Predictive informatics enables researchers, physicians and decision-makers to aggregate and analyze disparate types of data, recognize patterns and rules within that data, and make more informed decisions in their efforts to preemptively alter future outcomes.
Huge gains in clinical quality, patient throughput, and sustainable outcomes are attainable through predictive informatics. When researchers can recognize patterns within clinical and research data, they can make new discoveries that empower providers to deliver personalized, real-time, clinically effective interventions at the point of care. Timely, targeted intervention--aimed particularly at 20% of patients who account for 80% of healthcare resource consumption--yields dramatic gains in clinical outcomes and cost containment.
Put simply, predictive informatics examines large, complex datasets to reveal subtle relationships and rules that cannot be seen using traditional methods of analysis. Several key pieces of technology are needed to make predictive informatics possible:
- Facilitate the building and validation of clinical care rules by clinical experts
- Enable ongoing rules management and implementation
RemedyMD is the only solutions provider to offer all of the applications, data, and tools needed to conduct predictive informatics.
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