7 min de lecture

Le pouvoir de la cartographie des données dans le secteur des soins de santé

BI et analyse de données

Soins de santé

As the healthcare industry rapidly expands, an immense amount of data is generated. According to the Global Health Journal, about 30% of the world’s data volume comes from the healthcare industry. Over the last five years, the sheer volume of data was expected to rise almost fourfold — and this trend is not likely to change in the near future. Now, market analysts predict a 19.9% annual growth of the healthcare data storage market by 2029 and a 23.7% annual growth of the healthcare predictive analytics sector by 2033.

In healthcare, data has immense potential to improve patient care, enhance research, and optimize workflows. However, effectively using this wealth of data poses a considerable challenge, so almost half of this information is underutilized. This is where data mapping can turn the tables. In this blog post, I will explore the concept of data mapping within healthcare, highlight its undeniable advantages, and examine its practical applications.

Qu'est-ce que la cartographie des données dans les soins de santé ?

Data mapping in healthcare is a process of matching fields between databases of different information systems. In other words, data mapping makes sense of each connection and creates a detailed blueprint for all healthcare data within an IT ecosystem.

Healthcare data comes from various sources, like EMRs or EHRs, medical CRMs, wearable devices, medical imaging systems, and billing systems. Each of these sources uses different data exchange and terminology standards, which can naturally complicate things. For example, a radiology system may use DICOM and EHR may use HL7, or different hospitals can code procedures using varying systems, like CPT and SNOMED CT. These variations make it difficult to integrate and interpret medical data.

By leveraging data mapping as a part of your développement de logiciels pour les soins de santé process, providers can easily connect similar data and then transform it into a unified standard. As a result, healthcare businesses can overcome the fragmentation common to data systems in the industry and efficiently utilize data for patient care.

Gain more control of the healthcare IT ecosystem with data mapping

How is data mapping used in healthcare

La cartographie des données fait généralement partie du processus de migration des données dans le cadre de projets plus importants. Dans le secteur des soins de santé, elle est appliquée dans différents domaines, mais il existe des scénarios communs.

Data migration

Data intégration

Transformation des données

Intelligence économique

Déployer des outils de reporting

Échange de données informatisées

Data migration

Data migration refers to transferring data from one system to another, often when switching to a new system, upgrading an existing one, moving to the cloud, or undergoing digital transformation. During migration, data mapping establishes connections between data fields in different IT systems, enables error-free transfer, and helps maintain data consistency across solutions.

Data intégration

Data intégration combines data from different sources into a single location, which is an absolute must-have for healthcare providers collecting operational and care-related data from various systems. Data mapping is a natural step during the integration since it bridges the systems that use the same data and guarantees its consistency and accuracy.

Transformation des données

Healthcare providers often need to convert data from one format to another, either to integrate several systems or to make data easier to use and analyze. With healthcare data mapping, they can understand the connections between data in databases, regardless of the ways the information is stored, and then proceed with transformation into a unified format.

Intelligence économique

When implementing business intelligence in healthcare, going for data mapping helps ensure that data from multiple sources aligns properly for analytics. By linking different data sources, it streamlines data extraction, cleaning, and preparation. This way, BI tools access analysis-ready data and provide more accurate, actionable insights.

Déployer des outils de reporting

Many reporting solutions employ unique terminology and data structures, so medical businesses need to adjust their data to fit. Leveraging data mapping, healthcare providers synchronize their data with the reporting terminology and structure. It helps define what data is needed for specific reports and records and streamlines this process.

Échange de données informatisées

Échange de données informatisées (EDI) automates document exchange between healthcare businesses — like hospitals and insurance companies — optimizing workflows and records management. In this case, data mapping specifies the data used in documents, where it’s located, and how it should be transformed to match the data structure required by the target software.

Data migration

Data intégration

Transformation des données

Intelligence économique

Déployer des outils de reporting

Échange de données informatisées

Avantages de la cartographie des données dans les soins de santé

Poor-quality data costs organizations an average of $12,9 million per year, according to Gartner. And the data issues pile up, leading to tangled data ecosystems and inaccuracies that influence decision-making. Data mapping can help tackle many of them and bring along the following benefits.

Amélioration de l'interopérabilité

As data mapping is integral for interoperability, it helps healthcare professionals access the complete care information, even if it’s spread across different systems. It saves them time on data search, improves care coordination, and decreases administrative burdens.

Amélioration des soins aux patients

By matching data from different sources, healthcare providers gain a better understanding of a patient’s health profile, including allergies, medications, and past treatments. This leads to faster referrals, minimized delays, and better patient outcomes.

Réduction des coûts

Manual data entry is common in healthcare and often leads to errors, duplicates, or billing issues. Data mapping can aid in records transfer between different systems, alleviating the workload of medical staff. Studies show it works: 30% of providers say aggregated data platforms helped them save costs and manage their workforce better.

Conformité réglementaire

With proper data mapping, healthcare organizations can ensure that the records are consistently structured and managed in compliance with regulatory frameworks like HIPAA and GDPR. By organizing and consolidating data in one platform, organizations can ensure data accuracy and more easily maintain security requirements for protected health information.

Des informations fondées sur des données

By adopting data mapping, healthcare organizations can perform comprehensive data analysis and identify areas for resource optimization. These insights help allocate staff and equipment more efficiently, improve staff performance, and maximize the use of resources.

Better research & development

Researchers can use data mapping to create comprehensive datasets and conduct large-scale clinical trials and research studies. This allows them to identify trends in disease patterns, predict resource needs, and develop more effective healthcare strategies.

“In my experience, healthcare providers with complex data ecosystems absolutely need robust data mapping, especially when undergoing digital transformation. I’ve seen firsthand how essential it is to streamline data flow across various systems to ensure accuracy and consistency. My team and I have a deep understanding of healthcare processes and can help your business map the healthcare data, laying the groundwork for more complex and innovative IT projects.”

Aleh Yafimau

Gestionnaire des livraisons

Data mapping in healthcare: examples in real life

Epic Systems Corporation
Méracité
InterSystems Corporation
Redox

Epic’s EHR software is utilized by more than 305 million users worldwide. At the core of seamless data exchange lies data mapping. This technology enables healthcare providers to exchange information effortlessly and deliver enhanced, personalized care.

Merative, formerly known as IBM Watson Health, applies data mapping to integrate patient data across institutions for deeper research. It also ensures the accuracy and standardization of data for accurate AI analysis, leading to better healthcare decisions.

InterSystems’ HealthShare platform manages over 1 billion medical records worldwide and solves the issue of data silos in healthcare. By utilizing data mapping, HealthShare seamlessly integrates and aggregates patient information from various sources like electronic medical records and imaging systems.

Redox specializes in healthcare data integration, connecting organizations, applications, and data sources. They leverage data mapping to optimize data exchange and ensure secure patient data access and exchange. Also, Redox facilitates real-time, bidirectional data exchange across multiple environments and enables legacy data standards transformation.

Struggling to get a holistic view of care and operations?

Conclusion

Data mapping is crucial for managing the vast amount of healthcare data generated. With data mapping, healthcare providers can deliver more informed care, reduce errors and operational costs, and personalize treatment plans.

However, successful implementation requires careful planning and experience. Our team of experts can help you navigate the complexities of the process and ensure a seamless transition. If you’re interested in learning more about data mapping, its potential benefits for your business, and how we can help you leverage it for positive change, don’t hesitate to get in touch with us.

FAQ

In short, data mapping in healthcare is about linking fields between systems’ databases. Mapping is an essential step of data migration and integration and is used to exchange information between two or more systems, like EMR, EHR, or patient apps. Further on, it enables dataset-based analytics, predictive analytics, medication testing, patient research, and more.

Data mapping streamlines information aggregation from multiple sources, facilitating care coordination between medical professionals and streamlining clinical decision-making. When there is no need for manual data entry into multiple systems, there are fewer risks of data loss, medical errors, missing and duplicated records, and security and compliance issues.

Healthcare data mapping, when done right, does not compromise security and regulatory compliance. This requires encrypting data using robust algorithms and storing it in a protected environment, with access restricted to authorized personnel only. To meet privacy regulations like HIPAA and GDPR, healthcare businesses that want to implement data mapping need additional protective measures, like regular audits and staff training on data safety best practices.

Anastasia Ilkevich Gestionnaire de portefeuille dans le domaine des soins de santé et des technologies médicales

Date: 28 mars 2025

Anastasia Ilkevich Gestionnaire de portefeuille dans le domaine des soins de santé et des technologies médicales

Date: 28 mars 2025

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