WO2023115208A1 - Procédé et système d'évaluation de risques liés aux environnements de travail - Google Patents

Procédé et système d'évaluation de risques liés aux environnements de travail Download PDF

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Publication number
WO2023115208A1
WO2023115208A1 PCT/CA2022/051869 CA2022051869W WO2023115208A1 WO 2023115208 A1 WO2023115208 A1 WO 2023115208A1 CA 2022051869 W CA2022051869 W CA 2022051869W WO 2023115208 A1 WO2023115208 A1 WO 2023115208A1
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Prior art keywords
total
hazards
score
user
hazard
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PCT/CA2022/051869
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English (en)
Inventor
Margaret Kim ADOLPHE
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Swift Learning Inc.
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Publication of WO2023115208A1 publication Critical patent/WO2023115208A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/105—Human resources
    • G06Q10/1057—Benefits or employee welfare, e.g. insurance, holiday or retirement packages

Definitions

  • the present disclosure relates generally to workplace safety and hazard assessment and risk awareness, and in particular, to method and system for assessing and mitigating workplace risks and hazards.
  • Hazards in the workplace occur when the working environment can cause injury, illness or death.
  • the hazards can result from various aspects of the working environment, including chemical hazards, physical hazards, biological hazards and ergonomic hazards.
  • approaches that have been used for identifying workplace hazards and assessing risk in the workplace.
  • a computer network system for assessing workplace risks and hazards
  • the computer network system comprising: one or more server computers coupled to one or more client computing devices via a network; the one or more server computers configured for: receiving user input data of risk and hazard evaluation, the user input data of risk and hazard evaluation comprising user evaluations of a plurality of predefined hazards; receiving user input data of personal wellness evaluations; calculating a total hazard score by combining the user evaluations of the plurality of predefined hazards; calculating a total wellness score based on the user input data of personal wellness evaluation; determining a compounding factor by comparing the total wellness score with one or more compounding thresholds; calculating a total combined score as a multiplication of the total hazard score and the compounding factor; determining a risk level by comparing the total combined score with one or more risk thresholds; and providing one or more recommendations for mitigation of the workplace risks and hazards.
  • a method for assessing workplace risks and hazards comprising: receiving user input data of risk and hazard evaluation, the user input data of risk and hazard evaluation comprising user evaluations of a plurality of predefined hazards; receiving user input data of personal wellness evaluations; calculating a total hazard score by combining the user evaluations of the plurality of predefined hazards; calculating a total wellness score based on the user input data of personal wellness evaluation; determining a compounding factor by comparing the total wellness score with one or more compounding thresholds; calculating a total combined score as a multiplication of the total hazard score and the compounding factor; determining a risk level by comparing the total combined score with one or more risk thresholds; and providing one or more recommendations for mitigation of the workplace risks and hazards.
  • the user input data of risk and hazard evaluation further comprise user evaluations of one or more user- customized hazards; and said calculating the total hazard score comprises: calculating the total hazard score by combining the user evaluations of the plurality of predefined hazards and the user evaluations of one or more user-customized hazards.
  • the computer network system further comprises one or more sensors for hazard detection; the one or more server computers further configured for: receiving sensor data with respect to the hazard detection; and said calculating the total hazard score comprises: calculating the total hazard score by combining the user evaluations of the plurality of predefined hazards, the user evaluations of one or more user-customized hazards, and the received sensor data.
  • the one or more sensors comprise one or more of: chemical sensors, acoustic sensors, computer-vision sensors, and sensors for measuring and/or collecting biometric data.
  • the personal wellness evaluations comprise user selected values from a predefined value range for each of a plurality of predefined personal wellness questions.
  • the predefined personal wellness questions comprise one or more of questions related to: mental fitness-for-work, alertness, sleep, distraction, alcohol- or drug-impairment, language, hunger, dehydration, travel time, stress, fatigue, jet-lag, shift pattern, anxieties of personal life, despair, comfort, confidence, selfassessed ability, training, accident history, peer-pressure, asking for help, pressure to complete work, and support.
  • the one or more recommendations for mitigation comprise at least one online learning course.
  • the one or more server computers are configured for providing access to one or more external resources based on the user input data of personal wellness evaluations.
  • the one or more server computers are configured for providing one or more requirements for mitigation when one or more of the total hazard score, the total wellness score, the total combined score, and the risk level reach a predetermined threshold.
  • one or more of the total hazard score, the total wellness score, the one or more compounding thresholds, the one or more risk thresholds, and the one or more recommendations for mitigation are evaluated and/or adjusted based on historical data.
  • FIG. 1 is a schematic diagram of a computer network system for assessing workplace risks and hazards, according to some embodiments of the present disclosure
  • FIG. 2 is a schematic diagram showing a simplified hardware structure of a computing device of the computer network system shown in FIG. 1 ;
  • FIG. 3 a schematic diagram showing a simplified software architecture of a computing device of the computer network system shown in FIG. 1 ;
  • FIG. 4 is a schematic diagram showing the software structure of the computer network system shown in FIG. 1 ;
  • FIG. 5 shows the detail of the assessment module of the software structure shown in FIG. 4 and the data flow thereof;
  • FIG. 6 is a flowchart showing a process performed by the computer network system shown in FIG. 1 for a user to conduct a workplace risk and hazard assessment;
  • FIGs. 7A to 7L show screenshots produced and displayed during performance of the process shown in FIG. 7.
  • Embodiments disclosed herein relate to a computer network system deployed in a workplace for assessing workplace risks and hazards.
  • the computer network system may form a cloud-based digital system and comprise the measurement and calculation of components relating to individualized factors which may impact the overall workplace risk with reduced or eliminated subjective bias.
  • the measured and calculated components comprise selfassessed personal wellness components, self-assessed workplace human factors components, and work environment hazards.
  • Self-assessed personal wellness components comprise the components that are specific to a user or worker at the time of assessment and independent of the workplace and duties, such as mental fitness-for-work, alertness, sleep, distraction, alcohol- or drug-impairment components, language, hunger, dehydration, travel time, stress, fatigue, jet-lag, shift pattern, anxieties of personal life, despair, and/or the like.
  • Self-assessed workplace human factors components comprise the components that relate to how the worker is engaged and tasked at the workplace such as comfort, confidence, self-assessed ability, training, accident history, peer-pressure, asking for help, pressures to complete work, support, and/or the like.
  • Work environment hazards comprise the risks associated with the workplace and independent of the individual worker such as time-of-day, day-of-week, time-of-year, slips-trips-falls risks, mechanical hazards, biological hazards, chemical hazards, ergonomic, hazards related to airborne viruses, location, travel, animals, other people, weather, and/or the like.
  • the system disclosed herein allows a user to conduct workplace risks and hazards self-assessments and an anonymous personal wellness (psychosocial) selfassessment in a confidential manner to allow the user to provide honest responses.
  • the system provides personal recommendations and/or reports based on the user’s workplace risks and hazards self-assessments according to industry job and hazards standards, thereby supporting and empowering the user as a worker or employee to stay safe.
  • the individual recommendations/report may include or encompass opportunities to optimize the user’s neurocognitive health and brain function in addition to training, and resources such as the crisis support line, nutrition, lifestyle, fitness, therapies, and/or the like.
  • the system may also provide corporate reports to the employer of the user could having employee/employer comparisons, identification or lagging indicators, overall job safety, employee satisfaction, communication, and mitigation including training, team building and/or other recommendations.
  • personal wellness is measured by questions and selfreported responses on the worker’s computing device such as a smartphone, a tablet, and/or the like.
  • the personal wellness measurement may comprise a mental alertness challenge or game, a reaction time test, a mental challenge, an auditory challenge, a visual challenge, an eye-tracking, a screen tracing dexterity challenge or for example, BRAIN GAUGE® (BRAIN GAUGE is a registered trademark owned by Cortical Metrics LLC for a cognitive assessment tool available from: https://www.corticalmetrics.com/).
  • the personal wellness measurement may also comprise mental health questions relate to job satisfaction, culture, ability to communicate, and/or the like.
  • the human factors and the work environment risk level are calculated based on the worker completing and inputting the self-assessment questionnaire, and then selecting from a list of hazards typically found at a workplace in different hazard categories. If the worker identifies a hazard which is not listed, they are encouraged to input a custom hazard and then, are presented with questions regarding the severity and a likelihood of occurrence of the custom hazard.
  • the system may store user inputs in a database, and the backend management and reporting modules of the system may incorporate an artificial intelligence (Al) model and use machine learning (ML) to analyze leading and lagging hazard indicators to better manage Health and Safety (HSE) in workplace settings.
  • Al artificial intelligence
  • ML machine learning
  • HSE Health and Safety
  • FIG. 1 a computer network system deployed in a workplace for assessing workplace risks and hazards is shown and is generally identified using reference numeral 100.
  • the computer network system 100 comprises one or more server computers 102 and a plurality of client computing devices 104 functionally interconnected by a network 108, such as the Internet, a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), and/or the like, via suitable wired and wireless networking connections.
  • LAN local area network
  • WAN wide area network
  • MAN metropolitan area network
  • the server computers 102 may be computing devices designed specifically for use as a server, and/or general-purpose computing devices acting as server computers while also being used by various users. Each server computer 102 may execute one or more server programs.
  • the client computing devices 104 may be portable and/or non-portable computing devices such as laptop computers, tablets, smartphones, Personal Digital Assistants (PDAs), desktop computers, and/or the like. Each client computing devices 104 may execute one or more client application programs which sometimes may be called “apps”.
  • apps client application programs
  • the computing devices 102 and 104 have a similar hardware structure such as a hardware structure 120 shown in FIG. 2.
  • the computing device 102/104 comprises a processing structure 122, a controlling structure 124, one or more non-transitory computer-readable memory or storage devices 126, a network interface 128, an input interface 130, and an output interface 132, functionally interconnected by a system bus 138.
  • the computing device 102/104 may also comprise other components 134 coupled to the system bus 138.
  • the processing structure 122 may be one or more single-core or multiple-core computing processors such as INTEL® microprocessors (INTEL is a registered trademark of Intel Corp., Santa Clara, CA, USA), AMD® microprocessors (AMD is a registered trademark of Advanced Micro Devices Inc., Sunnyvale, CA, USA), ARM® microprocessors (ARM is a registered trademark of Arm Ltd., Cambridge, UK) manufactured by a variety of manufactures such as Qualcomm of San Diego, California, USA, under the ARM® architecture, or the like.
  • INTEL® microprocessors INTEL is a registered trademark of Intel Corp., Santa Clara, CA, USA
  • AMD® microprocessors AMD is a registered trademark of Advanced Micro Devices Inc., Sunnyvale, CA, USA
  • ARM® microprocessors ARM is a registered trademark of Arm Ltd., Cambridge, UK manufactured by a variety of manufactures such as Qualcomm of San Diego, California, USA, under the ARM® architecture, or the like.
  • the controlling structure 124 comprises one or more controlling circuits, such as graphic controllers, input/output chipsets, and the like, for coordinating operations of various hardware components and modules of the computing device 102/104.
  • controlling circuits such as graphic controllers, input/output chipsets, and the like, for coordinating operations of various hardware components and modules of the computing device 102/104.
  • the memory 126 comprises one or more storage devices or media accessible by the processing structure 122 and the controlling structure 124 for reading and/or storing instructions for the processing structure 122 to execute, and for reading and/or storing data, including input data and data generated by the processing structure 122 and the controlling structure 124.
  • the memory 126 may be volatile and/or non-volatile, nonremovable or removable memory such as RAM, ROM, EEPROM, solid-state memory, hard disks, CD, DVD, flash memory, or the like.
  • the network interface 128 comprises one or more network modules for connecting to other computing devices or networks through the network 108 by using suitable wired or wireless communication technologies such as Ethernet, WI-FI® (WI-FI is a registered trademark of Wi-Fi Alliance, Austin, TX, USA), BLUETOOTH® (BLUETOOTH is a registered trademark of Bluetooth Sig Inc., Kirkland, WA, USA), Bluetooth Low Energy (BLE), Z-Wave, Long Range (LoRa), ZIGBEE® (ZIGBEE is a registered trademark of ZigBee Alliance Corp., San Ramon, CA, USA), wireless broadband communication technologies such as Global System for Mobile Communications (GSM), Code Division Multiple Access (CDMA), Universal Mobile Telecommunications System (UMTS), Worldwide Interoperability for Microwave Access (WiMAX), CDMA2000, Long Term Evolution (LTE), 3GPP, 5G New Radio (5G NR) and/or other 5G networks, and/or the like.
  • wired or wireless communication technologies such as Ethernet, WI-FI® (WI-
  • the input interface 130 comprises one or more input modules for one or more users to input data via, for example, touch-sensitive screens, touch-sensitive whiteboards, touch-pads, keyboards, computer mice, trackballs, microphones, scanners, cameras, and/or the like.
  • the input interface 130 may be a physically integrated part of the computing device 102/104 (for example, the touch-pad of a laptop computer or the touch-sensitive screen of a tablet), or may be a device physically separate from but functionally coupled to, other components of the computing device 102/104 (for example, a computer mouse).
  • the input interface 130 in some implementation, may be integrated with a display output to form a touch-sensitive screen or a touch-sensitive whiteboard.
  • the output interface 132 comprises one or more output modules for output data to a user.
  • the output modules comprise displays (such as monitors, LCD displays, LED displays, projectors, and the like), speakers, printers, virtual reality (VR) headsets, augmented reality (AR) goggles, and/or the like.
  • the output interface 132 may be a physically integrated part of the computing device 102/104 (for example, the display of a laptop computer or tablet), or may be a device physically separate from but functionally coupled to other components of the computing device 102/104 (for example, the monitor of a desktop computer).
  • the computing device 102/104 may also comprise other components 134 such as one or more positioning modules, temperature sensors, barometers, inertial measurement units (IMU), and/or the like.
  • the positioning modules may be one or more global navigation satellite system (GNSS) components (for example, one or more components for operation with the Global Positioning System (GPS) of USA, Global'naya Navigatsionnaya Sputnikovaya Sistema (GLONASS) of Russia, the Galileo positioning system of the European Union, and/or the Beidou system of China).
  • GNSS global navigation satellite system
  • the system bus 138 interconnects various components 122 to 134 enabling them to transmit and receive data and control signals to and from each other.
  • FIG. 3 shows a simplified software architecture 160 of the computing device 102 or 104.
  • the software architecture 160 comprises an application layer 162, an operating system 166, a logical input/output (I/O) interface 168, and a logical memory 172.
  • the application layer 162 comprises one or more application programs 164 executed by or performed by the processing structure 122 for performing various tasks.
  • the operating system 166 manages various hardware components of the computing device 102/104 via the logical I/O interface 168, manages the logical memory 172, and manages and supports the application programs 164.
  • the operating system 166 is also in communication with other computing devices (not shown) via the network 108 to allow the application programs 164 to communicate with programs running on other computing devices.
  • the operating system 166 may be any suitable operating system such as MICROSOFT® WINDOWS® (MICROSOFT and WINDOWS are registered trademarks of the Microsoft Corp., Redmond, WA, USA), APPLE® OS X, APPLE® iOS (APPLE is a registered trademark of Apple Inc., Cupertino, CA, USA), Linux, ANDROID® (ANDROID is a registered trademark of Google Inc., Mountain View, CA, USA), or the like.
  • the computing devices 102/104 of the computer network system 100 may all have the same operating system, or may have different operating systems.
  • the logical I/O interface 168 comprises one or more device drivers 170 for communicating with respective input and output interfaces 130 and 132 for receiving data therefrom and sending data thereto. Received data may be sent to the application layer 162 for being processed by one or more application programs 164. Data generated by the application programs 164 may be sent to the logical I/O interface 168 for outputting to various output devices (via the output interface 132).
  • the logical memory 172 is a logical mapping of the physical memory 126 for facilitating the application programs 164 to access.
  • an application program 164 may load data from the storage memory area into the working memory area, and may store data generated during its execution into the working memory area.
  • the application program 164 may also store some data into the storage memory area as required or in response to a user’s command.
  • the application layer 162, operating system 166, and logical I/O interface 168 are generally implemented as computer-executable instructions or code in the form of software programs or firmware programs stored in the logical memory 172 which may be executed by the processing structure 122.
  • the application layer 162 generally comprises one or more server-side application programs 164 which provide(s) server functions for managing network communication with client computing devices 104 and facilitating collaboration between the server computer 102 and the client computing devices 104.
  • server may refer to a server computer 102 from a hardware point of view, or to a logical server from a software point of view, depending on the context.
  • FIG. 4 is a schematic diagram showing the software structure 200 of the computer network system 100.
  • modules of the software structure 200 may be implemented as application programs 164 shown in FIG. 3.
  • each client computing device 104 comprises an app 202 running thereon for communicating with various software modules running on the server computer 102 for hazard risk assessment.
  • the app 202 may be an Android®, iOS® or web-based app.
  • the server computer 102 comprises an authentication server 206, a dynamiccontent server 208, a learning-management subsystem and e-learning library 210, a database server 212, and an assessment module 214.
  • the server computer 102 may also comprise a hazard risk import interface.
  • the authentication server 206 is used for verifying a user’s identity and generating an authorization token when the user logs-in to the system 100.
  • the authentication server 206 is a NodeJS server which is an open- source, cross-platform, back-end JavaScript server developed by OpenJS Foundation of San Francisco, California, USA.
  • the dynamic-content server 208 is used for storing and retrieving dynamic content such as user-input data.
  • the dynamic-content server 208 may be a Backend-as-a- Service (BaaS) server such as a FIREBASE® server developed by developed by Google Inc., Mountain View, CA, USA (FIREBASE is a trademarked owned by Google LLC).
  • BaaS Backend-as-a- Service
  • the learning management subsystem, and e-learning library 210 provide online training courses such as workers’ rights and responsibilities, workplace bullying related to users’ personal wellness assessment, industry-specific training courses related to hazard assessment such as ladder safety, and the like.
  • the database server 212 is used for scalable and secure data collection and storage for providing extensive reporting capabilities.
  • the database server 212 may be SQL database servers running on the AZURE® platform provided by Microsoft Corp., Redmond, WA, USA (AZURE is a trademark owned by Microsoft Corp.), and may comprise one or more virtual SQL database servers for one or more organizations.
  • the assessment module 214 is used for assessing risks and hazards in a plurality of workplace environments.
  • FIG. 5 shows the detail of the assessment module 214 and the data flow thereof.
  • the assessment module 214 is in communication with the apps 202 of the client computing devices 104 to receive (i) user input data of risk and hazard evaluation 222 from the apps 202, and (ii) user input data of personal wellness evaluation 224.
  • the hazard risk import interface is used for importing one or more hazard risk matrixes that are used by the assessment module 214 for assessing risks and hazards.
  • the assessment module 214 calculates the risk and hazard assessment results 228 which may be output to the apps 202 for users to use and to the database server 212 for storage.
  • the assessment module 214 asks the user to identify one or more predefined work-environment hazards in their environment.
  • Work environment hazards are the risks associated with the workplace and are independent of the individual worker.
  • Work environment hazards may include slips-trips- falls risks, mechanical hazards, biological hazards, chemical hazards, ergonomic hazards, COVID or other virus-related hazards, location, travel, animals, other people, weather, and/or the like.
  • the assessment module 214 may provide a list of predefined hazards according to industry standards and in compliance with Health and Safety (HSE) regulations in different regions and various company practices. The predefined hazards may be customized based on its intended use. When the assessment module 214 collects user evaluation of the hazards, the assessment module 214 may also collect time-of-day, day-of-week, and/or time-of-year related to user evaluation of the hazards.
  • HSE Health and Safety
  • Each predefined hazard has a predefined risk-value range for example, between 1 and 16.
  • the user may select one or more hazards (denoted “user-selected hazards”) from the list of predefined hazards. Based on the user selection, the assessment module 214 calculates a first total risk value for the user-selected hazards as the summation of the risk values of the user-selected hazards.
  • the predefined hazards and predefined risk-value ranges may be imported into the server computer 102 from a pre-existing hazard matrix.
  • the assessment module 214 may also include one or more controls related to the predefined hazards. For example, when a user selects a predefined hazard that may include a control, the user may be asked to input whether one or more controls are in place. If an appropriate control is not in place, the user may be provided with educational information regarding the use of the control. Data around whether controls are used may be tracked and/or reported. Controls may include temporary and/or permanent ways to control a hazard, including elimination, substitution, engineering controls, administrative controls, and personal protective equipment. For example, when there is a hazard of extreme cold, controls may include winter clothing, policies, travel advisory notifications, and/or frequent breaks.
  • the assessment module 214 also allows the users to enter other hazards not included in the list of predefined hazards (also denoted “customized hazards”).
  • Each customized hazard is associated with an evaluation matrix and allows the user to input a severity within a range between for example, 1 and 4, and input a likelihood within a range between for example, 1 and 5. Both the severity range and the likelihood range may be between 1 and X, wherein X is 2 or greater.
  • the assessment module 214 calculates a risk value for each customized hazard by multiplying the severity and the likelihood thereof. The assessment module 214 then calculates a second total risk value for the customized hazards as the summation of the risk values of the customized hazards.
  • the assessment module 214 sums the first and second total risk values to obtain a total hazard score. In some embodiments, if the total custom hazard value is greater than a predefined threshold (for example, 16), the assessment module 214 may trigger a popup message through the user’s app 202 to warn the user that the user is at an excessive risk level and hazard mitigation is required before proceeding with the next step (described later) and to not proceed if the hazard cannot be mitigated.
  • a predefined threshold for example, 16
  • the assessment module 214 also provides a series of personal wellness questions to the user to allow the user to enter his/her personal wellness evaluations.
  • the personal wellness questions may comprise questions specific to the user at the time of assessment and independent of the workplace and duties, such as questions related to mental fitness-for-work, alertness, sleep, distraction, alcohol- or drug-impairment components, language, hunger, dehydration, travel time, stress, fatigue, jet-lag, shift pattern, anxieties of personal life, despair, and/or the like.
  • Each personal wellness question has a predefined value range, which may be a graduated sliding scale (for example, a scale of 1 to 10).
  • the personal wellness questions may also comprise questions of workplace human factors which relate to how the worker is engaged and tasked at the workplace such as comfort, confidence, self-assessed ability, training, accident history, peerpressure, asking for help, pressure to complete work, support, and/or the like.
  • Some questions may be considered high-risk questions and are assigned a high- risk value rather than other risk values.
  • a question such as “I have feelings of helplessness and despair about the future” may be a high-risk question and have a high-risk value that may override the values of other personal wellness questions if the response to this high-risk question surpasses a certain threshold (that is, the values of other personal wellness questions are assigned with the value of this high-risk question).
  • the personalized recommendation action plan (described later) links to a crisis support service and may override the other personal wellness questions and hazard risk levels.
  • the assessment module 214 then calculates a total wellness score as the sum of the wellness values of the personal wellness questions and calculates a compounding factor by comparing the total wellness score with one or more compounding thresholds.
  • the compounding factor is set to one (1); if the total wellness score is greater than or equal to 31, the compounding factor is set to two (2); otherwise, the compounding factor is set to 1.5.
  • the assessment module 214 may further provide a risk-level evaluation by comparing the total combined score with one or more predefined risk thresholds for example, the risk level is high if the total combined score is above 51 , the risk level is low if the total combined score is below 30, and otherwise, the risk level is medium.
  • the assessment module selects online courses from the learning management subsystem & library 210 based on the risk level and directly links the online courses to the hazards and mental wellness questions which the user may access from the app 202 of the client computing device 104 to begin a course.
  • the assessment module 214 may also provide data tracking and reporting, direct employer/employee comparison reporting, and other suitable reports to ensure all stakeholders are aware of hazards.
  • the assessment module 214 may also send notifications to relevant users to ensure corrective measures to mitigate the hazards and to provide users with for continuous learning opportunities.
  • the system 100 may also comprise one or more sensors which may be any sensors suitable for detecting hazards in the workplace such as chemical sensors, acoustic sensors, computer-vision sensors (for example, surveillance cameras), and/or the like for detecting and measuring air pollution, hazardous chemicals, noise, biological hazards, mechanical hazards, and/or the like.
  • the system 100 may further comprise sensors for measuring and/or collecting biometric data such as heart rate, blood pressure, recorded sleep time, recorded activity, facial recognition, classification of emotions, and or the like.
  • the assessment module 214 is also in communication with the sensors to receive sensor data for risk and hazard evaluation.
  • the received sensor data may be stored in the dynamic-content server 208 and may be used by the assessment module 214 to determine a sensor-based risk value for each sensor and calculate a total sensor-based risk value as the sum of all sensor-based risk values.
  • the assessment module 214 then combines the total sensor-based risk value with the first total hazard risk value, the second total hazard risk value, and the total wellness value to obtain the risk level.
  • the assessment module may comprise an artificial intelligence (Al) model and may use machine learning (ML) to analyze historical and real-time data, compensating for biases in above-described user’s risk and hazard evaluation data, and generating predictive analysis for identifying and mitigating hazards that lead to risk-response incidents and accidents.
  • Al artificial intelligence
  • ML machine learning
  • the system 100 may use historical data collected over time to evaluate and adjust various values to identify and mitigate hazards more likely to lead to accidents.
  • historical data may be used to adjust any one or combination of the following: pre-defined hazards, predefined risk-value range for a pre-defined hazard, customized hazard severity, customized hazard likelihood, predefined thresholds for total custom hazard value, personal wellness questions, predefined value ranges and risk levels for personal wellness questions, compounding thresholds, compounding factors, predefined risk thresholds, recommendations for mitigation, data tracking, reporting, sensor-based risk values, and/or the like.
  • the choices presented to the user may be adjusted and/or the calculations that are performed based on the user input may be adjusted.
  • Methods for evaluating and adjusting values may comprise Al, ML and/or other techniques.
  • FIG. 6 is a flowchart showing a process 300 performed by the system 100 for a user to conduct a workplace risk and hazard assessment. Screenshots of each step are shown in FIGs. 7A to 7L.
  • the app 202 displays a splash screen as shown in FIG. 7A, then a disclaimer screen is shown in FIG. 7B.
  • the app 202 displays a login screen (see FIG. 7C) to allow the user to login to the system 100 by using for example, the user’s email address and password.
  • the authentication server 206 verifies the user’s identity and generates an authorization token.
  • the app 202 displays a Select Industry screen (see FIG. 7D) with a list of categories of industries (i.e. service hospitality and tourism, welding, construction, and the like) to allow the user to select an industry.
  • industries i.e. service hospitality and tourism, welding, construction, and the like
  • the app 202 displays a Select Your Position screen (see FIG. 7E) to allow the user to select a work identity (such as employer/supervisor or employee) from a list.
  • a work identity such as employer/supervisor or employee
  • the app 202 displays a Select Environment screen (see FIG. 7F) to allow the user to select a work environment from a list (such as a list of Kitchen and Food Prep, Food and Beverage Servers, Food Counter Attendants, Hotel, Transportation & Delivery, and the like for the Service Hospitality and Tourism industry).
  • a list such as a list of Kitchen and Food Prep, Food and Beverage Servers, Food Counter Attendants, Hotel, Transportation & Delivery, and the like for the Service Hospitality and Tourism industry.
  • the user may look around and observe the environmental hazards such as physical, chemical, biological, ergonomic, and/or the like.
  • the app 202 displays a Select Hazards screen (see FIG. 7G) with a list of categories of hazards for the selected environment (i.e. Physical, Biological, Ergonomic, Chemical, and the like) to allow the user to select a category and then select one or more hazards (see FIG. 7H).
  • the hazards may include: physical hazards such as hot surfaces, sharp knife/blades, ladders, and/or the like; biological hazards such as human contamination, mold, and/or the like; ergonomic hazards such as awkward reach, heavy lifting, and/or the like (see FIG. 7I).
  • the user selects the hazards presented in the work environment.
  • the hazard list may be delayed by a predefined time period such as 30 seconds to allow the user time to look for hazards by themselves without prompting, which aids accountability and hazard awareness in the user and may avoid routine complacency.
  • the user may also select “Custom” to add customized hazard with ratings of the hazard severity, hazard likelihood, and/or the like (see FIG. 7J).
  • the app 202 displays a Personal Wellness Assessment screen (see FIG. 7K).
  • the user answers a list of questions presented on the Personal Wellness Assessment screen and rate their status (self-assessment) on a numbered scale (i.e. from 1-10).
  • the assessment module 214 calculates the risk level as described above.
  • the app 202 displays the calculated risk level as for example, low, medium, or high risk (see FIG. 7L).
  • the displayed risk level may be color-coded based on the value thereof.
  • the system 100 verifies the user’s authorization token and stores the calculated risk level and course info into the database server.
  • the app 202 may also display a list of personalized recommendations (such as to reach out to a colleague, friend, family member, support group, or to link to a professionally trained crisis responder, counseling, and/or the like), and to courses (that is, online e-courses, understanding sleep, bullying prevention, rights and responsibilities at work) based on the calculated risk level.
  • Risk levels above a certain threshold or of a particular nature such as peerpressure may result in a critical alert and a recommendation which may include specific e-learning programs that the user may immediately access from the app 202.
  • the app may provide recommendations and links to external resources, such as crisis response support agencies, a human resource contact, and/or an external training course.
  • the user may then access one or more of the external resources and/or start a course (step 324) to mitigate hazard and the process 300 ends (step 326).
  • the screen location and the specific wording of the hazard components may be randomized each day to oblige care and attentiveness when completing the assessment.
  • the system 100 may provide real-time hazard reporting and notifications to circumvent accidents from occurring.
  • the realtime hazard reporting and notifications may be triggered if the assessment exceeds a predefined threshold.
  • the threshold may be user-customizable.
  • the system 100 may provide daily field-level hazard assessments.
  • the system 100 may allow customized hazards to be formally reported and included into the predefined hazard list.
  • the system 100 may comprise one or more imaging components such as one or more camera components for photographing and/or video recording hazards. [0096] In some embodiments, the system 100 may comprise a reward module that rewards users for reporting safety hazards.
  • the system 100 may comprise a reporting module for generating reports for audit and/or inspection.
  • the system 100 is not limited to workplace risk and hazard mitigation, but may be used in other environments such as residential. For example, the system may be used to assess residential fire risk and hazards.
  • personal wellness and mental wellness may be topics that are difficult to openly discuss in the workplace or with a workplace supervisor. There may be factors which create an additional hazard that the worker does not want to disclose. As an example, a worker may have medication which limits the operation of heavy machinery but does not wish to tell their supervisor about their medical details.
  • the system and method disclosed herein provide easy-to-use risk and hazard assessment to allow the users to freely evaluate risks and hazards in the workplace.
  • the risk-level display screen provides the overall risk level assessment in a clear, visual way, but without showing the specific details of the hazards. In this way, the user may show the summary to their supervisor.
  • the overall risk level assessment does not show the details of the personal wellness evaluation to keep it confidential.
  • the system and method disclosed herein give more accurate assessment of overall workplace risk.
  • the system and method disclosed herein are proactive and allow the workers to practice being alert to spotting what hazards are in their workplace.
  • Use of the system 100 is auditable with user authentication and timestamps and location stamps recorded. This is useful if there is a workplace injury.
  • system and method disclosed herein may also be used in schools, for commercial drivers, for insurance purposes, for legal purposes if the user is forced to work, or to demonstrate the employer is providing training and incorporating mental wellness as part of their program.

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Abstract

Système de réseau informatique permettant d'évaluer des risques liés aux environnements de travail des dangers. Le système comprend un ou plusieurs ordinateurs serveurs couplés à un ou plusieurs dispositifs informatiques clients par l'intermédiaire d'un réseau. Les ordinateurs serveurs sont configurés pour recevoir des entrées d'utilisateur liées à l'évaluation du risque et du danger, et des entrées d'utilisateur liées à l'évaluation du bien-être personnel, pour calculer un indice de danger total sur la base des entrées d'utilisateur liées à l'évaluation du risque et du danger, pour calculer un indice de bien-être total sur la base des entrées d'utilisateur liées à l'évaluation du bien-être personnel, pour déterminer un facteur de mélange par la comparaison du indice de bien-être total avec un ou plusieurs seuils de mélange, pour calculer un indice combiné total en tant que multiplication de l'indice de danger total et du facteur de mélange, pour déterminer un niveau de risque par la comparaison de l'indice combiné total avec un ou plusieurs seuils de risque ; et pour fournir une ou plusieurs recommandations relatives à l'atténuation des risques et des dangers professionnels.
PCT/CA2022/051869 2021-12-21 2022-12-20 Procédé et système d'évaluation de risques liés aux environnements de travail WO2023115208A1 (fr)

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