Nurse Anesthetist - CR in San Rafael, CA Accepting Medicare
3 Nurse Anesthetist - CR nurses found. Showing 1 - 3
 Jennifer Alexandria Clark, Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 99 Montecillo Rd, San Rafael, CA 94903 Phone: 925-229-7693 |
Christina Ramirez, Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 99 Montecillo Rd, San Rafael, CA 94903 Phone: 415-444-2000 |
Katherine Sarasas, Nurse Anesthetist, Certified Registered Medicare: Accepting Medicare Assignments Practice Location: 99 Montecillo Rd, San Rafael, CA 94903 Phone: 415-444-2879 |
News Archive
Study: OEND effectively addresses epidemic of fatal opioid overdose
In a study of communities in Massachusetts with high numbers of opioid overdose deaths, the implementation of overdose education and naloxone distribution (OEND) was associated with a significant reduction in opioid overdose death rates.
Best way to improve doctor's bedside manner may lie in new tool
The best way to improve a doctor's bedside manner may lie in a new tool that evaluates and helps medical residents improve their communication and other soft skills to become better doctors, according to a new study led by Women's College Hospital's Dr. Tim Dwyer.
Breast cancer patients taking tamoxifen anxious to have CYP2D6 genetic test
While the medical community continues to debate the benefits of CYP2D6 genetic testing for women on the breast cancer treatment tamoxifen, patients using the medication are anxious to have the tests. According to a new survey of more than 700 women with breast cancer currently taking tamoxifen, almost 80 percent of respondents would choose to have a genetic test that determines CYP2D6 genotype, yet only 14 percent of these women have been tested. CYP2D6 is an enzyme that influences how well the body processes tamoxifen into its more active form.
Key to controlling COVID-19 is early intervention
A study published in the journal Royal Society Open Science demonstrates the critical role of timely intervention in New Zealand's success story. The researchers used a stochastic branching process model to simulate the trajectory of COVID-19 transmission and control during New Zealand's 2020 outbreak. They calculated the number of reported cases and deaths and the probability of elimination within a defined time frame.
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