Systems and methods for surfacing contextually relevant content into the workflow of a third party system via a distributed architecture
Systems and methods for surfacing contextually relevant data into the workflow of a third party system are discussed herein. The system implements a near-real-time method of detecting activity corresponding to particular electronic health records associated with particular patients in third-party systems using specifically configured software systems. A cloud-based micro-services architecture is communicably coupled to the third-party systems and is operable to transmit contextually relevant data to the third-party system in response to particular detected activities, such as accessing a patient's electronic health record. The contextually-relevant data is identified by comparing electronic health record data from various third-party systems, each third-party system associated with the particular patient, to determine gaps in the records. The contextually relevant data is transmitted to the third-party system and visually integrated into the third-party system's pre-existing clinical workflow..
Medienart: |
Patent |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Europäisches Patentamt - (2024) vom: 26. März Zur Gesamtaufnahme - year:2024 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
CONNELY IV ROBERT EMMITT [VerfasserIn] |
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Links: |
Volltext [kostenfrei] |
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Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2024-03-26, Last update posted on www.tib.eu: 2024-04-17, Last updated: 2024-04-26 |
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Patentnummer: |
US11942197 |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
EPA003322408 |
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520 | |a Systems and methods for surfacing contextually relevant data into the workflow of a third party system are discussed herein. The system implements a near-real-time method of detecting activity corresponding to particular electronic health records associated with particular patients in third-party systems using specifically configured software systems. A cloud-based micro-services architecture is communicably coupled to the third-party systems and is operable to transmit contextually relevant data to the third-party system in response to particular detected activities, such as accessing a patient's electronic health record. The contextually-relevant data is identified by comparing electronic health record data from various third-party systems, each third-party system associated with the particular patient, to determine gaps in the records. The contextually relevant data is transmitted to the third-party system and visually integrated into the third-party system's pre-existing clinical workflow. | ||
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