在医疗信息化步入深水区的当下，AI技术正重塑行业格局。作为深耕医疗信息化20年的专业厂商，星之湖（NovaLake）提出"一个AI中台+三类终端解决方案"的一体化AI医疗云战略，构成了其医疗AI发展的基本框架。以"紧耦合"路径突破AI落地难题，为行业提供了创新性解决方案。
AI中台是核心引擎，提供通用模型能力、医疗语义解析、知识图谱与模型训练等功能，而三类终端解决方案则覆盖不同客户场景：Nova H 面向单体医疗机构、Nova MC 面向医共体和集团医院、Nova G 面向政府与区域平台。这种架构设计打破传统"外挂式AI"模式，通过深度业务融合实现AI能力的原生整合。
面对当前医疗AI市场"松耦合"主导的现状，星之湖做出前瞻性战略判断。现有松耦合方案虽具备部署灵活、试点成本低的优势，但存在数据闭环不完整、模型迭代滞后等根本缺陷。我们预判，未来2-3年，市场将出现真正意义上覆盖全业务流程、深度融合业务系统的一体化AI医疗云平台。AI将不再是辅助工具，而将成为医疗信息系统的底层能力。
星之湖，正是以成为“第一个践行者”为目标，推进AI能力的端到端整合。在它的构想中，AI不仅参与病历书写、质控、随访，还将延伸至决策支持、运营优化、医疗安全等更广阔的场景，从“点的智能”走向“流程的智能”。
在行业普遍追求大模型基座建设的背景下，星之湖选择了一条差异化的"慢正确"道路。其战略核心在于：以AI中台为枢纽，推动医疗信息化系统从工具属性向平台属性进化。这种转型不仅需要技术积累，更要求对医疗业务流程的深刻洞察。尽管当前紧耦合路径尚未成为市场主流，但其在数据价值挖掘、系统协同效率方面的潜力，正在重塑医疗AI的价值评估体系。
As medical informatization enters deeper waters, AI technology is reshaping the landscape of the healthcare industry. With 20 years of expertise in healthcare IT, NovaLake has proposed an integrated AI-powered healthcare cloud strategy built upon a “central AI platform + three terminal-specific solutions” framework—offering an innovative and tightly coupled path for AI adoption in healthcare.
At the core lies the AI Platform, which serves as a central engine, enabling general model capabilities, medical semantic parsing, knowledge graph construction, and model training. The three terminal solutions address distinct user scenarios: Nova H for standalone healthcare institutions, Nova MC for medical consortia and hospital groups, and Nova G for governments and regional healthcare platforms. This architectural design moves beyond the traditional “plug-in AI” approach, achieving native integration of AI through deep business-process alignment.
In contrast to the dominant “loosely coupled” AI deployments in today’s market, NovaLake has taken a forward-looking strategic stance. While loosely coupled solutions offer ease of deployment and low pilot costs, they suffer from incomplete data loops and lagging model iteration. We anticipate that within the next 2–3 years, the market will see the emergence of truly integrated AI healthcare cloud platforms that span the entire business process. AI will no longer be an auxiliary tool—it will become a foundational capability embedded in healthcare information systems.
NovaLake is committed to becoming the first true practitioner of end-to-end AI integration. In our vision, AI will not only support clinical documentation, quality control, and patient follow-up, but also expand to decision support, operational optimization, and medical safety—evolving from “intelligence at a point” to “intelligence throughout the process.”
While the industry is largely focused on building foundational large models, NovaLake is pursuing a differentiated and deliberate path: the “slow but right” approach. The core of this strategy is to drive the evolution of healthcare information systems from standalone tools to unified platforms, with the AI platform acting as the strategic hub. This transformation requires not only technological accumulation, but also deep insight into healthcare workflows. Though tightly coupled AI integration has yet to become the mainstream model, its potential to unlock data value and enhance system collaboration is redefining how we assess the value of AI in healthcare.
