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PErsonal learning

Volker Wenzel, Nikolaus Gravenstein
PURPOSE OF REVIEW: Mentoring is fundamentally valuable and important to students considering a path into our specialty, as well as to colleagues already in it and with ambition to advance. General principles and personal experiences are collected and described to help inform future mentors and to reinforce the value of having a mentor and the satisfaction (and work) that is associated with such a role. RECENT FINDINGS: Detecting a latent talent among medical students or residents may be challenging but is worth the effort to develop personal careers and the specialty itself...
October 18, 2016: Current Opinion in Anaesthesiology
Erin Dean
New research involving more than 350 care home nurses, managers, community healthcare professionals and nurse educators has identified priority areas for CPD - with personal care, dementia care and managing long-term conditions top of the list.
October 12, 2016: Nursing Standard
Anthony Scerri, Anthea Innes, Charles Scerri
The quality of care of persons with dementia in hospitals is not optimal and can be challenging. Moreover, staff may find difficulty in translating what they have learned during training into practice. This paper report the development and evaluation of a set of workshops using an appreciative inquiry approach to implement person-centred dementia care in two hospital wards. Staff worked collaboratively to develop a ward vision and to implement a number of action plans. Using appreciative inquiry approach, staff attitudes towards persons with dementia improved, inter-professional collaboration was enhanced and small changes in staff practices were noted...
October 6, 2016: Dementia
Hans Lehrach
Every human is unique. We differ in our genomes, environment, behavior, disease history, and past and current medical treatment-a complex catalog of differences that often leads to variations in the way each of us responds to a particular therapy. We argue here that true personalization of drug therapies will rely on "virtual patient" models based on a detailed characterization of the individual patient by molecular, imaging, and sensor techniques. The models will be based, wherever possible, on the molecular mechanisms of disease processes and drug action but can also expand to hybrid models including statistics/machine learning/artificial intelligence-based elements trained on available data to address therapeutic areas or therapies for which insufficient information on mechanisms is available...
September 2016: Dialogues in Clinical Neuroscience
Anita Kotwani, Chand Wattal, P C Joshi, Kathleen Holloway
OBJECTIVE: To explore the perceptions and knowledge of school teachers and students about antibiotic use, resistance, and suggestions for practical interventions for the rational use of antibiotics. METHODOLOGY: Five focus group discussions (FGDs) with high school students (Class: 9-11) and five with teachers were conducted in two private and three public schools (one teacher and one student FGD per school) in five municipal wards of Delhi. Qualitative data on antibiotic knowledge, resistance, and behaviors with respect to antibiotics use were collected...
July 2016: Indian Journal of Pharmacology
Kristin Wiisanen Weitzel, Caitrin W McDonough, Amanda R Elsey, Benjamin Burkley, Larisa H Cavallari, Julie A Johnson
Objective. To evaluate the impact of personal genotyping and a novel educational approach on student attitudes, knowledge, and beliefs regarding pharmacogenomics and genomic medicine. Methods. Two online elective courses (pharmacogenomics and genomic medicine) were offered to student pharmacists at the University of Florida using a flipped-classroom, patient-centered teaching approach. In the pharmacogenomics course, students could be genotyped and apply results to patient cases. Results. Thirty-four and 19 student pharmacists completed the pharmacogenomics and genomic medicine courses, respectively, and 100% of eligible students (n=34) underwent genotyping...
September 25, 2016: American Journal of Pharmaceutical Education
Esther I Bernhofer, Rose Hosler, Diana Karius
Providing optimal pain care for patients is essential to the work of nursing and a measure of patient satisfaction prompting some hospitals to offer pain management classes for clinicians. Although nurses generally do well on knowledge tests after attending a pain class, actual improvement in pain care for patients may not occur. The personal values of the clinician may be a key driver of pain-management decision making. Therefore, a segment on how clinicians' personal values influence pain care decisions was added to a large Midwestern hospital's pain management class...
October 15, 2016: Pain Management Nursing: Official Journal of the American Society of Pain Management Nurses
Benjamin L Cook, Ana M Progovac, Pei Chen, Brian Mullin, Sherry Hou, Enrique Baca-Garcia
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data...
2016: Computational and Mathematical Methods in Medicine
Philip Kitcher
Wisdom is a special kind of virtue. It is not to be identified with any outstanding cognitive ability-like having a prodigious memory or knowing a lot. Rather it consists in seeing what is most important and most valuable, either within a particular domain or in life as a whole. In the life of a wise person, that insight should be accompanied by traits of character, enabling the person to pursue what is seen as valuable. Viewing wisdom as a capacity for synthetic understanding, I argue for the need for philosophy, even at a time when all of us have much to learn from the sciences...
October 17, 2016: Annals of the New York Academy of Sciences
Sara Andertun, Åsa Hörnsten, Senada Hajdarevic
AIM: The aim of this study was to describe Norwegian healthcare staffs' experiences of participating in care of patients with Ebola virus disease in Sierra Leone. BACKGROUND: Ebola is one of the most feared viruses known. Ebola virus disease is highly contagious with high mortality. The few qualitative studies made on experiences among healthcare professionals have highlighted problems as lack of protective resources, insufficient personnel and risk of societal stigmatization...
October 16, 2016: Journal of Advanced Nursing
Akshansh Gupta, Dhirendra Kumar
A brain computer interface (BCI) is a communication system by which a person can send messages or requests for basic necessities without using peripheral nerves and muscles. Response to mental task-based BCI is one of the privileged areas of investigation. Electroencephalography (EEG) signals are used to represent the brain activities in the BCI domain. For any mental task classification model, the performance of the learning model depends on the extraction of features from EEG signal. In literature, wavelet transform and empirical mode decomposition are two popular feature extraction methods used to analyze a signal having non-linear and non-stationary property...
September 3, 2016: Brain Informatics
Jonathan M Highsmith, Karl L Wuensch, Tuan Tran, Alexandra J Stephenson, D Erik Everhart
ERP studies commonly utilize gambling-based reinforcement tasks to elicit feedback negativity (FN) responses. This study used a pattern learning task in order to limit gambling-related fallacious reasoning and possible affective responses to gambling, while investigating relationships between the FN components between high and low reward expectation conditions. Eighteen undergraduates completed measures of reinforcement sensitivity, trait and state affect, and psychophysiological recording. The pattern learning task elicited a FN component for both high and low win expectancy conditions, which was found to be independent of reward expectation and showed little relationship with task and personality variables...
April 18, 2016: Brain Informatics
Seid Muhie Yimam, Chris Biemann, Ljiljana Majnaric, Šefket Šabanović, Andreas Holzinger
In this article, we demonstrate the impact of interactive machine learning: we develop biomedical entity recognition dataset using a human-into-the-loop approach. In contrary to classical machine learning, human-in-the-loop approaches do not operate on predefined training or test sets, but assume that human input regarding system improvement is supplied iteratively. Here, during annotation, a machine learning model is built on previous annotations and used to propose labels for subsequent annotation. To demonstrate that such interactive and iterative annotation speeds up the development of quality dataset annotation, we conduct three experiments...
September 2016: Brain Informatics
Prawin Kumar, Himanshu Kumar Sanju, J Nikhil
Introduction Enhanced auditory perception in musicians is likely to result from auditory perceptual learning during several years of training and practice. Many studies have focused on biological processing of auditory stimuli among musicians. However, there is a lack of literature on temporal resolution and active auditory discrimination skills in vocal musicians. Objective The aim of the present study is to assess temporal resolution and active auditory discrimination skill in vocal musicians. Method The study participants included 15 vocal musicians with a minimum professional experience of 5 years of music exposure, within the age range of 20 to 30 years old, as the experimental group, while 15 age-matched non-musicians served as the control group...
October 2016: International Archives of Otorhinolaryngology
Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou
Modeling and predicting human behaviors, such as the level and intensity of physical activity, is a key to preventing the cascade of obesity and helping spread healthy behaviors in a social network. In our conference paper, we have developed a social influence model, named Socialized Gaussian Process (SGP), for socialized human behavior modeling. Instead of explicitly modeling social influence as individuals' behaviors influenced by their friends' previous behaviors, SGP models the dynamic social correlation as the result of social influence...
November 2016: Knowledge and Information Systems
G Iakimova, S Dimitrova, T Burté
OBJECTIVES: Computer-delivered Cognitive Behavioral Therapies (C-CBT) are emerging as therapeutic techniques which contribute to overcome the barriers of health care access in adult populations with depression. The C-CBTs provide CBT techniques in a highly structured format comprising a number of educational lessons, homework, multimedia illustrations and supplementary materials via interactive computer interfaces. Programs are often administrated with a minimal or regular support provided by a clinician or a technician via email, telephone, online forums, or during face-to-face consultations...
October 10, 2016: L'Encéphale
(no author information available yet)
Are occupational therapists (OTs) the key to tackling obesity in people with learning disabilities? Rebecca Haythorne, an OT student says the profession can play a crucial role by providing health promotion, education and bespoke exercise routines. OTs must urge carers to collaborate with the person in their care to help them become independent and develop the skills to gain control of their weight.
September 14, 2016: Nursing Standard
Christopher Patterson, Moira Stephens, Vico Chiang, Ann M Price, Fiona Work, Erna Snelgrove-Clarke
BACKGROUND: Personal learning environments (PLEs) have been shown to be a critical part of how students negotiate and manage their own learning. Understandings of PLEs appear to be constrained by narrow definitions that focus primarily on technological engagement with a range of web tools and associated applications. This paper addresses a gap in the literature around PLEs for students currently enrolled in undergraduate nursing degrees. PURPOSE: To provide in-depth insights into how undergraduate students of nursing manage and experience their learning...
September 26, 2016: Nurse Education Today
Alvin Rajkomar, Joanne Wing Lan Yim, Kevin Grumbach, Ami Parekh
BACKGROUND: Characterizing patient complexity using granular electronic health record (EHR) data regularly available to health systems is necessary to optimize primary care processes at scale. OBJECTIVE: To characterize the utilization patterns of primary care patients and create weighted panel sizes for providers based on work required to care for patients with different patterns. METHODS: We used EHR data over a 2-year period from patients empaneled to primary care clinicians in a single academic health system, including their in-person encounter history and virtual encounters such as telephonic visits, electronic messaging, and care coordination with specialists...
October 14, 2016: JMIR Medical Informatics
Yafit Maza, Efrat Shechter, Neta Pur Eizenberg, Efrat Gortler Segev, Moshe Y Flugelman
BACKGROUND: The physician manager role in the health care system is invaluable as they serve as role models and quality setters. The requirements from physician managers have become more demanding and the role less prestigious; yet burnout and its prevention in this group have received little attention. Physician leadership development programmes have generally dealt directly with skill and knowledge acquisition. The aim of this research was to evaluate an intensive workshop designed to modify attitudes and improve skills of physician-managers of community clinics, through focus on personal well-being and empowerment...
October 14, 2016: BMC Medical Education
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