Imagine a busy clinic in the heart of a major city. Patients flow in and out all day, receiving attentive care from doctors, nurses, and other healthcare providers. For each patient, detailed health data is collected, managed, and stored in an electronic health record (EHR) system.
But did you know this data can provide immense value beyond just treating that single patient? Analyzed as a collective dataset, EHR health statistics offer crucial insights into community health trends, behaviors, disparities, and outcomes.
This enables data-driven policies, resource allocation, and interventions that profoundly benefit public health.
The responsible collection and ethical use of population health statistics derived from EHRs presents a major opportunity to positively impact communities across the nation. But what exactly are these socially beneficial health data analytics? And how can healthcare organizations utilize EHRs to promote community health while respecting patient privacy?
At Calysta EMR, we understand the massive potential of your practice's data to drive better care - not just for your individual patients, but for entire communities.
With just a few clicks, you can gain powerful insights into community health trends, behaviors, outcomes, and disparities through responsible analysis of aggregate EHR statistics. This "big data" opportunity allows you to truly understand the unique health needs of the diverse populations you serve.
EHR systems contain a wealth of quantitative health data with the potential to derive statistical insights for entire communities and demographics.
The following table presents several types of health statistics that can be obtained from EHRs, along with a brief explanation of each:
|Health Statistic Type
|Statistics on patient age, gender, race/ethnicity, socioeconomic status, education level and more can help identify groups experiencing health disparities when analyzed across populations.
|Patient address and location information facilitates analyzing health trends and outcomes by region, neighborhood, city, or environment.
|Disease prevalence rates
|Population analysis of EHR records can uncover leading diseases and medical conditions in different communities, age groups, and demographics.
|Treatment efficacy rates
|Tracking treatment outcomes allows assessing real-world efficacy of interventions, medications, and procedures across patient groups.
|Medication and prescription rates
|Monitoring prescription patterns identifies emerging health needs and risks like antibiotic resistance or addiction epidemics.
|Lifestyle factors like diet, exercise, smoking and alcohol use recorded in EHRs can be aggregated to study impacts on community health.
|Statistics on morbidity, mortality, life expectancy, hospitalizations and ER visits provide insights on community health over time.
|Mental health data
|Collective rates of conditions like depression, anxiety, and suicidality guide mental health policies and resource planning.
|Maternal health data
|Reproductive health statistics help address prenatal/postpartum needs and gaps in women’s healthcare access.
|Data stratified by population groups
|Statistical analyses segmented across demographics and locations enables a sharper focus on the unique medical needs of diverse communities.
While individual EHRs guide patient care at the clinical level, in aggregate they form “big data” capable of supporting population health management. Some ways community health statistics from EHRs are applied include:
Population health analytics direct resource allocation, programs, and health priorities when creating local, state, and federal public health policy.
Statistical variances across demographics and locations spotlight inequitable access, outcomes, and social determinants of health needing addressed.
Understanding community disease burdens and health behaviors assists optimizing health funding and services.
Ongoing collection of population health statistics enables surveillance of emerging health threats, epidemics, chronic disease rates and more.
Aggregate EHR data allows researchers to conduct studies on disease prevalence, treatments, health behaviors, disparities and outcomes across diverse patient groups.
Programs addressing specific community health needs can use EHR statistics to accurately assess and monitor local priorities and gaps.
Community health interventions can quantify success through statistical analysis of relevant EHR health indicators.
The aggregation of individual EHR data for broad community analysis creates clear privacy risks if not carefully managed:
Calysta’s health analytics tools enable you to:
And you can do all this while rest assured we have you covered on ethics, privacy and security. Our EHR system is purpose-built to maintain patient confidentiality through robust data protections every step of the way.