biostatistics

See the following -

Clinical Trial Design Management: Best Practices for Small Budget Studies

ClinCapture  hosted the 12th BioTalks in Park City, UT, on the topic of Clinical Trial Design & Management: Best Practices for Small Budget Studies. This was the first event in the series hosted in the biotech hub of Salt Lake City. The panel discussion gathered experts from CROs and sponsor companies to conduct quality clinical trials in a cost effective manner. Industry experts shared their knowledge on running high quality, small budget clinical trials covering clinical operations to clinical data management and biostatistics...

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Clinovo Announces New Customer Win For Its ClinCapture Open-Source Electronic Data Capture System

Press Release | Clinovo | June 28, 2013

Leading Pharmaceutical Company Starts Phase II Ophthalmology Clinical Trial With Silicon Valley based CRO Clinovo for Electronic Data Capture (EDC), Clinical Data Management (CDM), Biostatistics, and Medical Writing Services Read More »

How Clinical Guidelines Can Fail Both Doctors And Patients

Robert McNutt and Nortin Hadler | The Health Care Blog | December 11, 2013

Any confusion over the recent news of cholesterol guidelines in the U.S. is perfectly understandable. On the one hand, the guidelines suggest that nearly half the population should use statins to stave off heart attacks and strokes. On the other, use of the drugs is not with potential side effects and, to many, will offer no substantive benefits. [...] Read More »

Huge VA Project to Boost Med School Mission

Jonathan Rabinovitz | Stanford School of Medicine | October 24, 2011

A dozen state-of the-art buildings that will advance [Stanford's] medical school’s clinical, educational and research missions are beginning to rise, but Stanford isn’t leading the effort. With a construction budget of more than $1 billion, the Veterans Affairs Palo Alto Health Care System, or VAPAHCS, has launched an ambitious building project on its flagship campus on Miranda Avenue in P Read More »

Machine Learning in Healthcare: Part 2 - Tools Available to the Average Healthcare Worker

A variety of machine learning tools are now available that can be part of the armamentarium of many industries, to include healthcare. Users can choose from commercial expensive applications such as Microsoft Azure Machine Learning Studio, SAS Artificial Intelligence Solutions or IBM SPSS Modeler. Academic medical centers and universities commonly have licenses for commercial statistical/machine learning packages so this may be their best choice. The purpose of this article is to discuss several free open source programs that should be of interest to anyone trying to learn more about machine learning, without the need to know a programming language or higher math.

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Machine Learning in Healthcare: Part 3 - Time for a Hands-On Test

Every inpatient and outpatient EHR could theoretically be integrated with a machine learning platform to generate predictions, in order to alert clinicians about important events such as sepsis, pulmonary emboli, etc. This approach may become essential when genetic information is also included in the EHR which would mandate more advanced computation. However, using machine learning and artificial intelligence (AI) in every EHR will be a significant undertaking because not only do subject matter experts and data scientists need to create and validate the models, they must be re-tested over time and tested in a variety of patient populations. Models could change over time and might not work well in every healthcare system. Moreover, the predictive performance must be clinically, and not just statistically significant, otherwise, they will be another source of “alert fatigue.”

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The Story of How our Health Informatics Textbook Came into Being

I have been asked many times how and why I became interested in Health Informatics and how that led to the writing and self-publication of our textbook, Health Informatics: Practical Guide. The textbook is now in its 7th edition and has been adopted by a large number of universities for their health informatics courses. More co-authors have come on board, and we are now looking at publishing other textbooks. Thus we thought this would be a good point to tell the story.

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