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1. |
Record Nr. |
UNINA9910461694403321 |
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Titolo |
Health information management [[electronic resource] ] : principles and organization for health information services / / Margaret Skurka, editor |
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Pubbl/distr/stampa |
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San Francisco, : Jossey-Bass |
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Chicago, : Health Forum, 2003 |
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ISBN |
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1-280-67358-3 |
9786613650511 |
0-470-42956-9 |
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Edizione |
[5th ed.] |
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Descrizione fisica |
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1 online resource (287 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Medical records - Management |
Information storage and retrieval systems - Hospitals |
Electronic books. |
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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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Rev. ed. of: Health information management / Margaret A. Skurka. Rev. ed. c1998. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Health information management and the health care institution -- Content and structure of the health record / Faye Pickett -- The emergence of electronic patient record systems / Linda Kiger -- Information-capture design and principles / Desla Mancilla -- Health record analysis / Linda Kiger -- Numbering and filing systems / Nancy Coffman-Kadish -- Secondary health data / Nancy Coffman-Kadish -- Coding, compliance and reimbursement / Nancy Coffman-Kadish -- Health care databases and statistics / Elizabeth Contant -- Quality management and performance improvement / Nancy Coffman-Kadish -- Preservation of health records / Linda Kiger -- Location, space, and equipment requirements / Linda Kiger. |
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Sommario/riassunto |
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This is the fifth edition of the definitive reference source on the management of health records. Health Information Management provides the basic guidelines on content and structure, analysis, assessment, and improvement of information critical to every health care organization. This thoroughly revised and updated edition reflects the significant changes in the field and the most current and successful |
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practices most notably, the computerization of record operations and systems, and of the record itself. |
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2. |
Record Nr. |
UNINA9910869164803321 |
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Autore |
Cunha António |
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Titolo |
Wireless Mobile Communication and Healthcare : 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings / / edited by António Cunha, Anselmo Paiva, Sandra Pereira |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (494 pages) |
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Collana |
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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, , 1867-822X ; ; 578 |
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Altri autori (Persone) |
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PaivaAnselmo |
PereiraSandra |
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Disciplina |
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Soggetti |
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Application software |
Medical informatics |
Artificial intelligence |
Computer networks |
Computer and Information Systems Applications |
Health Informatics |
Artificial Intelligence |
Computer Communication Networks |
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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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Nota di contenuto |
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-- Medical, Communications and Networking. -- Geometric Perception of the Brain: a Classical Approach using Image Segmentation. -- Determination of Effective Connectivity of Brain Activity in the Resting Brain. -- Evanescent Wave Filtering for Ultrasound RF-Data Compression. -- SpinalTracking: An Application to Help Track Spinal Deformities. -- Optimising Wheelchair Path Planning. -- eDEM-CONNECT: An ontology-based chatbot for family caregivers of people |
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with dementia. -- Digital Imaging and Communications in Medicine (DICOM). Biomedical, and Health Informatics. -- A Cascade Approach for Automatic Segmentation of Coronary Arteries Calcification in Computed Tomography Images using Deep Learning. -- Evaluation of Transfer Learning with a U-Net Architectures for Kidney Segmentation. -- Training U-Net with Proportional Image Division for Retinal Structure Segmentation. -- Eff-Unet For Automated Trachea Segmentation On CT Images. -- A Vision Transformer Approach to Fundus Image Classification. -- Glaucoma Grading Using Fundus Images. -- Automatic Detection of Pathologies in Medical Images Using Deep Features and Machine Learning. -- Segmentation in Capsule Endoscopy Images Using TransUNet. -- Automating the Annotation of Medical Images in Capsule Endoscopy through Convolutional Neural Networks and CBIR. -- Similarity-Based Explanations for Deep Interpretation of Capsule Endoscopy Images. -- Deep Learning Applications in Histopathological Images. -- Tooth Detection and Numbering in Panoramic Radiographs using YOLOv8-Based Approach. -- Automatic Detection of Polyps Using Deep Learning. -- Detection of Landmarks in X-Ray Images through Deep Learning. -- Performance analysis of CNN models in the detection and classification of diabetic retinopathy. -- Deep Learning Model Evaluation and Insights in Inherited Retinal Disease Detection. -- Indoor air quality in a residential building – a health issue. -- Identification and detection in building images of biological growths – prevent a health issue. -- Informative classification of Capsule Endoscopy videos using Active Learning. -- Multimedia e-health data exchange services. Signal/Data Processing and Computing For Health Systems. -- Develop method to efficiently apply image-based facial emotion classification models to video data. -- DeepSquitoes: A mobile system framework for the surveillance of disease-carrying mosquitoes. -- BrainGain: a technological approach for increasing consciousness in coma patients. -- PHPlace: A New Perspective on Managing Pelvic Organ Prolapse Through Mobile Applications. -- Behavioural Changes using mHealth: An Experimental Case Study. -- Gym at Home - A Proof-of-Concept. -- Automatic Food Labels Reading System. -- Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People’s Cough Detection Models. -- EEG monitoring in driving using embedded systems. -- Complex systems and optimal pandemic control. -- Automated Classification of Prostate Cancer Severity using Pre-trained Models. |
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Sommario/riassunto |
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This book constitutes the refereed post-conference proceedings of the 12th International Conference on Mobile Communication and Healthcare, MobiHealth 2023, held in November 29-30, 2023 in Vila Real, Portugal. The 35 full papers of MobiHealth 2023 were carefully selected from 111 submissions and present science and technology aspects in the field of wireless communication, mobile computing and healthcare applications. The conference papers are organized in topical sections on: Medical, communications and networking; Digital imaging and communications in medicine (DICOM). Biomedical, and health informatics; Multimedia e-Health data exchange services. Signal/Data processing and computing for health systems. |
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