Data Warehousing

Professor Jin-Young Park, director of Yonsei University's Yongin Severance Hospital, explains the interconnection of their various smart-technology solutions.

South Korea's National Institute of Health has established a big health database that researchers can tap into to develop new technologies, says director Dr Hyun-Young Park.

The chief information and digital strategy officer explains what achieving certification under the Joint Commission's Responsible Use of Health Data initiative means for Inova's privacy and security practices, and AI data governance.

Healthcare organizations interact with massive amounts of data, from protected health information (PHI) to sensitive financial information. This data is at risk of exposure through human error, internal leaks, or attacks by hackers.

As healthcare organizations (HCOs) move from fee-for-service care models to value-based care (VBC) models, data interoperability can provide a holistic view of the patient and provide the best possible care.

Syapse consolidates and processes real-world patient data from numerous large health systems around the world providing oncology care. Insights derived from this data help those health systems improve their quality of care, strengthen the efficiency of clinical trials and add to the body of clinical knowledge that supports oncology care decisions.

External pressures like reimbursement reduction, clinical quality reporting mandates and price transparency rules further underscore the importance of bringing together diverse data sources.

Despite technological advancements, clinical trial recruitment is often still performed in the same way it was done during the 1990s. By failing to implement new technologies, research companies are missing opportunities to create impactful treatment options more cost-effectively. For trial administrators, a digital-first recruitment solution can redefine patient recruitment by engaging suitable patients through a targeted, interactive experience that makes them feel valued. RingCentral’s comprehensive, customizable cloud-based communications platform enables research companies to maximize efficiency and empower patients across all recruitment stages.

The explosion of digital technologies such as electronic medical records, genome sequencers and Internet of Things (IoT) sensors has ushered in a new era of big data for healthcare and life sciences. It’s now estimated that a single person will generate more than 1 million gigabytes of health-related data in their lifetime.

Healthcare leaders have long realized the importance of real-time decision making for use cases such as early identification of life-threatening conditions. Unfortunately, many healthcare organizations (HCOs) are hampered in their efforts to take swift action by the difficulties in bringing disparate data together for analytics and AI.