Erhältlich:
Nicht auf Lager
Buch (Hardcover): Fachbuch
Secondary Analysis of Electronic Health Records
Produkt bewerten
Verlag:
Springer Verlag Unsere-Artikel-Nr.: LG88WK4
EAN: 9783319437408
Erhältlich:
Nicht auf Lager
Zustellung: Fr, 17.07.2026
Versand: Kostenlos
-15.6 %
CHF 70.–
CHF 59.07
Beschreibung
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizableto every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e. g. , a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Spezifikationen
Sprache
- Englisch
Autor
- Mit Critical Data
Thema
- Mathematische Statistik: Stochastik
- Philosophie: Ethik & Moralphilosophie
- Datenbanken: Data Mining
- Apps: Industrie & Technologie
- Künstliche Intelligenz: Wissensbasierte Systeme
Zielgruppe
- Graduate
Erscheinungsjahr
- 2016
Erscheinungsland
- Schweiz
Format
- Buch (Hardcover)
Anzahl Seiten
- 427
