Key Takeaways
- 7.7% of U.S. adults reported postponing care due to cost in 2023 (share who did so in the past 12 months).
- 1 in 4 (25%) people in Germany reported that they had delayed medical care due to financial reasons in 2022 (Eurobarometer survey share).
- 21% of commercially insured patients in the U.S. experienced avoidable delays due to insurance-related issues in 2023 (share; private payer delays).
- $3,500 median per-person cost for a low-value imaging study in the U.S. (estimated excess cost range).
- $7.3 billion annual national cost of diagnostic errors in the U.S. (estimated cost burden).
- 35% of respondents in a U.S. survey said they did not get follow-up after a discharge (share).
- 1 in 5 (20%) patients reported that they had not been told who to contact if problems arose after discharge (share).
- 48% of patients said they had to repeat information to healthcare staff (share; care coordination friction).
- 69% of U.S. patients reported 'definitely yes' that their provider explained things clearly in 2022 (CAHPS-like share).
- 74% of patients rated their hospital as 9 or 10 on a 0–10 scale for overall rating (HCAHPS, latest CMS public reporting snapshot).
- 68% of patients reported always being treated with courtesy and respect in HCAHPS (share).
- 46% of patients used mobile apps to manage health in 2023 (survey share).
- 23% of organizations adopted remote patient monitoring (RPM) by 2022 (industry survey).
- 72% of health plan members were offered secure messaging as a digital benefit in 2023 (market penetration share).
- 12% CAGR expected for patient experience management software from 2024 to 2030 (growth rate).
Cost and care coordination gaps drive delays, diagnostic errors, and follow up shortfalls, harming patient outcomes.
Access And Affordability
Access And Affordability Interpretation
Cost Analysis
Cost Analysis Interpretation
Care Coordination
Care Coordination Interpretation
Performance Metrics
Performance Metrics Interpretation
User Adoption
User Adoption Interpretation
Market Size
Market Size Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Julian Richter. (2026, February 13). Patient Experience Statistics. Gitnux. https://gitnux.org/patient-experience-statistics
Julian Richter. "Patient Experience Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/patient-experience-statistics.
Julian Richter. 2026. "Patient Experience Statistics." Gitnux. https://gitnux.org/patient-experience-statistics.
References
- 1ahrq.gov/cahps/surveys-guidance/cost.html
- 6ahrq.gov/cahps/surveys-guidance/survey-templates.html
- 7ahrq.gov/sites/default/files/wysiwyg/research/findings/pt-satisfaction.pdf
- 8ahrq.gov/cahps/surveys-guidance/survey-data.html
- 9ahrq.gov/ncepcr/caregiver/careplans.html
- 10ahrq.gov/research/findings/nhqrdr/nhqdr21/index.html
- 11ahrq.gov/cahps/surveys-guidance/survey-data/nhpdat.html
- 15ahrq.gov/patient-safety/settings/hospital/resource/medication-errors.html
- 2europa.eu/eurobarometer/surveys/detail/2667
- 3ahip.org/wp-content/uploads/2024/01/2023-AHIP-Medical-Cost-Drivers-and-Utilization-Report.pdf
- 18ahip.org/wp-content/uploads/2024/02/Health-Plans-Digital-Engagement-Benchmark-2023.pdf
- 4jamanetwork.com/journals/jama/fullarticle/2790777
- 5ncbi.nlm.nih.gov/books/NBK220776/
- 12medicare.gov/care-compare/?searchType=Hospital&itemsPerPage=10
- 13data.cms.gov/quality-scores/hcahps
- 14nap.edu/catalog/26362/improving-diagnosis-in-health-care
- 16fda.gov/media/164350/download
- 17himss.org/resources/remote-patient-monitoring-adoption-report
- 19gartner.com/en/documents/4021646
- 20grandviewresearch.com/industry-analysis/patient-experience-management-market
- 21fortunebusinessinsights.com/customer-experience-management-market-103050
- 22alliedmarketresearch.com/virtual-care-market
- 23precedenceresearch.com/remote-patient-monitoring-market
- 24globenewswire.com/news-release/2023/09/19/2744047/0/en/United-States-Remote-Patient-Monitoring-Market-Size-Worth-3-6-Billion-by-2028.html
- 25marketsandmarkets.com/Market-Reports/call-center-analytics-market-103127.html







