In this episode, host Megan Srinivas, MD, MPH is joined by Patricia Posa, RN, BSN, the quality and safety program manager for University of Michigan Health, in a conversation about hospital-acquired infections (HAIs), infection prevention, and nurse driven protocols. Discussion…
Within the Artificial Intelligence Learning Series, learners will be introduced to keys concepts related to artificial intelligence (AI) and machine learning (ML) in health care. This module on navigating ethical and legal considerations of AI in health care will enable…
Within the Artificial Intelligence Learning Series, learners will be introduced to key concepts related to artificial intelligence (AI) and machine learning (ML) in health care. This module on practical applications of AI in the health system will enable you to…
This activity is comprised of five multiple-choice questions based on the content of an AMA Journal of Ethics podcast about the key roles of infectious disease pharmacists in antimicrobial stewardship. The featured guests are Drs Lynne Fehrenbacher, a professor in…
In this episode of Stories of Care, host Megan Srinivas, MD, MPH talks with James Lewis, MD, a health officer with the Snohomish County Health Department. Dr Lewis underscores the importance of communication and collaboration in infection prevention across health…
This activity is comprised of five multiple-choice questions based on the content of an AMA Journal of Ethics podcast about health organizations’ responsibilities to protect employees and community members from AMR. The featured guest is Lloyd Duplechan, the president of…
Early diagnosis and appropriate management are crucial for improving the quality of life and prognosis for those with IEI. Advances in genetic research and therapies continue to improve outcomes for many patients with these disorders. However, IEI can be challenging…
Diagnostic errors are among the top allegations in US medical malpractice claims. While it’s impossible to eliminate all errors, there are some actions that can reduce the risks of diagnostic mistakes. One such action is to focus on each patient’s…
One in three pregnant patients run the risk of experiencing uterine tachysystole (UT) during labor augmentation or induction with oxytocin. Reducing UT diagnosis-to-treatment time can avert adverse patient outcomes and decrease the risk of an obstetric malpractice claim. This two-part…
One in three pregnant patients run the risk of experiencing uterine tachysystole (UT) during labor augmentation or induction with oxytocin. Reducing UT diagnosis-to-treatment time can avert adverse patient outcomes and decrease the risk of an obstetric malpractice claim. This two-part…
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