[Annotatie]: Künftige Generationen von Geräten zur Diagnose und zur Patientenüberwachung müssen direkt und bruchstellenfrei mit medizinischen Informationssystemen zusammenarbeiten, damit der Gesundheitsanbieter effektive Pflege und Therapie für die Patienten gewährleisten kann. Dieses grundlegende Werk für Ingenieure,Ärzte, Bioinformatiker und Hersteller von HIS/CPR-Geräten ist ein Meilenstein auf dem Weg zur Nutzung medizinischer Informationssysteme - Electronic Medical Record (EMR), Health Information System (HIS) und Computerized Patient Record (CPR). Es bietet eine Menge Informationen, die man von Herstellern in der Regel nicht bekommt. Dabei informiert es nicht nurüber die technischen Fakten, sondern auch darüber, wie man Wissens- und Patientendatenmanagement betreibt, und es macht deutlich, welche Datenmengen verarbeitet und wie sie ausgewertet werden müssen, damit ein effektiver Einsatz am Behandlungsort möglich ist. Abgerundet wird das Buch durch ein Kapitel, das sich mit der Zukunft der Datenerfassung, -speicherung und -nutzung beschäftigt. [Inhoudsopgave]: 1. The Medical Device Integration Landscape. 1.1 Introduction. 1.2 Medical Device Integration Landscape. 1.3 Evolving Standards in Medical Device Communication (IEEE/ISO& MD PnP ). 1.4 Data Integration: A First Look. 1.5 Discussion. 2. Device Networking and Communication. 2.1 Medical Device Interfaces. 2.2 Communication Methods. 2.3 Interface Standardization. 2.4 Medical Device Gateways. 2.5 Medical Device Gateway Networking. 2.6 Summary. 3. Mechanisms for Interfacing and Integrating Device Data. 3.1 Medical Device Interfaces. 3.2 Communication Interface Architectures. 3.3 Standardized Data Interfacing Formats. 3.4 Other Medical Device Data. 4. Real Time and Non Real Time Data Management. 4.1 Real Time Vital Signs Monitoring& Telemetry. 4.2 Communication Protocols& Networking. 4.3 End User Display. 4.4 Real Time Data and the EMR. 5. Computer Based Patient Record. 5.1 EMR: What s in a Name? 5.2 EMR Data. 5.3 EMR Architecture. 5.4 Make versus Buy Decisions. 6. Correctly Associating Device Data with Patients. 6.1 Identifying the Patient. 6.2 A Patient Data Association Scenario. 6.3 Associating Data with Patients During Normal Rounds. 6.4 Summary. 7. Balancing Data Quantity with Quality: Techniques for Data Analysis and Reduction 7.1 Analyzing Medical Data. 7.2 ICU Patient Data. 7.3 Simple Statistics Modeling. 7.4 Nonparametric Tests for Significance. 7.5 Least Squares Regression. 7.6 Spatial Temporal Methods for Data Filtering. 7.7 Kalman Filtering. 7.8 Summary. 8. How to Display Data in a Flowsheet. 8.1 Guidelines for Effective Displays of Data. 8.2 The Data Story. 8.3 Displaying Medical Device Data. 8.4 A User Interface that Stresses Data Comparisons. 8.5 Data Validation Mechanisms. 8.6 Key Points in User Interface Design. 9. Interface Software as a Medical Device. 9.1 The Need for Quality and Regulatory Management. 9.2 Regulatory Requirements and Process. 9.3 FDA Guidance on Software. 9.4 FDA and the EMR. 9.5 Summary. 10. The Future of Medical Device Integration, Including Device Command& Control. 10.1 Introduction. 10.2 Automatic Control Systems. 10.3 Mathematical Development and Application. 10.4 Automatic Control System Theory. 10.5 Discussion 11. Example Methods and Software. 11.1 Implementation Overview. 11.2 Serial Port Communications. 11.3 Mechanical Ventilator. 11.4 Chi Square Probability Distribution. 11.5 Matrix Inversion. 11.6 Hear Wavelet Transform. 11.7 User Interface Program. List of Abbreviations. Index.
Inhoudsopgave:
The Medical Device Integration Landscape Device networking and communication Mechanisms for interfacing and integrating device data Real-time and non-real-time data management Computer-based patient record Correctly associating device data with patients Balancing data quantity with quality: techniques for data analysis and reduction How to display data in a flowsheet Interface software as a medical device The future of medical device integration, including device command & control Example methods and software
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