公开(公告)号：US20230306545A1

公开(公告)日：2023-09-28

申请号：US17656342

申请日：2022-03-24

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： FRANCESCA SCHULER ,  CHAD ESPLIN ,  BRIAN PUGH ,  TRENT J. MILLER ,  STEVEN D. TINE ,  PIETRO RUSSO

IPC: G06Q50/26

CPC classification number: G06Q50/26

Abstract: Technical methods, devices, and systems disclosed herein provide a predictive case-solvability score service. The predictive case-solvability score service generates case solvability scores for cases, detects events that signal those scores should be updated, updates a machine-learning model over time to ensure current trends in recent data are reflected, and identifies specific actions to recommend for increasing those scores. Furthermore, the predictive case-solvability score service provides an interface that allows users to perceive trends in case-solvability scores over time and to execute some of the specific recommended actions.

公开(公告)号：US20210191963A1

公开(公告)日：2021-06-24

申请号：US16719275

申请日：2019-12-18

Applicant: Motorola Solutions, Inc.

Inventor： BRADY WALTON ,  JEFFREY OAKES ,  ZILI LI ,  CHAD ESPLIN ,  CURTIS PORTER

IPC: G06F16/34 ,  G06Q50/26 ,  G06F16/31

Abstract: A system for automated review of public safety incident reports include receiving structured incident data for an incident report from a submitting public safety officer including incident type information for the incident, receiving unstructured incident narrative text describing the incident, accessing an unstructured incident narrative feedback checking model applicable to incidents of the incident type, applying the model to the narrative text in light of supplemental information in the structured incident data or obtained from another source, identifying, by application of the model, matters in the narrative text likely to be flagged for correction by a human reviewer during a subsequent review, and providing feedback notifying the officer of the identified matters. The model may be retrained based on feedback or corrections provided by the officer in response to the notification of the identified matters or in response to requests for correction subsequently received from human reviewers.