Cost of Inaction
Chronic diseases, late diagnoses, and avoidable hospitalizations degrade patient quality of life and increase premature mortality while generating escalating costs and compounding financial exposure annually.
Impact & Value
Value Creation
Prevention offers the highest return on investment in healthcare and risk underwriting.
Clinical Capacity Preservation
Early intervention reduces complexity, preserves care capacity, reduces loss ratios, and extends premium-paying policyholder life expectancy.
Operational Capability
Health Compass establishes prevention as an operational, measurable capability for public health bodies and commercial carriers.
Real-World Deployment
Health Compass has been deployed and validated in a real-world cohort of 1,682 patients in Israel, spanning all age-gender groups from 10 to 99 years old.
Distribution Validation
The distribution of health risk factors proved to be "as expected," confirming the cohort's data quality against known clinical patterns.
Personalization Check
Personalized recommendations are not uniform across age-gender groups — a heatmap analysis of recommendations per group showed most patterns are not grouped by age or gender alone, confirming that additional personalized information genuinely drives each recommendation.
Statistical Validation
A Jaccard similarity analysis (95% confidence interval) tested whether patients within the same age-gender group received similar recommendations. Result: similarities within groups were not significantly different from what random chance would predict ("ns" - not significant),confirming recommendations are genuinely individualized rather than templated by demographic group.
Meet GeorgeCOLORECTAL CANCER · Illustrative scenarioRead moreShow less
George, aged 45, sought help for recurring stomach pains. After consulting his family doctor, he underwent a series of tests, including a colonoscopy. The colonoscopy revealed a cancerous polyp.
How could earlier prevention change the pathway?
George eats a diet high in red and processed meats and low in fiber and vegetables, has excess weight, smokes, and is rarely physically active. He visited his family doctor infrequently and had never undergone screening tests.
The Health Compass would have evaluated these risk factors and prompted screening for early detection of colon cancer.
Physician-guided recommendations
- Periodic screening for colon cancer
- Immediate diagnostic tests: fecal occult blood test and colonoscopy
- Referral to gastroenterology
Meet GailLUNG CANCER · Illustrative scenarioRead moreShow less
Gail, aged 57, had weight loss and a mild cough. After multiple consultations, her family doctor referred her for a chest X-ray, and further investigation led to a biopsy. Results showed an advanced-stage lung tumor.
How could earlier prevention change the pathway?
Gail lives in a large city and, in her younger years, worked about 8 years in a tile factory in a nearby industrial zone, where she was exposed to asbestos. Although she never smoked and had no family history of cancer, she raised health concerns at multiple visits. Neither she nor her doctor gave enough weight to her past occupational exposure.
The Health Compass would have captured her workplace exposure and the factory's location, evaluated the associated risk factors, and flagged them to her family doctor, enabling an early lung cancer screening program.
Physician-guided recommendations
- CT scan and subsequent referral
- Ongoing monitoring by a pulmonary medicine specialist
Meet WilliamCARDIOVASCULAR DISEASE · Illustrative scenarioRead moreShow less
William, aged 52, had intermittent chest tightness and shortness of breath on exertion. After a family doctor consultation and referral for an exercise stress ECG, he was urgently admitted with acute myocardial infarction. Angiography showed a 75% stenosis in the left anterior descending artery, treated with a stent.
How could earlier prevention change the pathway?
William has a family history of heart disease, long-standing hypertension, elevated cholesterol, and a sedentary lifestyle. He smokes half a pack of cigarettes daily, eats a diet high in saturated fats, and rarely tracks his blood pressure or lipid levels. He saw his physician only when symptoms became severe, so no preventive cardiovascular screening was performed.
The Health Compass would have evaluated these risk factors and prompted early cardiovascular screening and lifestyle interventions.
Physician-guided recommendations
- Cardiovascular screening: clinic blood pressure and fasting lipid profile, plus home BP monitoring
- Advanced diagnostic imaging
- Early cardiology referral to evaluate and start statin plus antihypertensive therapy
- Personalized lifestyle program
Meet AnnaDIABETES · Illustrative scenarioRead moreShow less
Anna, aged 32, consulted her family doctor about excessive thirst, frequent urination, and unexplained fatigue. Blood tests (fasting plasma glucose 160 mg/dL, HbA1c 9.2%) confirmed a new diagnosis of type 2 diabetes.
How could earlier prevention change the pathway?
Anna has a strong family history of diabetes (both parents), a sedentary office job, and a diet rich in refined carbohydrates and sugary beverages. She is overweight (BMI 29 kg/m²) and rarely checks her blood glucose or exercises. She sought care only when symptoms disrupted her daily life, so pre-diabetes went undetected and no preventive counseling was offered.
The Health Compass would have evaluated these risk factors and prompted early lifestyle interventions and diabetes screening well before symptom onset.
Physician-guided recommendations
- Biannual glycemic monitoring from age 30, plus home glucose tracking
- Early ophthalmology referral for retinopathy, annual kidney-function panel, and yearly diabetic foot exam
- Nutrition and activity plan
Meet DanielMENTAL HEALTH · Illustrative scenarioRead moreShow less
Daniel, aged 34, felt persistently exhausted and withdrawn for several months, attributing it to work pressure. He saw his family doctor twice for physical complaints, recurring headaches and poor sleep, without mentioning his mood. After a sudden change in behavior, he was taken to an emergency department during an acute mental health crisis and diagnosed with major depressive disorder with anxious features, requiring inpatient psychiatric care.
How could earlier prevention change the pathway?
Daniel has a family history of depression, had recently divorced, and had increased his alcohol intake over six months. He had withdrawn socially and reported disrupted sleep at both visits, but these were treated as isolated physical symptoms. No behavioral health screening was conducted.
The Health Compass would have evaluated these risk factors and prompted validated mental health screening and early referral well before the crisis.
Physician-guided recommendations
- Routine behavioral health screening using a validated depression and anxiety assessment
- Referral to a mental health specialist for evaluation and a coordinated care and safety plan
- Structured follow-up monitoring with his primary care physician
Meet MariaMATERNAL HEALTH · Illustrative scenarioRead moreShow less
Maria, aged 29, was in her first pregnancy and attended routine prenatal visits. In her third trimester she developed headaches and mild swelling in her hands and feet, which she and her midwife attributed to normal pregnancy discomfort. At 34 weeks she was admitted with severely elevated blood pressure and urinary protein, diagnosed with severe preeclampsia, and required emergency delivery.
How could earlier prevention change the pathway?
Maria had a family history of hypertensive disorders in pregnancy, was carrying her first child, and had a pre-pregnancy BMI in the overweight range, all recognized risk factors for preeclampsia. Her blood pressure had trended upward across her last two prenatal visits, but not enough to prompt closer monitoring or specialist referral.
The Health Compass would have evaluated these risk factors and prompted closer blood pressure monitoring and earlier specialist referral well before symptoms became severe.
Physician-guided recommendations
- Enhanced antenatal risk stratification based on family history, first pregnancy, and pre-pregnancy weight
- More frequent blood pressure and urine protein monitoring
- Early referral to maternal-fetal medicine for specialist evaluation and preventive measures
For Public Health Systems
Managing healthcare systems requires smart prioritization amid escalating medical expenditures and regional health disparities, directing resources where preventive impact is highest across regional networks and risk pools. The Health Compass enables central system oversight with localized adaptation, allowing administrators to transition from uniform policies to intelligent population management. By optimizing resource distribution across health networks, the platform delivers operational efficiency and potential multi-billion-dollar cost savings—safeguarding public healthcare budgets through data-driven policy administration while maximizing return on investment through human capital preservation.
For Health Insurance Carriers
Designed for flexible deployment, The Health Compass operates standalone or connects directly into existing electronic health record infrastructure across commercial health insurance plan structures and managed care networks. Primary healthcare providers easily deploy periodic health questionnaires and leverage platform insights to generate tailored recommendations, catalyzing administrative workflow automation. By eliminating unnecessary primary care visits and redundant testing, The Health Compass delivers substantial operational cost savings for health insurance carriers.
For Life Insurance Providers
For life insurance providers, The Health Compass drives disease prevention and early detection, generating tailored treatment plans that slow chronic condition progression and enhance underwriting accuracy. Extending policyholder life expectancy expands premium-paying periods and increases lifetime policy value while postponing mortality claims payouts. This reduction in early death claims directly optimizes carrier loss ratios, enhances profitability, and deepens long-term policyholder brand trust.
For Individuals
Early health guidance, clear visibility into pre-disease and early-disease markers, and personalized care pathways — putting people at the center of their own prevention.
For Physicians
Structured intelligence delivered at the point of care, actionable referral tools, and enhanced decision confidence — transforming healthcare management into a proactive, transparent, trusted experience.
Modeled projection
United States
38.1M adults diagnosed with diabetes (2021, IDF)
50% currently achieve glycemic control
$13,000 vs $8,700 annual cost, uncontrolled vs. controlled
Up to $33B potential annual savings (23% cost reduction,) as The Health Compass helps raise glycemic control to 70% within 5-10 years
Modeled projection
Greece
736,100 adults diagnosed with diabetes (2021, IDF)
53% currently achieve glycemic control
€7,783 vs €6,366 annual cost, uncontrolled vs. controlled
Up to €200M potential annual savings (4% cost reduction,) as The Health Compass helps raise glycemic control to 70% within 5–10 years
Modeled projection
State of Bihar, India
4.1M adults diagnosed with diabetes (estimated, 2025)
36% currently achieve glycemic control
$477 vs $179 annual cost, uncontrolled vs. controlled
Up to $230M potential annual savings (15% cost reduction,) as The Health Compass helps raise glycemic control to 55% within 5–10 years
Modeled projection
Brazil
12.4M adults diagnosed with diabetes (estimated, 2024)
~50% currently achieve glycemic control
$1,250–$1,500 savings per patient/year transitioned to glycemic control
Up to $3.1–3.7B potential annual savings (7-8% cost reduction,) as The Health Compass helps raise glycemic control to 70% within 5–10 years
Modeled projection
Japan
11M adults with strongly suspected diabetes (estimated, 2024)
~45% currently achieve glycemic control
¥1.2T + ¥3.5–4.5T direct + indirect annual burden (FY2022)
~2.75M more patients could reach glycemic control as The Health Compass helps raise control rates to 70% within 5–10 years, reducing complication-related hospitalizations and dialysis progression, and generating substantial savings per patient