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预测采购成本

通过数据科学推算药物采购成本,来支持业务分析

预测采购成本将预测分析的能力应用于药品定价。 主要行业利益相关者的独立验证证实,PAC 比 AWP 等价格基准更有效地持续跟踪实际药品采购成本。

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Discover Predictive Acquisition Cost

Meets industry identified criteria for an optimal drug pricing benchmark

  • Comprehensiveness — all drugs are covered

  • Timeliness — reflects price movement in a timely way

  • Accessibility — available to all stakeholders, easy to access

  • Immune to Manipulation — no single input overly influences output

  • Accuracy — reflects ground truth

  • Transparency — understand how the drug price is established

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Supports drug pricing analytic problems

The PAC methodology helps stakeholder operate in a complex environment by offering turn-key solutions for solving common drug pricing problems.

  • Establishes a pricing range that is closely aligned to a drug’s acquisition cost to help determine performance of pricing contracts, control costs and support reimbursement rates.

  • Utilize a fair and balanced method to justify your pricing strategies, improve network satisfaction and reduce appeals.

  • Quickly identify reimbursement outliers that warrant price adjustment to improve bottom-line performance, improve negotiations.

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Delivering value across the pharmaceutical industry

  • Rely on a more stable starting point to determine usual and customary (U&C) to set cash pricing while considering price elasticity, profitability and sustained insured revenue.

  • Optimize your MAC list, meet regulatory requirements for transparency and identify drug groups where pricing is outside an acceptable range to help justify pricing strategies.

  • Take advantage of historical data across generic drug categories to price drugs, understand historical pharmacy acquisition costs and analyze historical trends to forecast future trends.

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Utilize Gini coefficient to anticipate price movement and drug shortages

Borrowing a concept from econometrics called the Gini coefficient you can gain deep insights into price and price movement by looking at how concentrated versus widely available a given drug is across manufacturers.

  • Evaluate changes in the Gini coefficient to understand changes in drug availability in specific manufacturers in a drug group and anticipate or explain pricing movement.

  • Identify drugs changing from single source to multi-source or vice-versa to anticipate product demand and impacts on products changing from brand to generic products.

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Why Predictive Acquisition Cost

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Optimal drug pricing benchmark

An analytics model to provide insight into a drug’s acquisition cost
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Supports drug pricing analytic problems

Turn-key solutions for solving common drug pricing problems
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Delivers value across pharmaceutical industry

Supports pricing activities throughout the pharmacy supply chain
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Anticipate price movement and drug shortages

Utilizes Gini coefficient to support insight into price movement

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