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Chengdu Xinyue Hospital
Pharmaceutical and MedicalInput and Output Management
Chengdu Xinyue Hospital · Psychiatric specialty medical institution

Chengdu Xinyue Hospital | HIS one-click automatic invoicing interface

HIS InterfaceTechnical Solution
Invoice upon paymentDelivery experience

Enterprise overview

Chengdu Xinyue Psychiatric Hospital Co., Ltd. is a medical institution providing specialized psychiatric and psychological diagnosis and treatment services. Current IT status: HIS system is used for diagnosis, treatment, and billing.

Business pain points

  • Serving patient populations as well as multiple settlement entities such as medical insurance, commercial insurance, and group physical examinations, with large invoice demand, high frequency, and one-to-one correspondence with diagnosis, treatment, and charging records. After customers raise invoicing requests, business personnel relay them to finance, and finance fills out and delivers each invoice one by one on the invoicing end, with delivery mainly via email forwarding and offline mailing. Invoice number backfilling creates secondary workload, and when customers chase, it is difficult to quickly answer how far the invoicing has progressed.
  • Abnormal scenarios such as red-letter reversal, partial red-letter reversal, and reissuance rely entirely on manual judgment and handling, resulting in long processing cycles. Issued invoices are stored in scattered locations, month-end reconciliation requires searching in multiple places, and annual aggregation repeats the process again
  • Invoicing data is disconnected from business data, so management cannot see the overall invoicing situation. With the full rollout of fully digitalized e-invoices, invoices must be kept as original files in multiple formats such as PDF, OFD, and XML; the previous practice of mainly keeping printed copies no longer meets archiving requirements.

Solutions

  • Achieve automatic flow from order to invoice, with invoicing triggered upon business completion and no manual intervention throughout the process
  • Establish an invoicing rules engine, supporting automatic merging and splitting by customer and product, with scenarios such as full reduction, gifts, and partial returns handled by rules
  • Red-letter reversal and partial red-letter reversal automatically match the issued blue invoice details to generate a working draft, which is executed in batches after finance confirmation
  • Ultimately frees finance from issuing invoices one by one, so settlement peaks no longer become business bottlenecks
  • And feeding invoicing data back as input for business analysis, so invoicing pace, customer structure, and product distribution can be checked at any time
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