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 Free Download Excel 2016 - Teil 1: Die einfache Einführung für alle Altersstufen (Excel 2016 - Einführung) Deutsch | 6. März 2023 | ASIN: B0BXPP8MLX | 298 Seiten | Epub | 34.66 MB Excel 2016 - Teil 1 Die leichte Kursreihe mit mehreren Teilen von Wissenssprung! 1000-fach in zahlreichen Bildungseinrichtungen bewährt optimal zum Selbstlernen, auch für Senioren 390 Bilder! alle Schritte sind Mausklick für Mausklick beschrieben fast jeder Schritt ist bebildert sehr detaillierte Schritt-für-Schritt-Anleitungen sehr einfach und gut verständlich leichte Sprache, kein Fachchinesisch! viele konkrete Beispiele Inhalte Grundlagen von Microsoft Excel Programmaufbau und Bestandteile des Programmfensters Dateneingabe, -veränderung und -korrektur Formatieren (Gestalten) von Texten, Zahlen, Zellen und Tabellen Maustechniken Grundrechenarten: Addieren (Plus-Rechnen), Subtrahieren (Minus-Rechnen), Multiplizieren (Malnehmen), Dividieren (Teilen) Speichern und Öffnen von Dateien Kopieren und Einfügen von Zellen automatisches Ausfüllen von Zellen mit Texten, Zahlen und Berechnungen (Formeln) Ausdrucken von Tabellen einfaches Addieren mehrerer Zahlen Korrektur fehlerhafter Inhalte, Formate und Berechnungen Hinweise auf häufige Fehler Erklärung von Fachbegriffen Read more  Free Download Excel & Python for Healthcare Billing: Streamline Reimbursement: Build Efficient Revenue Cycles with Data-Driven Workflows English | December 9, 2025 | ASIN: B0G62KWH38 | 515 pages | Epub | 631.58 KB Reactive Publishing This book is your complete, end-to-end playbook for building a faster, cleaner, and more profitable healthcare billing operation. Designed for analysts, billing specialists, finance teams, and healthcare administrators, it shows how to combine the flexibility of Excel with the automation power of Python to eliminate bottlenecks, reduce errors, and accelerate reimbursement across every stage of the revenue cycle. The healthcare billing system is a data problem. Claims stall, denials stack up, and reimbursements slow when teams lack visibility, automation, and consistent workflows. This book gives you the tools to fix that. You'll learn how to structure claim data for analysis, automate routine tasks, generate red-flag reports, detect coding inconsistencies, and forecast reimbursement timelines with precision. You'll also learn how to build practical scripts that clean datasets, check coding accuracy, validate modifiers, identify denial patterns, and create dashboards that decision-makers can act on immediately. 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Over the pasttwenty years a number of guidelines have been published, however, these have been based on professional consensus rather than evidence. Evidence-Based Patient Handling tackles the challenge of producing an evidence base to support clinical practice and covers tasks, equipment and interventions. This book questions previously held opinions about moving and handling and provides the foundation for future practice.  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