Psychopharmacology Algorithms by David Osser

Psychopharmacology Algorithms by David Osser

Algorithms serve an important purpose in the field of psychopharmacology as heuristics for avoiding the biases and cognitive lapses that are common when prescribing for many conditions whose treatment is based on complex data. Unique in the field, this title compiles twelve papers from the Psychopharmacology Algorithm Project at the Harvard South Shore Psychiatry Residency Training Program and presents practical ways to adopt evidence-based practices into the day-to-day treatment of patients. Psychopharmacology Algorithms is a useful resource for practicing psychiatrists, residents, and fellows, as well as psychiatric nurse practitioners, psychiatric physician assistants who prescribe, advanced practice pharmacists who prescribe, and primary care clinicians. Teachers of psychopharmacology may find it particularly valuable.  Researchers in clinical psychopharmacology may find it helpful in identifying important practice areas that are in need of further study. Contains ten updated psychopharmacology treatment algorithms designed to assist with the clinical use of psychiatric medications, each complete with extensive critical evaluation of the evidence supporting the rationales for each treatment step and the advantages and disadvantages of various alternatives to the recommended treatments. Provides introductory material explaining the usefulness of algorithms as clinical tools and how to make best use of the algorithms in the book. Papers focusing on inpatient psychopharmacology, and on residency training in psychopharmacology using the algorithms are included Annual updates to the accompanying eBook are planned. Prepared by David N. Osser, MD, general editor of the Psychopharmacology Algorithm Project at the Harvard South Shore Program and its website psychopharm.mobi, Associate Professor of Psychiatry at Harvard Medical School,  and an editorial board member of several psychiatric and psychopharmacology journals and the Model Curriculum for Psychopharmacology of the American Society of Clinical Psychopharmacology.  Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech.

Arash Ansari, MD is an Assistant Professor of Psychiatry at Harvard Medical School. Over the past 20 years, he has taught psychopharmacology to Harvard Medical School students and psychiatric residents. Dr. Ansari practiced inpatient and outpatient psychiatry at the Brigham and Women's Faulkner
Hospital, where he received the 2008 Arthur R. Kravitz, M.D. Award for Excellence in Psychiatric Teaching and Education. He has subsequently practiced psychiatry in private practice and at the Harvard University Health Services in Cambridge, MA.

David N. Osser, MD, is an Associate Professor of Psychiatry at Harvard Medical School and attending psychiatrist at the VA Boston Healthcare System, Brockton Division, where he organizes the psychopharmacology curriculum for residents at the Harvard South Shore Psychiatry Residency Training Program.
He is general editor of the website www.psychopharm.mobi http: //www.psychopharm.mobi/. Dr. Osser was the recipient of the 2012 Mentorship Award from the American Psychiatric Association in recognition of substantial and formative contributions to the mentoring of students and residents throughout a
distinguished career in psychiatric research and the 2015 Stuart T. Hauser Mentorship Award in Psychiatry from the Harvard Medical School Psychiatry Executive Committee.

Dr. Ansari and Dr. Osser do not have any affiliations with the pharmaceutical industry.

SKU	Unavailable
ISBN 13	9781975151195
ISBN 10	1975151194
Title	Psychopharmacology Algorithms
Author	David Osser
Condition	Unavailable
Binding Type	Paperback
Publisher	Wolters Kluwer Health
Year published	2020-11-27
Number of pages	372
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable