Nurse Practitioner in Goldendale, WA Accepting Medicare
3 Nurse Practitioner nurses found. Showing 1 - 3
 Sandra Lee Roberts, FNP Nurse Practitioner - Family Medicare: Accepting Medicare Assignments Practice Location: 310 S Roosevelt St, Goldendale, WA 98620 Phone: 407-592-4001 |
Theresa Raedel Rundell, ARNP Nurse Practitioner - Women's Health Medicare: Not Enrolled in Medicare Practice Location: 228 W Main St, Msch-14, Goldendale, WA 98620 Phone: 509-493-1558 Fax: 509-493-4025 |
Tamela Cook-mobley, APRN Nurse Practitioner - Family Medicare: Accepting Medicare Assignments Practice Location: 317 Sanders Way, Goldendale, WA 98620 Phone: 509-773-1407 Fax: 509-773-4543 |
News Archive
Only one in five patients qualified for free 'midlife MOT' takes NHS heart health check-ups
Only one in five patients eligible for a free "midlife MOT" on the NHS took up the offer in the first four years of the programme.
Endocrine disrupting chemicals can alter thyroid levels in pregnant women, may affect fetus
A new study led by biologist R. Thomas Zoeller of the University of Massachusetts Amherst provides "the strongest evidence to date" that endocrine disrupting chemicals such as polychlorinated biphenyls (PCB) found in flame retardant cloth, paint, adhesives and electrical transformers, can interfere with thyroid hormone action in pregnant women and may travel across the placenta to affect the fetus.
Baylor provides AED demonstrations on how to save people who experience sudden cardiac arrest
Exiting an elevator, a man crumples to the floor just outside the elevator. You, an innocent bystander, freeze. Then, you see the glass case on the wall with the heart and lightening decal. Whether or not you reach for that case and open it is a life or death decision for the stranger lying at the elevator doors.
New method could help doctors avoid ineffective or unnecessarily risky treatments
In a usual management setting, after a person has had a heart attack or stroke, algorithmic risk models are used to calculate the risk of death for the patient. These algorithms or models utilize various factors such as age of the patient, gender, previous history, family history, ethnicity etc.
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