hcpNameCleanser |
It cleanses the legal and alternate first name, middle name, and last
name of healthcare providers by applying logic such as:
-
Consider " . " (dot) and " - " (hyphen) but ignore rest
of all the special and numeric characters in a name.
For example:
Before running the hcpnamecleanser , the
HCP name is "Mariana9Arcila-Mesa".
After running the hcpnamecleanser , the
HCP name is "Mariana Arcila-Mesa".
-
Consider the space between two alphabets as a segregator
between names (first name, last name, and middle name).
As a result, automatically turn the first alphabet after
the space in upper case .
For example:
Before running the hcpnamecleanser , the
HCP name is "Mariana arcila-Mesa".
After running the hcpnamecleanser , the
HCP name is "Mariana Arcila-Mesa".
-
Turn the first alphabet in upper case.
For example:
Before running the hcpnamecleanser , the
HCP name is "mariana Arcila-Mesa".
After running the hcpnamecleanser , the
HCP name is "Mariana Arcila-Mesa".
|
hcoNameCleanser |
It cleanses the legal business name of healthcare organizations by
applying logic such as:
-
Consider numeric characters.
-
Remove mathematical expressions such as " {}, [], and ()
" (brackets), " % " (percentage), " + " (plus), " > "
(greater than), " < " (lesser than), " = " (equal to)
etc. in a name.
For example:
Before running the hcoNameCleanser , the
HCO name is "Healthstat%Onsite%Clinic<Parkdale=Plant
23".
After running the hcoNameCleanser , the
HCO name is "Healthstat Onsite Clinic Parkdale Plant
23".
-
Consider some special characters such as " # " (hash), "
. " (dot), " - " (hyphen), " ' " (apostrophe) in a
name.
For example:
Before running the hcoNameCleanser , the
HCO name is "Community;Medical!Services%Montana-Private
LLC".
After running the hcoNameCleanser , the
HCO name is "Community Medical Services Montana-Private
LLC".
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toTitleCase |
It cleanses the legal and alternate prefix and suffix text used with
healthcare provider’s name. It also cleanses the address attributes
of healthcare providers and healthcare organizations. The logic
applied is:
-
Turn the first alphabet in upper case after any of these
special characters " - " (hyphen), " ," (comma), " ; "
(semi-colon), " : " (colon), " . " (dot), " & "
(ampersand), " / " (forward slash), " \ " (backward
slash), " () " (bracket), and " "" " (inverted
commas).
For example:
Before running the toTitleCase , the HCP
suffix is "-jr".
After running the toTitleCase , the HCP
suffix is "Jr".
|
cleansedCredential |
It cleanses the credentials of healthcare providers by applying logic
such as:
-
Remove " . " (dot).
For example:
Before running the cleansedCredential ,
the HCP credential is "M.D.".
After running the cleansedCredential ,
the HCP credential is "MD".
-
Consider two credentials if there is a " - " (hyphen), "
, " (comma), and space between credential alphabets. The
credential alphabets after a hyphen or comma or a space
must be two or more. Further, segregate these two or
more credentials by a " | " (pipe) symbol.
For example:
Before running the cleansedCredential ,
the HCP credential is "MD,LCSW-RN".
After running the cleansedCredential ,
the HCP credentials are "MD | LCSW | RN".
|
phoneCleanser |
It validates the phone number. If validated, it populates the
additional information.
For example:
Before running the phoneCleanser , the phone number
is "(603) 382-4972 Business".
After running the phoneCleanser , the validation
status is VALID. The additional information or attributes that
populates are Country Code, Area Code, Local Number, Line Type,
Format Mask, Digit Count, Geo Area, and Geo Country.
|
addressCleanser |
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