Quality, Assessments, and Audit

Population Health Management

Our Solution

Improving patient care outcomes and achieving effective care coordination are critical components of improving quality of care. Our in-house assessments and analytics offer valuable insights into the evaluation of various programs and services so that you can improve your health outcomes.

Our Approach

We provide in-depth analysis and recommendations of various quality measures, assessments, and audits on nationally recognized rating systems. We can also help with estimating the impact on interventions, care management, process improvement projects (PIP), or quality improvement projects (QIP) on Healthcare Effectiveness Data and Information Set (HEDIS) metrics, utilization, and other performance outcomes.

  1. Estimating the impact on interventions on Healthcare Effectiveness Data and Information Set® (HEDIS) metrics.
  2. Testing the impact of a Process improvement project (PIP) or quality improvement project (QIP).
  3. Applying health performance measures to analyze processes and outcome measures
  4. Analyzing health performance measures to improve processes and outcomes

Our Specializations

Quality Rating Assessments and Recommendations

Value-based Care Improvements

Program Evaluation Services

Process Deviation Assessmentn

Fraud Detection

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Frequently Asked Questions

Who Benefits from Health Analytics?
Our analytic solution helps provider networks and health plans with risk stratification of members as well as intervention identification for longitudinal or episodic care management
Our team of experts consists of Health Economists, Data Scientists, Biostatisticians, and Analysts
 Using predictive analytics, our team of experts can help identify at-risk patient populations for a particular health condition or for suboptimal treatment responses, design appropriate interventions, and improve their overall health
Use of health analytics can address healthcare wastage, leading to lower administrative costs and return focus to patient and clinical costs. Additionally, use of predictive analytics can reduce overall healthcare administrative costs for payers and providers by streamlining care, reducing errors, identifying cost savings.

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Population Health Management

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