Recommendation Long-Term Care
Many patients in nursing homes are at risk of malnutrition and their muscle mass begins to decline as they age. Patients with impaired physical functions due to aging or surgery faces a greater chance of falling which will increase the need for physical rehabilitation. To prevent malnutrition, patients must be weighed regularly. Hence the perfect solution to use a seca scale or measuring system.
seca 676
EMR-validated wheelchair scale with handrail
- Basic
- Advanced
- Premium
800 lbs
0.1 lb
38.0 kg
920 mm
1,120 mm
1,150 mm
Safe weighing – even when standing is difficult.
Body weight is the key factor in determining a patient's nutritional status. The wireless multifunction scale seca 676 obtains this parameter precisely and reliably.
Safety is ensured by the handrail that weak and elderly nursing home residents can hold for stability while being weighed. There is no effect on the measurement no matter how heavily the patient leans on the handrail. Alternatively, the patient can be weighed in a wheelchair or a nurse can step onto the scale with the patient and then deduct his/her weight with the TARE function.
Although the scale is large, the foldable handrail and transport castors make it easy to store upright on its side. Standard equipment for the scale includes the seca 360° wireless module which transmits measurements to the software seca analytics 115 installed on a PC, to be documented and monitored over time.
seca analytics 115
Medical PC software for diagnostic assistance
- Basic
- Advanced
- Premium
Windows (R) 7 (SP1)
Windows (R) 8
Windows (R) 8.1
Windows (R) Server 2008
Windows (R) Server 2012
Windows (R) Server 2012 R2
Windows (R) Vista (SP1, SP2)
Windows Server 2008 R2
Simple and fast – all results captured in one step.
At the press of a key, the seca analytics 115 PC software receives wireless transmission of weight and height data and stores the results in patient files. All results of the body composition analysis made with the seca mBCA 514 are also captured.
With this data set, changes in weight and body composition can be tracked over time, for example, as part of cachexia monitoring.
