⊙ An AI-based knowledge providing service built on hospital consulting expertise.
⊙ Integrates costing concepts, solution features, usage guides, and practical application examples in one place.
⊙ Supports faster access to essential knowledge and information to improve work efficiency.
⊙ Provides exclusive and professional insights that are typically unavailable through commercial AI services.

1. OTC(Under Development)
   A. Enhancing User Convenience
       ① One-Time Costing (OTC): Execute all essential cost calculations simultaneously, including breakdowns by departments, physicians, procedures, patients, and diseases.
       ② Partial Costing: Minimize processing time by recalculating only modified portions of data.
       ③ High-Speed Retrieval: Retrieve data within one second for rapid analysis.
       ④ Unified Modeling: Consolidate complex costing elements (organizational structures, codes, and periods) into a single model.
       ⑤ B-Box Embedded: Integrate the standalone B-Box directly into the OTC system to enable scientific data analysis techniques.
   B. Precise Costing: “Precision”
       ① Transaction-Based Costing: Configure cost calculations at the individual transaction level for granular accuracy.
       ② Cost Filtering: Enhance result accuracy and support rational decision-making by separating non-relevant costs.
       ③ Unused Capacity Analysis: Identify and calculate unused capacity costs to support management improvement.
   C. Full Tracking in the Costing Process: “Traceability”
       ① Direct Result Tracking: Enable users to trace results directly from the screen where cost calculation methods are defined.
       ② Data Integrity: Implement hash values and blockchain technology to ensure the security and auditability of cost data.
       ③ Instantaneous Analysis: Retrieve cost information at the "Speed of Thought” through an OLAP database (ClickHouse).
   D. Fit-for-Purpose Costing: “Flexibility”
      ① Dynamic Cost Objects: Freely add cost objects for analysis, such as patient history and episodes.
      ② Flexible Analysis Period: Set flexible analysis periods (e.g., calculate disease costs for Finished Consultation Episode (FCE) from Dec 1, 2025 – Jan 31, 2026).
      ③ Role-Based Costing: Support strategic public healthcare policy decision-making by tailoring costing views.
   E. Process Improvement: “ABM (Activity-Based Measuring)”
      ① Process-Oriented Measurement: Measure activities from a process perspective.
      ② Operational Optimization: Improve non-value-added activities and unnecessary activities.

2. AI-OTC(Under Development)
   A. On-Premises RAG-Based System
       ① Embedded Costing Chatbot (CAP, Caleb AI Pairing) provides real-time responses to user inquiries.
       ② Text-to-SQL automatically converts user requirements into SQL queries to provide relevant data.
   B. Implementation of AI Agents
       ① Automatically detect errors and provide insights.
       ② Recommend better cost allocation methods.

⊙ Profit and loss by order doctor, execution doctor and execution department.
⊙ Activity costs by each department.
⊙ Break-even point.
⊙ Cost analysis by medical departments and doctors.

⊙ Profit and loss by service code(EDI code and uninsured items).
⊙ Profit and loss by disease, length of stay, insurance type, region, gender, and age group.
⊙ Profit and loss by DRG (Diagnosis-Related Group).
⊙ Cost analysis by service, patient, and disease.

⊙ Costing for performance evaluation of physicians (adjustment for uncontrollable cost items).
⊙ Simulation for the optimal profit options such as contribution margin, direct profit, and gross profit.

⊙ OLAP solution that analyzes massive amounts of cost information.
⊙ Inquire data within 3 seconds and provide insights.
⊙ Provide various types of chart reports.
⊙ Provide sequential pattern analysis.

⊙ Executive information of cost and clinical statistics.
⊙ Strong security features such as security control per report and type of data.
⊙ Different types of reports, such as Chart, Grid, and Image reports.

⊙ Web-based data collection .
⊙ Various ways to collect FTE, such as department/job type/individual FTE and service time.
⊙Excel file upload for large amount of data.

⊙ Extracts, transforms, and loads data into the ABC system.
⊙ Defines transformation rules using graphical process map.
⊙ Non-experts who don't have knowledge on SQL can define algorithms for data conversion.

⊙ System validation and logic verification process to test alternate fund allocation, KPI selection, and evaluation method.
⊙ Optimal methods for performance evaluation: individual vs group evaluation, total score vs scores by each KPI, absolute vs relative evaluation.
⊙ Competency evaluation for unquantifiable area: evaluation using questionnaire.
⊙ Selection through resources, evaluation methods, and a simulation of changing evaluation indicators
⊙ Acceptability: setting the upper and lower limits of performance-based incentives and adjusting factor to mitigate fluctuation

⊙ Creates a model to find out the root cause of profit change in a systematic and rapid way.
⊙ Converts all the variances to a sole (i.e. monetary) unit.
⊙ Breaks profit down into detailed indicators to understanding principal causes.
⊙ Easily finds outliers or implications.