Working from Claims Data - Text Mining Techniques for Healthcare Provider Quality Determination - page 348

149 patient_status $2.
151 discharge_hour $2.
153 payment_received $10.
163 estimated_due $10.
173 med_record_no $17.
;
format birthdate start_date START_DATE END_DATE yymmdd8.;
output Medpar.customer;
The form identified as '20' contains demographic and general admission information about the
patient.
end;
when (type='50') do;
input @ 2 sequence_number $3.
6 Patient_control_no $20.
29 accom_revenue_code $4.
33 accom_rate $9.
42 accom_days $4.
46 accom_total_charges $10.
56 accom_non_covered_charges $10.
66 form_locater $4.
70 accom_revenue_code_2 $4.
74 accom_rate_2 $9.
83 accom_days_2 $4.
87 accom_total_charges_2 $10.
97 accom_non_covered_2 $10.
111 accom_revenue_code_2 $4.
115 accom_rate_3 $9.
124 accom_days_3 $4.
128 accom_total_charges_3 $10.
138 accom_non_covered_3 $10.
152 accom_revenue_code_4 $4.
156 accom_rate_4 $9.
164 accom_days_4 $4.
168 accom_total_charges_4 $10.
178 accom_non_covered_4 $10.
;
output Medpar.accommodations;
end;
Type '50' gives the overall information about the patient's admission and the rate per day.