Patient safety using virtual observation
Methods, systems, and computer-readable media are provided for improving patient safety using virtual observation. A falls risk assessment and a patient safety risk assessment are initially provided within an electronic health record of a patient. A clinician is prompted at a clinician device to provide input to the falls risk assessment and the patient safety risk assessment for the patient. Based on the input, a safety assessment score is determined for the patient. The safety assessment score is provided to the clinician via the clinician device and the clinician is prompted to initiate an order to place a camera in the room of the patient. Based on the order, a virtual sitter may be assigned to the patient to monitor the camera.
1 . A computer-implemented method performed by one or more hardware processors, the computer-implemented method comprising:
determining based on a machine-learning electronic model to present a falls risk assessment (a) on a clinician device, (b) for clinical input comprising falls-risk assessment information (c) in order to include the falls-risk assessment information as an update in an electronic health record (EHR) of a patient,
wherein:
the machine-learning electronic model is trained by inputting, to the machine-learning electronic model, information corresponding to instances of medical information indicating patient assignment to a virtual sitter, and
determining to present the falls risk assessment comprises applying, to the machine-learning electronic model, an instance of medical information associated with the patient;
after determining to present the falls risk assessment, causing presentation of a prompt at the clinician device for the clinical input comprising the falls-risk assessment information;
based on the clinical input:
(i) storing the falls-risk assessment information for the patient to the EHR; and
(ii) initiating generation of an order to assign processor based virtual sitter technology,
wherein the order is associated with activation of a processor coupled camera in a patient room, and wherein a virtual sitter device is processor based and configured to electronically monitor electronic signal information associated with the processor coupled camera from a location remote to the processor coupled camera and electronically communicate an update associated with falls assessment information corresponding to the patient based on the monitoring;
subsequent to assigning the processor based virtual sitter technology, electronically receiving the update for the patient from the virtual sitter device, the update for the patient from the virtual sitter device corresponding to the information and to data associated with operation of the processor coupled camera after the assignment of the processor based virtual sitter technology; and
in response at least to receiving the update for the patient from the virtual sitter devices, (a) determining via the one or more hardware processors whether or not to continue the processor based virtual sitter technology based on the update and (b) continuing the processor based virtual sitter technology based on the update.
2 . The computer-implemented method of claim 1 , further comprising causing presentation of a first prompt at a virtual observation interface of the virtual sitter device for entry of patient documentation via the virtual observation interface.
3 . The computer-implemented method of claim 1 , further comprising:
causing presentation of a first prompt at a virtual observation interface of the virtual sitter device for entry of patient documentation via the virtual observation interface; and
utilizing the machine-learning electronic model to determine whether a second prompt should be presented on the clinician device for instructions on whether to continue or discontinue the processor based virtual sitter technology for the patient.
4 . The computer-implemented method of claim 1 , further comprising, in response to receiving documentation corresponding to patient behavior from the virtual sitter via a virtual observation interface, initiating prompting at the clinician device on whether to continue or discontinue the virtual sitter for the patient.
5 . The computer-implemented method of claim 1 , further comprising causing provision of a virtual observation interface configured to enable a virtual observer to document patient activity, patient behavior, interventions, and interventions comments.
6 . The computer-implemented method of claim 1 , further comprising causing provision of a virtual observation interface that is (a) integrated with one or more health care applications corresponding to the patient and (b) configured to enable the virtual sitter to communicate: alerts and notifications corresponding to the patient to the clinician device, secure messages with the patient or the clinician device, and images and charts of the patient.
7 . The computer-implemented method of claim 1 , wherein generating the order corresponds to information associated with the EHR being determined as similar to information associated with other assignments of processor based virtual sitter technology, and wherein the determination to continue the processor based virtual sitter technology indicates that information associated with the update is determined to be similar to information associated with EHRs of other virtual sitter technology continuances.
8 . One or more non-transitory media having computer-readable instructions that, when executed by one or more hardware processors, cause the one or more hardware processors to perform a plurality of operations, the operations comprising:
determining based on a machine-learning electronic model to present a falls risk assessment (a) on a clinician device, (b) for clinical input comprising falls-risk assessment information (c) in order to include the falls-risk assessment information as an update in an electronic health record (EHR) of a patient,
wherein:
the machine-learning electronic model is trained by inputting, to the machine-learning electronic model, information corresponding to instances of medical information indicating patient assignment to a virtual sitter, and
determining to present the falls risk assessment comprises applying, to the machine-learning electronic model, an instance of medical information associated with the patient;
after determining to present the falls risk assessment, causing presentation of a prompt at the clinician device for the clinical input comprising the falls-risk assessment information;
based on the clinical input:
(i) storing the falls-risk assessment information for the patient to the EHR; and
(ii) initiating generation of an order to assign processor based virtual sitter technology,
wherein the order is associated with activation of a processor coupled camera in a patient room, and wherein a virtual sitter device is processor based and configured to electronically monitor electronic signal information associated with the processor coupled camera from a location remote to the processor coupled camera and electronically communicate an update associated with falls assessment information corresponding to the patient based on the monitoring;
subsequent to assigning the processor based virtual sitter technology, electronically receiving the update for the patient from the virtual sitter device, the update for the patient from the virtual sitter device corresponding to the information and to data associated with operation of the processor coupled camera after the assignment of the processor based virtual sitter technology; and
in response at least to receiving the update for the patient from the virtual sitter devices, (a) determining via the one or more hardware processors whether or not to continue the processor based virtual sitter technology based on the update and (b) continuing the processor based virtual sitter technology based on the update.
9 . The one or more non-transitory media of claim 8 , wherein the operations further comprise causing presentation of a first prompt at a virtual observation interface of the virtual sitter device for entry of patient documentation via the virtual observation interface.
10 . The one or more non-transitory media of claim 8 , wherein the operations further comprise:
causing presentation of a first prompt at a virtual observation interface of the virtual sitter device for entry of patient documentation via the virtual observation interface; and
utilizing the machine-learning electronic model to determine whether a second prompt should be presented on the clinician device for instructions on whether to continue or discontinue the processor based virtual sitter technology for the patient.
11 . The one or more non-transitory media of claim 8 , wherein the operations further comprise, in response to receiving documentation corresponding to patient behavior from the virtual sitter via a virtual observation interface, initiating prompting at the clinician device on whether to continue or discontinue the virtual sitter for the patient.
12 . The one or more non-transitory media of claim 8 , wherein the operations further comprise causing provision of a virtual observation interface configured to enable a virtual observer to document patient activity, patient behavior, interventions, and interventions comments.
13 . The one or more non-transitory media of claim 8 , wherein the operations further comprise causing provision of a virtual observation interface that is (a) integrated with one or more health care applications corresponding to the patient and (b) configured to enable the virtual sitter to communicate: alerts and notifications corresponding to the patient to the clinician device, secure messages with the patient or the clinician device, and images and charts of the patient.
14 . The one or more non-transitory media of claim 8 , wherein generating the order corresponds to information associated with the EHR being determined as similar to information associated with other assignments of virtual sitter technology, and wherein the determination to continue the processor based virtual sitter technology indicates that information associated with the update is determined to be similar to information associated with EHRs of other virtual sitter technology continuances.
15 . A system having one or more hardware processors configured to perform a plurality of operations, the operations comprising:
determining based on a machine-learning electronic model to present a falls risk assessment (a) on a clinician device, (b) for clinical input comprising falls-risk assessment information (c) in order to include the falls-risk assessment information as an update in an electronic health record (EHR) of a patient,
wherein:
the machine-learning electronic model is trained by inputting, to the machine-learning electronic model, information corresponding to instances of medical information indicating patient assignment to a virtual sitter, and
determining to present the falls risk assessment comprises applying, to the machine-learning electronic model, an instance of medical information associated with the patient;
after determining to present the falls risk assessment, causing presentation of a prompt at the clinician device for the clinical input comprising the falls-risk assessment information;
based on the clinical input:
(i) storing the falls-risk assessment information for the patient to the EHR; and
(ii) initiating generation of an order to assign processor based virtual sitter technology,
wherein the order is associated with activation of a processor coupled camera in a patient room, and wherein a virtual sitter device is processor based and configured to electronically monitor electronic signal information associated with the processor coupled camera from a location remote to the processor coupled camera and electronically communicate an update associated with falls assessment information corresponding to the patient based on the monitoring;
subsequent to assigning the processor based virtual sitter technology, electronically receiving the update for the patient from the virtual sitter device, the update for the patient from the virtual sitter device corresponding to the information and to data associated with operation of the processor coupled camera after the assignment of the processor based virtual sitter technology; and
in response at least to receiving the update for the patient from the virtual sitter device, (a) determining via the one or more hardware processors whether or not to continue the processor based virtual sitter technology based on the update and (b) continuing the processor based virtual sitter technology based on the update.
16 . The system of claim 15 , wherein the operations further comprise causing presentation of a first prompt at a virtual observation interface of the virtual sitter device for entry of patient documentation via the virtual observation interface.
17 . The system of claim 15 , wherein the operations further comprise;
causing presentation of a first prompt at a virtual observation interface of the virtual sitter device for entry of patient documentation via the virtual observation interface; and
utilizing the machine-learning electronic model to determine whether a second prompt should be presented on the clinician device for instructions on whether to continue or discontinue the processor based virtual sitter technology for the patient.
18 . The system of claim 15 , wherein the operations further comprise, in response to receiving documentation corresponding to patient behavior from the virtual sitter via a virtual observation interface, initiating prompting at the clinician device on whether to continue or discontinue the virtual sitter for the patient.
19 . The system of claim 15 , wherein the operations further comprise causing provision of a virtual observation interface configured to enable a virtual observer to document patient activity, patient behavior, interventions, and interventions comments, and wherein the virtual observation interface is integrated with one or more health care applications corresponding to the patient and is further configured to enable the virtual sitter to communicate: alerts and notifications corresponding to the patient to the clinician device, secure messages with the patient or the clinician device, and images and charts of the patient.
20 . The system of claim 15 , wherein generating the order corresponds to information associated with the EHR being determined as similar to information associated with other assignments of virtual sitter technology, and wherein the determination to continue the processor based virtual sitter technology indicates that information associated with the update is determined to be similar to information associated with EHRs of other virtual sitter technology continuances.