Spring 2027

Data Analytics for Population Health

Covers concepts in medical data gathering and analysis, including emerging sources and informatics in population health, using EHR tools for health equity questions.

offering recorded2 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

What you’ll be able to do

  • Describe the main concepts and challenges in data gathering and analysis.

  • Identify aspects of data gathering and measurement, including emerging data sources.

  • Understand the informatics concepts used in population health.

  • Learn to use self-reporting tools in an electronic health record to answer population health questions, including those surrounding health equity.

  • Formulate a population medicine based clinical question and develop a reporting strategy to answer the question.

  • Communicate a population medicine issue, propose a potential path for improvement, and describe how any impact of change could be measured.

Source: UW Guide

Grade history

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average GPA
letter grades

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Prerequisites

Course map

MED SC-M 810, 811, 812, and 813

MEDICINE 914

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Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LAB 004Classroom Instruction0 / 120

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Student experience

the class

The main concepts and challenges in medical data gathering and analysis. Identification of aspects of data gathering and measurement, including emerging data sources. Informatics concepts used in population health. Use of a self-reporting tools in an electronic health record to answer population health questions, including those surrounding health equity. Formulation of a population medicine-based clinical question, and development of a reporting strategy to answer the question. Communication of a population medicine issue, including a potential path for improvement and a description of the measurement of any impact of proposed change.

difficulty & workload

No workload feedback recorded.

Topics

  • Medical data gathering and analysis concepts and challenges.
  • Informatics concepts in population health.
  • Electronic health record tools for population health and health equity.

Skills

  • Using self-reporting tools in an electronic health record to answer population health questions.
  • Formulating population medicine-based clinical questions and developing reporting strategies.
  • Communicating population medicine issues and proposing paths for improvement with impact measurement.

Grades

Instructor

Grade distribution · % of letter grades

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Sources & history

UW–Madison

Catalog & offerings

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Catalog observation history

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Selected offering source records
MEDICINE 914 · Spring 2027

Data Analytics for Population Health

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:632:026621",
    "course_id": "MEDICINE 914",
    "course_uid": "course_b0cd9af0691c428b3127001c",
    "term_id": "1274",
    "source_course_id": "026621",
    "source_subject_id": "632",
    "title": "Data Analytics for Population Health",
    "credits_min": 2,
    "credits_max": 2,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

Grade history

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "c9dfd77bc895a67c5d90074805b95056f18ab652b0755c3ac6ffd82dafda9b8c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}