Evidence map›Paper›PMID 41593265›Full record

ArticlePharmaceutical medicine2026

Shaping the Future of Evidence Generation: Real-World Data to Drive Healthcare Transformation and Patient-Centered Decisions.

Jesús Medina, Joaquín Sánchez-Covisa, Javier Nuevo, Marta Galvez-Fernandez, Alberto García, Belén Pimentel, Eunice Fitas, Eduardo Fernández, Ryan N Walton, Meri Petrovska and 1 more

Abstract read
In one paragraph

Article in Pharmaceutical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jesús MedinaMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Joaquín Sánchez-CovisaMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Javier NuevoMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Marta Galvez-FernandezMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Alberto GarcíaMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Belén PimentelMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Eunice FitasMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain.
Eduardo FernándezInnovation and Digital Strategy Department, AstraZeneca Spain, Madrid, Spain.
Ryan N WaltonBiopharmaceuticals Medical, Real World Science and Analytics, AstraZeneca, Mississauga, ON, Canada.
Meri PetrovskaBiopharmaceuticals Medical, Real World Science and Analytics, AstraZeneca, Cambridge, UK.
Ana Pérez DomínguezMedical Affairs Department, AstraZeneca Spain, C. del Puerto de Somport 21-23, Fuencarral-El Pardo, 28050, Madrid, Spain. ana.f.perez.dominguez@gmail.com.ORCID http://orcid.org/0009-0005-8636-5733

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing complexity of healthcare decision making and the demand for real-world evidence call for a transformation in how Medical Affairs departments generate and communicate evidence. In response, AstraZeneca Spain implemented a structured stakeholder-driven framework aligned with the Clinical Evidence 2030 and Medical Affairs 2030 visions, aiming to deliver high-impact, timely, and tailored insights across each therapeutic area. An ambitious evidence generation vision was developed around two core components: (1) enhanced therapeutic area knowledge leading to improvements in guideline-directed medical therapy for patients and (2) strategic use of evidence for the company, leading to improved efficiency in delivering healthcare innovation for patients. The first component encompasses a broad spectrum of study modalities, such as the generation of real-world data on the use of medicines, health economics and outcomes research, predictive analytics, clinical management, and patient experience studies using diverse data sources, including real-world databases, registries, and electronic health records. Studies address different research questions and data gaps, including disease burden, treatment patterns, economic modeling, patient experience through ethnographic research, and knowledge derived from artificial intelligence-driven analytics. The second component seeks to ensure that the evidence generated is used strategically. First, it should be the basis for the development of a powerful Value Story that conveys the clinical, economic, and humanistic value of a pharmaceutical product and creates confidence in regulators, payers, and prescribers, thereby strengthening its therapeutic positioning. Second, the evidence generated needs to be presented to stakeholders in a dynamic manner, enhancing decision-making processes and fostering real-time engagement with healthcare providers and payers. Here, we present a data visualization tool that was developed to this end, termed ATLAS. Third, results from real-world evidence studies can be used to inform outcome-based agreements with payers. This type of innovative value strategy that goes beyond traditional financial agreements represents a method to ensure that the clinical and economic value delivered by a product is reflected in healthcare pricing and reimbursement models, facilitating broader access and timely patient care. AstraZeneca Spain's evidence generation approach represents a significant contribution to the evolution of Medical Affairs into a strategic driver of healthcare innovation and, ultimately, patient benefit. It implies an effort in the consolidation of unique features such as the increase in robust methodological capabilities and versatility in the design of studies, the leverage of predictive analytics, the development of advanced data visualization tools, the emphasis on patient-centered research, and the collaboration with partners expert in emerging technologies. The ultimate goals of an ambitious evidence generation vision like this are to provide the data needed for decision making at all levels, to identify opportunities to enhance diagnosis, to accelerate access to innovative therapies, and to ensure more patients receive optimal care.

Indexed as

Delivery of Health CareEvidence-Based MedicinePatient-Centered CareData AnalyticsDecision MakingHumans

Identifiers

PMID41593265
PMCPMC12988914

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.