Book introduces clinicians to SQL and using hands on examples on MIMIC2 - a publicly available, de-identified ICU database from Beth Israel Deaconess Medical Center and MIT Physionet - it enables care providers to query any database of an Electronic Health Record (EHR) and create meaningful reports to support their quality initiatives.IT professionals will benefit from a structured analysis of the main parameters that interest clinicians: diagnosis, procedure, lab, meds, imaging reports, nursing assessments and interventions, scoring systems, mortality, length of stay, readmissions' rate, costs, etc.Using this book, both clinicians and IT professionals can easily retrieve any information from the data in their EHR and discover new clinical insights hidden in their database.1. A Brief Database Primer12. MIMIC2 Clinical Database93. MySQL Workbench124. Introduction to the Mighty SELECT215. Aggregate / Summary Functions486. Querying Multiple Tables637. Entity Relationship Diagram - ERD768. Systematic information extraction919. Patient10210. Mortality12511. Length of stay (LOS)13912. Readmissions14513. Diagnosis15314. Sepsis profile17415. Lab20016. Drug21717. Procedure23018. Chart, note and much more23919. Provider and care unit24820. Nursing25921. Fluid26722. Score and scale274Appendix Answers to Questions
"synopsis" may belong to another edition of this title.
I am a physician board certified in Anesthesiology with a Bachelor's degree in computer sciences passionate about clinical informatics.
For more than two decades, I've worked with both vendors developing electronic health records and healthcare organizations implementing this technology, as a liaison between two highly educated groups of professionals-- clinicians and information technologists -- that unfortunately, rarely speak the same language.
This is my second book, trying to bridge this gap between medicine and informatics.
My first book being on the subject of Structured Systems Analysis of the EHR Medications Domain.
You can contact me by sending a letter, preferably in Structured Query Language and with a well-behaved homing dolphin, to the address mentioned in the book.
"About this title" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Book introduces clinicians to SQL and using hands on examples on MIMIC2 - a publicly available, de-identified ICU database from Beth Israel Deaconess Medical Center and MIT Physionet - it enables care providers to query any database of an Electronic Health Record (EHR) and create meaningful reports to support their quality initiatives.IT professionals will benefit from a structured analysis of the main parameters that interest clinicians: diagnosis, procedure, lab, meds, imaging reports, nursing assessments and interventions, scoring systems, mortality, length of stay, readmissions' rate, costs, etc.Using this book, both clinicians and IT professionals can easily retrieve any information from the data in their EHR and discover new clinical insights hidden in their database.1. A Brief Database Primer12. MIMIC2 Clinical Database93. MySQL Workbench124. Introduction to the Mighty SELECT215. Aggregate / Summary Functions486. Querying Multiple Tables637. Entity Relationship Diagram - ERD768. Systematic information extraction919. Patient10210. Mortality12511. Length of stay (LOS)13912. Readmissions14513. Diagnosis15314. Sepsis profile17415. Lab20016. Drug21717. Procedure23018. Chart, note and much more23919. Provider and care unit24820. Nursing25921. Fluid26722. Score and scale274Appendix Answers to Questions This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781544093376
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