Industry Research Finds Two-Thirds of Clinical Data Managers and CRAs Believe Current Inefficiencies Put Data Quality at Future Risk
Veeva Systems (NYSE:VEEV) released industry research revealing significant challenges in clinical data management. The study found that two-thirds of data managers and clinical research associates (CRAs) believe current inefficiencies threaten future data quality.
Key findings show that data managers spend over 12 hours per week per study on manual data reconciliation, with 97% performing reconciliation outside clinical systems. Major inefficiencies stem from manual data re-entry (68%), disconnected systems (59%), and inefficient workflows (58%).
The research highlights that 71% of data managers expect increased automation in data cleaning over the next two years, while 81% believe connecting clinical systems would improve study execution. However, challenges persist, including protocol complexity (58%), resource constraints (57%), and change resistance (48%).
Veeva Systems (NYSE:VEEV) ha pubblicato ricerche di settore che evidenziano significative sfide nella gestione dei dati clinici. Lo studio rileva che due terzi dei data manager e dei CRAs ritengono che le inefficienze attuali mettano a rischio la qualità futura dei dati.
Risultati chiave: i data manager dedicano oltre 12 ore a settimana per studio al riconciling manuale, con il 97% che effettua la riconciliazione al di fuori dei sistemi clinici. Le principali inefficienze derivano da reinserimento manuale dei dati (68%), sistemi scollegati (59%) e flussi di lavoro inefficienti (58%).
Lo studio evidenzia che il 71% dei data manager si aspetta una maggiore automazione nel data cleaning nei prossimi due anni, mentre l’81% ritiene che collegare i sistemi clinici migliorerebbe l’esecuzione degli studi. Tuttavia permangono sfide come la complessità del protocollo (58%), limitazioni di risorse (57%) e resistenza al cambiamento (48%).
Veeva Systems (NYSE:VEEV) publicó una investigación del sector que revela desafíos significativos en la gestión de datos clínicos. El estudio encontró que dos tercios de los gestores de datos y de los CRAs creen que las ineficiencias actuales amenazan la calidad de los datos en el futuro.
Los hallazgos clave muestran que los gestores de datos dedican más de 12 horas a la semana por estudio a la conciliación manual, y que el 97% realiza la conciliación fuera de los sistemas clínicos. Las grandes ineficiencias provienen de la reintroducción manual de datos (68%), sistemas desconectados (59%) y flujos de trabajo ineficientes (58%).
La investigación destaca que el 71% de los gestores espera un aumento de la automatización en la limpieza de datos en los próximos dos años, mientras que el 81% cree que conectar los sistemas clínicos mejoraría la ejecución de los estudios. Sin embargo, persisten desafíos como la complejidad del protocolo (58%), limitaciones de recursos (57%) y resistencia al cambio (48%).
Veeva Systems (NYSE:VEEV)가 임상 데이터 관리의 중대한 도전 과제를 밝혀 내는 업계 연구를 발표했습니다. 연구에 따르면 데이터 관리자와 CRA의 3분의 2가 현재의 비효율이 향후 데이터 품질에 위협이 된다고 믿습니다.
주요 발견으로는 데이터 관리자가 연구당 주 12시간 이상을 수동 데이터 조정에 소비하며 97%가 임상 시스템 외부에서 조정을 수행하는 것으로 나타났습니다. 주요 비효율은 수동 데이터 재입력(68%), 시스템 간 연결 불가(59%), 비효율적 워크플로우(58%)에서 기인합니다.
연구는 다음 2년 안에 데이터 클리닝 자동화가 증가할 것이라고 데이터 관리자의 71%가 예상하며, 임상 시스템 연결이 연구 실행을 개선할 것이라고 81%가 믿고 있음을 강조합니다. 그러나 프로토콜의 복잡성(58%), 자원 제약(57%), 변화에 대한 저항(48%) 등의 도전과제는 여전히 남아 있습니다.
Veeva Systems (NYSE:VEEV) a publié une étude sectorielle révélant des défis importants dans la gestion des données cliniques. L’étude a révélé que les deux tiers des responsables de données et des CRAs pensent que les inefficacités actuelles menacent la qualité future des données.
Les conclusions clés montrent que les responsables de données consacrent plus de 12 heures par semaine et par étude à la réconciliation manuelle, et que 77% ou 97% selon les sections, réalisent la réconciliation en dehors des systèmes cliniques. Les principales inefficacités proviennent de la saisie manuelle des données (68%), des systèmes déconnectés (59%) et de workflows inefficaces (58%).
La recherche souligne que 71% des responsables s’attendent à une augmentation de l’automatisation du nettoyage des données dans les deux prochaines années, tandis que 81% estiment que connecter les systèmes cliniques améliorerait l’exécution des essais. Cependant des défis subsistent, tels que la complexité des protocoles (58%), les contraintes de ressources (57%) et la résistance au changement (48%).
Veeva Systems (NYSE:VEEV) veröffentlichte branchenspezifische Forschungsergebnisse, die erhebliche Herausforderungen im Bereich des klinischen Datenmanagements aufzeigen. Die Studie ergab, dass zwei Drittel der Datenmanager und CRAs der Ansicht sind, dass aktuelle Ineffizienzen die zukünftige Datenqualität gefährden.
Wesentliche Ergebnisse zeigen, dass Datenmanager mehr als 12 Stunden pro Woche und pro Studie mit manueller Datenabstimmung verbringen, und 97% führen die Abstimmung außerhalb klinischer Systeme durch. Große Ineffizienzen resultieren aus manueller Dateneingabe (68%), losgelösten Systemen (59%) und ineffizienten Arbeitsabläufen (58%).
Die Studie hebt hervor, dass 71% der Datenmanager in den nächsten zwei Jahren eine verstärkte Automatisierung bei der Bereinigung von Daten erwarten, während 81% glauben, dass die Verknüpfung klinischer Systeme die Durchführung von Studien verbessern würde. Dennoch bestehen Herausforderungen, darunter Protokollkomplexität (58%), Ressourcenknappheit (57%) und Widerstand gegen Veränderungen (48%).
Veeva Systems (NYSE:VEEV) نشرت أبحاث صناعية تكشف عن تحديات كبيرة في إدارة البيانات السريرية. وجدت الدراسة أن اثنين من كل ثلاثة من مديري البيانات ومراقبي البحث السريري(CRAs) يعتقدون أن الاختلالات الحالية تهدد جودة البيانات في المستقبل.
تشير النتائج الرئيسية إلى أن مديري البيانات يقضون أكثر من 12 ساعة في الأسبوع لكل دراسة في مطابقة البيانات يدوياً، وأن ـ97% يقومون بالمطابقة خارج الأنظمة السريرية. تنبع عدم الكفاءة الرئيس من إدخال البيانات يدويًا (68%)، وأنظمة غير متصلة (59%)، وتدفقات عمل غير فعالة (58%).
تبرز الدراسة أن 71% من مديري البيانات يتوقعون زيادة الأتمتة في تنظيف البيانات خلال العامين المقبلين، بينما يرى 81% أن ربط الأنظمة السريرية سيحسن تنفيذ الدراسات. غير أن التحديات ما زالت قائمة، بما في ذلك تعقيد البروتوكولات (58%)، وقيود الموارد (57%)، ومقاومة التغيير (48%).
Veeva Systems (NYSE:VEEV) 发布了行业研究，揭示临床数据管理方面的重大挑战。研究发现 数据管理者和临床研究协调员（CRAs） 的三分之二认为当前的低效会威胁未来的数据质量。
关键发现显示，数据管理者在每个研究上每周花费 超过 12 小时 进行手动数据对账，且 97% 的对账在临床系统之外进行。主要低效源于手动数据再次录入（68%）、系统断开（59%）以及工作流低效（58%）。
研究还强调，71% 的数据管理者预计未来两年数据清洗将实现更多自动化，而 81% 的人认为连接临床系统将提升研究执行效果。然而，挑战仍在，包括方案复杂性（58%）、资源约束（57%）以及对变革的抵触（48%）。
- 71% of data managers anticipate increased automation adoption for data cleaning
- 75% of data manager teams are in process of modernizing their operations
- 81% recognize potential benefits of connected clinical systems for streamlined execution
- 97% still perform reconciliation outside clinical systems or use mixed systems
- Data managers waste over 12 hours weekly per study on manual data reconciliation
- Multiple inefficiencies reported: manual data re-entry (68%), disconnected systems (59%), inefficient workflows (58%)
- Significant barriers exist: protocol complexity (58%), budget constraints (57%), change resistance (48%)
Insights
Veeva's research strategically positions its clinical data solutions to address critical industry inefficiencies that affect 97% of data managers.
Veeva's industry research has revealed significant inefficiencies in clinical trial data management that create strategic opportunities for the company's solutions. The research found that two-thirds of data managers and clinical research associates (CRAs) believe current inefficiencies put data quality at risk, with manual processes consuming
The findings strategically highlight pain points that Veeva's clinical data management solutions are designed to address. With
This research serves a dual purpose - demonstrating Veeva's thought leadership while validating their product strategy. The finding that
This study effectively positions Veeva as understanding customer pain points while offering solutions that address the industry's most pressing challenges in data quality and efficiency.
Report shows completing manual data reconciliation, cleaning, and review takes each data manager more than 12 hours per week, per study
Each round of manual data review, cleaning, and reconciliation takes a data manager more than 12 hours per week, per study to complete. This is because nearly all respondents (
Key insights from the research on the state of clinical data management include:
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Automation is the number one priority for data managers. When asked how the data manager role will evolve over the next two years,
71% of respondents say they expect to be using more automation for data cleaning. Automated processes across technologies can shift effort from spreadsheets to strategic initiatives, like risk-based data management.
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CRAs want better documentation and tracking. The lack of connectivity across clinical systems requires CRAs to conduct manual validation of monitoring visits. Nearly half (
44% ) say improving documentation and tracking is their top priority.
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Complexity, resources, and resistance to change are barriers. The main challenges to efficiency include protocol complexity (
58% ), budget and resource constraints (57% ), and resistance to change (48% ). This shows an opportunity for clinical leaders to continue driving change for data managers and CRAs to work in new, more effective ways.
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Connected systems viewed as key to productivity. Most respondents (
81% ) believe connecting clinical systems would streamline study execution. The report shows75% of data managers say their teams are in the process of modernizing compared to57% of CRAs, yet many feel SOPs do not optimize use of available tools or align with real-world workflows, highlighting a gap that can prevent progress.
"The risk of poor data quality spans far beyond a monitoring visit or listing review, potentially impacting regulatory submission success. The research shows that the people executing studies need change and are asking for simpler processes and automation for more efficient clinical trials," said Manny Vazquez, senior director, Veeva Clinical Data strategy.
The Veeva Clinical Data Industry Research surveyed more than 85 data managers and CRAs across sponsors and clinical research organizations (CROs) who use various technologies and tools to execute clinical trials. The research examines productivity in Phase III trials, identifies root causes, and offers insights for advancement. To learn more, read the full report.
About Veeva Systems
Veeva (NYSE: VEEV) delivers the industry cloud for life sciences with software, data, and business consulting. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,500 customers, ranging from the world's largest biopharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves. For more information, visit veeva.com.
Veeva Forward-Looking Statements
This release contains forward-looking statements regarding Veeva's products and services and the expected results or benefits from use of our products and services. These statements are based on our current expectations. Actual results could differ materially from those provided in this release and we have no obligation to update such statements. There are numerous risks that have the potential to negatively impact our results, including the risks and uncertainties disclosed in our filing on Form 10-Q for the period ended July 31, 2025, which you can find here (a summary of risks which may impact our business can be found on pages 33 and 34), and in our subsequent SEC filings, which you can access at sec.gov.
Contact:
Deivis Mercado
Veeva Systems
925-226-8821
deivis.mercado@veeva.com
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SOURCE Veeva Systems
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