Nurse Anesthetist - CR in Georgetown, TX Accepting Medicare
7 Nurse Anesthetist - CR nurses found. Showing 1 - 7
 Rhonda Hobbs Morris, CRNA Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 1004 South Rock Street, Easter Medical Staffing, Georgetown, TX 78626 Phone: 512-374-1876 Fax: 512-371-8788 |
Melanie Black, CRNA Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 1004 S Rock St, Georgetown, TX 78626 Phone: 512-374-1876 Fax: 512-371-8788 |
Michelle Marie Gaines, CRNA Nurse Anesthetist, Certified Registered Medicare: Medicare Enrolled Practice Location: 1004 S Rock St, Georgetown, TX 78626 Phone: 512-374-1876 |
Sonya Joy Londa, CRNA Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 1004 South Rock Street, Easter Medical Staffing, Georgetown, TX 78626 Phone: 512-374-1876 Fax: 512-371-8788 |
 Drew Darby, CRNA Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 1004 S Rock St, Georgetown, TX 78626 Phone: 512-279-0348 |
Suzanne S Sparks, CRNA Nurse Anesthetist, Certified Registered Medicare: Medicare Enrolled Practice Location: 101 Big Oak Ln, Georgetown, TX 78633 Phone: 817-946-3397 |
Toni Marie Hogan, CRNA Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 1004 South Rock Street, Westlake Anesthesia Group, Pa, Georgetown, TX 78626 Phone: 512-297-0348 Fax: 512-371-8788 |
News Archive
State roundup: Calif. retirees to retain health benefits; Emory, MinuteClinic partner in Ga.; Free services in Md.
Health benefits for government retirees may not be eliminated if state and local governments had clearly promised workers those benefits, the California Supreme Court ruled in an Orange County case Monday. The unanimous ruling is expected to make it more difficult for state and local governments to shave costs by cutting health benefits to retirees if elected officials in previous years made it clear that those benefits would last a lifetime.
New prostate cancer prediction tool has unmatched accuracy
A team of researchers from the Icahn School of Medicine at Mount Sinai and Keck School of Medicine at the University of Southern California have developed a novel machine-learning framework that distinguishes between low- and high-risk prostate cancer with more precision than ever before.
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Study examines consequences of muscle activity with surprising results
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