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Healthcare

We help improve patient outcomes and achieve success in value based payment models.

We know healthcare.

We help hospitals, healthcare systems, physician practices, health plans, and health organizations use data to improve outcomes and create a positive healthcare experience for staff, clinicians, and patients.

The Splash healthcare analytics team has professional experience in predictive modeling, machine learning, artificial intelligence, clinical analytics, biostatistics, and health records data management.

We understand that every healthcare organization has its own data challenges and opportunities. We also know that those organizations are losing millions of dollars in revenue, lost appointments, and new patient opportunities. These companies could save money if their data was optimized and working at capacity. Splash works with you to develop solutions that are targeted and  specific to your financial and clinical needs.

Predict real time risk using analytics.

Millions of dollars in fines are assessed to hospitals for 30-day, all-cause readmissions that follow admissions for specific conditions. But what clinical and demographic factors can predict whether a patient with heart failure and multiple comorbidities will return after discharge? We employ advanced statistical modeling to determine these factors and develop measured clinical programs to impact them.

At discharge, what is the real-time probability a patient will return? Our machine learning applications provide accurate real-time estimates of readmission risk using organization-specific clinical data, external retrospective data, and orthogonal sources such as geographic and demographic data. What is the return on investment of a post-discharge care management strategy or partnership? We provide the statistical framework and support for conducting prospective, randomized, controlled, and retrospective studies for answering such queries and inform decision-making.

Enhance clinical quality using data transparency.

From Accountable Care Organizations (ACOs), to ambulatory surgical centers and health plans, clinical quality is being measured and incentivized. We build dashboards and reporting solutions for automating the measurement of clinical quality that focus on extracting actionable insights.

Provide clinical decision support.

Machine learning and artificial intelligence will never supplant physicians’ expertise. However, these tools can provide a significant boost to your physicians’ judgment and help mitigate risk. We partner with institutions to develop clinical decision support systems that apply adaptive machine learning and artificial intelligence to furnish diagnostic probabilities and retrieve similar past cases to justify clinical decisions.

Population health analytics improve patient outcomes.

Every patient deserves personalized and tailored care. Population health analytics ensures the right care is delivered to the patients who need it, when they need it. We develop analytic tools that enable organizations to track patient chronic conditions, comorbidities, disease progression, adverse events, and pharmacy use. Reporting and analysis are just the first step. We work with organizations to develop and test evidence-based care strategies and protocols for moving the needle on population health.