|
information technology |
7 |
|
musculoskeletal disorders |
6 |
|
primary care |
6 |
|
humans |
4 |
|
ehealth |
3 |
|
home care services |
3 |
|
internet |
3 |
|
mobile applications |
3 |
|
postnatal depression |
3 |
|
psychoeducation |
3 |
|
qigong |
3 |
|
randomized controlled trial |
3 |
|
smartphone technology |
3 |
|
usability |
3 |
|
user acceptance |
3 |
|
cell phone |
2 |
|
health information |
2 |
|
hypertension |
2 |
|
meta-analysis |
2 |
|
patient acceptance of health care |
2 |
|
smartphone |
2 |
|
accident prevention |
1 |
|
adult |
1 |
|
aged |
1 |
|
attitude of health personnel |
1 |
|
attitude to computers |
1 |
|
background colour |
1 |
|
behavioral compliance |
1 |
|
biotechnology - statistics & numerical data |
1 |
|
casper, g.r. |
1 |
|
communication |
1 |
|
communication systems |
1 |
|
community health nursing - education - methods |
1 |
|
complex chronic disease |
1 |
|
computer simulation |
1 |
|
consumer health information technology |
1 |
|
decision making |
1 |
|
diabetes |
1 |
|
diabetes self-management |
1 |
|
discrete choice experiment (dce) |
1 |
|
diseases |
1 |
|
drives |
1 |
|
education, nursing - methods |
1 |
|
exercise therapy |
1 |
|
facial skin temperature |
1 |
|
female |
1 |
|
flowcharting |
1 |
|
hazard and risk perception |
1 |
|
health attitudes |
1 |
|
health care surveys - methods |
1 |
|
health information technology |
1 |
|
heart diseases |
1 |
|
heart diseases - therapy |
1 |
|
heart failure - nursing |
1 |
|
home care |
1 |
|
home care services - trends - utilization |
1 |
|
human engineering - methods |
1 |
|
human factors |
1 |
|
human perception |
1 |
|
industrial robot |
1 |
|
industrial robots |
1 |
|
knee osteoarthritis |
1 |
|
knee pain |
1 |
|
kossman, s. |
1 |
|
laws and legislation |
1 |
|
male |
1 |
|
marginal willingness to pay (mwtp) |
1 |
|
mathematical models |
1 |
|
medical informatics - education |
1 |
|
mental workload |
1 |
|
mhealth |
1 |
|
middle aged |
1 |
|
mobile app |
1 |
|
mobile health apps |
1 |
|
models, nursing |
1 |
|
models, organizational |
1 |
|
non-intrusive physiological measure |
1 |
|
nurses - statistics & numerical data |
1 |
|
nursing care - trends - utilization |
1 |
|
nursing evaluation research - education |
1 |
|
nursing process |
1 |
|
nursing research |
1 |
|
patient rehabilitation |
1 |
|
personnel management |
1 |
|
program evaluation |
1 |
|
questionnaires |
1 |
|
references (118) view in table layout |
1 |
|
references (156) view in table layout |
1 |
|
references (45) view in table layout |
1 |
|
research |
1 |
|
risk assessment |
1 |
|
robot applications |
1 |
|
robots |
1 |
|
safe robot idle time |
1 |
|
safety symbol |
1 |
|
school of nursing, university of wisconsin-madison, madison, wisconsin, usa.,
© medline is the source for the citation and abstract of this record. |
1 |
|
school of nursing, university of wisconsin-madison, usa.,
© medline® is the source for the citation and abstract of this record. |
1 |
|
self care |
1 |
|
self-care |
1 |
|
self-efficacy |
1 |
|
self-management |
1 |
|
speed control |
1 |
|
systematic review |
1 |
|
systems integration |
1 |
|
task performance and analysis |
1 |
|
technological surrogate nursing |
1 |
|
technology assessment, biomedical |
1 |
|
telemedicine |
1 |
|
telenursing |
1 |
|
thermography |
1 |
|
type 2 diabetes |
1 |
|
type 2 diabetes mellitus |
1 |
|
vehicles |
1 |
|
virtual reality |
1 |
|
wisconsin |
1 |
|
work system |
1 |
|
workload |
1 |
