Compliance requirements have shaped much of the innovation at the forefront of today’s market trends, as expanding transparency requirements demand more extensive documentation of interactions with HCPs, HCOs and patients. The artificial intelligence and machine learning that drive human data science translate this visibility into actionable insights professionals can use to improve business practices — not only within the realm of Commercial Compliance, but across the spectrum of Marketing, Field Sales, Legal, HR and R&D.

With the help of sophisticated AI, you can spot patterns immediately and target spending initiatives, in order to augment visibility into prescriber behavior in near-real time — all without waiting for an annual review to figure out what’s working and what could be improved. IQVIA Transparency Reporting Spend Remediation Intelligence enables the ability to learn from previous corrections, auto-applying changes to speed up processes.

在这样一个充满活力的行业中，能够以这种方式迅速枢纽具有巨大的竞争优势。例如：查看哪些活动产生最高质量的参与度，并确定您当前的资源分配矩阵是否已优化或需要更改。

Embedding compliance into the DNA of a technological solution gives managers real-time transparency into upstream and downstream sales and marketing activities, promotional programming and all kinds of HCP touchpoints. Ongoing operational monitoring adds value in two distinct ways: It relieves compliance departments of the burden of rectifying errors or patterns of problematic behavior after the fact, and the automated monitoring built into the system frees up human capital bandwidth so executives can devote more time to strategic pursuits.

An examination of the technological tools that facilitate this compliance, though, also must address an equally critical distinction: The limits of said technology when applied to a broken or poorly optimized process. It is critical to assess, remediate and harmonize workflows prior to implementation. While technology has enhanced the agility of compliance and engagement protocols by leaps and bounds, even good technology can’t fix inadequate or outdated process management.

值得注意的是，尽管生命科学公司将80％的资源专门用于理解数据，但它们平均仅捕获了该数据中嵌入的价值的20％。为什么？因为这些投资经常发生在断开的筒仓中。流入系统的数据越多样化和整体，就可以实现越来越稳定的依从性。提高收集点的数据质量有助于公司实现优化的下游报告，但这并不是唯一的好处。

Once reporting methodology is standardized and seamless data collection is achieved, engagement management technology can generate insights that can be deployed to improve services and logistics processes — the catalyst for a virtuous cycle. The demand for more sophisticated data yields visibility into engagement outcomes that can augment the value of the company’s investment in transparency-promoting technology.

IQVIA research shows that 77% of enterprises struggle with the business adoption of the insights, limiting their ability to act, measure and adjust. Through interactive dashboards and reports, life sciences companies can unlock actionable insights—informing business decisions, strategy, and competitive insight — creating a positive feedback loop to improve performance benchmarks.

These intelligent solutions don’t just facilitate compliance, they give companies the tools needed to adapt and improve business processes.

IQVIA的创新解决方案利用嵌入式合规性，高级UI和下一代分析和机器学习来创建整体合规性风险观点。IQVIA HCP/O参与度管理简化了端到端的参与过程，而IQVIA透明度报告汇总了所有HCP/O支出，用于跨监管数据格式进行准确报告。

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