At MEDITECH, we are inspired by the creative ways our customers are translating raw data into actionable insights to improve patient outcomes, enhance staff efficiency, and strengthen operational resilience. Read on to discover how four distinct organizations are using data to achieve real-world benefits in their communities.
Faced with massive systemic disparities in healthcare resources across Africa, Aga Khan University (AKU) knew that standard medical pathways wouldn't scale. Instead of relying on the assumptions of Western protocols — numerous clinic visits over the course of a pregnancy, for example — AKU utilized MEDITECH Expanse to build a comprehensive data repository that drives localized, proactive care. By analyzing both structured and unstructured EHR data, AKU can now identify early risk signals for gestational diabetes at the 16–18 week mark. Identifying potential risks earlier makes it more likely critical interventions happen during the few touchpoints they have with expectant mothers.
AKU is also making use of this structured data repository to address a massive gap in global healthcare: the lack of African representation in medical research and AI development. Historically, AI models and treatment protocols have been trained on datasets from high-income countries. These obviously are lacking in their ability to reflect the genetics, environments, or socioeconomic realities of AKU's patients. By optimizing their digitized EHR data for advanced research, AKU can now partner with global organizations and pharmaceutical companies studying conditions like hypertension or colorectal cancer. By harnessing their own data, AKU is demanding a seat at the global research table and ensuring the future of AI-driven healthcare includes Africa.
At Catawba Valley Health System (CVHS) in North Carolina, analyzing pharmacy data used to mean waiting on external report writers or spending days manually filtering spreadsheets. By leveraging Advanced Data Insights (ADI) datasets and Business and Clinical Analytics (BCA) within Expanse, CVHS shifted to a self-service model. Now, clinicians and operational leaders can independently build interactive dashboards to extract insights in real time, turning processes that once took days into tasks that take mere seconds.
Putting the power of data directly into the hands of pharmacy leaders has yielded improvements both operationally and clinically. Through customized dashboards, CVHS gained enhanced visibility into Computerized Provider Order Entry (CPOE) performance gaps. By taking targeted action to improve workflows, CVHS achieved its CPOE performance goals for the first time, earning an “A” grade in its Leapfrog evaluation.
As they look ahead, CVHS is continuing to use data to drive better outcomes through better decision-making. These efforts include plans for expanding into productivity tracking, medication reconciliation performance, clinical decision support optimization, and much more.
Missed appointments are a major source of inefficiency for health systems; they create inefficiencies that delay care for the entire community. To address this, Boone Health in Missouri implemented predictive no-show modeling within MEDITECH’s Revenue Cycle solution to assign a real-time probability score to every appointment. Achieving an impressive 93% accuracy rate in predicting no-shows, the model empowers staff to proactively identify and reach out to patients at high-risk for missing appointments.
With this advanced insight, Boone Health staff can call patients with high risk scores to resolve transportation issues, coordinate alternate times, or offer virtual visits. In clinics with limited exam rooms, this data even safely guides strategic double-booking to expand access without burdening providers. Since embracing this targeted, data-informed outreach, Boone Health has successfully reduced its no-show rate from 7% to 3%.
For Val Verde Regional Medical Center in Texas, balancing limited resources with high community demand requires working smarter. The hospital launched an initiative — “pull to full” — in its Emergency Department based on the overarching principle that no treatment room should ever be left vacant. Supported by BCA dashboards that refresh every five minutes, ED leaders now have real-time visibility into patient arrivals and room occupancy, allowing them to spot issues early and significantly reduce wait times.
The success of data analytics in the ED has sparked a hospital-wide cultural shift toward data-driven care. Real-time census dashboards now inform top-level leadership decisions; for example, analyzing peak demand times to successfully launch an after-hours convenient care clinic. From ambulatory clinics tracking provider workloads, to ICU dashboards monitoring ventilator tracking, Val Verde is proving that rural hospitals can improve operational efficiency by making choices grounded in evidence.
Learn more about leveraging data's transformative power with MEDITECH Expanse.