里贝拉利用人工智能技术为患者和医生提供帮助。
内容总结：
面对全球医疗资源紧张、人口老龄化及慢性病负担加剧的普遍挑战，西班牙私立医疗集团Ribera通过人工智能技术推动医疗系统转型，取得显著成效。该集团旗下16家医院和74家医疗中心年服务患者超200万，其首席转型官曼努埃尔·博世·阿科斯表示，集团以数据和技术为核心，通过政府合作模式创新，实现医疗质量与效率的双重提升。
Ribera开发的数字化平台"Cynara Citizen"集预约挂号、远程问诊、电子病历等服务于一体，并依托微软技术构建多层功能架构。该平台特别针对慢性病患者推出个性化健康管理方案，通过实时监测血糖等关键指标，主动干预健康风险。数据显示，参与该项目的重症慢性病患者急诊就诊率下降23%，30天内再入院率降低18%。
此外，Ribera四年来持续投资人工智能技术，重点聚焦数据分类、深度分析和风险预测三大领域。其开发的AI模型可精准识别压疮高风险患者和跌倒风险人群，并通过生成式AI技术自动生成常规手术出院报告，减轻医务人员行政负担。集团强调所有数据均经匿名化处理，并与微软合作确保数据安全及AI应用符合伦理法律规范。
博世将AI技术比作出租车司机的导航系统——医生始终掌握决策权，而技术帮助提升效率。在医疗需求持续增长的背景下，Ribera通过科技赋能，以同等资源为患者提供更高效、更优质的医疗服务。
中文翻译：
里贝拉集团运用人工智能技术助力患者与医生
全球几乎所有国家的医疗系统都面临多重压力。随着人口老龄化和慢性病患病率上升，医疗需求持续增长，但医护人员的数量却无法满足需求。预算紧缩、医护人员超负荷工作已成为常态。
"西班牙同样面临这些普遍性挑战，"里贝拉集团转型总监曼努埃尔·博世·阿科斯表示。这家私营医疗运营商在西班牙、葡萄牙及中欧地区拥有16家医院和74个医疗中心，年均服务患者超200万人次。为应对日益增长的服务需求与控制成本，里贝拉正依托数据与技术革新医疗体系。
"技术是本企业的核心优势，"博世强调，"我们并非传统医疗机构。与政府签订的医疗服务合同以质量为导向，这赋予我们创新空间。必须依靠扎实的数据支撑，才能确保医疗实践真正惠及患者、企业乃至整个医疗系统。"
里贝拉将技术数据视为医疗变革的核心驱动力。"我们正在重新定义数据应用模式，实时重构个性化医疗方案，"他补充道。
（插图说明：里贝拉集团转型总监曼努埃尔·博世·阿科斯，由米格尔·维兹卡伊诺为微软拍摄）
慢性病患者群体虽占比不大，却消耗了大量医疗资源，其中多数人同时罹患多种疾病。改善这类患者的健康状况既能提升医疗系统效能，又能切实提高其生活质量。
里贝拉旗下科技公司Futurs开发的Cynara公民门户平台，不仅具备常规医院门户功能（预约挂号、化验单上传、在线咨询及通过Microsoft Teams进行远程会诊），更创新性地采用中心化管理模式——整合每位患者的医疗团队，共同制定个性化数字健康方案并实施全程监测。
Cynara技术体系的多层架构
"Cynara"取名自洋蓟属植物，这种在阿利坎特南部备受推崇的蔬菜，恰如其分地象征了该平台多层叠加的功能模块。"就像洋蓟的花瓣层层相叠，"博世解释道。里贝拉对微软工具的运用同样呈现层级化特征：采用Dynamics 365客户服务中心、OpenAI生成式AI模型、Azure机器学习工具（非生成式AI场景）、Microsoft Fabric、Dynamics Business Central以及Microsoft 365 Copilot。
通过Cynara公民平台，医护人员可实时追踪患者健康指标（尤其慢性病患者），及时干预病情变化而无须等待下次预约。某些慢性病患者往往延误治疗直至病情恶化不得不挂急诊，现在医生能远程监测关键指标并主动指导患者规避健康风险。
"应用与临床结果已实现数据联动，"博世表示，"患者血糖控制效果提升，急诊就诊频率显著下降。"据集团数据，参与Cynara公民健康管理项目的三级慢性病患者（病情最复杂群体），相比项目启动前同期，急诊就诊量减少23%，30天内再入院率降低18%。这些患者接受技术增强型临床管理已逾12个月，集团通过对比项目参与前后的服务使用数据得出该结论。
更广泛而言，基于微软技术构建的Cynara公民平台能有效填补护理空白，助力患者遵循健康计划，减少急诊需求。例如当系统实时监测到糖尿病患者血糖骤降时，医护人员可立即致电指导干预，避免患者陷入需呼叫救护车或昏迷的危险境地。博世指出，由于患者清楚知悉医疗团队成员并能随时留言沟通（不仅限于预约），他们对医疗服务的获得感与可及性显著提升。该应用依托微软Azure云平台，支持全球多地安全便捷访问。
里贝拉对AI的主动投入
"优势在于能收集更全面的信息——不仅是5个指标，可能是30个。通过捕捉难以手动获取的实验室变量，实现过去不可能完成的监测。"里贝拉质量总监兼Futurs产品经理米雷娅·拉迪奥斯·马丁表示。
（插图说明：里贝拉质量总监兼Futurs产品经理米雷娅·拉迪奥斯·马丁，由米格尔·维兹卡伊诺为微软拍摄）
Cynara公民平台仅是技术应用的缩影。四年来，里贝拉持续投入AI研发，聚焦三大目标：数据分类、深度洞察与预测预警。通过机器学习实现信息归类，帮助医患更准确掌握病情（如识别高再入院风险特征以便调整治疗方案）。例如利用Azure机器学习开发的压力性损伤风险预测模型，有效解决了医院常见难题；另一模型则可预测患者跌倒风险。
"AI工具与传统风险评估量表形成互补，"马丁强调。以术后感染监测为例：医师团队会复查所有手术患者30天或60天后的感染情况，通过数据挖掘锁定所有感染相关要素，最终生成每位患者的风险评分，对高分患者实施重点监控。
在生成式AI领域，里贝拉正推进多个减轻医生文书负担的项目。例如为白内障手术等常规操作自动生成出院文件，将医生从行政工作中解放出来，更专注于临床诊疗。
集团严格执行数据匿名化处理，并与微软合作确保数据安全及AI应用的伦理合法性。"我们必须审慎处理患者隐私问题，严格规范信息传输的内容、路径与方式，"博世表示。里贝拉还会持续评估AI在企业与医疗场景中的应用逻辑，确保符合伦理规范与法律法规。
博世将AI比作出租车司机的导航系统：驾驶员（即医生）始终掌握决策权，而技术的作用是提升效率、减轻负荷。
"现有系统已无法满足日益增长的需求，"博世总结道，"我们必须用同等资源实现更优质的服务。关键在于提升效能，创造更大价值。"
英文来源：
Ribera uses AI technology to help patients and doctors
Healthcare is squeezed on all sides, in nearly every country. The number of new doctors and nurses isn’t keeping up with the greater demand for healthcare that comes with an aging population that has more chronic diseases. Budgets are tight. Healthcare professionals are overworked.
“In Spain, we have the same problems as everywhere,” says Manuel Bosch Arcos, chief transformation officer of Ribera, a private healthcare operator of 16 hospitals and 74 medical centers in Spain, Portugal and Central Europe, serving more than two million patients a year. To deal with higher demand and the costs that go with it, Ribera is counting on data and technology to help improve healthcare systems for their patients.
“A key part of the company is technology,” Bosch says. “We are not a traditional healthcare company. We have contracts with the government based on the quality of care, so we can be more innovative. We need strong data to ensure that what we do is good for patients, the company and the healthcare system.”
Ribera sees technology and data as the way to transform the healthcare system. “What we are doing is rethinking data and rethinking the way healthcare could be tailored – and doing that in real time,” he says.
Manuel Bosch Arcos, chief transformation officer of Ribera. Photo by Miguel Vizcaíno for Microsoft.
A small percentage of patients accounts for a large portion of healthcare spending because they have chronic conditions, usually several simultaneously. Improving these patients’ health is a boon to the system – and to themselves, of course.
Ribera’s technology subsidiary, Futurs, created the Cynara Citizen portal to do the things hospital portals do – let patients make appointments, upload lab results, ask questions or do tele-consultations with their providers through Microsoft Teams – but also to coordinate a hub management approach to patient care where the providers involved in each patient’s care can get together to develop a personalized digital health plan for the patient and monitor it.
The many layers of Cynara technology
The name Cynara is the genus for artichokes, which are highly prized in the southern part of Alicante, where the initial development team is located. But the name is also symbolic of the way the portal’s many functionalities, sometimes layered and overlapping, are like petals of an artichoke, Bosch says. Ribera’s use of Microsoft tools is similarly layered. It employs Dynamics 365 Contact Center, OpenAI models for generative AI projects, Azure Machine Learning tools for non-generative AI applications, Microsoft Fabric, Dynamics Business Central and Microsoft 365 Copilot.
Through Cynara Citizen, Ribera health professionals can track health indicators from patients – with particular focus on those with chronic diseases – to quickly address problems without waiting until the patients’ next appointment. Some chronically ill patients might tend to do nothing until their condition worsens to the point that they have to go to the emergency room; through Cynara Citizen, health professionals can check key health indicators remotely and proactively tell the patient what to do to avoid a health emergency.
“We have linked the app with clinical results,” Bosch says. “Patients are getting better blood glucose control and not going to the emergency room as often.” Level 3 patients, those with the most complex cases of chronic conditions, who were enrolled in the Cynara Citizen Population Health Management Program showed a 23 percent drop in emergency room visits and an 18 percent decrease in readmissions within 30 days, compared with a year earlier, which was before Cynara Citizen launched, according to Ribera. The patients had been in the clinical program enhanced with technology for at least 12 months. Ribera compared the level of use of the services of patients before and after being included in the program.
More broadly, Cynara Citizen, which Ribera developed with Microsoft technology, can reduce care gaps, helping patients follow their health plans so they are less likely to have to go to the emergency room. By seeing in real time whether, for example, a diabetic patient has a drop in glucose levels, Ribera health professionals can call the patient and get them to react before the glucose levels fall to the point that an ambulance has to be called, or that the patient falls into a coma. Because patients know who the professionals are on their care team and can message them in addition to making appointments, Ribera believes patients feel they are getting good care and good access, Bosch says. Since the app runs on Microsoft Azure, it can be easily and securely accessed from nearly anywhere.
Ribera’s active investment in AI
“The advantage is that you can collect much more information. Not just five items but maybe 30, using variables that are not easy to find – maybe they are in the labs and if a person has to collect them manually, it’s impossible.”
Mireia Ladios Martin, head of quality at Ribera and product manager for Futurs. Photo by Miguel Vizcaíno for Microsoft.
Cynara Citizen is just one way Ribera is using technology. For more than four years, Ribera has been actively investing in AI with three goals in mind – sorting data, refining that into better insights and predicting. It expects machine learning to classify information and doctors and patients better understanding of cases, such as spotting patterns that signal a patient has a high probability of being readmitted to the hospital, so care can be adjusted accordingly. For example, it developed a model using Azure Machine Learning to identify patients at risk of developing pressure ulcers, a huge concern in hospitals. Another model can predict the risk of patients falling.
“The advantage is that you can collect much more information. Not just five items but maybe 30, using variables that are not easy to find – maybe they are in the labs and if a person has to collect them manually, it’s impossible,” says Mireia Ladios Martin, head of quality at Ribera and product manager for Futurs. The AI tools complement the traditional risk assessment scales.
For example, Ribera wants to identify patients who have infections at their surgical site after their operation. A team of physicians reviewed every patient who had surgery and noted whether they had an infection after 30 or 60 days. Then Ribera used data mining to identify everything related to infection. The resulting model delivers a score for each patient, so those with high scores can be flagged for closer looks.
Generative AI can create content; in that realm, Ribera is exploring several projects to lighten the administrative burden on doctors. One uses AI to generate discharge papers for some routine procedures, such as cataract surgery, to relieve doctors of certain administrative tasks so they can devote more time to actual patient care.
Ribera fully anonymizes data and works with Microsoft to ensure safeguards around data security and the ethical and legal rationales of AI in the healthcare setting. “We need to be very cautious about patient privacy, about which kind of information we send, where and how,” Bosch says, adding that Ribera also carefully examines the rationale for using AI in corporate and health applications, to ensure it is ethical and legal.
Bosch compares Ribera’s use of AI to a taxi driver using GPS – the driver, or in Ribera’s case the doctor, is still in charge and making decisions, but the technology can help speed the process and reduce stress.
“There’s more demand than the current system can provide,” Bosch says, “so we need to do more and better with the same resources. We need to be more efficient and provide more value.”