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Epidemiology Research & Services

Your EMR is a powerful platform for supporting epidemiological research services

that supports capturing large amounts of data for modelling, analysis and statistics showing outcomes, psychographics and trends. At Data Clinic we can provide information management and statistics services that can compliment epidemiological research.

The EMR provides a broad cohort (scope of data) that can be used for a variety of data analysis on epidemiological specific attributes such as new health programme implementations, genomics, drug studies, immunisations and at risk areas.

EMR analysis can be used for trend modelling, application of mathematical models, gaining insight into observational evidence or the development of a Epedemiological Ratings Scales that can show a heat map across geographies or custom perspectives.

Trends can be used to provide research and analysis directions and creation of in-depth epidemiological profiles that can be useful in targeting and tracking issues and outcomes across different programmes.


High-level outcome studies can enable administrators to manage chronic diseases by indicators. Once direct data entry by providers of critical information such as medications and immunizations is implemented, an EMR's potential ability to perform any number of outcomes studies will ease the burden of conducting cost analyses and budgetary forecasts.

Access to relevant data and the ability to analyze large sets of statistically significant data could speed research and healthcare advancements by leaps and bounds.

Examples of the attributes you can potentially use for EMR epidemiological characteristics are:

EPIDEMIOLOGICAL

OVERALL HEALTH

CONTRIBUTORS TO THE BURDEN OF DISEASE

CHRONIC DISEASE FACTORS

INFECTIOUS DISEASE FACTOS

IMMUNISATION LEVELS

BREAKDOWN BY DISEASE CLASSIFICATIONS AND GROUPS

EMERGENCY ADMISSIONS TO HOSPITALS

LIFE EXPECTANCY AT BIRTH

AVOIDABLE MORTALITY

PREMATURE MORTALITY

DISABILITY

by: Data Clinic
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Epidemiology Research & Services Anaheim