Build a Custom Population Health Dashboard Using AI in Minutes
Describe your Population Health Dashboard in plain English and create a production-ready build, from design and development to deployment, in minutes. No code needed.
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Emergent Key Features for Building a Population Health Dashboard
Risk stratification and care gaps produced as named patient lists rather than a coverage percentage.
Risk Bands from Your Own Data
Stratification uses conditions, utilisation and medication burden from your records, so bands reflect your population rather than a generic model.
Gaps as Patient Level Lists
Missing care is produced as named worklists rather than a coverage percentage, which is what allows a team to actually close it.
Registry against Expected Prevalence
Registered numbers are compared with expected prevalence, identifying the undiagnosed population that coverage measures completely miss.
Variation Between Practices
Control and coverage are compared across practices and clinicians, locating where a change in process would deliver most improvement.
Inequality Analysis Built In
Every measure splits by deprivation and demographic group, so equitable access is monitored rather than assumed.
Multiple Gaps Identified Together
Patients missing several elements of care are surfaced, allowing one contact to close a number of gaps rather than several separate calls.
Population Health Dashboard Use Cases You Can Build in Minutes
Band the Population by Actual Risk
Patients placed into risk bands using conditions, utilisation history, medication count and age, band sizes with their share of activity and cost, patients who moved band this quarter and the very high risk cohort with no recent contact.
window.awbMockup = { riskStratification: "Build a population health dashboard placing patients into risk bands from low to very high using conditions, utilisation history, medication count and age, showing band sizes and their share of activity and cost, patients who moved band this quarter, and the very high risk cohort with no recent proactive contact.", careGap: "Build a care gap dashboard listing patients missing recommended care by registry, such as reviews, monitoring tests, immunisations or screening, showing gap counts by practice and clinician, patients with several gaps at once, gaps closed this month, and the cohorts where coverage sits furthest below target.", chronicDiseaseRegistry: "Build a registry dashboard for each long term condition showing registered patients against expected prevalence, patients with recorded measures within target range, those with no review in 12 months, treatment against guideline recommendations, and variation in control between practices and clinicians.", healthInequality: "Build a population inequality dashboard comparing registry coverage, care gap rates, outcome measures and unplanned activity across deprivation quintiles, geography, age and ethnicity where recorded, showing where gaps are widest, and cohorts whose access differs most from the population average."};
Produce a Worklist, Not a Coverage Percentage
Patients missing recommended care by registry including reviews, monitoring tests, immunisations and screening, gap counts by practice and clinician, patients with several gaps at once and the cohorts furthest below target.
window.awbMockup = { riskStratification: "Build a population health dashboard placing patients into risk bands from low to very high using conditions, utilisation history, medication count and age, showing band sizes and their share of activity and cost, patients who moved band this quarter, and the very high risk cohort with no recent proactive contact.", careGap: "Build a care gap dashboard listing patients missing recommended care by registry, such as reviews, monitoring tests, immunisations or screening, showing gap counts by practice and clinician, patients with several gaps at once, gaps closed this month, and the cohorts where coverage sits furthest below target.", chronicDiseaseRegistry: "Build a registry dashboard for each long term condition showing registered patients against expected prevalence, patients with recorded measures within target range, those with no review in 12 months, treatment against guideline recommendations, and variation in control between practices and clinicians.", healthInequality: "Build a population inequality dashboard comparing registry coverage, care gap rates, outcome measures and unplanned activity across deprivation quintiles, geography, age and ethnicity where recorded, showing where gaps are widest, and cohorts whose access differs most from the population average."};
Find the Patients You Have Not Diagnosed Yet
Each long term condition showing registered patients against expected prevalence, patients with recorded measures within target range, those with no review in twelve months, guideline adherence and variation in control between practices.
window.awbMockup = { riskStratification: "Build a population health dashboard placing patients into risk bands from low to very high using conditions, utilisation history, medication count and age, showing band sizes and their share of activity and cost, patients who moved band this quarter, and the very high risk cohort with no recent proactive contact.", careGap: "Build a care gap dashboard listing patients missing recommended care by registry, such as reviews, monitoring tests, immunisations or screening, showing gap counts by practice and clinician, patients with several gaps at once, gaps closed this month, and the cohorts where coverage sits furthest below target.", chronicDiseaseRegistry: "Build a registry dashboard for each long term condition showing registered patients against expected prevalence, patients with recorded measures within target range, those with no review in 12 months, treatment against guideline recommendations, and variation in control between practices and clinicians.", healthInequality: "Build a population inequality dashboard comparing registry coverage, care gap rates, outcome measures and unplanned activity across deprivation quintiles, geography, age and ethnicity where recorded, showing where gaps are widest, and cohorts whose access differs most from the population average."};
Monitor Equity Rather Than Assume It
Registry coverage, care gap rates, outcome measures and unplanned activity compared across deprivation quintiles, geography, age and ethnicity where recorded, showing where gaps are widest and which cohorts differ most from average.
Monitor Equity Rather Than Assume It
Registry coverage, care gap rates, outcome measures and unplanned activity compared across deprivation quintiles, geography, age and ethnicity where recorded, showing where gaps are widest and which cohorts differ most from average.
Build a custom population health dashboard in 4 simple steps
Stratify your population by risk and find care gaps across registries, so proactive work is targeted at the patients most likely to benefit.
Start with your chronic disease registries, risk stratification bands, screening and immunisation coverage, care process measures and the outcomes your contracts are measured on. Emergent builds around your registry definitions.
Link your clinical records, claims or activity data and any deprivation or community indicators you use. Emergent joins them at patient level so risk and gaps are calculated across a whole population rather than a single practice.
Ask to add a registry, alter a risk stratification band, change a care gap definition or add a demographic breakdown, and every patient list rebuilds around it.
Publish one link where clinical teams work patient level gap lists and leadership sees coverage and outcome performance. Proactive care becomes a worklist instead of an aspiration.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
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