Providing notifications to authorized users
A method and system for initiating message listening and routing message content to authorized user devices is disclosed. For a second user device to receive notifications regarding records of a first user, the second user device provides information identifying the first user to a notification service. The notification service verifies the identifying information. The notification service initiates one or more listeners to listen for messages flowing over a messaging bus that are relating to the first user. Once a message is identified, at least a portion of the message is used to generate a notification that may be sent to the second user device.
1 . A system to route medical message content from a plurality of different sources for access by a plurality of different endpoint devices, the system comprising:
one or more network interfaces;
memory configured to store computer-executable instructions; and
one or more servers comprising one or more processing devices in communication with the memory and in communication with a messaging bus that provides subscriptions to published messages and is communicably couplable with electronic devices, where at least some of the electronic devices are configured to generate medical messages to be published via the messaging bus, and where the one or more processing devices are configured to execute the computer-executable instructions to perform operations comprising, for each patient of a plurality of patients:
creating a patient flow for the patient, the patient flow including events associated with treatment of the patient at a healthcare facility, wherein creating the patient flow for the patient is performed in response to registering the patient with the healthcare facility;
initiating a bus listener specific to the patient in a notification service in network communication with the messaging bus, the bus listener configured to track progress of the patient through the events of the patient flow;
subscribing the patient-specific bus listener to the messaging bus to monitor for messages published to the messaging bus pertaining to the patient;
monitoring, via the patient-specific bus listener, for messages generated in response to one or more of the events in the patient flow of the patient, wherein the messages are generated based at least in part on the events, and the messages are published via the messaging bus, where at least some of the messages are the medical messages;
identifying, via the patient-specific bus listener, a subset of the messages as associated with the based at least in part on analyzing content of the subset of the messages for a particularized identifier associated with the patient, wherein the identifying the subset of the messages comprises:
receiving, via the patient-specific bus listener, a notification of a first event specified for the particularized identifier based at least in part on identifying a first message that corresponds to the first event specified for the particularized identifier; and
identifying one or more subsequent messages that are generated subsequently to generation of the first message and that correspond to the first event specified for the particularized identifier;
determining an estimated time of completion for the first event specified for the particularized identifier;
based at least in part on the monitoring, determining a first time value corresponding to a status of the first event;
determining that the first time value exceeds a first threshold time value corresponding to the first event; and
in response to the determining that the first time value exceeds the estimated time of completion:
identifying a first identifier corresponding to a first recipient for a first notification corresponding to the first event and the first time value, the first recipient corresponding to a first endpoint of a plurality of different endpoints;
identifying a first notification method selected from a plurality of notification methods for transmission of the first notification based at least in part on a first set of rules that are machine-learned and specific to the first recipient, wherein the first notification method uses an unsecured communication channel;
generating the first notification in accordance with the first notification method selected from the plurality of notification methods;
modifying the first message with a first set of modification operations, the modifying comprising processing the first message to comply with regulations limiting health information exchanged using unsecured communication channels and selecting at least a portion of the first message for transmission with the first notification; and
causing transmission of the first notification and the at least a portion of the first message to the first endpoint via the unsecured communication channel, the first notification corresponding to the first event and the first time value in accordance with the first notification method;
receiving, via the patient-specific bus listener, a notification of a second event specified for the particularized identifier based at least in part on identifying a second message that corresponds to the second event specified for the particularized identifier; and
determining an estimated time of completion for the second event specified for the particularized identifier;
based at least in part on the monitoring, determining a second time value corresponding to a status of the second event;
determining that the second time value exceeds a second threshold time value corresponding to the second event; and
in response to the determining that the second time value exceeds the estimated time of completion:
identifying a second identifier corresponding to a second recipient for a second notification corresponding to the second event and the time value, the second recipient corresponding to a second endpoint of a plurality of different endpoints;
identifying a second notification method selected from a plurality of notification methods for transmission of the second notification based at least in part on a second set of rules that are machine-learned and specific to the second recipient, wherein the second notification method uses a secured communication channel;
generating the second notification in accordance with the second notification method selected from the plurality of notification methods;
modifying the second notification with a second set of modification operations, the modifying comprising processing the second notification to determine at least a portion of the second message for transmission with the second notification, wherein the second set of modification operations differs from the first set of modification operations at least in that protected health information is not removed from the portion of the second message;
causing transmission of the second notification and the at least a portion of the second message to the second endpoint via the unsecured communication channel, the second notification corresponding to the second event and the second time value in accordance with the second notification method.
2 . The system of claim 1 , wherein the bus listener includes at least one logical or physical separation from the notification service to prevent personal health information (PHI) from being shared in the notification.
3 . The system of claim 2 , wherein the bus listener is configured to only read de-identified information from the messaging bus.
4 . The system as recited in claim 1 , wherein the notification describes at least one aspect of a medical message of the subset of the messages.
5 . The system as recited in claim 1 , wherein the first set of rules comprises notification rules that are machine-learned and specific to the first recipient.
6 . The system as recited in claim 5 , wherein the notification is based at least in part on a role of the first recipient.
7 . The system as recited in claim 1 , wherein the identifying the subset of the messages further comprises:
receiving, via the bus listener, a notification of a second event specified for the particularized identifier based at least in part on identifying a second message that corresponds to the second event specified for the particularized identifier; and
identifying one or more additional messages that are generated subsequently to generation of the second message and that correspond to the second event specified for the particularized identifier.
8 . The system as recited in claim 7 , the operations further comprising:
generating a second notification in accordance with a second notification method selected from the plurality of notification methods; and
causing transmission of the second notification corresponding to the second event in accordance with the second notification method.
9 . The system as recited in claim 8 , the operations further comprising:
determining an estimated time of completion for the second event specified for the particularized identifier;
wherein the second notification indicating the estimated time of completion for the second event specified for the particularized identifier.
10 . The system as recited in claim 1 , the operations further comprising:
receiving electronic inputs including entity data that is for a single member of a network and relates to a diagnostic procedure performed on the member;
querying a database of trigger data for a trigger value demarking a threshold for determining whether to provide a procedure;
determining whether the entity data includes data relevant to the trigger value;
comparing the entity data to the trigger value to determine whether the entity data for the member indicates a potential procedure need; and
identifying the member for the potential procedure.
11 . The system as recited in claim 1 , the operations further comprising:
maintaining at least one entity requirement associated with a user;
receiving a request to present information to the user;
determining, based at least in part on the received request, at least one entity datum relevant to the user;
formatting the at least one entity datum in accordance with the at least one entity requirement; and
presenting, on a display device, the formatted entity datum to the user.
12 . The system as recited in claim 1 , the operations further comprising:
accessing a set of authorized user profiles corresponding to a set of authorized users;
segmenting the set of authorized user profiles into a set of segments based on one or more search inputs;
for at least one segment of the set of segments, assigning each authorized user profile of the least one segment to one of a plurality of category buckets based on a predefined categorization rule;
within each category bucket of the plurality of category buckets, randomizing authorized user profiles to define a random set of authorized user profiles within each category bucket; and
generating a list of authorized user profiles comprising the random sets of authorized user profiles from the plurality of category buckets.
13 . The system as recited in claim 1 , the operations further comprising:
collecting historical interaction data identifying historical interactions of a provider with sets of decision support elements presented to the provider, the historical interactions performed as part of treating a set of patients;
collecting historical experience data identifying experience events of the provider with respect to experience pertaining to treating a set of conditions;
storing the historical interaction data and the historical experience data in connection with a provider profile;
receiving a request to access the provider profile; and
providing data about the provider profile in response to the request.
14 . The system as recited in claim 1 , the operations further comprising:
receiving first data associated with an electronic medical record for a patient, wherein the first data comprises an order for administration of a medication for a patient;
receiving second data associated with the electronic medical record for the patient; and
aggregating the first data and the second data to determine whether at least a portion of the medication was diverted from the patient.
15 . One or more non-transitory, processor-readable media storing processor-executable instructions that, when executed by one or more processing devices, cause the one or more processing devices to perform operations to route medical message content from a plurality of different sources for access by a plurality of different endpoint devices, the operations comprising, for each of a plurality of patients:
creating a patient flow for the patient, the patient flow including events associated with treatment of the patient at a healthcare facility, wherein creating the patient flow for the patient is performed in response to registering the patient with the medical facility;
initiating a bus listener specific to the patient in a notification service in network communication with a messaging bus that provides subscriptions to published messages, the patient-specific bus listener configured to track progress of the patient through the events of the patient flow;
subscribing the patient-specific bus listener to the messaging bus to monitor for messages published to the messaging bus pertaining to the patient;
monitoring, by the patient-specific bus listener, for messages generated in response to the events in the patient flow of the patient, wherein the messages are generated based at least in part on the events, and the messages are transmitted via the messaging bus, where at least some of the messages are the medical messages; and
identifying, via the patient-specific bus listener, a subset of the messages as associated with the patient based at least in part on analyzing content of the subset of the messages for a particularized identifier associated with the patient, wherein the identifying the subset of the messages comprises:
receiving, via the patient-specific bus listener, a notification of a first event specified for the particularized identifier based at least in part on identifying a first message that corresponds to the first event specified for the particularized identifier; and
identifying one or more subsequent messages that are generated subsequently to generation of the first message and that correspond to the first event specified for the particularized identifier;
determining an estimated time of completion for the first event specified for the particularized identifier;
based at least in part on the monitoring, determining a first time value corresponding to a status of the first event;
determining that the first time value exceeds a first threshold time value corresponding to the first event; and
in response to the determining that the first time value exceeds the first threshold time value:
identifying a first identifier corresponding to a first recipient for a first notification corresponding to the first event and the first time value, the first recipient corresponding to a first endpoint of a plurality of different endpoints;
identifying a first notification method selected from a plurality of notification methods for transmission of the first notification based at least in part on a first set of rules that are machine-learned and specific to the first recipient, wherein the first notification method uses an unsecured communication channel;
generating the first notification in accordance with the first notification method selected from the plurality of notification methods;
modifying the first message with a first set of modification operations, the modifying comprising processing the first message to comply with regulations limiting health information exchanged using unsecured communication channels and selecting at least a portion of the first message for transmission with the first notification; and
causing transmission of the first notification and the at least a portion of the first message to the first endpoint via the unsecured communication channel, the first notification corresponding to the first event and the first time value in accordance with the first notification method;
receiving, via the patient-specific bus listener, a notification of a second event specified for the particularized identifier based at least in part on identifying a second message that corresponds to the second event specified for the particularized identifier; and
determining an estimated time of completion for the second event specified for the particularized identifier;
based at least in part on the monitoring, determining a second time value corresponding to a status of the second event;
determining that the second time value exceeds a second threshold time value corresponding to the second event; and
in response to the determining that the second time value exceeds the estimated time of completion:
identifying a second identifier corresponding to a second recipient for a second notification corresponding to the second event and the time value, the second recipient corresponding to a second endpoint of a plurality of different endpoints;
identifying a second notification method selected from a plurality of notification methods for transmission of the second notification based at least in part on a second set of rules that are machine-learned and specific to the second recipient, wherein the second notification method uses a secured communication channel;
generating the second notification in accordance with the second notification method selected from the plurality of notification methods;
modifying the second notification with a second set of modification operations, the modifying comprising processing the second notification to determine at least a portion of the second message for transmission with the second notification, wherein the second set of modification operations differs from the first set of modification operations at least in that protected health information is not removed from the portion of the second message;
causing transmission of the second notification and the at least a portion of the second message to the second endpoint via the unsecured communication channel, the second notification corresponding to the second event and the second time value in accordance with the second notification method.
16 . The one or more non-transitory, processor-readable media as recited in claim 15 , wherein the notification describes at least one aspect of a medical message of the subset of the messages.
17 . The one or more non-transitory, processor-readable media as recited in claim 15 , wherein the first set of rules comprises notification rules that are machine-learned and specific to the first recipient.
18 . The one or more non-transitory, processor-readable media as recited in claim 17 , wherein the notification is based at least in part on a role of the first recipient.
19 . The one or more non-transitory, processor-readable media as recited in claim 15 , wherein the identifying the subset of the messages further comprises:
receiving, via the bus listener, a notification of a second event specified for the particularized identifier based at least in part on identifying a second message that corresponds to the second event specified for the particularized identifier; and
identifying one or more additional messages that are generated subsequently to generation of the second message and that correspond to the second event specified for the particularized identifier.
20 . The one or more non-transitory, processor-readable media as recited in claim 19 , the operations further comprising:
generating a second notification in accordance with a second notification method selected from the plurality of notification methods; and
causing transmission of the second notification corresponding to the second event in accordance with the second notification method.
21 . The one or more non-transitory, processor-readable media as recited in claim 19 , the operations further comprising:
determining an estimated time of completion for the second event specified for the particularized identifier;
wherein the second notification indicating the estimated time of completion for the second event specified for the particularized identifier.
22 . A method to route medical message content from a plurality of different sources for access by a plurality of different endpoint devices comprising:
for each of a plurality of patients:
creating a patient flow for a patient, the patient flow including events associated with treatment of the patient at a healthcare facility, wherein creating the patient flow for the patient is performed in response to registering the patient with the healthcare facility;
initiating a bus listener specific to the patient in a notification service in network communication with a messaging bus that provides subscriptions to published messages, the bus listener configured to track progress of the patient through the events of the patient flow;
subscribing the bus listener to the messaging bus to monitor for messages published to the messaging bus pertaining to the patient;
monitoring, by the bus listener, for messages generated in response to the events in the patient flow of the patient, wherein the messages are generated based at least in part on the events, and the messages are transmitted via the messaging bus, where at least some of the messages are the medical messages; and
identifying, via the bus listener, a subset of the messages as associated with the patient based at least in part on analyzing content of the subset of the messages for a particularized identifier associated with the patient, wherein the identifying the subset of the messages comprises:
receiving, via the bus listener, a notification of a first event specified for the particularized identifier based at least in part on identifying a first message that corresponds to the first event specified for the particularized identifier; and
identifying one or more subsequent messages that are generated subsequently to generation of the first message and that correspond to the first event specified for the particularized identifier;
determining an estimated time of completion for the first event specified for the particularized identifier;
based at least in part on the monitoring, determining a first time value corresponding to a status of the first event;
determining that the first time value exceeds a first threshold time value corresponding to the first event; and
in response to the determining that the first time value exceeds the first threshold time value:
identifying a first identifier corresponding to a first recipient for a first notification corresponding to the first event and the first time value, the first recipient corresponding to a first endpoint of a plurality of different endpoints;
identifying a first notification method selected from a plurality of notification methods for transmission of the first notification based at least in part on a first set of rules that are machine-learned and specific to the first recipient, wherein the first notification method uses an unsecured communication channel;
generating the first notification in accordance with the first notification method selected from the plurality of notification methods;
modifying the first message with a first set of modification operations, the modifying comprising processing the first nmessage to comply with regulations limiting health information exchanged using unsecured communication channels and selecting at least a portion of the first message for transmission with the first notification; and
causing transmission of the first notification and the at least a portion of the first message to the first endpoint via the unsecured communication channel, the first notification corresponding to the first event and the first time value in accordance with the first notification method;
receiving, via the patient-specific bus listener, a notification of a second event specified for the particularized identifier based at least in part on identifying a second message that corresponds to the second event specified for the particularized identifier; and
determining an estimated time of completion for the second event specified for the particularized identifier;
based at least in part on the monitoring, determining a second time value corresponding to a status of the second event;
determining that the second time value exceeds a second threshold time value corresponding to the second event; and
in response to the determining that the second time value exceeds the estimated time of completion:
identifying a second identifier corresponding to a second recipient for a second notification corresponding to the second event and the time value, the second recipient corresponding to a second endpoint of a plurality of different endpoints;
identifying a second notification method selected from a plurality of notification methods for transmission of the second notification based at least in part on a second set of rules that are machine-learned and specific to the second recipient, wherein the second notification method uses a secured communication channel;
generating the second notification in accordance with the second notification method selected from the plurality of notification methods;
modifying the second notification with a second set of modification operations, the modifying comprising processing the second notification to determine at least a portion of the second message for transmission with the second notification, wherein the second set of modification operations differs from the first set of modification operations at least in that protected health information is not removed from the portion of the second message;
causing transmission of the second notification and the at least a portion of the second message to the second endpoint via the unsecured communication channel, the second notification corresponding to the second event and the second time value in accordance with the second notification method.