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Record Nr. |
UNINA9910456076003321 |
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Autore |
Edwards Marilyn |
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Titolo |
The Informed Practice Nurse [[electronic resource]] |
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Pubbl/distr/stampa |
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ISBN |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (337 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Nurse practitioners - Great Britain |
Primary care (Medicine) - Great Britain |
Nursing Care - methods |
Family Practice |
Nurse Practitioners |
Nursing Process |
Electronic books. |
United Kingdom |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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The Informed Practice Nurse; Contents; Contributors; Preface; Introduction; Chapter 1: Ethics; Ethics, philosophies and codes of practice; Issues of consent; Respect for patient autonomy in general practice; Summary; Chapter 2: Management; Organisations; Change management; Clinical governance in general practice; Time Management; Summary; Chapter 3: Infection Control; Introduction; Pathology of infection; Standard precautions; Minor surgery within general practice; Waste; Protection of staff and patients; Control of Substances Hazardous to Health (COSHH); Vaccine storage |
Healthcare associated infectionsInfestations; Notifiable diseases; Summary; Appendix; Chapter 4: Health Promotion; Needs assessment; Social class and health needs; Practice and community profiles; Promoting pre-conception care; Infections; Genetic disorders; Women with diabetes mellitus; Prevention and management of osteoporosis; Summary; Chapter 5: Men's Health; Social issues surrounding men's |
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health; Healthcare services; Well men; Improving men's health; Testicular cancer; Prostate cancer; Men who have sex with men; Summary; Chapter 6: Women's Health; The invisible minority |
health needs of lesbian womenPremenstrual syndrome; Domestic violence (domestic abuse); Summary; Chapter 7: Health Needs of Young People; Nutritional issues in young people; Eating disorders; Teenage healthcare; Summary; Chapter 8: Wound Management in General Practice; Types of wound; The healing process; Wound assessment; General assessment of the patient - factors affecting healing; Wound cleansing; The ideal dressing; Dressing types; Management of minor traumatic wounds; Management of post-operative wounds; Management of leg ulcers; Nursing management; Summary |
Chapter 9: Moving Practice Nursing ForwardNursing in practice; Nurse-led management in clinical care; Skill mix; Nonmedical prescribing (nurse prescribing); Triage; The primary healthcare team; Training; Reflective practice; Clinical supervision; Practice based commissioning; Nurse partnerships; The future; Summary; Index |
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Sommario/riassunto |
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This level of nurse works largely independently and their work is managed rather than supervised. They are able to demonstrate their duties to less experienced employees and supervise students, and can undertake surveys or audits. They may occasionally participate in research and development, clinical trials or equipment testing. The second edition of The Informed Practice Nurse offers both the new and experienced practice nurse the opportunity to reflect on their current practice. The chapter content is evidence based and accurately referenced, making it an essential text for students on un |
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2. |
Record Nr. |
UNISA996466452603316 |
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Titolo |
Computational Methods and Clinical Applications in Musculoskeletal Imaging [[electronic resource] ] : 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers / / edited by Tomaž Vrtovec, Jianhua Yao, Guoyan Zheng, Jose M. Pozo |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XII, 153 p. 74 illus., 63 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11404 |
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Disciplina |
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Soggetti |
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Optical data processing |
Artificial intelligence |
Health informatics |
Image Processing and Computer Vision |
Artificial Intelligence |
Health Informatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images -- Fully automatic teeth segmentation in adult OPG images -- Fully Automatic Planning of Total Shoulder Arthroplasty without Segmentation: A Deep Learning Based Approach -- Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images -- Pelvis segmentation using multi-pass U-net and iterative shape estimation -- Bone Adaptation as Level Set Motion -- Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting -- Perthes Disease Classification Using Shape and Appearance Modelling -- Deep Learning Based Rib Centerline Extraction and Labeling -- Automatic Wrist Fracture Detection From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach -- Bone Reconstruction and Depth Control During Laser Ablation -- Automated Dynamic 3D Ultrasound |
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Assessment of Developmental Dysplasia of the Infant Hip -- Automated Measurement of Pelvic Incidence from X-Ray Images. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 6th International Workshop on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging. |
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