APA style, about 1200 words, textbook; Healthcare Informatics; Improving Efficiency through Technology, Analytics, and Management. by Stephan P. Kudyba (2016)

****************************** ****************** *************** **************************** Informatics ************ *********** ** *** of ******* processing especially which *********** ******* techniques computer ******* ** well ** information science to ****** ******** with the ******** *********** ********** in *** ********* *** ********* one ** the most trends in ******* *** * ****** ** **** ******** **** **** *** ******** ******** nurses **** it ** *** ********* rapid ******* ********* efficiency ** **** ** ************ ********** the ************ encompassed in managing resources in *** healthcare ****** *** demonstrates *** way management ****** *** *********** ************* can improve *** ************ ** ********* ********** ***** ** the healthcare ******* ********* **** data ******** with ******* ********** as well as ******** analytics **** gives *** *********** ** *** *********** and ******* an ********* ******** to ************** ********* *** decision ****** ** care ************* **** it ***** to ********** **** **** *********** the ******* ** a *********** task *** ******* **** difficulties *** **** is certainly ********* ** **** ****** ********* ******* ** *** ******** *********** ** ******* *** acknowledged achievement ** *********** ************** ************** ** **** ** *** ********** sector ********** has enhanced *** ******** *** ******** ****** and ******* *** ********** centers *** ** ********** *********** *** *********** ** *** *********** ** ******* data ****** *** now ** **** ** get ** *** ******* **** ** ** ****** event ** healthcare ********** 2014) Furthermore **** has ********** the way ****** distribution ** ******** ***** *** *********** ** ******* ********** ******* 2016) ******** ** the ************** ** healthcare *********** ** **** ** prompt ******* ************** *** new ********** **** ********** ******* *********** ** ** ********* ******* *********** ************* offer ******* ********** ** is besides these ***** ********* ** understanding new ********** ********** to ****** ** ******* edge informatics2 ******** ******* ** ******** Decision Support ****** **** ** evaluating *** deciding among various ******* ** ****** **** permits ******* ******* *** ********** ***** ******* ** *********** from ******* ******* **** **** *** *** ** ******** *********** relationships ** come ** **** ******** ****** *** ********* conditions for * ******** **** *** important ******* ** healthcare *********** ****** as ** ******** knowledge ***** ***** ******* health ******** **** include ******** *** tools that enabled **** mining ** well as *** ******** of *** **** *** ******* *** *** ** ******* how many ******** are diagnosed with * ******* disease Big **** ** able ** ***** *********** in ******* *********** ****** *** ******* *** old *** ******** are ****** ** ** ***** **** ****** *** ** ********* role ** the ******** ** a ******* ***** in *** **** ****** **** ******** ******* ** ******* ** giving *** ********** and ***** *** ******** as well as ********** of *********** ******* et ** 2016) *** *********** ******* ******* medical ******* ** is **** ** ********* in data-driven *************** *** ** **** ***************** ********* **** ********* ******* ********** ** ********* *** ****** ********** ****** ** demand ******** and ***** price ************* ************ decision ******* has *** ** ****** **** ** operation ** *** ****** ********* ****** ** *** **** *** data ****** *** **** *** **** ****** plays a role *** *** victory ** information ****** ** ********** *** ***** are *** noteworthy *********** ** examination and access ** ******* **** *** *** **** of *** **** **** is ***** *** *** *********** ** *** ********** ****** it *** *********** *** information ******* ** ******* ************* ** ********* *** ************ (Groves ** ** 2016)The data comes ** ********** numeric ******** sounds *** ***** *** data ******** ********** **** ******* sources ** ** ***** ***** ***** simplicity ** distinguish the ******* *** ****** ** *** **** ** *** ********* **** ********** ** one ** *** ***** parts ** **** ****** ** ******** examination ** data as well as distinguishing ***** ** ***** ** source *** ******* ********* and Eliason ***** These ********** make ******* ** *** **** ** *** ****** *** healthcare **** ** able ** get ******* *********** for ********* *** administrationsOne ** the *** data *** **** mining that *** be **** *** is *********** ** **** **** ** *** ********** Health Records This ******* ******* keeping of the ******* ** the patients medics *** ****** **** ******** *** ********* ** ** electronic ****** *** ****** reference ** **** the ********* may **** *** ********** ** **** **** *** concept is ***** ** ***** ***** to ********** ******** ********* *** ************* ** ******* the **** *** *********** **** *** *********** ** ********** ** everlasting storage therefore ****** *** **** *** in case ** getting **** **** retrieving is *** ***** ******** already ** ***** This ******* ********* ** ***** ** ** *********** *** * ****** *** **** and **** ****** when ** comes ** ********** ******** This ****** ** *** widely used in health centers ****** *** world **** method ** effective and ********* ***** *********** ** *** **** and **** ****** source *** ******** information ** *** industry ** ********** *** **** the ****** *** ***** ***** ***** of **** large ******* ******* having ****** ** **** ****** ********* ** data ********* in *** ********** offices *** ****** thus ** ******* space *** **** operations ** take ***** hence *** ****** ** to why it ** ** interesting concept ** **** ***** ***** information ** data mining *** *** ******* multiplication ** ***** *** postured challenges in ******* ** ******* data ************** ***** ** ********** and ******** *********** *** ****** *** to ** exceptionally *********** * few bloggers *** post ***** information **** for ******** ********** **** ****** *** **** ** **** **** for *** ********* expert ** **** ** and *********** quality **** *** **** ******* the **** ** ****** ******* ******** ******* ***** The outburst ** *********** would now ** **** ** ** controlled ******* ********** *********** big data suits *** *********** volume of **** in ******* configurations *** data ** ******** **** ** ***** that * complimented through ******** ******** and ********** (Crockett *** ******* ***** *** **** is ******** ****** *** in **** of the substance *** **** *** ********** **** ******* *** *********** **** ***** is analyzed by ********** **** * ********** ********* the matterBig **** accumulations are ***** *********** for ********* science ********* for ************ ******* * ************ ******* ** ****** ** **** can reveal ********* associations ** ********** ****** ******** for ******** risk factors *** ** infection ** structures of ***** ************ ****** ***** mining ***** are not without * *********** ** any **** *********** can have * ******* **** ******* **** they **** revealed * *** of ***** ** **** ********* ****** ***** ** association **** seems ** have perceptive ****** *** ***** **** *** by ****** ** ** ***** ** fruition ** ******* ** ** ************* ****** ************* ***** **** ********* *** ******** network and ******** *** ********* ******* ****** ****** **** *** **** ******** ***** ****** *** **** the ***** ** ** *********** ********** ** ******* **** have ******** *** * ****** *** dynamically ******* speculations on a comparable ************ ********* without ******** **** ************ **** ***** choices are *********** Progressively specialists *** using ** * **** mining ********* known as ********** ************ ***** ************ ******* distinctive ***** for ********** **** The ******** ******* *** ********** ******** ** ***** ***** ****** it ** **** manner *** swindleExisting watches *** *** flexible *********** must ** ********** **** generous datasets ******* ****** **** ** *** **** ****** can be ************ trying ** ******* *********** *** ********* *** ************* ****** ****** *** ***** ****** *** vitality ** *********** **** ** ******* ******** ** ******* **** ******* can ** ** * "false revelation" ***** * watching ******* **** ***** ***** to be ********* ********* ****** can't be copied ** new *********** *** **** hypothesis that *********** testing *** method ***** ** ***** ** a ***** ******* "overfitting" ***** insightful ******** ****** ***** ** * given ******* *** ***** ** ****** up ReferencesBates * * ***** * ************ * **** * ***** Escobar * ****** Big **** in ****** ***** ***** analytics ** ******** and ****** ********* *** high-cost patients ****** ******* ***** ********************** D ***** Eliason * ****** **** is **** ****** ** Healthcare? ********* ****** ************** * ******* B ***** D & ****** * V (2016) ******* data'revolution in healthcare: ************ value and **************** * P ****** Improving ********** ******* Technology ********* *** Management CRC ***** (Taylor ***** ******** Boca Raton ** ISBN-13: 978-149874635Middleton * ****** ********** column: ****** informatics and ********** transformation—entering *** ******** *** ******* ** *** ******** ******* *********** *********** ***** *********** W ***** **** * ***** August) Using ********** ******** ********** *** ****************** data ****** ************* ** *** ***** *** ****** ************* ********** on ********* ********* *** data mining(pp 505-510) ******* ****** *** ******** Blog: **************************************************************

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