News & Insights
The search for true interoperability can be time consuming, frustrating, and confusing. Wide claims are often made about data integration solutions, only to later find they aren’t truly interoperable—and the chatter at HIMSS will be no different. The best way to ensure a satisfying conference experience is to pull the plug on the propaganda and get prepared.
Cut through the clutter by using the three C’s of true interoperability as your guide: care, collaboration and cost.
By John Raden, Chief Executive Officer
Are confidentiality, privacy, security and sharing incompatible goals?
As healthcare professionals, we know that every data point presents an opportunity to learn and improve care. We want to integrate and share data. Yet often, we don’t. We’re standing at the precipice of the healthcare information technology and big data information age, with data security concerns as one of the most pressing issues in the modern healthcare-computing environment. And it’s impeding our progress.
Billions have been invested to capture and store patient data, resulting in the creation of massive quantities of healthcare data—more today than at any point in history. Yet, an estimated 80% of that data remains unstructured, and therefore, locked and inaccessible.
Through the lens of precision medicine, all disease, no matter how common, is rare disease.
By Peter J. Embi, MD, MS, FACP, FACMI, Co-founder Signet Accel
Practicing medicine today is increasingly reliant on the documentation, retrieval and use of vast amounts of clinical data. We manage medical information with computers, and electronic health records (and the time we spend on them) have become ubiquitous in our practices. The challenge, now, is to use it—fully and responsibly—so we might realize the potential of these rapidly-growing amounts of health data. Our aim is not only to improve care, but also to advance biomedical research and discovery, so that we can take better care of patients both now and into the future. Achieving this requires that we collect, integrate and analyze data, often across sites separated by geography and technology.
By Dr. Philip R. O. Payne, PhD, FACMI, Co-founder Signet Accel
There have been a variety of publications and debates over the past several years arguing for the adoption of lessons learned from the private sector in order to increase the speed, scale, and scope of innovation in the healthcare and life sciences research communities. At their core, these arguments speak to the need to increase the agility and data-centricity of investigative efforts that seek to develop and disseminate new biomedical knowledge. However, when considering such a charge, a number of important questions come to mind, specifically: 1) can we map the role of a researcher to that of an entrepreneur, as one would find in the private sector; and 2) what are the foundational resources needed for such researchers to pursue their activities in a manner that is analogous to entrepreneurs in the private sector?
The biopharmaceutical industry is under tremendous pressure to deliver more robust research methodologies, investigate new treatments, and better understand (and predict) interactive affects for those with comorbidities and concomitant treatments. Yet, at the same time, an estimated 80% of healthcare data remains unstructured, and therefore locked and inaccessible.