{ "docId": "019dd923-5de0-76bd-a167-8c001a8e9ea1", "docSlug": "762886f3685037a2", "documentTitle": "Gen AI amplified", "authorId": "Accenture", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 16, "pageCount": 21, "prevPage": 15, "nextPage": 17, "slideType": "case_study", "function": "illustrate_case", "density": "balanced", "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text", "paragraph" ], "metadataConfidence": 0.9, "imagePath": null, "slideHref": "/slides/019dd923-5de0-76bd-a167-8c001a8e9ea1/16", "deckHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1", "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1.json", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1#slide-16", "components": [ { "bbox": null, "kind": "callout", "text": "A large medical center has built a robust ecosystem of partnerships to advance gen AI in healthcare, collaborating with technology providers, academia, government and industry to drive innovation.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd951-a672-7739-9cf0-c56c69a39240", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.485, "w": 0.365, "x": 0.096, "y": 0.186 }, "kind": "paragraph", "text": "Increasingly, external influencers are driving transformation across healthcare, helping shape standards and practices that promote innovative approaches. Healthcare providers partnering with academic institutions or leading researchers are already seeing tangible benefits. One such collaboration led to the development of advanced care protocols, resulting in reduced patient recovery times and higher satisfaction rates. This effort also attracted additional funding and support, accelerating innovation and establishing a robust framework for future advancements.\n\nBeyond external partnerships, healthcare organizations need to equip their workforce with new skills to maximize the potential of gen AI. Basic technology literacy is essential to help employees engage with AI tools effectively, while advanced skills — such as crafting precise prompts for LLMs — can significantly improve AI-generated results. Managers will need to evolve their roles to coordinate hybrid workflows, seamlessly integrating human and AI contributions while ensuring efficient task execution.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "1b7b6441-8152-4014-9811-2edf2228c1e9", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.485, "w": 0.375, "x": 0.506, "y": 0.251 }, "kind": "paragraph", "text": "A large medical center has built a robust ecosystem of partnerships to advance gen AI in healthcare, collaborating with technology providers, academia, government and industry to drive innovation. Through a strategic alliance with Google, the center leverages powerful computational infrastructure to develop and deploy gen AI models that enhance productivity and automate key administrative tasks such as scheduling, patient record-keeping and billing. Academic partnerships enable the center to integrate gen AI into biomedical research and clinical practice, accelerating discoveries and improving patient care. The center also collaborates with a specialized AI company to create multimodal LLMs that deliver faster, more accurate diagnoses and tailored treatment recommendations. Additionally, partnerships with biopharma’s allow the center to incorporate AI-driven tools into clinical trials and diagnostic development, improving patient outcomes and streamlining research efforts. This network of ecosystem partners provides the medical center with access to cutting-edge technology, streamlined operations and enhanced clinical effectiveness.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "8f8a1f38-efac-4183-be68-450a0ab67475", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.021, "w": 0.345, "x": 0.506, "y": 0.186 }, "kind": "title", "text": "A collaborative ecosystem for gen AI", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "3ccb51e2-0186-4631-a703-840ac6dba686", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [ { "name": "Inductive Reasoning", "slug": "inductive-reasoning", "agent": "Architect", "layer": "loop", "matchId": "019dd95a-0c44-723b-ae0c-366f82a33a10", "evidence": "Multiple proof points (case + tasks + leadership) → enterprise-scale conclusion", "confidence": 65 }, { "name": "Credibility Transfer", "slug": "credibility-transfer", "agent": "Storyteller", "layer": "slide", "matchId": "019dd95a-0c44-723b-ae0c-323bd02c4c59", "evidence": "Names Google strategic alliance and biopharma partners", "confidence": 70 }, { "name": "Sinatra Test", "slug": "sinatra-test", "agent": "Storyteller", "layer": "slide", "matchId": "019dd95a-0c44-723b-ae0c-2c5766a1ec44", "evidence": "Single flagship 'large medical center' case proves ecosystem model", "confidence": 80 } ], "frameworks": [], "arcBeats": [ { "to": 18, "from": 16, "beatId": "019dd95a-0680-7418-820b-5046304f01f4", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Medical-center case study, automation/augmentation analysis, leadership data", "position": 4, "confidence": 88, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" }, { "to": 19, "from": 16, "beatId": "019dd95a-0680-7418-820b-6216e356b267", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Action (Now What)", "beatSlug": "triple-take-the-action-now-what", "evidence": "Case study, augmentation tactics, 'time to act is now'", "position": 3, "confidence": 55, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "loops": [ { "to": 18, "from": 16, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-07fd-712f-b774-a68d8fb7e2ae", "evidence": "Medical-center ecosystem case study, 40% language-task analysis, clinical leadership data points", "position": 4, "objective": "Zoom from broad framework to concrete proof points and operational realities", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 65, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }