{"product_id":"managing-your-patients-data-in-the-neonatal-and-pediatric-icu-isbn-9780727918703","title":"Managing your Patients' Data in the Neonatal and Pediatric ICU","description":"\u003ci\u003eWith accompanying software!\u003c\/i\u003e \u003cbr\u003e \u003cp\u003eClinicians manage a lot of data - on assorted bits of paper and in their heads. This book is about better ways to manage and understand large amounts of clinical data. Following on from his ground breaking book, \u003ci\u003eEvaluating the Processes of Neonatal Intensive Care\u003c\/i\u003e, Joseph Schulman has produced this eminently readable guide to patient data analysis. He demystifies the technical methodology to make this crucial aspect of good clinical practice understandable and usable for all health care workers.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eComputer technology has been relatively slow to transform the daily work of health care, the way it has transformed other professions that work with large amounts of data. Each day, we do our work as we did it the day before, even though current technology offers much better ways.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eHere are much better ways to document and learn from the daily work of clinical care. Here are the principles of data management and analysis and detailed examples of how to implement them using computer technology.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eTo show you that the knowledge is scalable and useful, and to get you off to a running start, the book includes a complete point of care database software application tailored to the neonatal intensive care unit (NICU).\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eWith examples from the NICU and the pediatric ward, this book is aimed specifically at the neonatal and pediatric teams. The accompanying software can be downloaded on to your system or PDA, so that continual record assessment becomes second nature – a skill that will immeasurably improve practice and outcomes for all your patients.\u003c\/p\u003e  1 Introduction. \u003cp\u003e\u003cb\u003ePart I Managing data and routine reporting\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection 1 The process of managing clinical data\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e2 Paper-based patient records.\u003c\/p\u003e \u003cp\u003e3 Computer-based patient records.\u003c\/p\u003e \u003cp\u003e4 Aims of a patient data management process.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection 2 Modeling data: Accurately representing our work\u003c\/b\u003e \u003cb\u003eand storing the data so we may reliably retrieve them\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e5 Data, information, and knowledge.\u003c\/p\u003e \u003cp\u003e6 Single tables and their limitations.\u003c\/p\u003e \u003cp\u003e7 Multiple tables: where to put the data, relationships among tables, and creating a database.\u003c\/p\u003e \u003cp\u003e8 Relational database management systems: normalization (Codd’s rules).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection 3 Database software\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e9 From data model to database software.\u003c\/p\u003e \u003cp\u003e10 Integrity: anticipating and preventing data accuracy problems.\u003c\/p\u003e \u003cp\u003e11 Queries, forms, and reports.\u003c\/p\u003e \u003cp\u003e12 Programming for greater software control.\u003c\/p\u003e \u003cp\u003e13 Turning ideas into a useful tool: eNICU, point of care database software for the NICU.\u003c\/p\u003e \u003cp\u003e14 Making eNICU serve your own needs.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection 4 Database administration.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15 Single versus multiple users.\u003c\/p\u003e \u003cp\u003e16 Backup and recovery: assuring your data persists.\u003c\/p\u003e \u003cp\u003e17 Security: controlling access and protecting patient confidentiality.\u003c\/p\u003e \u003cp\u003eConclusion - Part I: Maintaining focus on a moving target.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Learning from aggregate experience: exploring and analyzing data sets\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection 5 Interrogating data\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e18 Asking questions of a data set: crafting a conceptual framework.\u003c\/p\u003e \u003cp\u003eand testable hypothesis.\u003c\/p\u003e \u003cp\u003e19 Stata: a software tool to analyze data and produce graphical.\u003c\/p\u003e \u003cp\u003edisplays.\u003c\/p\u003e \u003cp\u003e20 Preparing to analyze data.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection 6 Analytical concepts and methods\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003e21 Variable types.\u003c\/p\u003e \u003cp\u003e22 Measurement values vary: describing their distribution and summarizing them quantitatively.\u003c\/p\u003e \u003cp\u003e23 Data from all versus some: populations and samples.\u003c\/p\u003e \u003cp\u003e24 Estimating population parameters: confidence intervals.\u003c\/p\u003e \u003cp\u003e25 Comparing two sample means and testing a hypothesis.\u003c\/p\u003e \u003cp\u003e26 Type I and type II error in a hypothesis test, power, and sample size.\u003c\/p\u003e \u003cp\u003e27 Comparing proportions: introduction to rates and odds.\u003c\/p\u003e \u003cp\u003e28 Stratifying the analysis of dichotomous outcomes: confounders and effect modifiers; the Mantel–Haenszel method.\u003c\/p\u003e \u003cp\u003e29 Ways to measure and compare the frequency of outcomes, and standardization to compare rates.\u003c\/p\u003e \u003cp\u003e30 Comparing the means of more than two samples.\u003c\/p\u003e \u003cp\u003e31 Assuming little about the data: nonparametric methods of hypothesis testing.\u003c\/p\u003e \u003cp\u003e32 Correlation: measuring the relationship between two continuous variables.\u003c\/p\u003e \u003cp\u003e33 Predicting continuous outcomes: univariate and multivariate linear regression.\u003c\/p\u003e \u003cp\u003e34 Predicting dichotomous outcomes: logistic regression, and receiver operating characteristic.\u003c\/p\u003e \u003cp\u003e35 Predicting outcomes over time: survival analysis.\u003c\/p\u003e \u003cp\u003e36 Choosing variables and hypotheses: practical considerations.\u003c\/p\u003e \u003cp\u003eConclusion The challenge of transforming data and information to shared knowledge: tools that make us smart.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e \u003cp\u003eCD ROM: eNICU files; practice data sets back cover.\u003c\/p\u003e \u003cp\u003e“Microsoft, Access, SQL Server, andWindows are either registered trademarks or trademarks of Microsoft Corporation in the United States and\/or other countries.”\u003c\/p\u003e \"A detailed and practical guide how to manage the large amount of clinical data accummulated in ICU's with special orientation to neonatal intensive care units. .For neonatologists who want to learn from what they do\" \u003ci\u003ePediatric Endocrinology Reviews December 2007\u003c\/i\u003e \u003cb\u003eJoseph Schulman,\u003c\/b\u003eMD, MS Division of Newborn Medicine, Weill Medical College of Cornell University, New York-Presbyterian Hospital, New York, USA  \u003ci\u003eWith accompanying software!\u003c\/i\u003e \u003cbr\u003e \u003cp\u003eClinicians manage a lot of data - on assorted bits of paper and in their heads. This book is about better ways to manage and understand large amounts of clinical data. Following on from his ground breaking book, \u003ci\u003eEvaluating the Processes of Neonatal Intensive Care\u003c\/i\u003e, Joseph Schulman has produced this eminently readable guide to patient data analysis. He demystifies the technical methodology to make this crucial aspect of good clinical practice understandable and usable for all health care workers.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eComputer technology has been relatively slow to transform the daily work of health care, the way it has transformed other professions that work with large amounts of data. Each day, we do our work as we did it the day before, even though current technology offers much better ways.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eHere are much better ways to document and learn from the daily work of clinical care. Here are the principles of data management and analysis and detailed examples of how to implement them using computer technology.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eTo show you that the knowledge is scalable and useful, and to get you off to a running start, the book includes a complete point of care database software application tailored to the neonatal intensive care unit (NICU).\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eWith examples from the NICU and the pediatric ward, this book is aimed specifically at the neonatal and pediatric teams. The accompanying software can be downloaded on to your system or PDA, so that continual record assessment becomes second nature – a skill that will immeasurably improve practice and outcomes for all your patients.\u003c\/p\u003e","brand":"BMJ Books","offers":[{"title":"Default Title","offer_id":47989569749221,"sku":"NP9780727918703","price":111.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780727918703.jpg?v=1761784638","url":"https:\/\/k12savings.com\/products\/managing-your-patients-data-in-the-neonatal-and-pediatric-icu-isbn-9780727918703","provider":"K12savings","version":"1.0","type":"link"}