Powering Integrated
Acute Care With Hospital
Data Analytics
Unify emergency and inpatient data to reveal the operational drivers of patient flow, quality, and financial performance
When attribution is unclear:
- Drill-downs have no depth, and data lacks context.
- Length of stay (LOS) improvement stalls.
- Variation persists.
- Physicians, operations, and finance lack alignment.
- Leaders know where performance is off, but not why.
d2i’s hospital data analytics solution brings clarity to inpatient performance by connecting clinical, operational, and financial data in a way hospital medicine teams can trust and use.
Status Quo: Hospital Data Analytics Challenges
When teams don’t have a shared view of performance:
- Improvement efforts stall on key initiatives like LOS, readmissions, and quality, not because teams don’t care, but because they lack the detailed data that they need to make changes.
- Attempts to optimize in silos have minimal systemwide impact.
- Leaders spend more time reconciling reports than leading change.
Working Together to Break Down Silos
By working with d2i, you’ll see:
- A complete view of inpatient and emergency department performance, including ancillary acute care specialties, across clinical, operational, and financial drivers of length of stay, throughput, and utilization.
- Insights designed for hospital medicine workflows so leaders can interpret performance quickly and focus on what matters
- Reliable, transparent data that reduces reconciliation and debate over whose numbers are right
- Sustained improvement across clinical, operational, and financial initiatives
Trusted data that supports safer, more consistent decisions
Chris Port, MD, FACEP
Chief Medical Officer, Emergency Care Specialists (ECS)
- HEART Score documentation increased from 32% to 75%
- Helped avoid unnecessary hospitalizations
- Estimated $39 million in savings while maintaining a 97% safe discharge rate
Key Capabilities
d2i Performance Insights for Integrated Acute Care™
- Length of stay (LOS) and throughput analytics with patient-level drill-downs
- Balanced physician performance scorecards aligned to your organizational KPIs
- Observation versus inpatient trends, and preventable utilization insight
- Quality and outcomes monitoring, including readmissions and complications
- Resource stewardship indicators tied to cost and efficiency patterns
- Role-based views for hospitalists, directors, and administrative teams
- Multisite rollups and benchmarking for health systems
How It Works
The d2i Approach to Hospital Analytics and Insights
What sets d2i’s hospital data analytics apart is how data from disparate systems is unified, standardized, and contextualized for performance insight.
- Unifying and harmonizing data across sources so performance is measured consistently
- Keeping context close with navigable metrics and drill-downs that show what is happening and why
- Enabling action by making improvement measurable and collaboration easier across teams
Together, let’s make your data matter.
If you’re ready for clearer answers, more productive conversations, and data your teams can stand behind, we welcome a conversation.
FAQ About Hospital Data Analytics
How do you define hospital data analytics?
Hospital data analytics is the process of collecting and analyzing clinical, operational, and financial data from across a hospital’s systems to understand performance and improve care delivery. By turning complex data into clear insights, healthcare leaders and clinicians can identify inefficiencies, reduce variation in care, improve patient outcomes, and make more informed operational decisions.
When you say Integrated Acute Care, what do you mean?
As a CMO, how does d2i help me align physicians, operations, and finance?
How does d2i help improve inpatient length of stay and throughput?
d2i connects clinical, operational, and financial data to reveal the true drivers of LOS, throughput, and utilization. For example, d2i can give insight into whether LOS could be improved by discharging patients to skilled nursing facilities with a faster pre-authorization process. This level of drill-down depth makes delays, clinical variation, and improvement opportunities clear and measurable.
How is this different from standard hospital reports or EHR analytics?
d2i harmonizes data across all systems and workflows (for example, EHR, RCM, scheduling, and patient satisfaction) so metrics are consistent, trusted, and actionable, not fragmented, delayed, or debated.
Is this built specifically for hospital medicine workflows?
How does d2i support quality and outcomes improvement?
d2i makes clinical variation, readmissions, and complications visible at the patient and physician level, which lets teams track progress and sustain improvement initiatives.