score is based comprises the clinician-location metric, and
wherein the resource-consumption score comprises a quantified measure of resource intensiveness that indicates an amount of resources required by the patient when providing care to the patient; and
assigning a second clinician to the patient based on the resource-consumption score for the patient and other resource consumption scores for other patients assigned to the second clinician.
18. The system of claim 17 , wherein the presence-event items are generated using a plurality of RFID tag readers detecting various locations of the RFID tag, the plurality of RFID tag readers positioned throughout the various locations within a healthcare facility.
19. The system of claim 17 , further comprising providing an indication of the assignment to the second clinician at the startup of an application associated with a communication computing device of the second clinician.
20. The system of claim 17 , wherein the resource-consumption score indicates a relative amount of resources expended on the patient.