New survey of 200+ healthcare leaders, finds interoperability maturity continues to lag AI ambition\u00a0<\/p>\n
Rhapsody, a global leader in digital health enablement and interoperability, today released its\u00a0State of Interoperability Report,\u00a0revealing a persistent gap between healthcare\u2019s investment in interoperability and its ability to translate that progress into operational impact and AI readiness.\u00a0<\/p>\n
According to the research, 76% of healthcare leaders say interoperability is now a top strategic priority, yet execution\u00a0remains\u00a0uneven.\u00a0Nearly one\u00a0in four organizations spend more than 20 hours per\u00a0week\u00a0troubleshooting integration issues,\u00a0highlighting how fragmented systems and resource constraints continue to limit progress.\u00a0<\/p>\n
The study,\u00a0based on a survey of more than 200 hospital executives, IT leaders, and data decision-makers, found that staffing shortages and vendor dependency remain the most significant barriers to interoperability maturity. At the same time, momentum is building, with 61% of respondents planning to connect more external systems in the next year, and 44% prioritizing APIs and interfaces for FHIR, HL7v2, and cloud migration, signaling a growing focus on scalable infrastructure.\u00a0\u00a0<\/p>\n
\u201cInteroperability is no longer just an IT initiative.\u00a0It\u2019s\u00a0a leadership imperative to enable their organization to adapt\u00a0to\u00a0emerging AI\u00a0trends,\u201d\u00a0said Sagnik Bhattacharya, CEO of Rhapsody. \u201cWhat our research makes clear is that AI progress\u00a0isn\u2019t\u00a0driven by who spends the most, but by who removes the most friction. Organizations that invest in trusted connectivity and offload burden are\u00a0best\u00a0positioned to scale AI safely across clinical and operational workflows.\u201d\u00a0<\/p>\n
Key findings from Rhapsody\u2019s survey include:\u00a0<\/p>\n
76% of healthcare leaders report interoperability a top strategic priority\u00a0<\/p>\n
58% cite staffing or vendor limitations as their biggest barrier\u00a0<\/p>\n
61% plan to connect more external systems in the next year\u00a0<\/p>\n
44% are prioritizing APIs and interfaces for FHIR, HL7v2 and cloud migration\u00a0<\/p>\n
23% spend over 20 hours per week troubleshooting integration issues\u00a0<\/p>\n
The report also introduces \u2018Rhapsody Digital\u00a0Infrastructure\u00a0Maturity Model,\u2019\u00a0a four-stage framework designed to help healthcare organizations assess interoperability maturity and readiness to scale AI responsibly.\u00a0<\/p>\n
\u201cInteroperability\u00a0is more than\u00a0a technical milestone; it\u2019s a maturity milestone,\u201d said\u00a0Jitin\u00a0Asnaani, Chief Product Officer at Rhapsody. \u201cBecoming AI-ready requires trusted data, scalable infrastructure, and leadership alignment. This report gives organizations\u00a0a clear way\u00a0to understand where they are today and\u00a0pragmatic steps\u00a0to move forward with confidence.\u201d\u00a0<\/p>\n
The State of Interoperability Report is\u00a0now available. Rhapsody will further explore the findings and their implications for AI readiness at the\u00a0ViVE\u00a02026 conference in Los Angeles, February 22\u201325, 2026, at\u00a0booth #823.\u00a0The post Interoperability Isn\u2019t AI-Ready Yet, Despite Heavy Investment, Rhapsody Finds first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
New survey of 200+ healthcare leaders, finds interoperability maturity continues to lag AI ambition\u00a0 Rhapsody, a global leader in digital health enablement and interoperability, today released its\u00a0State of Interoperability Report,\u00a0revealing a persistent gap between healthcare\u2019s investment in interoperability and its ability to translate that progress into operational impact and AI…<\/p>\n
The post Interoperability Isn\u2019t AI-Ready Yet, Despite Heavy Investment, Rhapsody Finds<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-1487","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n