Working from Claims Data - Text Mining Techniques for Healthcare Provider Quality Determination - page 349

when (type='60') do;
input @ 3 Patient_control_no $20.
28 ancillary_revenue_code $4.
32 HCPCS_Procedure_code $5.
37 Modifier_1_HCPCS_CPT $2.
39 Modifier_2_HCPCS_CPT $2.
41 ancillary_Units_of_service $7.
48 ancillary_total_charges $10.
55 ancillary_non_covered_charges $10.
68 form_locater $4.
72 assessment_date $8.
83 ancillary_revenue_code_2 $4.
87 HCPCS_Procedure_code_2 $5.
92 Modifier_1_HCPCS_CPT_2 $2.
94 Modifier_2_HCPCS_CPT_2 $2.
96 ancillary_Units_of_service_2 $7.
103 ancillary_total_charges_2 $10.
111 ancillary_non_covered_charges_2 $10.
127 assessment_date_2 $8.
138 ancillary_revenue_code_3 $4.
142 HCPCS_Procedure_code_3 $5.
147 Modifier_1_HCPCS_CPT_3 $2.
149 Modifier_2_HCPCS_CPT_3 $2.
151 ancillary_Units_of_service_3 $7.
158 ancillary_total_charges_3 $10.
168 ancillary_non_covered_charges_3 $10.
182 assessment_date_3 $8.
;
output Medpar.ancillary_services;
end;
Type '60 gives information using HCPCS codes instead of ICD9 codes and gives ancillary ser-
vices.
when (type='70') do;
input @ 3 sequence $2.
5 patient_control_no $20.
25 principal_diagnosis $6.
31 code2 $6.
37 code3 $6.
43 code4 $6.
49 code5 $6.
55 code6 $6.
61 code7 $6.