|Product Name||Analytics In Healthcare And The Life Sciences: Strategies, Implementation Methods, And Best Practices (Ft Press Operations Management)|
|Category||Book / Magazine / Publication|
|Short Description||Height:0 inches / Length:0 inches / Weight:0 pounds / Width:0 inches|
|Amazon.com||Buy on Amazon ~ 0133407330|
|Price New||51.98 US Dollars (curriencies)|
|Price Used||43.78 US Dollars (curriencies)|
|Width||0.97 inches (convert)|
|Height||9.26 inches (convert)|
|Length||6.38 inches (convert)|
|Weight||21.12 ounces (convert)|
|Author||Thomas H. Davenport, Dwight Mcneill|
Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field’s current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow’s advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA’s team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.
|Similar Items||9780415244909: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die|
9780415196451: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die
9780387115542: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die
9780335207237: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die
9780226856681: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die
9780123822550: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die
9780002323642: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die
9781118217801: Healthcare Business Intelligence, + Website: A Guide To Empowering Successful Data Reporting And Analytics
9780133353747: A Framework For Applying Analytics In Healthcare: What Can Be Learned From The Best Practices In Retail, Banking, Politics, And Sports (Ft Press Analytics)
9781118383049: Health Analytics: Gaining The Insights To Transform Health Care
View 19 more similar items
|Search Google||by EAN or by Title|
Article of interest
Do you have a large number of products that you would like added to the web site but you don't want to enter them one at a time? We would be happy to take a data file from you and import it directly into our collection.
It is best if you have a user account on the web site. This will let us attach your products to your account so you can make changes easily in the future. If you don't have an account, it is likely that we would make one for you when we go to import your data.
We can take your data in a few basic formats:
- A text file of comma seperated VALUES (CSV)
- A spread sheet file such as Excel or Open Office
- MySQL insert script
We can probably work with other formats too, but these formats are the easiest for us to work with so we prefer that you use them to make things easier for us during the import process.
The data file you send us should contain one product per line with no extra comments. You may want to add column headers to the top of your data file to make it easier for us to ideantify the information you are sending.
There are only a couple fields that we require but the more information you provide the better it is for the users that visit this site searching for information. Here is what we need from you:
|EAN Code||(required)||This can be either the 13 digit EAN code or the 12 digit UPC code. Without this we can't store your information.|
|Amazon ASIN||(optional)||If your product is listed on Amazon, we can use this number to gather the remaining information and even grab a picture of your product.|
|Title||(required)||The name of your product. If you provided the Amazon ASIN, then we don't really need this. We will pull it from Amazon instead.|
|Description||(optional)||This is usually the size, color, weight or product type. Some examples include "32 oz", "6 pounds", "blue", "D-Size 4 Pack", "DVD", "Cassette"|
|Category||(optional)||You can use text here or our category numbers. We can massage your text to fit into our categories as needed.|
|URL||(optional)||This is a direct link to the product detail information on your web site or the site where you want people to buy your product from.|
|Long Description||(optional)||You can list up to 2,000 characters in your description.|
|SKU||(optional)||Up to 100 characters|
In addition to your product data, when you send us your information you can send us your company contact information. If your profile doesn't already have this information, it is very helpful to the users that visit our site. This information would simply be included in the email you send us with your data file. What we would like in your company information block includes:
- Company Name
- Mailing Address (or physical location if you prefer)
- Phone Number
- URL to your web site
To submit your data to us, simple prepare your data file and email it to us by using the contact link at the bottom of any of our pages. Large data files can be compressed into a ZIP file if you like.
It is always a good idea to claim your products on our site if you are not going to send us a data file. This lets you take charge of the information we already have and information that we may collect later.