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".
|
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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