Data management (DM) encompasses different processes that are involved in storing, organizing, and managing the critical data generated by organizations. It is a crucial process that ensures that the data created by enterprises is precise, obtainable, and accessible.
An efficient data management process requires a data management strategy and well-established methods for its proper functioning. Healthcare data management includes the management of data collected from different sources and is very important for improving healthcare outcomes. Clinical data management (CDM) plays an essential role in generating highly reliable and useful data in clinical trial research.
Know anyone building innovative solutions that belong in this 'Data Management (DM)'?
Healthcare providers are now seeing the longtail effects of the pandemic persist with significant staffing shortages and increased turnover. Despite these challenges, today's forward-looking organizations are advancing digital transformation. The aim is to leverage digital solutions and artificial intelligence capabilities to enable data-driven decision making at the point of care. Through streamlined decision making, these solutions can better support overburdened clinicians, improve patient outcomes and bolster financial performance. During the panel discussion, clinical and medtech leaders will discuss approaches to data management and workflow automation that can improve patient care and reduce administrative burden.
Digital Health technologies and their data potentially offer significant opportunities for health management, with both individuals and health research. Research areas includes pharmaceutical trials, medical studies, public health programs, pandemic response, and consumer health product evaluation. With suitably organized and maintained health data generated by a consumer or home Digital Health devices combined with medical records from other sources greatly enables these opportunities. This talk discusses a practical approach to organizing and managing this data with standards and requirements.
The COVID-19 pandemic has been a catalyst for digitalization in healthcare, turning a trend 30+ years in the making into a reality.
Our expert panel will share specific data management and analytics examples to help you identify opportunities for value-added innovation and generate the evidence you need to make informed decisions and allocate resources. In this webinar, you will learn more about what is driving the need for data connectivity internally and externally.
The proliferation of data and digital footprints beyond the EHR holds immense promise for improved experiences through the lens of understanding patients and consumers as whole people. With greater insight, however, comes the challenge of enhanced data management, including access to data and rationalization of data.
In this session, leaders from health systems and public health will share how their organizations have become more empowered to improve care coordination, personalize experiences, and inform business and clinical decision-making by bringing a flexible approach to data management.
International Conference on Medical Data Mining aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Medical Data Mining. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Medical Data Mining.
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DOS™ combines data from many proprietary source systems, breaking it free from a complicated, expensive monolith that locks data away, to provide actionable insights. DOS™ delivers those insights into …
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