An Objective tool to measure social disability, verbal ability, and nonverbal learning while assisting with autism diagnosis in children under 3.
In early childhood, accurate and timely diagnosis is critical for ensuring that children with Autism Spectrum Disorder (ASD) and developmental delays receive the right interventions at the right time. However, traditional diagnostic methods often rely on subjective observations and can miss key signs, leading to delayed intervention and poor long-term outcomes.1,5 EarliPoint™ Evaluation System is the only FDA-cleared, objective tool that helps ABA, occupational, and speech therapy centers accurately assess children as young as 16 months.2-4 By measuring social disability, verbal ability, and non-verbal cognitive abilities, EarliPoint™ provides reliable, data-driven insights that enable early, accurate diagnoses and can help with effective treatment planning.3-4
Don’t wait until school age to intervene—start early, avoid the risks of delayed diagnosis, and provide children with the support they need to thrive.5
Therapy centers are often left with incomplete or unclear diagnosis referrals, forcing you to conduct your own evaluation before developing a therapy plan. This can delay treatment and lead to inconsistent results. EarliPoint™ provides objective, baseline phenotyping data on a child’s social disability, verbal ability, and non-verbal learning skills, giving therapists the insights they need to create accurate, data-driven treatment plans from the start.3-4
When a child with Autism Spectrum Disorder (ASD) is referred to your therapy center, the lack of a clear phenotyping baseline can make it difficult to develop a targeted therapy plan right away. Without clear data on the child’s social disability, verbal ability, and non-verbal cognitive skills, you’re left with uncertainty, possibly extending the time it takes for the child to begin receiving effective intervention.
With EarliPoint™, the only FDA-cleared, objective tool to aid in early autism assessment in children as young as 16 months, you can access reliable baseline data that highlights key areas of concern. This true eye-tracking technology provides clear, quantifiable measurements, allowing you to quickly understand a child’s social engagement and communication abilities.3-4 Armed with this data, you can develop a personalized therapy plan that targets the child’s specific needs, improving both the efficiency and effectiveness of your therapy sessions.
Streamline Referrals:
EarliPoint™ ensures that no child falls through the cracks due to incomplete data, enabling you to move from diagnosis to treatment efficinetly.3-4 Stop spending time guessing about where to start – start with the data that makes all the difference.
EarliPoint™ is the only FDA-cleared tool designed to aid qualified clinicians in diagnosing ASD in children 16 months through 30 months, who are at risk based on concerns identified by a parent, caregiver, or healthcare provider.2-4 By using eye-tracking technology, EarliPoint™ provides objective measurements of social disability, verbal ability, and non-verbal learning skills, allowing therapists to make data-driven diagnoses that guide treatment planning.3-4 Relative to expert clinical diagnosis, in a double-blind study of 719 children aged 16 to 30 months, EarliPoint demonstrated an AUC diagnostic performance of 0.90 (1.0 is perfect). 3-4
The longer you wait to diagnose autism, the harder it becomes to achieve the best outcomes for children. With EarliPoint™ as your diagnostic aid, you can provide early, objective diagnoses. Early diagnosis can lead to better long-term results.1,2,3 Don’t risk the costs and emotional strain of delayed intervention-start using EarliPoint™ today and transform your therapy practice.
References
1. Jones, W., Klaiman, C., Richardson, S., Lambha, M., Reid, M., Hamner, T., Beacham, C., Lewis, P., Paredes, J., Edwards, L., Marrus, N., Constantino, J. N., Shultz, S., & Klin, A. (2023). Development and Replication of Objective Measurements of Social Visual Engagement to Aid in Early Diagnosis and Assessment of Autism. JAMA Network Open, 6(9), e2330145.
2. Yu Y, Ozonoff S, Miller M. Assessment of Autism Spectrum Disorder. Assessment. 2024 Jan;31(1):24-41. doi: 10.1177/10731911231173089. Epub 2023 May 29. PMID: 37248660; PMCID: PMC10676043. https://pmc.ncbi.nlm.nih.gov/articles/PMC10676043/
3. Jones W, Klaiman C, Richardson S, et al. Eye-Tracking–Based Measurement of Social Visual Engagement Compared With Expert Clinical Diagnosis of Autism. 2023;330(9):854–865. doi:10.1001/jama.2023.13295
4. FDA-cleared tool could assist in diagnosing autism. Contemporary Pediatrics. https://www.contemporarypediatrics.com/view/fda-cleared-tool-could-assist-in-diagnosing-autism
5. Zwaigenbaum L, Bauman ML, Stone WL, Yirmiya N, Estes A, Hansen RL, McPartland JC, Natowicz MR, Choueiri R, Fein D, Kasari C, Pierce K, Buie T, Carter A, Davis PA, Granpeesheh D, Mailloux Z, Newschaffer C, Robins D, Roley SS, Wagner S, Wetherby A. Early Identification of Autism Spectrum Disorder: Recommendations for Practice and Research. Pediatrics. 2015 Oct;136 Suppl 1(Suppl 1):S10-40. doi: 10.1542/peds.2014-3667C. PMID: 26430168; PMCID: PMC9923897. https://pmc.ncbi.nlm.nih.gov/articles/PMC9923897/
6. Tirkey SS, Verma RK, et. all, Investigating the Effectiveness of Early Intervention Services for Children with Developmental Delays. Int J Acad Med Pharm 2023; 5 (5); 156-160 https://academicmed.org/Uploads/Volume5Issue5/33.%20%5B1523.%20JAMP_JESUS%20The%20Master%5D%20156-160.pdf
7. Autism Speaks. Study finds autism early intervention highly effective. 2009 Nov 29. https://www.autismspeaks.org/science-news/early-intervention-toddlers-autism-highly-effective-study-finds
8. Randall M, Egberts KJ, Samtani A, Scholten RJPM, Hooft L, Livingstone N, Sterling-Levis K, Woolfenden S, Williams K. Diagnostic tests for autism spectrum disorder (ASD) in preschool children. Cochrane Database of Systematic Reviews 2018, Issue 7. Art. No.: CD009044. DOI: 10.1002/14651858.CD009044.pub2 https://pmc.ncbi.nlm.nih.gov/articles/PMC6513463/
9. Kalb LG, Singh V, Hong JS, Holingue C, Ludwig NN, Pfeiffer D, Reetzke R, Gross AL, Landa R. Analysis of Race and Sex Bias in the Autism Diagnostic Observation Schedule (ADOS-2). JAMA Netw Open. 2022 Apr 1;5(4):e229498. doi: 10.1001/jamanetworkopen.2022.9498. PMID: 35471566; PMCID: PMC9044110. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2791527