Difference between revisions of "SMHS Preface"

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===Features===
 
===Features===
There are 4 novel features of this specific ''EBook''. It is community-built, completely open-access (in terms of use and contributions) and multilingual; it also blends information technology, scientific techniques and modern pedagogical concepts.
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There are 4 novel features of this specific ''EBook''. It is multilingual, community-built, completely open-access (in terms of use and contributions), and combinative of information technology, scientific techniques and modern pedagogical concepts.
  
 
===Background===
 
===Background===
The University of Michigan, School of Nursing (UMSN) enrolls over 1,000 students, with approximately 280 MSN, 26 DNP, and 60 PhD students. Annually, there are about 15 new UMSN doctorate students (DNP+PhD) admitted into the program. In addition, the University of Michigan Health Sciences (UMHS) includes dozens of schools, departments and institutes training hundreds of doctoral students in different quantitative, analytics, and health science disciplines. The UMSN Analytics Core has been charged by Dean Potempa to modernize the UMSN analytical methods curriculum and to:
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The [http://nursing.umich.edu/ University of Michigan School of Nursing] (UMSN) enrolls over 1,000 students, with approximately 280 MSN, 26 DNP, and 60 PhD students. Annually, there are about 15 new UMSN doctorate students (DNP & PhD) who are admitted into the program. In addition, the [http://www.uofmhealth.org/ University of Michigan Health System] (UMHS) includes dozens of schools, departments and institutes training hundreds of doctoral students in different quantitative, analytics, and health science disciplines. The UMSN Analytics Core has been charged by [http://nursing.umich.edu/faculty-staff/kathleen-potempa Dean Kathleen Potempa] to modernize the UMSN analytical methods curriculum and to:
* Improve the research skills of doctorate students,
+
* Improve the research skills of doctorate students
* Reduce the observed broad variation of doctoral students’ research abilities,
+
* Reduce the observed broad variation of doctoral students’ research abilities
* Increase the research output of the School as a whole.
+
* Increase the research output of the School as a whole
  
The Charter of the Analytics Core is to provide doctoral healthscience students with rigorous analytics training and learning experience via a robust series of analytic courses offered by UMSN faculty. The Scientific Methods for Health Sciences EBook is designed specifically for the [http://www.socr.umich.edu/people/dinov/SMHS_Courses.html UMSN HS550-HS853 courses], which aim to reduce the variation of analytic skills, scientific knowledge and quantitative abilities of the health sciences graduate students. The unified objective of these courses is to prepare exclusive cadres of nursing and healthcare scientists capable of leading scientific teams in the conception of research proposals with strong methodological designs and analytic approaches to address innovative study aims.  
+
The Charter of the Analytics Core is to provide doctoral health science students with rigorous analytics training and learning experience via a robust series of analytic courses offered by UMSN faculty. The Scientific Methods for Health Sciences EBook is designed specifically for the [http://www.socr.umich.edu/people/dinov/SMHS_Courses.html UMSN HS550-HS853 courses], which aim to reduce the variation of analytic skills, scientific knowledge and quantitative abilities of health sciences graduate students. The unified objective of these courses is to prepare exclusive cadres of nursing and healthcare scientists for leading scientific teams and for conceiving research proposals with strong methodological designs and analytic approaches to address innovative study aims.  
  
  

Latest revision as of 14:21, 18 March 2015

Scientific Methods for Health Sciences - Preface

Overview

The Scientific Methods for Health Sciences EBook is published by SOCR Publishing and is made available to the entire community under a permissive copyright policy. The materials, tools and demonstrations presented in this EBook may be helpful to learners, instructors and scientists who are involved in biomedical, healthcare, Big Data, and informatics studies. The EBook is initially developed by the University of Michigan Statistics Online Computational Resource (SOCR). However, many students, faculty, educators and members of the community participate in expanding, improving and validating the content of these learning materials.

Features

There are 4 novel features of this specific EBook. It is multilingual, community-built, completely open-access (in terms of use and contributions), and combinative of information technology, scientific techniques and modern pedagogical concepts.

Background

The University of Michigan School of Nursing (UMSN) enrolls over 1,000 students, with approximately 280 MSN, 26 DNP, and 60 PhD students. Annually, there are about 15 new UMSN doctorate students (DNP & PhD) who are admitted into the program. In addition, the University of Michigan Health System (UMHS) includes dozens of schools, departments and institutes training hundreds of doctoral students in different quantitative, analytics, and health science disciplines. The UMSN Analytics Core has been charged by Dean Kathleen Potempa to modernize the UMSN analytical methods curriculum and to:

  • Improve the research skills of doctorate students
  • Reduce the observed broad variation of doctoral students’ research abilities
  • Increase the research output of the School as a whole

The Charter of the Analytics Core is to provide doctoral health science students with rigorous analytics training and learning experience via a robust series of analytic courses offered by UMSN faculty. The Scientific Methods for Health Sciences EBook is designed specifically for the UMSN HS550-HS853 courses, which aim to reduce the variation of analytic skills, scientific knowledge and quantitative abilities of health sciences graduate students. The unified objective of these courses is to prepare exclusive cadres of nursing and healthcare scientists for leading scientific teams and for conceiving research proposals with strong methodological designs and analytic approaches to address innovative study aims.





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