Digital health requires a healthy data pipeline that’s aggregated, normalized, and deduplicated, and ready to be integrated into workflows across the health ecosystem for care coordination, analytics and machine learning.
In most industries, change or evolution isn’t a gradual process. You might have years and years of equilibrium, with little improvements here and there, and then all of a sudden a massive technology and/or business model change takes us to a new level.
InterSystems underlines its ongoing commitment to drive collaboration and provide interoperable systems for joined up health and care.
Practical tips from the InterSystems workshop organised at the HIMSS & Health 2.0 European Conference in Helsinki.
How do we ensure the reliability, scalability, performance and dependability of EMRs and innovate at the same time?
Once organizations put the right technologies, teams and process analysis pieces in place, AI and machine learning programs will be poised to achieve the kinds of success expected of such hyped technology.
Every healthcare encounter represents an opportunity for field research.
A chat with Joe DeSantis, vice president of HealthShare Platforms, about the impact of shared information on providers and patient care.
While many entities are grappling with how to succeed in these value-based care models, the truth of the matter is that population health actually requires a patient-centric approach in order to be effective.
Lincolnshire Health and Care’s (LHAC) Gary James explains how the British county’s new integrated Care Portal system, based on InterSystems HealthShare®, is helping transform healthcare for
an aging and widely dispersed population.