Analytic Solutions.

IHME Client Services’ team of experts leverages IHME’s gold-standard datasets, modeling infrastructure, and epidemiological depth to answer strategic questions. Our research guides clients’ internal decision-making. Supporting work can also provide public-facing campaigns direction to inform health care providers or patient populations; drive advocacy efforts; fulfill regulatory requirements; or catalyze government or payer action. Whatever your use case is, get results that hold up to academic peer review and real-world testing.  ​

​​Intervention
​Impact  ​ 

​Quantify health and economic value of multiple interventions relative to status quo using IHME’s advanced simulation platform. IHME Client Services will develop synthetic populations, calibrated to realistically mirror demographic and risk profiles of your target market, and model their progress through different disease states, health outcomes, and associated economic costs. Results can inform decisions about dosage strategies, justify scale-up pathways, or explore non-therapeutic interventions such as screening or behavioral adjustments.   

Built on top of the world’s most robust epidemiological database and years of experience, our simulations can account for simultaneous changes in demographics, and dependent or independent drivers of disease.  

Examples of use cases are available below.
​​

Maternal Health Outcomes

​Understand how heat-stable carbetocin can improve maternal health outcomes in countries around the world. 

Quantifying Screening Impact​

Quantify impact of specific cancer screening protocol changes on critical illness claims volumes.

​​​​Custom Future
Health Scenarios 

Build bespoke medium- or long-range forecasts to explore how shifting demographics, clinical pathways, environmental exposures, or policy choices shape the disease burden and patient populations of tomorrow. IHME Client Services develops scenarios that quantify the health and economic implications of population-level shifts in variables such as:  

• Accelerated vs status quo detection and diagnosis rates for specific conditions. 
• Climate exposures and related health outcomes under commonly used climate change scenarios such as Shared Socio-economic Pathways (SSPs) or Representative Concentration Pathways (RCPs). 
• Funding for novel therapeutics for neurodegenerative diseases expands vs contracts.

Examples of use cases are available below.
​

Projecting Smoking Deaths  

Forecast the number of smoking-related deaths in Nepal and estimate the maximum number of deaths that could be avoided through a hypothetical policy intervention that eliminates smoking in this setting. 

HIV Atlas

​Forecast trends in HIV incidence, prevalence, and mortality if key multilateral funders of HIV/AIDs programs reduce their contributions.  

Cost of
​Illness

Estimate how much is spent on which diseases, for what type of care, and by whom—patients, payers, and governments. This is just a starting point; IHME has developed techniques to model the cost of disease expressed as lost productivity or lost income, of both patients and of caregivers.  

By itself, these outputs can bolster compelling economic arguments for intervention. When paired with forecasting or intervention impact analyses, our cost-of-illness models can help pick the right path to optimize both human health and socioeconomic outcomes.   ​

Examples of use cases are available below.
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Caregiver Lost Income​

Estimate condition-specific direct health spending and caregiver lost income for 24 brain disorders spanning mental, neurological, and cerebrovascular conditions — by spending type, patient demographic, condition, and for every country in the world. ​

Direct Health Spending​

Estimate and forecast direct health spending on Alzheimer’s disease and other dementias across different diagnosis and treatment scenarios.  ​

​Rare Disease or
​Disease Subtypes 

​Zoom in on granular disease stages or subtypes. In cases where the endpoint you need is not available in IHME’s off-the-shelf data sets, IHME Client Services can identify the best available inputs, develop defensible assumptions, and leverage existing IHME estimates for “parent” conditions to drill down to the exact patient population relevant to your portfolio. 

Examples of use cases are available below.
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Lung Cancer

Split Global Burden of Disease estimates of lung cancer by cancer histology and subtype, for key markets of interest. 

Human Metapneumovirus

Split Human Metapneumovirus
(HPMV) from Lower Respiratory Infections. ​