CHDA study materials
CHDA study resources

CHDA case studies

CHDA · Put your knowledge to work in context.

The Certified Health Data Analyst (CHDA) is an AHIMA credential that recognizes expertise in health data analysis, reporting, and business needs assessment. It is built for practitioners who acquire, manage, analyze, interpret, and transform healthcare data into accurate, consistent, and timely information, balancing big-picture strategic vision with day-to-day detail. CHDA holders are expected to demonstrate broad organizational knowledge and to communicate with individuals and groups at multiple levels, inside and outside the organization. Eligibility requires either an RHIT or RHIA credential, or a bachelor's degree or higher from an accredited college or university. The CHDA case studies are 5 cases and about 4,178 words.

1

The Sepsis Score Everyone Ignores

You are the analytics lead at a 340-bed community hospital. Fourteen months ago the hospital licensed a vendor sepsis risk score that was externally validated at an AUC of 0.78.

820 words, about 4 min
2

The COO Wants a No-Show Model by Quarter End

A 12-site orthopedic group schedules about 210,000 appointments per year. Overall no-show rate is 18.4% against a specialty benchmark of roughly 11%.

820 words, about 4 min
3

Readmissions Across Three EHRs and a 90-Day Claims Lag

You support analytics for a three-hospital accountable care organization. You are asked to build a 30-day all-cause readmission measure for 2023 discharges.

844 words, about 4 min
4

Ranked 45th of 48: Reading a League Table Honestly

A statewide quality collaborative publishes 30-day all-cause readmission rates for 48 hospitals as a ranked league table. Your 180-bed hospital appears at 16.1% (412 index discharges) against a state rate of 13.9%, placing you 45th of 48.

832 words, about 4 min
5

The Cloud Export and the 'QI' Label

A cardiology service line wants to build a 30-day heart-failure readmission model. They ask your analytics team to export eight years of data on roughly 54,000 patients - name, medical record number, date of birth, admission and discharge dates, ZIP code, and structured diagnosis fields - to a cloud machine-learning vendor's US-East region for a 12-month pilot.

862 words, about 4 min