Healthcare Analytics

Healthcare Analytics

The power to access and analyze enormous healthcare data sets can improve healthcare provider’s ability to anticipate and treat illnesses. This data can help recognize individuals who are at risk for serious health problems. The ability to use big data to identify waste in the healthcare system can also lower the cost of healthcare across the board.

The vast amount of data generated and collected by a multitude of stakeholders in healthcare comes in so many different forms — insurance claims, physician notes, medical records, medical images, pharmaceutical R&D, conversations about health in social media, and information from wearables and other monitoring devices.

Population Health Management

Improving population health outcomes and lowering costs through data aggregation and insight driven prioritization, risk stratification, coordination, and management of patient-centered care. Whether it is dashboards/visualizations or advanced analytics like natural language processing and deep learning, Quematics can help.

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Population Risk Management

By analyzing both current and historical clinical, social and cultural patient data, providers can identify, score and stratify high-risk patients and intervene before they become critical, while reducing unnecessary ED visits and hospital admissions.

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Population Care Management

Identify treatments, programs and clinical pathways that are not delivering demonstrable benefits or are costing too much, and then determine how to replace them with more efficient and effective options. Build sustainability into a health system by bringing clinical, financial and operational data together to analyze resource utilization, productivity and throughput. Enhance preventive care, reduce per capita cost of patient care, and enhance progress in diagnostics and medical research.

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Patient Engagement

Engage patients in a meaningful way to ensure continuity of care. Create care coordination protocols driven by evidence based medicine and personalized care. Make data on patients actionable by generating alerts to patients and providers.

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Clinical Outcomes Management:

Extract clinical and patient-reported data from multiple sources, collate and process it into meaningful information. Stratify this information based on KPIs like mortality, disease prevalance, patient experience and cost of care. Perform in-depth analysis of these health outcomes and rank them against nationwide healthcare benchmarks. Improve performance and enhance clinical quality initiatives.

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Hospital Management and Administration

Reduce cost, improve productivity, and increase growth with information from across the healthcare continuum.

Clinical Performance: Get a powerful view of your hospital and health system’s clinical performance to detect unseen inefficiencies, prioritize opportunities, and set improvement goals based on relevant, dependable, quantitative information.

Marketing: Apply insights and optimize the marketing programs that will support the financial health of your organization and improve patient engagement.

Financial Forecasting, Budgeting and Risk Management: Manage revenue cycles and operations by optimizing spending and keeping staff and supply costs under control.

Physician Practice Assessment and Alignment: Assess hospital-employed physician group practices, benchmark physician and practice performance, and identify high value physicians.

Medical Staff Optimization: Assess staff resource allocation through supply and demand.

Hospital Resource Allocation: Optimize the use of hospital resouces like operating theatre and bed occupany based on initial patient visits.

Real-Time Data Integration and Decision Support: Provide a comprehensive view across a hospital, health system, or region so you can see patterns that affect your entire patient population. This knowledge can help you improve care coordination, achieve quality compliance, and make decisions that will improve clinical operations, reduce waste, and enhance financial performance.

Readmission Reduction: Identify the unique factors affecting your hospital?’s readmission rates, so you can intervene and refine treatment and care before risks are increased, outcomes are affected, and costs are incurred.

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