Delivering Precision Medicine: How Data Drives Individualized Healthcare

ThePrecision Medicine Initiative呼吁医疗保健从一刀切的方法过渡到个性化的方法。根据这项提议，医疗专业人员必须根据每个患者的基因组构成、环境和生活方式来定制治疗和预防策略。实现精准医疗要求研究人员和临床医生能够访问大量不同数量的真实世界数据(RWD)，以及使这些数据能够被广泛访问和使用的技术。

数据访问和互操作性障碍经常阻碍精准医疗的转型。然而，当前的医疗保健行业趋势为研究人员和临床医生提供了更多的机会，以全面了解他们所护理的医疗条件和患者。随着这些进步为个性化护理开辟了一条通道，它们也为生命科学行业提供了更有效、更有针对性的药物开发方法。

Precision Medicine from Its Foundation to Real-World Benefits

As healthcare builds a comprehensive data ecosystem and progresses towards precision medicine, the industry is making significant advancements in the quality of care, from a more efficient and accurate drug development process to therapies better targeted at individual patients and diagnoses.

Healthcare Innovation Forms an Actionable Foundation

Ongoingdevelopments在医疗保健方面已经形成了可操作的基础，为精准医疗。因此，研究人员和临床医生更有可能获得高质量和广度的健康数据、生物信息和技术复杂性，以克服精准医疗的财务、数据管理和互操作性障碍。这种严格的护理方法将帮助临床医生确定最合适、最具成本效益的治疗方法，甚至发现以前未发现的疾病原因。

以下医疗保健趋势使得从“一刀切”到“个体化、精准化”的飞跃成为可能:

• Big data analytics and machine learning that advanced healthcare decision support
• Reimbursement methods that incentivize health systems to keep patients well.
• Emerging tools that enable more data and interoperability.

Feeding the Drug Development Pipeline

With industry trends supporting the precision medicine journey, healthcare is leveraging more comprehensive patient data to inform itsdrug developmentprocess. Earlier approaches to creating new drugs relied on claims data as the only available source of knowledge. This method couldn’t determine how a new drug would affect broader patient populations.

Like the path to precision medicine, improved drug development relies on patient-centric data to reflect individual experiences. This insight helps researchers bring drugs to market more efficiently and safely. More personalized insight informs the process from discovery, new indications, clinical development, trial design, and measuring outcomes (e.g., side effects) to identifying who is using an approved drug and why and determining value-effectiveness for drug reimbursement.

Right Drug, Right Patient, Right Time

The pivotal promise of precision medicine is highlyindividualized therapy. With more in-depth insight into patients and their health, clinicians, academics, and pharma and biotech researchers and regulators aim to deliver the right drug for the right patient at the right time.

Developing these personalized therapies requires real-world clinical and molecular data.

实现精准医疗目标和优化利用靶向治疗的最大挑战在于数据——建立为患者护理、研究、药物开发和报销收集和共享数据的能力。

A lack of combined molecular and clinical data creates. Solutions that make data accessible and usable (e.g., the Health CatalystData Operating System (DOS™)and a core data management system (e.g., Molecular and ClinicalDOS Marts™) can help the healthcare community advance precision medicine goals of highly individualized treatment.

From the Ground Up, Delivering Precision Medicine Is a Data-Driven Journey

精准医疗计划的使命宣言确立了以下目标:“通过研究、技术和政策，使患者、研究人员和提供者能够共同努力，发展个性化护理，从而开启医学的新时代。”随着更开放和灵活的数据访问和互操作性，以及行业致力于更好的医疗保健(例如，鼓励健康患者)，通过更好的药物开发和更有针对性的治疗，精准医疗转型正在形成。类似地，对RWD的逐步使用和支持将继续引导精准医疗努力实现该倡议的目标。

Additional Reading

Would you like to learn more about this topic? Here are some articles we suggest:

1. Creating a Data-Driven Research Ecosystem with Patients at the Center
2. Healthcare Data: Creating a Learning Healthcare Ecosystem
3. A New Era of Personalized Medicine: The Power of Analytics and AI
4. Harnessing the Power of Healthcare Data: Are We There Yet?
5. Extended Real-World Data: The Life Science Industry’s Number One Asset

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