重塑药品管理软件：从成本黑洞到利润引擎的革命

// 药品库存智能预测模型示例
public class DrugInventoryForecaster
{
    // 基于历史销售数据的预测算法
    public async Task PredictDemandAsync(string drugId, 
        DateTime startDate, DateTime endDate)
    {
        // 获取历史销售数据
        var historicalData = await _salesService
            .GetHistoricalSalesAsync(drugId, startDate.AddYears(-1), endDate);
            
        // 应用机器学习算法进行需求预测
        var prediction = await _mlService
            .PredictAsync(historicalData, GetSeasonalFactors());
            
        return new ForecastResult
        {
            DrugId = drugId,
            PredictedDemand = prediction,
            ConfidenceLevel = CalculateConfidence(historicalData)
        };
    }
    
    // 计算季节性影响因素
    private SeasonalFactors GetSeasonalFactors()
    {
        // 实现季节性因素计算逻辑
        return new SeasonalFactors();
    }
}

// 实时库存监控仪表板组件
class InventoryDashboard extends React.Component {
    state = {
        inventoryLevels: [],
        alerts: [],
        trends: []
    };
    
    async componentDidMount() {
        // 实时获取库存数据
        const inventoryData = await this.fetchInventoryData();
        this.setState({
            inventoryLevels: inventoryData.levels,
            alerts: inventoryData.alerts,
            trends: this.analyzeTrends(inventoryData.history)
        });
        
        // 建立WebSocket连接接收实时更新
        this.setupRealTimeUpdates();
    }
    
    // 库存趋势分析
    analyzeTrends(historyData) {
        return historyData.map(item => ({
            drugId: item.drugId,
            trend: this.calculateTrend(item.levels),
            recommendation: this.generateRecommendation(item)
        }));
    }
}