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Limitations in Today’s Autism Diagnostic Pathway
Early diagnosis and intervention present a unique opportunity for children with autism spectrum disorder (ASD) to achieve improved outcomes. But for the last 20 years, the average age of diagnosis has remained unchanged at 4 years and 2 months, an average delay of 3 years between parental concern and a formal ASD diagnosis.4-7
Delays can result in missed opportunities during a critical window in the child’s neuro-development.1
Developmental Screening Timeline
- AAP recommended ASD screenings
- General developmental screenings
- Developmental concerns reported by parents
- Average age of formal ASD diagnosis
- AAP recommended ASD screenings
- General developmental screenings
- Developmental concerns reported by parents
- Average age of formal ASD diagnosis
Introducing ASD-specific interventions earlier has the potential to substantially improve outcomes when compared to children not receiving the same level of intervention, helping to achieve:
-
2x cognitive developmental gains
-
Significantly higher IQ2,3
A formal ASD diagnosis (educational and/or clinical) is required to access most ASD-specific interventions. This can be especially burdensome for families who do not live near specialists or cannot take the necessary time from work or other activities.8,9
Access to ASD diagnosis and intervention is highly dependent on:
Race or ethnicity
Socioeconomic status
Geographic region
Access to specialists
ASD Diagnostic Pathway
A shortage of specialists and time-intensive evaluations result in long wait times for diagnostic appointments, causing substantial delays in diagnosis. Evaluations are time-consuming, there may be a long screening process prior to scheduling appointments, in-person tests can take up to 3 hours, and multiple visits may be required.8,14,15
Currently, primary care physicians (PCPs) are typically the first to screen children for developmental delays and refer those with suspected delays to specialists for diagnosis and prescribed intervention, including:

- • Developmental and behavioral pediatricians
- • Child psychologists
- • Pediatric neurologists
- • Child and adolescent psychiatrists
- • Neuropsychologists
Additionally, social distancing guidelines and restrictions due to the COVID-19 pandemic have highlighted the need for remote assessment and management of children suspected to have ASD.5,16,17
Because the current diagnostic process can be so different for so many, barriers such as socioeconomics, geography, and demographics will need to be overcome. These barriers can limit patient and caregiver access to behavioral specialists and ASD-specific resources.5,16,17-28
- African American children are
19% less likely
to receive an autism diagnosis than white children19-21 - Non-white Hispanic children are
65% less likely
to receive an autism diagnosis than white children27
In one study, up to 25% of the children under 8 years old did not receive a diagnosis (the majority Black or Latino) and, on average, autism was diagnosed in girls 1 1⁄2 years later than boys
Early Signs and Symptoms
- • Reduced sharing of interests or emotions
- • Restricted and repetitive behavior
- ○ Stereotyped or repetitive speech, motor movements, user of objects
- ○ Excessive adherence to routines, rituals, resistance to change
- ○ Highly restricted, fixated interests, abnormal in intensity or focus
- ○ Hyper- or hypo-reactivity to sensory input or unusual sensory interest
- ○ Repetitive behaviors (e.g., hand flapping, hand wringing, bruxism, etc.)
- • Challenges understanding social cues (e.g., eye contact, facial expressions)
- • Having significant need for predictable routine8,9,29-31
1 in 44
prevalence of ASD in US children aged 8 years or under
How AI Technology Can Help
Improvements in autism assessment tools may help improve access to treatment while reducing disparities in autism diagnosis. Emerging technological approaches hold promise to enable earlier identification and diagnosis of ASD. These technologies include:
- • Computer vision
- • Biometrics and biomarkers
- • Advanced imaging
- • Artificial intelligence (AI)5,32-42
AI uses pattern recognition to uncover clinically meaningful relationships that exist between signs, symptoms, and behaviors.43-52
Machine learning, a form of AI, is a system which uses input data to generate informed predictions. Within the field of medical diagnostics, AI has been implemented to create programs that assist in several specialties (eg, radiology, pathology, ophthalmology, cardiology).53-59
Radiology
Pathology
Ophthalmology
Cardiology
Learn more about how technology can help in the diagnosis of autism
Next Steps After Diagnosis
Early intervention within the neurodevelopmental window can yield significant improvements in behavioral, social, emotional, and cognitive functioning among individuals living with ASD.1
Early ASD intervention, particularly before the age of 4, can positively impact the development of a child with ASD. With early intervention, children can benefit from twice the cognitive developmental gains and a significantly higher IQ than children who do not receive the same level of intervention.2,3,6



Currently, primary care physicians are the first to screen children for developmental delays and refer those with suspected delays to specialists for diagnosis and prescribed intervention. Talk with your doctor for more information.5,16
Stay Informed
We’ll be adding additional articles and content on these topics.
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Issues_and_Advocacy/Key_Issues/Graduate_Medical_Education/Fact_Sheets/Pediatric_Specialist_Physician_Shortages_Affect_Access_to_Care08012012.pdf 21. The American Board of Pediatrics. U.S. map of subspecialists by state. Accessed May 12, 2021. https://www.abp.org/content/us-map-subspecialists-state 22. Durkin MS, et al. Am J Public Health. 2017;107(11):1818-1826. 23. Baio J, et al. MMWR Surveill Summ. 2018;67(6):1-23. 24. Beggiato A, et al. Autism Res. 2016;10:680-689. 25. Bishop-Fitzpatrick L, Kind AJH. J Autism Dev Disord. 2017 Nov;47(11):3380-3391. 26. Antezana L, et al. Frontiers in Psychology. 2017;8:590. doi:10.3389/fpsyg.2017. 27. Wiggins LD, et al. Autism Res. 2020;13:464-473. 28. Constantino JN, et al. Pediatrics. 2020;146(3):e20193629. 29. Hutsler JJ, Zhang H. Brain Res. 2010;1309:83-94. 30. Sullivan K, et al. Res Dev Disabil. 2014;35(11):2921-2932. 31. Holiga Š, et al. Sci Transl Med. 2019;11(481):eaat9223. 32. Frye RE, et al. Ann Transl Med. 2019;7(23):792. 33. Braunschweig D, et al. J Autism Dev Disord. 2012;42(7):1435-1445. 34. Braunschweig D, et al. Transl Psychiatry. 2013;3:e277. 35. Hazlett HC, et al. Nature. 2017;542(16):348-351. 36. James SJ, et al. Am J Med Genet B Neuropsychiatr Genet. 2006;141B(8):947-956. 37. Kang E, et al. Biol Psychiatry Cogn Neurosci Neuroimaging. 2017;3(8):657-666. 38. Goldani AA, et al. Front Psychiatry. 2014;5:100. 39. Nazneen N, et al. JMIR Mhealth Uhealth. 2015;3(2):e68. 40. Smith CJ, et al. Psychol Assess. 2017;29(3):245-252. 41. Georgescu AL, et al. Front Robot AI. 2019;6:132. 42. Abbas H, et al. Sci Rep. 2020;10:5014. 43. Dias R, et al. Genome Med. 2019;11(1):70. 44. Nichols JA, et al. Biophys Rev. 2019;11(1):111-118. 45. Shah NH, et al. JAMA. 2019;322(14):1351-1352. 46. Meskó B, et al. NPJ Digit Med. 2020;3:126. 47. Liu T, et al. BMC Gastroenterol. 2021;21(1):160. 48. Matheny ME, et al. JAMA. 2020;323(6):509-510. 49. Rivera SC, et al. BMJ. 2020;370:m3210. 50. Moher D, et al. PLoS Med. 2010;7(2):e1000217. 51. Liu X, et al. BMJ. 2020;370:m3164. 52. Wynants L, et al. BMJ. 2020;370:m3505. 53. Chang Y, et al. Med Phys. 2016;43(1):554-567. 54. Reza Soroushmehr SM, et al. J Med Syst. 2015;39(9):87. 55. Ciompi F, et al. Sci Rep. 2017;7:46479. 56. Esteva A, et al. Nature. 2017;542(7639):115-118. 57. Brinker TJ, et al. Eur J Cancer. 2019;113:47-54. 58. Abramoff MD, et al. Invest Ophthalmol Vis Sci. 2016;57(13):5200-5206. 59. Gargeya R, Leng T. Ophthalmology. 2017;124(7):962-969. 60. MacDonald R, et al. Res Dev Disabil. 2014;35(12):3632-3644. 61. Cidav Z. J Am Acad Child Adolesc Psychiatry. 2017;56(9):777-783.
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11 Children’s Hospital Association. https://www.childrenshospitals.org/-/media/Files/CHA/Main/Issues_and_Advocacy/Key_Issues/Graduate_Medical_Education/Fact_Sheets/CHGME_Workforce_Shortage_Fact_Sheet.pdf. Accessed February 12, 2021.
12 Gordon-Lipkin E et al. Pediatr Clin North Am. 2016;63(5):851–859.
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21 Children’s Hospital Association. https://www.childrenshospitals.org/-/media/Files/CHA/Main/Issues_and_Advocacy/ Key_Issues/Graduate_Medical_Education/Fact_Sheets/Pediatric_Specialist_Physician_Shortages_Affect_Access_to_Care08012012.pdf. Accessed February 12, 2021.
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