8/17/2019 Metrics Sprint3

1/1

Time taken to process the data and convert it into a clean and structured form

Another process that will be optimized by a big margin is the data scrubbing and grouping

 process. This process currently takes a 5 hours to complete as the data had to be manually

cleaned by using Excel by the employees at the Clinic. Now the process takes less than 2

seconds. This metric also enables swit low as the reduction in processing time leads to aster 

transmission o data.

Number of errors in the billing data

The number o errors will be reduced to almost nothing ater the system is implemented. !ince

the process becomes automated" there will no longer be any human error in#ol#ed. This makes

the process more even  as there will not be any #ariation in $uality. %nitially there were

approximately &' errors in the data e#ery billing cycle. Ater this sprint the number o errors will

 be close to '.

Waiting time for the billing analyst

(ight now the billing analyst has to wait about ) hours or the data to be manually processed and

uploaded by the employees who are in charge o the data cleaning process. Ater !print *" this

waiting time is no longer a concern and is eliminated making the process  swift .

Throughput of data files

The throughput o the process will increase ater the system is implemented in !print * as the

 process is automated. Now three iles are generated simultaneously" one or the patients billed in

the current week" one or patients not billed and a master ile containing inormation about all the

 patients when they are billed. These iles can be generated in a shorted period o time and the

number o times these iles are generated can be calculated using a counter on the website to

keep track o this metric.