Clinical Efficacy

Measuring the real-world impact of genomic testing

Beyond diagnostic yield, the true value of exome and genome sequencing lies in measurable clinical outcomes: shortened diagnostic odysseys, targeted therapeutic interventions, informed reproductive planning, and improved patient understanding of their condition.

4
Measurement Domains
0
Efficacy Entries
16
Core Metrics

Clinical efficacy in genomic medicine extends beyond the laboratory result. A comprehensive assessment requires evaluation across multiple domains, from diagnostic yield and turnaround time to patient-centered outcomes and long-term clinical utility.

The SequenceMedicine efficacy framework organizes measurement into four complementary categories, each capturing a different dimension of clinical value.

Diagnostic Yield Across Organ Systems

Published yield ranges for genetic testing by organ system. Green bars indicate strong evidence; gray indicates emerging.

Genetic Testing vs. Other Diagnostic Modalities

Average diagnostic yield comparison across common approaches for undiagnosed rare disease patients.

Evidence Coverage

Distribution across 22 organ systems

Projected ROI Timeline

Modeled cost avoidance for a CarePathway pilot program

Strong-Evidence Systems Summary

Nine organ systems with robust peer-reviewed diagnostic yield data — the launch candidates for CarePathway implementation.

Organ System Yield Range ES/GS Indications Literature Evidence
Auditory/Hearing 39-67% 3 11 Strong
Cardiovascular 32-67% 4 11 Strong
Connective Tissue 17-18% 5 3 Strong
Craniofacial 15-84% 5 3 Strong
Developmental 27-41% 5 25 Strong
Endocrine 28-59% 3 14 Strong
Gastrointestinal 25-64% 6 5 Strong
Hepatic/Liver 25-60% 4 5 Strong
Immunologic 15-79% 4 16 Strong
Hematologic/Lymphatic 15-79% 6 13 Strong
Metabolic/Biochemical 88-90% 5 11 Strong
Musculoskeletal 50-89% 4 18 Strong
Nephrology/Renal 46-81% 5 11 Strong
Neurological 43-58% 5 28 Strong
NICU — Rapid Genomic Sequencing 34-59% 11 0 Strong
Ophthalmic 49-92% 5 7 Strong
PICU/CICU — Rapid Genomic Sequencing 31-59% 10 0 Strong
Pulmonary 47-80% 3 7 Strong
Skeletal 42-69% 4 15 Strong
Dermatologic 58-95% 3 8 Strong

Measurement Framework

Four domains of clinical efficacy assessment for genomic testing

Outcome Measures
Direct clinical impact metrics that capture the downstream effect of a genomic diagnosis on patient care and clinical trajectory.
  • Diagnostic yield — Proportion of tested patients receiving a molecular diagnosis
  • Time to diagnosis — Duration from clinical suspicion to definitive molecular result
  • Management change rate — Frequency of treatment modifications prompted by genomic findings
  • Diagnostic odyssey reduction — Decrease in unnecessary procedures and referrals after diagnosis
Process Measures
Operational and workflow metrics that reflect the efficiency and integration of genomic testing within clinical practice.
  • Test turnaround time — Duration from sample receipt to reported result
  • Clinical actionability rate — Proportion of results leading to specific clinical interventions
  • Cascade testing uptake — Rate of at-risk family members undergoing recommended testing
  • Pre-test counseling completion — Proportion receiving genetic counseling before testing
Quality Measures
Analytical and interpretive quality metrics that ensure the accuracy and clinical relevance of genomic test results.
  • Variant classification accuracy — Concordance with expert consensus and ClinVar assertions
  • Reanalysis yield — Additional diagnoses obtained through periodic data reinterpretation
  • VUS resolution rate — Proportion of variants of uncertain significance reclassified over time
  • Incidental finding management — Appropriate handling of ACMG secondary findings
Patient-Reported Measures
Patient-centered outcomes that capture the personal and psychosocial impact of genomic testing on individuals and families.
  • Patient satisfaction — Reported satisfaction with the testing and results disclosure process
  • Genomic understanding — Post-test comprehension of results and their implications
  • Psychosocial impact — Effect on anxiety, uncertainty, and family planning decisions
  • Decisional regret — Long-term patient assessment of the decision to undergo testing

Efficacy Data Preview

Illustrative examples of how efficacy data will be presented across measurement domains

Preview Format
Diagnostic Yield of Exome Sequencing in Pediatric Neurodevelopmental Disorders
Neurology / Neurodevelopmental
Outcome
Retrospective analysis of 500 consecutive pediatric patients referred for exome sequencing due to unexplained intellectual disability, developmental delay, or autism spectrum disorder. Assessed diagnostic yield, time to diagnosis, and subsequent management changes.
37%
Diagnostic yield
4.2 mo
Median time to Dx
53%
Management changed
6.1 yr
Odyssey reduced by
Rapid Genome Sequencing Turnaround in Critically Ill Neonates
Neonatology / Critical Care
Process
Implementation analysis of a rapid genome sequencing program in a level IV NICU, evaluating turnaround time, clinical actionability, and downstream cascade testing in families of diagnosed neonates.
72 hr
Median TAT
61%
Clinically actionable
78%
Cascade testing uptake
Systematic Reanalysis Yield in Previously Negative Exome Cases
Multi-system / Reanalysis
Quality
Systematic reanalysis of 1,200 initially non-diagnostic exome sequencing cases after a median interval of 24 months. Evaluated new diagnoses driven by updated gene-disease associations, improved variant classification, and expanded phenotype data.
12%
Reanalysis yield
18%
VUS reclassified
24 mo
Median reanalysis interval

Efficacy Data in Development

We are actively curating clinical efficacy data from published studies, institutional outcomes reports, and systematic reviews. Entries will be populated using the measurement framework described above, with each data point linked to its source literature and associated organ system indication.

Data Curation Methodology

Source Selection Peer-reviewed publications, institutional outcome registries, and multi-center collaborative datasets with documented methodology and adequate sample sizes.
Evidence Grading Each efficacy entry is assigned an evidence tier (strong, moderate, emerging) based on study design, sample size, and reproducibility consistent with the SequenceMedicine evidence framework.
Clinical Review All entries undergo clinical review to ensure that metrics are properly contextualized, potential confounders are noted, and applicability to current clinical practice is assessed.