Interview scorecard template

Health Informatics Specialist interview scorecard

Evaluate Health Informatics Specialist candidates across 4 weighted areas: technical proficiency, systems and trade-offs, evidence and rigour, and collaboration and communication. Technical proficiency leads at 35%, so check fluency with HL7 v2 segments, FHIR resources, SQL against EHR reporting tables (Epic Clarity, Cerner HealtheIntent), plus terminology work in ICD-10, SNOMED CT. Use the rubric to compare role-specific evidence consistently.

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software dataclinical data qualityepic ehrhealth informaticshl7 fhir
TL;DR
For technical proficiency, look for evidence the candidate names specific interface engines, writes joins against Clarity or Caboodle from memory, and maps local codes to SNOMED or LOINC accurately. For systems and trade-offs, look for evidence the candidate explains latency, downtime and HIPAA minimum-necessary trade-offs behind a specific integration, including what broke and what they would build differently. Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
Complete evaluation framework

What to assess and how to score it

Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.

01
Evaluation factor

Technical proficiency

35% weight

Check fluency with HL7 v2 segments, FHIR resources, SQL against EHR reporting tables (Epic Clarity, Cerner HealtheIntent), plus terminology work in ICD-10, SNOMED CT and LOINC.

Evidence to listen for

  • Command of the languages, frameworks, and data tools the role actually uses
  • Understands correctness, performance, and failure modes, not just syntax
  • Has opinions on testing and can justify them
  • Reads and reasons about code they did not write

Five-point scoring guide

1
Poor

Cannot work independently; fundamentals are missing.

2
Needs Improvement

Weak fundamentals; output needs heavy review.

3
Satisfactory

Competent for the role; needs guidance on complex or unfamiliar work.

4
Very Good

Strong practitioner; handles hard problems with little guidance.

5
Excellent

Names specific interface engines, writes joins against Clarity or Caboodle from memory, and maps local codes to SNOMED or LOINC accurately.

02
Evaluation factor

Systems and trade-offs

25% weight

Probe how they weighed interface engine routing versus API pulls, batch versus real-time feeds, and where they drew the line on PHI de-identification and access roles.

Evidence to listen for

  • Reasons about scale, latency, cost, and failure before writing code
  • Names the trade-off they chose and what they gave up
  • Understands the data lifecycle end to end
  • Anticipates what breaks at ten times the volume

Five-point scoring guide

1
Poor

No thinking beyond the immediate task; no awareness of scale or failure.

2
Needs Improvement

Limited architectural awareness; struggles with design decisions.

3
Satisfactory

Works within an existing design; makes sound local decisions.

4
Very Good

Designs for scale and maintainability; articulates trade-offs clearly.

5
Excellent

Explains latency, downtime and HIPAA minimum-necessary trade-offs behind a specific integration, including what broke and what they would build differently.

03
Evaluation factor

Evidence and rigour

25% weight

Assess how they validate clinical data: reconciliation counts against source systems, duplicate MRN detection, registry or quality measure numerators, and audit trails supporting eCQM or MIPS submissions.

Evidence to listen for

  • Validates results rather than trusting output
  • Knows how their work is measured and what a bad result looks like
  • Can describe a time their own analysis or model was wrong and how they caught it
  • Careful about data quality, leakage, and silent failure

Five-point scoring guide

1
Poor

Ships unvalidated work; no notion of how correctness is checked.

2
Needs Improvement

Validates superficially; misses obvious quality or leakage issues.

3
Satisfactory

Reasonable checks in place; rigour drops under time pressure.

4
Very Good

Validates thoroughly; can name a real error they caught in their own work.

5
Excellent

Cites measured error rates or reconciliation findings, describes validation queries used, and distinguishes a documentation artefact from a genuine clinical signal.

04
Evaluation factor

Collaboration and communication

15% weight

Look for evidence they sat with nurses, coders and revenue cycle staff, ran build sessions or go-live support, and translated clinician complaints into workable specifications.

Evidence to listen for

  • Explains technical work to non-technical stakeholders
  • Gives and takes code or peer review constructively
  • Documents enough that the work survives their absence
  • Aligns with team process rather than working around it

Five-point scoring guide

1
Poor

Cannot work in a team; resistant to feedback.

2
Needs Improvement

Communication issues create rework; lone-wolf tendencies.

3
Satisfactory

Adequate team member; documentation and review participation are light.

4
Very Good

Communicates well; reliable reviewer and collaborator.

5
Excellent

Describes named clinician stakeholders, workflow observation they did, and a spec or dashboard changed because of what frontline staff told them.

Evidence-led prompts

Interview questions for a Health Informatics Specialist

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    Can you describe a project where you successfully implemented a health IT solution?

  2. 02

    Can you describe your experience with electronic health record systems?

  3. 03

    Do you have any experience integrating different healthcare systems?

  4. 04

    Do you have experience in health information project management?

  5. 05

    What is your familiarity with clinical terminologies and code sets?

See the complete Health Informatics Specialist question set
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