#1 ssence part of the complete elect von gsnoopy520 18.11.2019 09:12

Steve Andersons
Submitted 2017-10-26 09:38:11 In a world of systematic and efficient clinical programming the success of project delivery in ( ) Pharma Analytics companies largely depends on the accuracy of data and implementation of approved standards. The metadata across all the files (analysismapping specification file Ervin Santana Jersey , raw data and final data) need to match for standardization and traceability. CDISC standards for almost all of the data structures clearly states metadata information of a variable, its order of appearance in a dataset Kelvin Herrera Jersey , and variable length etc. In order to achieve the same metadata as is specified by company or CDISC standard files, programmers need to be very careful while generating the data set at the final stages. Most of time we enter into situations where number of variables are more Frank Thomas Jersey , or the order or metadata is different from one actually required in the final data set.

Also since these data sets (say SDTM, ADaM) in most cases are developed from SAS coding after referring the analysismapping specification file Bo Jackson Jersey , end moment change in the specification file may not be carried over to these data sets. One approach to limit this error and generate the deliverables per standards is to first develop the analysismapping speciation file as per guidelines and then import this file into SAS to create a metadata from these analysismapping file. Use these metadata to assign the metadata for final data set. This paper elaborates on the technique of first creating a zero observation data set with the metadata as same as specified in the analysismapping specification spread sheet and then to use this data set to create the final data set. In this approach the analysismapping specification file needs to be current and the resulting data sets will be generated as per standard. Reviews of final data set will double check the metadata consistency not only in the resulting data sets but also on the analysismapping specification file.
Paperless Dental Practice Records by 2014
Posted On : May-10-2010 | seen (310) times | Article Word Count : 385 |

Have you heard that there is a new government regulation that requires dentists to have electronic records by the year 2014? I have heard or read a number of variations on this theme in the last month along with various rants and dire warnings regarding the alleged new rules. Have you heard that there is a new government regulation that requires dentists to have electronic records by the year 2014? I have heard or read a number of variations on this theme in the last month along with various rants and dire warnings regarding the alleged new rules.

Let鈥檚 get the really important information out there right now; at this time there is no federal requirement for dentists to be using paperless or electronic records by 2014 or any other date. What there is is a lot of confusion, speculation and scare tactics the same as we saw when OSHA and then HIPAA first plagued the dental profession.

However Chicago White Sox Jersey , as a dental practice consultant, setting up an electronic dental record (EDR) or what is commonly called 鈥減aperless鈥?dental records makes sense for many reasons even if the law does not yet require it. Paperless records are: faster Joe Maddon Jersey , more accurate and less expensive than traditional paper records.

EDR are in essence part of the complete electronic medical record or EMR. This is good as dental health is of course part of overall health and many general medical conditions are important to dentistry and dental conditions affect general health. On the other hand, it is bad as dentistry has become lost in the much larger battle over creation of an EMR which has

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