fig1 shows a flow of data collected specifically about the worker &# 39 ; s shift . the worker wears the device to collect the data during his / her shift . the device could measure anything , but examples include the following : fitbit ®, misfit ®, garmin ®, armour band ®, microsoft band ®, xiaomi ® steps tracking devices ( which may also track heartbeat , sleep , and swimming , depending upon the model ), fitness tracking systems such as jawbone ® which allow user input of data such as meals and mood , a smartphone ( such as iphone and android ) used as a tracking device , and smart watches that track activity such as apple watch ®, mondaine ®, and withings ®. at 101 , the beginning of the shift , the device is deployed to collect data , and at 103 , the end of the shift , the device is undeployed . also , note is made about the shift start [ 102 ] and stop times [ 104 ]. this notation may be made manually or automatically , but must become electronic data before it can be used in the system . fig2 shows how both the device data and the shift data are entered into the system and are combined with other data . first , at prespecified time intervals , device data are transferred from the device to the virtual or physical location [ 201 ]. there , device data are combined with other data , including the shift data [ 202 ]. the other data will include both static and time - dependent predictors of negative occupational health - related outcomes , which are hypothesized to include the following : stressful work environment , lack of worker experience in the occupation , worker being in a state of burnout , worker being physically ill , worker being mentally ill , worker lacking adequate functional information and training , worker participation in certain high - risk occupations , worker demographics , worker locus of control level role , underlying worker personality components , underlying worker physical and mental co - morbidities , and quality and nature of management in the worker &# 39 ; s organization . the combined dataset undergoes extract , transform , and load ( etl ) processing [ c ] to add intelligence ( including but not limited to threshold information , alert information , recommendation information , and other calculations and algorithms ). this processed dataset is called analytic dataset , and after etl processing , it is ready to display thresholds , passive alerts , and recommendations when a worker , employer , or anyone else accesses an interface and chooses a display . after the analytic dataset is prepared , logical operations [ 205 ] will be run on it to determine if predefined evidence - based thresholds associated with negative health - related outcomes associated with occupational conditions are approached or exceeded . if no thresholds are being approached or exceeded according to the logical operations , the process is complete [ 208 ]. on the other hand , if pre - defined active alerts have been programmed , they will be triggered [ 206 ], and if recommendations are available and are desired , they will be provided [ 207 ] before the process is completed [ 208 ]. fig3 shows the worker interface . the worker accesses the secure interface and then sets parameters for display , including but not limited to time frame that will be the subject of the display [ 301 ]. next , worker accesses data display , which can include thresholds , passive alerts , and / or recommendations ( if applicable ) [ 302 ]. the interface will allow the worker to complete other functions before the worker closes access to the interface . fig4 shows the employer interface . as with the worker interface , the employer will access the secure interface and set parameters for display [ 401 ], then access the display [ 402 ]. two main differences between the employer and worker interface include 1 ) the employer will be asked to set the additional parameter as to which employees to display ( and may be asked for other parameters ), and 2 ) the employer display will include thresholds , passive alerts , and recommendations for all the employees in the parameter selected . recommendations provided in the employer interface may also be different than ones displayed in the worker interface . as with the worker interface , the employer may also complete other functions in the interface [ 403 ] before closing access to the interface . in an exemplary version of the invention , the employer would provide or be provided worker devices as part of this system , and assign the various devices to workers ( such as nurses ). a typical device that could be used currently would be one embedded in a wearable health tracking device that tracks biological metrics that is already available on the market ( such as a pedometer ). the employer would track device assignment in the employer interface . this employer interface would be provided through secure online software on the internet that could be accessed through a computer or portable electronic device such as smartphone or tablet . in the employer interface , the employer would log in and do data entry to record which employee had which device . the employer would also develop administrative policies regarding use of the system in the employment space and communicate this to workers when the device is assigned to them . the devices would be easily attachable to the clothing or body of the worker , and would be put on and removed at the beginning and end of shifts by the worker . the worker interface would also be secure , accessed as software through the internet by the worker , and would work on a computer or portable electronic device such as smartphone or tablet . as part of administrative policies , the worker would be expected to wear the device while working , and access the worker interface to perform functions . the data from the device would be transmitted securely through the internet to secure storage that permits access by both customers and developers . also in this storage environment would be applications to allow analytics where the data would be combined with other data and the analytic dataset would be developed . the data storage environment would support the other functions of the system , such as data displays , data entry , and other processes . providing data to the system about actual shift times would be best done through manual data entry either by the employer or worker through their respective interfaces . in the case where last - minute changes in shift times are common , it may be better to have the worker enter these data because they will be more accurate . the data could be collected in the storage environment to be combined with other data . when workers access their secure interface , the displays they are provided will be shown as online reports of their data . they would be provided information about their data combined with other data about their shifts ( such as mean steps taken per shift ). the data would be reported as clearly labeled numbers , but also provided in a graphical display , such as line or bar charts . the interface would allow the worker to set parameters around the display , such as selecting which shift &# 39 ; s data to display , or what type of graphical display is desired . when employers access their secure interface , they will have the same functionality as the worker with respect to displays , except they will have the additional functionality associated with being able to view the data from multiple workers ( such as a nursing team ). data displays will be similar to the ones in the worker interface , but will allow for the inclusion of multiple workers . like the worker interface , the employer interface would allow the employer to set parameters around the around the display , such as selecting which workers &# 39 ; data to display , which shift &# 39 ; s data to display , or what type of graphical display is desired . if a threshold has been determined through research and development on the data from the device and the occupation of the worker that has been shown through scientific evidence to be increase the likelihood of negative health - related outcomes associated with occupational conditions , this threshold will be included in data displays to the worker and the employer in their interfaces ( such as a line across a bar graph showing average number of steps per shift indicating the average steps for shift threshold found to be associated with negative health - related outcomes associated with occupational conditions ). accompanying the display of thresholds will be passive alerts . through administrative policies , under what conditions passive alerts are displayed on the interface ( and to whom ) will be set , but best practices would suggest they be set to be displayed to both worker and employer 1 ) when the worker is approaching the threshold , and 2 ) when the worker exceeds the threshold . a passive alert will provide an explanation as to why the alert was triggered relating it to the threshold , such as a text box on the display explaining that a worker is approaching or exceeding a threshold ( e . g ., “ healthy level of steps for shift exceeded ”). in addition , active alerts can be used in this system . these would be best implemented by having the employer use the employer interface to designate under what conditions to be sent active alerts . active alerts would contain the same information as passive alerts , but would be transmitted in real - time as soon as the alert is created . the alert will be created when the data that is transferred into the storage environment is analyzed , and thus the alert is created . as a passive alert , it will not be seen until the worker or employer uses their respective displays , but as an active alert , a message could be actively transmitted at this time ( such as the employer receiving the alert information in his / her e - mail ). in addition , recommendations can be provided by the system to the employer or worker . recommendations can accompany passive or active alerts . for example , when an employer receives an alert that a worker is approaching a threshold , the employer may also receive the recommendation not to schedule that worker again for a particular time period to prevent endangering the worker &# 39 ; s health . exemplary embodiments of the invention have been disclosed in an illustrative style . accordingly , the terminology employed throughout should be read in a non - limiting manner . although minor modifications to the teachings herein will occur to those well versed in the art , it shall be understood that what is intended to be circumscribed within the scope of the patent warranted hereon are all such embodiments that reasonably fall within the scope of the advancement to the art hereby contributed , and that that scope shall not be restricted .