Breast Cancer Screening
Our platform enhances early detection by integrating digital patient onboarding with risk stratification, AI-enabled workload prioritisation, and automated appointment scheduling. Through personalised educational content, electronic reminders, and seamless coordination with imaging centers, the platform optimises screening adherence and ensures rapid follow-up on abnormal results. This comprehensive approach reduces late-stage diagnoses, minimises treatment intensity, and ultimately improves patient outcomes while easing the burden on healthcare systems.
Click to learn more
Breast cancer is the most common cancer among women worldwide, with an estimated 2.3 million new cases diagnosed annually. While early detection through screening can substantially increase the 5‑year survival rate, 30–35% of eligible women in many regions do not undergo routine mammography. This gap in participation leads to delayed diagnoses, with more cancers detected at later, less treatable stages, resulting in more aggressive treatments, higher mortality rates and a greater burden on patients and health systems alike.
Impact
30-60%
Reduction in clinical workload
~30%
Decrease in the amount of diagnostic follow-ups
20%
Improvement in early cancer detection rates
Skin Cancer Screening
Our platform creates a proactive, integrated approach to early detection by transitioning patients through digital onboarding, automated risk assessments, and scheduling of skin examinations. The platform integrates with imaging providers capable of lesion analysis to evaluate skin anomalies, while automated reminders and clinician dashboards ensure timely referrals and follow-ups. This coordinated workflow enables rapid diagnostic workups, thereby reducing delays and optimising treatment outcomes.
Click to learn more
Skin cancer incidence is on the rise worldwide, with melanoma being a major contributor to cancer-related deaths despite high cure rates when detected early. However, there remains a gap in screening participation, with 30-40% of high-risk individuals not receiving regular skin examinations, leading to delays in diagnosis and more advanced disease stages. These factors impose a substantial clinical and economic burden on healthcare organisations, as later-stage treatments require more intensive and costly interventions.
Impact
73–87%
Time saved per mole review
~50%
Reduction in dermatology referrals
5x
Increase in patient screening capability
Lung Cancer Screening
Our platform streamlines lung cancer screening through a fully integrated digital workflow, from patient identification and onboarding to automated eligibility checks and LDCT scheduling. Risk stratification tools surface the highest risk patients based on clinical history, while educational content and electronic reminders improve uptake. Integration with radiology partners enables rapid image sharing, triage, and clinician feedback, ensuring prompt follow-up on findings and reducing delays in care.
Click to learn more
Lung cancer remains the leading cause of cancer-related deaths globally, often diagnosed at late stages due to low screening participation. Despite evidence that low-dose CT (LDCT) screening reduces mortality, fewer than 10% of eligible high-risk individuals undergo screening. This results in missed opportunities for early intervention, placing a significant clinical and economic burden on healthcare systems, as advanced-stage treatments are more invasive, costly, and resource-intensive.
Impact
~79%
Reduction in radiologist workload
3-5x
Increase in screening throughput
2x
Increase in patient follow-up adherence
Ophthalmology Referral
In this study, we deployed a secure, cloud‑based referral platform to seamlessly connect community optometrists with hospital ophthalmologists. Optometrists use the platform to capture structured patient histories, upload high‑resolution retinal imaging, and complete standardised referral forms, all in a single digital workflow. Ophthalmologists then review these submissions via a unified dashboard, enabling rapid virtual triage and specialist assessment without requiring an in‑person appointment. Our primary outcome was a measurable reduction in unnecessary specialist referrals, freeing up clinic capacity and ensuring that only patients who truly need face‑to‑face care are escalated.
Click to learn more
Hospital Eye Services across the UK are experiencing an increasing demand as advances in retinal imaging drive a surge in optometrist‑initiated referrals. Ophthalmology is one of the largest outpatient specialty in the NHS, managing roughly 7.6 million patient visits each year, and that figure continues to climb. Modern imaging modalities routinely uncover early, asymptomatic retinal disease such as diabetic retinopathy, age‑related macular degeneration and glaucoma, triggering specialist referrals that were previously unnecessary. As a result, hospital eye clinics face mounting pressure on capacity, longer waiting times for patients, and escalating costs for the health system, underscoring the urgent need for more efficient pathways and risk‑stratified care models.
Impact
52%
Reduction in number of referrals
12 minutes
For data input and review
14%
Increase in time to treatment for high urgent patients
Contact us for more information, private demonstration, or with any questions you may have.
Acknowledgement
Big Picture Medical acknowledges the Traditional Custodians of Country throughout Australia and their connections to land, sea and community. We pay our respect to their Elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
© 2024 All rights reserved