Analytics

Population Health Management

Our Solution

We synthesize data from diverse health information technology resources, analyse that data into a single, actionable patient record, and take measures to enhance both clinical and financial outcomes.

Our Approach

We define Population Health Management (PHM) as the process of assessing and analyzing healthcare and its delivery to create improvement for a population of individuals. We provide end-to-end solutions and strategies to improve the quality of care, access to care, health outcomes, and healthcare policies. The solutions will assist individuals in reaching their full health potential through preventative care, care coordination, and patient engagement.

Our Specializations

Data collection

Advanced Analytics

Predictive Analytics

Risk Stratification

Gap Analytics

Intervention Analytics

Causal Analytics

Machine Learning

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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