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Predict the degree of injury based on the description. | At 9:30 a.m. on June 1, 2020, an employee was cutting shams on an unguarded table saw. The employee's hand became caught by the 10-inch sawblade. The employee sustained lacerations to his left hand, resulting in hospitalization. | 22 |
Predict the degree of injury based on the description. | At approximately 6:40 a.m. on January 4, 2017, Employee #1, a truck driver for a n equipment rental company, was in the basket of a 60 foot JLG telescopic boom lift driving it to load onto a trailer. The basket of the boom struck the dovetail of an adjacent trailer which was in the up position, injuring Employee #1. Em... | 22 |
Predict the degree of injury based on the description. | At approximately 8:00 p.m. on April 27, 2017, an employee, an owner, was preparing to drain refrigerant from the system. The owner loosened the valve. The Schr ader valve was missing its core, so R-22 refrigerant flashed off and burned the owner's hands. The owner received serious burns from the refrigerant and was hos... | 22 |
Predict the degree of injury based on the description. | On May 5, 2017, an employee was lifting a pallet of bundled 2 by 4 with a forklift and turned the forklift. The employee was pinned to the road when the forklift toppled over and was crushed. | 11 |
Predict the degree of injury based on the description. | At 2:15 p.m. on June 24, 2019, Employee #1 was trimming the overhang of the shingles on the roof of a residence. He disconnected from his Personal Fall Arrest System (PFAS) and his positioning device in order to reach the edge of the roof. The employee lost balance and fell to compacted soil, a fall height of 13 feet. ... | 22 |
Predict the degree of injury based on the description. | At approximately 1:00 p.m. on September 5, 2016, an employee was walking along a row of grapes that he had finished picking and was counting the number of trays he had placed on the ground to record them for payment. As he was walking along the row he collapsed. The employee died of an apparent heart attack. attack. | 11 |
Predict the degree of injury based on the description. | At 8:56 a.m. on August 9, 2021, an employee was unstrapping steel bundles loaded on the back of a leased semi tractor trailer truck when one of the straps broke and the bundles came loose. The bundles spilled onto the side of the trailer and fell onto the employee. The employee was struck in the head and was pinned to ... | 11 |
Predict the degree of injury based on the description. | At 2:35 p.m. on October 24, 2017, an employee was working at a firm that repaired and maintained farm machinery. He and a coworker were repairing a 480/80R50 tractor tire mounted on a weighted rim. The tractor was a "dually": i.e., it had f our wheels at the rear. They were working on one of the inner tires. For that t... | 22 |
Predict the degree of injury based on the description. | At 11:00 a.m. on September 11, 2018, Employee #1, employed by a construction sid ing company, was preparing to install a J-channel siding trim at a new two-story residential structure. He was working from an extension ladder. The siding trim made contact with an overhead power line that was 8 feet away from the employe... | 22 |
Predict the degree of injury based on the description. | At 7:45 a.m. on July 10, 2018, Employee #1, employed by a marine construction company, was repairing a leaky gasket. To gain access to the leak, he had to remove a large hydraulic ram. As he unbolted the ram from its cradle, it fell and pinned him against a steel bulkhead. Employee #1's arm was crushed. Emergency servi... | 22 |
Predict the degree of injury based on the description. | An employee working doing his regular duties. The employee was exposed to another patient with COVID-19 and tested positive for COVID-19. The employee was hospitalized at approximately 8:45 a.m. on August 14, 2021. | 22 |
Predict the degree of injury based on the description. | On January 07, 2013, Employee #1, a background actor, was carrying a handbag and a plastic wardrobe with a blouse and was not sure if she was using a railing when walking down the stairs and fell from the Lunchbox Trailer stairway. The stairway had only one railing on the open sides. Employee #1 was not using the raili... | 22 |
Predict the degree of injury based on the description. | At 2:15 p.m. on November 14, 2018, an employee was burning weeds with a weed burner or a drip torch that was mixed with gas and diesel. The employee sustained third degree burns over a large percentage of his body when the wick fell out and the flames entered the tank, exploding the weed burner. The employee was transp... | 22 |
Predict the degree of injury based on the description. | At 4:00 p.m. on July 12, 2018, Employee #1 was torch cutting on a pickle line after a coil broke. The employee experienced difficulty breathing after performing work, due to heat or hydrochloric acid exposure. He was hospitalized for treatment. | 22 |
Predict the degree of injury based on the description. | At 8:00 a.m. on October 10, 2016, an employee was towel drying the front driver side of a car as the driverless car completed its automated car wash cycle through a 110' long car washing tunnel when the car came off the automatic conveyor t rack system. The employee then opened the driver's door and incidentally shifte... | 33 |
Predict the degree of injury based on the description. | At 3:45 a.m. on August 6, 2019, Employee #1, employed by a construction company, was involved in moving a light tower. The trailer jack folded/collapsed, and t he employee's right ring finger apparently was caught between the jack and the tongue of the light tower trailer. The employee received medical treatment for a ... | 22 |
Predict the degree of injury based on the description. | At 6:10 a.m. on April 19, 2019, an employee was performing service work on a baler. The Balemaster (Model: 44750-10, G, J, J, 4, Q, T, U, X, Z, 7, Z, 9: Serial Number: B1022-04-13389583) had five swords which became lodge in a bale while attempting to pull wire through to tie the bale at the end of the process. A third... | 33 |
Predict the degree of injury based on the description. | On August 27, 2013, Employee #1, with California State Insulation, fell from a l adder when it slipped, while he was hanging a picture. He fell about 10 feet. He suffered a compound fracture to his right ankle. Employee #1 was hospitalized. | 22 |
Predict the degree of injury based on the description. | On March 4, 2020, Employee #1, the company superintendent, and a coworker, both employed by a construction company, were working at a building being remodeled. Employee #1 reviewed the work of his coworker, a carpenter who was caulking on the second floor. Employee #1 then left. The coworker completed his work at appro... | 11 |
Predict the degree of injury based on the description. | At 10:00 a.m. on February 25, 2020, an employee was operating a metal lathe. The string from his hooded sweatshirt wrapped around the revolving part of the lathe (300 RPM). The employee was pulled into the machine. The employee was hospitalized to treat a fractured collarbone, shoulder, right arm, and ribs. The employe... | 22 |
Predict the degree of injury based on the description. | At 12:06 p.m. on May 20, 2013, an employee was walking 70 feet to get a wheelbarrow from behind a piece of equipment. The employee collapsed without warning and died. | 11 |
Predict the degree of injury based on the description. | At 2:15 p.m. on July 31, 2020, an employee and coworker were in an elevator shaft replacing lights. At some point, the elevator descended on top of the employee while still working in the shaft. The elevator crushed and killed the employee as it pinned the employee down. | 11 |
Predict the degree of injury based on the description. | On February 18, 2022, an employee finished working on a part using an Acer Surface Grinder, Model Number AGS-1224AHD. As the grinding wheel was still spinning, the employee attempted to remove a part from the grinder. The part was suctioned to the surface due to coolant and other debris. During the attempt to remove th... | 22 |
Predict the degree of injury based on the description. | At 6:45 a.m. on December 29, 2017, an employee was emptying a 2-yard dumpster in to a rear loading garbage truck. The employee lost control of the 2-yard dumpster when it impacted ice when returning it to its enclosure. The employees finger was caught between the dumpster trunnion bar and the garbage truck resulting i... | 22 |
Predict the degree of injury based on the description. | At 10:00 a.m. on September 18, 2017, Employee #1 and Coworker #1, employed by a painting company, were working at a multiemployer construction project, a residential building. Employee #1 was working from the basket of a JLG aerial lift an d painting the building's exterior fascia. Coworker #1 moved the lift basket, a ... | 22 |
Predict the degree of injury based on the description. | At 9:30 a.m. on March 30, 2018, Employee #1, employed by a construction company, was operating a forklift truck at a multiemployer construction project, a three -story multifamily residence. He was wearing a fall arrest harness and lanyard. As he drove, the lanyard became caught by the vehicle's rear tire, and Employe ... | 22 |
Predict the degree of injury based on the description. | At 10:45 a.m. on April 18, 2022, an employee was digging a shallow trench, along the perimeter of a residential home's crawl space to install French drains. When the employee struck an underground electrical line, he was electrocuted and killed. | 11 |
Predict the degree of injury based on the description. | At approximately 2:30 a.m. on April 17, 2019, an employee was changing printing plates. The employee's hand was caught in the rollers of the printing press. The employee suffered lacerations and severe bruising on the hand. The employee w as hospitalized. | 22 |
Predict the degree of injury based on the description. | At 12:30 a.m. on January 19, 2022, an employee had his hands on a roll of wound product while he was attempting to diagnose a fault in the roll. The Cameron Slitting and Roll Winding Machine storing the roll came down on the employee's arms as he was feeling the roll for defects and attempting repairs. The employee exp... | 22 |
Predict the degree of injury based on the description. | At 12:30 p.m. on April 4, 2018, an employee was cleaning around the maintenance wood chipper and reached into the machine to clear a jam. The employee amputate d his right ring finger and was hospitalized. | 33 |
Predict the degree of injury based on the description. | At 11:45 p.m. on November 12, 2013, an employee was replacing a potential transformer and connected insulated alligator clips to the transformer on the back of the unit. The employee had not disconnected the transformer from 120 volt power source and was holding a drill in his hand to put the cover back onto the unit. ... | 11 |
Predict the degree of injury based on the description. | At 4:30 p.m. on February 5, 2019, two employees (Employee #1 and Employee #2) worked to install trusses when, while guiding a truss being lowered into place, th e truss the employees were attached to fell and pulled the employees down. The employees fell approximately eleven feet off the roof and were hospitalized. Emp... | 22 |
Predict the degree of injury based on the description. | At 1:45 p.m. on November 30, 2017, Employee #1 was in the attic of a residence a nd installing wiring for ceiling lights. He fell through a false board used for insulation, a fall height of 12 feet. Emergency services were called, and Employee #1 was transported to the hospital. He was admitted and treated for a spin a... | 22 |
Predict the degree of injury based on the description. | At approximately 4:00 a.m. on April 30, 2017, an employee, the back operator, was trying to insert a spacer block between two rolls. The employee yelled to front operator that he could not get the spacer in. The front operator told him to w ait and the front operator turned a switch to lift the top work roll before try... | 33 |
Predict the degree of injury based on the description. | At 9:15 a.m. on March 29, 2018, an employee was hoisting a bunch of pipes when t he load shifted and fractured his lower leg when he was struck. The employee was hospitalized. | 22 |
Predict the degree of injury based on the description. | At 3:30 a.m. on February 6, 2018, an employee was working for a temporary employment agency. He had been sent to work at a site where trash was processed. He was working on a conveyer line sorting trash. He believed he was bitten by a spider. He went home early from his shift. On the following day, February 7, 2018, he... | 22 |
Predict the degree of injury based on the description. | On June 10, 2021, an employee had been walking along an aisleway when a coworker found him on the floor excessively salivating. The employee later died of a non work related medical condition. | 11 |
Predict the degree of injury based on the description. | At 9:30 p.m. on August 7, 2018, an employee was operating a titanium plating chamber when titanium dust on a duct ignited, resulting in a flash fire and burns t o the employee's arms. | 22 |
Predict the degree of injury based on the description. | At approximately 9:30 a.m. on February 11, 2019, an employee was working at a li mited-service restaurant. She was using a slicer or slicing machine to slice a tomato. During the third slice of the tomato, the employee's right thumb made con tact with the slicer's blade. The tip of her right thumb was amputated. She wa... | 22 |
Predict the degree of injury based on the description. | On the afternoon of March 9, 2018, Employee #1, employed by a drywall company, w as working alone at a one-story residential renovation project. He was using an 8-foot rolling scaffold, a 3-foot rolling scaffold, and a 6-foot A-frame ladder and installing joint compound on drywall joints. Employee #1 apparently fell f ... | 22 |
Predict the degree of injury based on the description. | At 10:45 a.m. on February 3, 2020, an employee working as a operations analyst for a company that provides oil and gas support services was training to use the nitrogen unit in the back of the yard. The employee was exiting in and out of the equipment doghouse via a ladder. As the employee exited the doghouse, the ladd... | 22 |
Predict the degree of injury based on the description. | At 10:18 a.m. on July 26, 2017, Employee #1 was inspecting a hoist on a roof at a mill facility. The roof lid that was utilized for moving equipment in and out of the mill had been removed. The employee fell approximately 14 feet to the met al grated floor below. Employee #1 sustained lacerations and multiple fractures... | 22 |
Predict the degree of injury based on the description. | At 8:00 a.m. on February 12, 2013 an employee was working with coworkers forming and installing a storm sewer runoff for a new round-about interchange. The employee was positioning a metal chute which was located on the back of a concrete t ruck, pouring a foundation for the storm sewer. The concrete truck was under a ... | 11 |
Predict the degree of injury based on the description. | At 2:00 p.m. on November 16, 2020, Employee #1, employed by a roofing company, w as engaged in roofing activity at a commercial building. He was walking across the roof when he tripped, lost balance, fell on his back, and slid off the roof, a fall height of 15 feet. The employee sustained damage to internal artery stru... | 11 |
Predict the degree of injury based on the description. | At 12:54 a.m. on March 12, 2020, an employee was removing a jam from a vacuum line on the system. The employee didn't lockout the equipment. As he entered in to remove the jam, the machine valve cycled and caught his finger. The employee suffered a left index finger amputation. The employee was hospitalized for treatme... | 22 |
Predict the degree of injury based on the description. | At 7:46 p.m. on August 31, 2022, an employee was operating a tie press machine. The employee turned away from the machine briefly and collapsed while experiencing a cardiac event. The employee was transported to the hospital, where he later died as a result of heart disease. | 11 |
Predict the degree of injury based on the description. | At 9:30 a.m. on December 10, 2019, an employee was attempting to attach a steel sling shackle to a coupler locking pin on a front end loader. In order to release the coupler locking pin, the loader was started and the pin automatically closed. The employee's left middle finger was degloved, and later surgically amputat... | 22 |
Predict the degree of injury based on the description. | At 8:38 p.m. on February 2, 2018, an employee was spraying water on to a hoper c ar and fell 13.2 feet from the mixer platform. The employee suffered multiple fractures to his left shoulder and leg. The employee was hospitalized. hospitalized. | 22 |
Predict the degree of injury based on the description. | At 9:00 a.m. on March 2, 2021, an employee lost balance and fell approximately eight feet from ladder. The employee was taken to the hospital for treatment of injuries and died ten days later. | 11 |
Predict the degree of injury based on the description. | At 6:15 a.m. on November 1, 2017, an employee was feeding a piece into the roll former machine. The employee attempted to pull out the piece that was becoming deformed, resulting in the amputation of their left index finger. | 33 |
Predict the degree of injury based on the description. | At 10:00 a.m. on October 24, 2018, Employee #1, employed by a construction company, was engaged in roofing work for a new pole barn. He was walking backward an d rolling out roofing felt when he stepped off the roof's edge. Employee #1 fell a height of 18 feet. Emergency services transported the employee to the hospita... | 22 |
Predict the degree of injury based on the description. | At 9:30 a.m. on April 20, 2017, an employee was operating a Hendrick Panel Saw machine. As he removed plastic material that had become stuck in the saw, the glove on his left hand became caught in the running blade of the machine. The emplo yee's left middle finger sustained a partial amputation. | 22 |
Predict the degree of injury based on the description. | At approximately 9:00 a.m. on June 1, 2013, Employee #1, a pallet and bin repair person, was cutting some wood with a table saw when his hand made contact with the saw blade. The employee was taken to an area hospital, where he was treated for partial amputations of two fingers. The employee was later released. | 22 |
Predict the degree of injury based on the description. | At 2:00 p.m. on September 20, 2018, Employee #1, employed by a construction company, was helping to install/position a concrete pipe for a new two-story commercial building. As the pipe was being seated, it twisted and struck Employee #1's right femur. The employee was transported to the hospital, admitted, and treat e... | 22 |
Predict the degree of injury based on the description. | An employee was working in a nursing home when she was exposed to residents and coworkers who were infected with COVID-19. The employee was preparing for work w hen she began experiencing COVID-19 symptoms. The employee tested positive for C OVID-19 and was hospitalized at 10:00 a.m. on July 31, 2020. The employee succ... | 22 |
Predict the degree of injury based on the description. | At 9:15 a.m. on April 10, 2014, an employee was advancing category five wire communication wire from a pool area to the ground floor at an apartment complex. Investigation and security video revealed that the employee entered a transformer closet with no warning signs, training, or personal protective equipment. Transf... | 11 |
Predict the degree of injury based on the description. | At approximately 6:45 a.m. on March 31, 2020, an employee was working at facility as a Certified Nurse Assistant (CNA). The employee contracted COVID-19 and later died. | 11 |
Predict the degree of injury based on the description. | An employee along with three coworkers gathered together in Driver Break Room while eating lunch, within six feet of each other. On Monday, February 1, 2021, th e employee began exhibiting signs and symptoms of COVID-19. On Tuesday, February 2, 2021, the employee was immediately asked to self-quarantine due to a potent... | 11 |
Predict the degree of injury based on the description. | At 3:00 p.m. on May 13, 2016, an employee was working from an A-fame ladder installing a metal soffit, when the employee lost his balance and fell approximately 8 feet to the ground. The employee was killed from lower back and head injuries. | 11 |
Predict the degree of injury based on the description. | At 8:30 a.m. on June 21, 2018, Employee #1, a painter, was doing some touch up painting on a sign using a Skyjack Model SJ40T aerial lift. The employee's head became caught between the aerial lift railing and the sign, causing a cranial cervical dislocation. Employee #1's head was crushed and he was killed. killed. | 11 |
Predict the degree of injury based on the description. | At 10:30 a.m. on October 24, 2019, an employee working as a carpenter apprentice for a residential building contractor was working on exterior siding. The employee inadvertently activated the trigger of a nail gun while removing it from her tool belt. The employee then accidentally hit her right foot causing the gun to... | 22 |
Predict the degree of injury based on the description. | At approximately 2:30 p.m. on April 1, 2013, Employee #1 was working as a member of a maintenance crew in a factory at which textiles were produced. At the time of the incident, a coworker was working as the operator of dyeing equipment in the factory. He was performing his daily job of monitoring and running the three... | 22 |
Predict the degree of injury based on the description. | At 1:45 p.m. on March 27, 2018, Employee #1, employed by a construction company, was engaged in a window installation for a new three-story commercial building. He was working from a mobile scaffold inside the structure. As Employee #1 prepared to use an extension ladder to climb down from the scaffold, the scaffold ro... | 22 |
Predict the degree of injury based on the description. | At 9:45 a.m. on May 3, 2017, an employee was working as a tool and die maker. Th e employee was removing parts from a heat treating furnace. The employee was closing a small heat treating furnace door which is opened and closed with a manual crank operated chain and sprocket mechanism. The employee's finger was caught ... | 33 |
Predict the degree of injury based on the description. | At 7:00 a.m. on January 15, 2018, Employee #1, employed by an electrical service s company, was working at a multiemployer construction project, a five-story commercial building. He was offloading a large box held by an all terrain forklift. Employee #1 entered the box, the box fell off the forks, and Employee #1 fell,... | 22 |
Predict the degree of injury based on the description. | At 6:15 a.m. on August 26, 2019, Employee #1 was clearing the roof of debris by hand. Employee #1 fell through an opening in the roof to ground level. Employee #1 struck scaffolding on the way down to the floor. The fall distance was approximately 14 feet 6 inches. The opening was to be a permanent roof access point. I... | 22 |
Predict the degree of injury based on the description. | At 3:30 p.m. on January 23, 2018, an employee was monitoring the flow of molasses into a mixing auger. The employee's right hand inadvertently slipped into the path of the auger blade., resulting in partial de-gloving of pinky and ring fin ger on right hand. The employee was hospitalized and treated for his injuries. h... | 22 |
Predict the degree of injury based on the description. | At 7:20 p.m. on November 21, 2022, an employee was using a forklift for material handling at a metal smelting and refining facility. The employee was found unresponsive on a parked forklift. The employee was killed by a suspected heart attack. | 11 |
Predict the degree of injury based on the description. | At 8:00 a.m. on August 27, 2018, an employee was loading and unloading stringers while operating a double notching machine. The employee was reaching to grab a stringer that fell and was going to go through the machine in the wrong fashion when his left arm was pulled into the machine's cutting heads, amputating the lo... | 22 |
Predict the degree of injury based on the description. | At 5:10 a.m. on July 28, 2020, an employee was fueling on top of a fuel truck when the fuel line jumped and knocked him off the truck approximately 8 feet to th e concrete floor. The employee incurred broken ribs and a broken pelvis and was hospitalized. | 22 |
Predict the degree of injury based on the description. | On January 8, 2022, Employee #1, a stocker, was positioning stock (product, plastic storage bins), while working from a rolling Cotterman ladder. Employee #1, stepped one foot off the ladder towards and onto the racking with the stock, and fell approximately 6-10 feet to the concrete floor below. Employee #1 was hospit... | 11 |
Predict the degree of injury based on the description. | At 9:00 p.m. on October 18, 2021, an employee was harvesting grapes with a crew of coworkers. The harvesting machine became jammed with sticks and stopped moving. As the employee reached in to clear the jam, the machine began to resume movement. The employee's right middle and ring fingertips were amputated, and he sus... | 22 |
Predict the degree of injury based on the description. | At 11:00 a.m. on March 4, 2019, an employee was working for a residential proper ty manager. He suffered chemical burns. He was not hospitalized. No 170 form was filed, as this was not deemed a serious injury. | 33 |
Predict the degree of injury based on the description. | At approximately 3:30 p.m. on November 16, 2016, Employee #1 was struck by an aircraft ground support equipment tug. He received severe head injuries and was killed. | 11 |
Predict the degree of injury based on the description. | At 5:52 a.m. on February 8, 2018, an employee was cleaning the bed of the C-fram e on the machine while a coworker changed out the piston and replaced the dies. The coworker was pushing the sleeve out of the platen on the machine and it started to fall. The employee reached in to catch the ring and caught his finger be... | 33 |
Predict the degree of injury based on the description. | At 9:30 a.m. on May 3, 2017, an employee was digging a hole to replace a water valve. The employee was electrocuted when an aluminum flag pole fell onto the overhead power lines. | 22 |
Predict the degree of injury based on the description. | At 12:00 a.m. on February 1, 2020, an employee was under a suspended I-Beam (fif ty-eight feet by two feet four inches), when an unidentified crane malfunction occurred that caused the cables to release the I-beam. The employee was struck an d killed. | 11 |
Predict the degree of injury based on the description. | At 2:53 p.m. on March 31, 2017, an employee was cleaning a rotating shaft of an Industrial High Speed Dispenser Mixer. The employee amputated the tip of his left index finger when his finger was caught in the threaded tap at the bottom end of the shaft. The employee was transported to a medical center where he was trea... | 22 |
Predict the degree of injury based on the description. | On September 21, 2018, an employee was struck in the head by a swinging log and received massive head trauma. The employee was hospitalized. | 22 |
Predict the degree of injury based on the description. | At 8:30 a.m. on June 28, 2019, an employee was weeding trees on a farm with a shovel when she began to fell ill. The employee was taken to the hospital, where s he died from a heart attack. | 11 |
Predict the degree of injury based on the description. | At 4:30 a.m. on November 13, 2018, an employee was working for a parcel delivery service that operated nationwide. He was coupling dollies together. When he "ov er gripped" the handle of the second dolly, he struck his right middle finger against the rear coupling area of the front dolly. He sustained the amputation of... | 33 |
Predict the degree of injury based on the description. | At 6:00 a.m. on October 16, 2021, an employee was riding on the back of a "yard dog" truck which was hauling a trailer behind it. The employee was seated on the back of the "yard dog" in the space in front of the trailer in tow. When the yard dog and trailer jackknifed, the employee jumped from the yard dog and sustain... | 22 |
Predict the degree of injury based on the description. | At 12:45 p.m. on December 18, 2017, an employee was using a Milwaukee angle grinder (model number: 6161-33) with a metal cutting wheel to cut a weld. As the employee knelt down on his left knee to cut the weld, he lost control of the grinder. The grinder struck his right leg, just above the knee, leaving a deep lacerat... | 22 |
Predict the degree of injury based on the description. | At 1:45 a.m. on January 29, 2020, an employee working for a wire manufacturer was jogging a nail wire into a Wafios nail maker machine (Cell 8). The worker attempted to untwist the nail wire when he pinched his right thumb in the wire. The employee amputated his thumb, requiring hospitalization. | 22 |
Predict the degree of injury based on the description. | At 9:30 a.m. on February 28, 2018, an employee was picking up some spilled product on conveyor system line and was struck on the back of the head by an industrial ceiling fan. The employee severely lacerated the back of his head and was unconscious. The employee was hospitalized and received thirteen staples. staples. | 22 |
Predict the degree of injury based on the description. | At 1:50 p.m. on January 22, 2014, an employee was cutting a tree down. The tree struck and killed the employee who suffered fractured vertebrae and blunt trauma to the head. | 11 |
Predict the degree of injury based on the description. | At 9:30 a.m. on February 8, 2018, Employee #1 and coworkers, employed by a build ing exteriors company, were working at a residential construction project. They were installing a waterproofing/insulating siding wrap to the house's exterior. The roof above the front porch began to collapse, and Employee #1 was struck b ... | 22 |
Predict the degree of injury based on the description. | An employee was working at a general medical or surgical hospital. It was a medical center for veterans. She was in an administrative support position. She was a claims assistant in the community service department of the medical center. She worked in the reception area with four coworkers in a 518 sq ft (48 sq m) area... | 11 |
Predict the degree of injury based on the description. | At 5:10 p.m. on April 23, 2020, an employee was replacing a damaged conveyor belt. An energized conveyor was turned on when an employee was repositioning the master link of the chain to the motor. The employee suffered a partial amputation of the left middle finger and was treated without hospitalization. | 33 |
Predict the degree of injury based on the description. | At approximately 1:00 p.m. on February 10, 2014, an employee was working as a helper, mechanic, or repair person for Pacific Operators Offshore, LLC, in Ventura, CA. The firm was primarily engaged in operating oil and gas field properties. She was working on the fuel system of a Chrysler gasoline-powered internal combu... | 22 |
Predict the degree of injury based on the description. | At approximately 7:30 a.m. on August 12, 2017, an employee was cutting a piece o f metal with a small manual shear cutting machine. The unguarded shear cut the e mployee's left thumb tip. The employee was not hospitalized. | 33 |
Predict the degree of injury based on the description. | At 9:45 a.m. on July 3, 2018, an employee was working for a firm that engaged in the construction of highways, streets, and bridges. He was setting or adjusting a bridge plank on the ground adjacent to a steel bridge truss that was being re located in a storage lot. The steel bridge truss spanned between 3.4 meters (11... | 11 |
Predict the degree of injury based on the description. | At approximately 12:00 a.m. on January 10, 2021, an employee of a long-term care facility, who tested positive for the COVID-19 virus on a routine bi-weekly test, was hospitalized 7 days later and died, due to complications of the infection. | 11 |
Predict the degree of injury based on the description. | At 3:30 p.m. on March 7, 2017, Employee #1, employed by a manufacturer of manufactured stone products, was instructed to change his work position at a moving mo ld frame. He moved into a dangerous area of the molding machine. As he attempt ed to dispose of excess material, his left arm became caught in a pinch point. E... | 22 |
Predict the degree of injury based on the description. | At 8:30 a.m. on November 29, 2017, Employee #1 tried to move a motor to prevent it from scraping the side of a portable mixer. His glove got caught in the shaft of the mixer, amputating his right pinky fingertip. | 33 |
Predict the degree of injury based on the description. | At 11:17 a.m. on January 29, 2018, Employee #1 was bringing a fiber optic line t o the outside of a customer's residential home. He fastened one line onto an extension ladder and was installing the end of the second line to the exterior of t he customer's house, when a local Muni bus drove by and snagged one of the fib... | 22 |
Predict the degree of injury based on the description. | At approximately 1:45 p.m. on January 11, 2013, Employee #1, a quality control inspector, was assessing a drywall installation in a building on a construction site. A building, which was under construction, was a 14,000 square foot two-stor y structure. He was inspecting the drywall installation before the taping opera... | 22 |
Predict the degree of injury based on the description. | At 9:00 a.m. on June 25, 2020, an employee who worked for a major metropolitan area police department died from COVID-19. The date, time and other details lead ing up to exposure are not indicated in the narrative. Information regarding engineering, administrative and personal protective equipment controls for COVID-19... | 11 |
Predict the degree of injury based on the description. | At 10:25 a.m. on May 30, 2019, Employee #1 was engaged in exterior carpentry work for a three-story residential structure. He was working on an unsecured ladder when the ladder's foot shifted on loose soil, causing the employee to fall 8 feet. The employee was transported to the hospital and admitted for treatment of a... | 22 |
Predict the degree of injury based on the description. | On June 6, 2013, Employee #1, with Safeway Inc., was cleaning the trash conveyor when his right hand was caught by the roller. Employee #1 was hospitalized, wit h fractures of the shoulder and arm. | 22 |
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