ENLITIC AND MARUBENI GAIN TRACTION IN JAPANESE MARKET
Enlitic data management solutions are installed in over 50 locations across Japan. Marubeni Corporation and Enlitic are excited to announce the successful deployment of their innovative medical imaging AI solution in more than 50 hospitals and clinics across Japan. The partnership between Clairvo Technologies, a wholly owned subsidiary of Marubeni who are distributing medical devices […]
Data Swamp: Keep Out!
By Doug Rufer, BSBA, RT(R) Artificial Intelligence (AI) can profoundly advance healthcare and we’re just beginning this journey, as so much has yet to be discovered! But to advance care, we must do things differently, change our ways of the past. It is no longer ok to keep repeating the same things over again and […]
ENLITIC APPOINTS RIICHI YAMADA AS NEW DIRECTOR
Enlitic continues to grow and expand it leadership team with global experience. Enlitic, a leading provider of deep learning-powered medical imaging solutions, announced today the appointment of Riichi Yamada to its Board of Directors. With a wealth of experience in the field of technology and a passion for innovation, Yamada is well-equipped to lead Enlitic […]
Data Monetization and Enlitic
When it comes to monetizing your medical imaging data, high quality enriched and de-identified or anonymized data are vital to increasing the value. By removing Protected Health Information (PHI), hospitals can share their imaging data with researchers and companies without revealing PHI and risking patient privacy breaches. Sounds easy, but if it were so […]
The Benefits of Data Standardization
We talk a lot at Enlitic about data standardization and data governance. But what does it really mean? There are many standards in healthcare today, and yet, still, the industry falls short on what’s really needed to achieve true interoperability in a healthcare organization. This is especially true when we talk about that in […]
Reimagined ENtelligence Episode 3 – Anonymization and Deidentification
Our expert panel discusses the importance of proper anonymization and deidentification of PHI and the challenges with getting it done right while retaining clinical relevance. Additionally, we discuss solutions and introduce our soon to be released product, ENCOG™. ?
Deidentifying and Anonymizing Healthcare Data
Deidentifying and anonymizing healthcare data is the process of removing or obscuring personal identifying information to protect patient privacy while still allowing for the data to be used for research or other purposes. This can include removing names, addresses, and other direct identifiers, obscuring, or removing information that could be used to indirectly identify […]
Data Fluency in Healthcare
Data fluency is a topic that has been around for a long time. Those who work in the healthcare industry have seen it over and over, with even the biggest companies. Data fluency challenges remain ongoing. So, what is data fluency? Data fluency is the ability to communicate data insights while understanding the context and […]
Reimagining Healthcare Intelligence
Reimagining Healthcare Reimagined healthcare requires reimagined intelligence. The technology exists today to unlock the potential insights that exist within patient data, IF we look at how we use healthcare intelligence differently. If we look at what it will require to deliver on the promises of precision medicine, on the promises of interoperability and the promises […]