HCUP Data Analysis Services

HCUP Research Support: NIS, NRD, NEDS & More

We specialize in large-scale clinical epidemiology, health-services research, cost analysis, and predictive modeling using Healthcare Cost and Utilization Project (HCUP) datasets.

📊 End-to-end analytics for complex administrative datasets

Our team has hands-on experience working with national- and state-level HCUP datasets and can support you from concept to submission-ready manuscript or report. Whether you are planning a resident thesis, multi-center outcomes study, or grant-funded project, we can help you design and execute robust analyses that stand up to peer review.

We work with HCUP datasets including (but not limited to):

  • National Inpatient Sample (NIS)
  • Nationwide Readmissions Database (NRD)
  • Nationwide Emergency Department Sample (NEDS)
  • Kids’ Inpatient Database (KID)
  • State Inpatient Databases (SID) and related state-level files

Typical projects include:

  • Clinical epidemiology and outcomes research across specialties.
  • Cost-of-care, length-of-stay, and resource utilization analyses.
  • Readmission, complications, and mortality modeling (logistic, time-to-event, competing risks).
  • Risk-adjusted benchmarking, propensity methods, and machine-learning–based prediction.

While we finalize this page, we are onboarding HCUP projects via email.

Please write to contact@thesishelpline.com with:

  • The HCUP dataset(s) you plan to use (e.g., NIS 2016–2022, NRD, NEDS, KID, SID).
  • A brief summary of your study goals or primary hypothesis.
  • Any institutional or thesis timelines we should be aware of.

We will respond with a structured project plan, expected deliverables, estimated timelines, and a transparent quote tailored to your needs.