Technology is the means, not the end.
The cognitive machine for healthcare— a revolutionary “brain” for clinical decision making—doesn’t exist to excite technologists. It exists to help clinicians heal people better, faster, and more completely. That’s your mission as a healthcare provider, and we share it.
That’s why we measure our success based on your success and the quality healthcare outcomes for your patients. JVION knows your success depends on having a partner in your mission for compassionate patient care, and not a tech vendor who drops off a box and a manual and walks away.
That’s why we commit to establish and collaborate on the best tools and methods to help you adopt the powerful Cognitive Clinical Success Machine to best deliver the fastest and most comprehensive results for your patients. We’ve shared the proven CEAM approach to deployment and adoption, as well as the Agile methodology for fast, flexible, adaptive implementation that ensures rapid, measurable success in outcomes.
Cognitive machines and AI introduce unique opportunities and considerations for healthcare providers to ensure successful adoption. Combining lessons gathered across multiple implementations and an understanding of the agile implementation approach, JVION has identified attributes that enable the success of cognitive machine adoption and patient impact. A cognitive machine for healthcare must be:
Individualized: Cognitive machines must have the horsepower to make sense of complex, incomplete, diverse, disparate, and fluid patient data. This includes socioeconomic, behavioral, and clinical factors that determine risk propensity. The resulting outputs are detailed and specific enough to drive individualized action tailored to a patient’s risk trajectory and likelihood to engage.
Action Orientated: Cognitive science machines should “think” about every patient in the same way as a clinician—as a complex, multi-dimensional individual who is constantly changing based on internal and external factors. These machines account for the full patient, they can identify inter-related risk and deliver recommended actions for the entire person—not just one adverse event. It’s a holistic cognitive patient profile.
Broad/Extendible: The cognitive machine considers all clinical success factors, such as risk of hospitalization, length of stay, and patient deterioration. This comprehensive perspective drives the best patient outcomes, building success and trust in adoption and application for both caregivers and patients.
Value Focused: A pre-tuned and pre-tested cognitive machine delivers the fastest, greatest value, encouraging enthusiastic adoption. You can calibrate these machines to the local patient population in just weeks. The cognitive machine recommends actions and insights that reduce the need for interpretation, turn information into value, and improve patient experience and health.
This precision, individualization, comprehensiveness and value of the cognitive machine facilitate successful adoption in several key ways:
- Delivers the “why” behind the clinical recommendations
- Demonstrates maximum clinical and operational effectiveness
- Delivers savings and improves outcomes and patient-centered care that drive staff engagement
- Fits directly into your workflow to help clinicians identify the best options for optimum outcomes and greatest patient experience