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Nina Mcintosh's the educated heart : professional boundaries for massage therapists and bodyworkers
\"Now including an all-new chapter on professional boundaries and the Internet, this fully updated 4th Edition of Nina McIntosh's The Educated Heart, by Laura Allen provides a conversational style, easy-to-understand explanations of complex psychological dynamics, and practical suggestions for handling everyday boundary situations. Packed with real-world examples, and compelling online videos, this practical, compassionate book explores common situations bodyworkers and massage therapists encounter on the job and provides compassionate support and up-to-date information to help readers establish the solid professional boundaries they need for career success and personal well-being. The Fourth Edition includes enhanced coverage of the dynamics of the client-practitioner relationship, including specific suggestions for what to say to clients in difficult situations, as well as integrated coverage of the many boundary and confidentiality issues related to social media. New Consider This.
Book
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
This first article in a series describes the history of artificial intelligence in medicine; the use of AI in image analysis, identification of disease outbreaks, and diagnosis; and the use of chatbots.
Journal Article
The science of the sacred : bridging global indigenous medicine systems and modern scientific principles
\"Based on current medical research, Native American and naturopathic doctor Nicole Redvers identifies traditional healing methods developed centuries ago that address modern ailments and medical processes\"-- Provided by publisher.
Book
Artificial Intelligence in Medicine
The editors announce both a series of articles focusing on AI and machine learning in health care and the 2024 launch of a new journal,
NEJM AI
, a forum for evidence, resource sharing, and discussion of the possibilities and limitations of medical AI.
Journal Article
The Safety of Inpatient Health Care
Adverse events during hospitalization are a major cause of patient harm, as documented in the 1991 Harvard Medical Practice Study. Patient safety has changed substantially in the decades since that study was conducted, and a more current assessment of harm during hospitalization is warranted.
We conducted a retrospective cohort study to assess the frequency, preventability, and severity of patient harm in a random sample of admissions from 11 Massachusetts hospitals during the 2018 calendar year. The occurrence of adverse events was assessed with the use of a trigger method (identification of information in a medical record that was previously shown to be associated with adverse events) and from review of medical records. Trained nurses reviewed records and identified admissions with possible adverse events that were then adjudicated by physicians, who confirmed the presence and characteristics of the adverse events.
In a random sample of 2809 admissions, we identified at least one adverse event in 23.6%. Among 978 adverse events, 222 (22.7%) were judged to be preventable and 316 (32.3%) had a severity level of serious (i.e., caused harm that resulted in substantial intervention or prolonged recovery) or higher. A preventable adverse event occurred in 191 (6.8%) of all admissions, and a preventable adverse event with a severity level of serious or higher occurred in 29 (1.0%). There were seven deaths, one of which was deemed to be preventable. Adverse drug events were the most common adverse events (accounting for 39.0% of all events), followed by surgical or other procedural events (30.4%), patient-care events (which were defined as events associated with nursing care, including falls and pressure ulcers) (15.0%), and health care-associated infections (11.9%).
Adverse events were identified in nearly one in four admissions, and approximately one fourth of the events were preventable. These findings underscore the importance of patient safety and the need for continuing improvement. (Funded by the Controlled Risk Insurance Company and the Risk Management Foundation of the Harvard Medical Institutions.).
Journal Article
Key Issues as Wearable Digital Health Technologies Enter Clinical Care
The authors address the issues that must be confronted if we are to integrate the use of wearable digital health technologies into clinical care in a way that provides an enduring benefit to patients.
Journal Article
Where Medical Statistics Meets Artificial Intelligence
Challenges at the interface of medical statistics and AI are population inference vs. prediction, generalizability, reproducibility and interpretation of evidence, and stability and statistical guarantees.
Journal Article