E-Learning and Collaboration in a University Teaching Hospital

The organization already has in place a fully functional ERP solution for handling financials, HR and related back-office tasks, as well as clinical and departmental solutions, which are linked by dedicated servers.
Goal: In a hospital such as this, educators want to better engage and better educate their students. They also want to be able to access university data from home or their on-campus offices, and to be able to interact online with hospital staff and students from any computer.
Hospital executives also have clinical goals for the new system. They want to cut the costs of managing and operating the complex IT landscape. They want new patient-centered core processes, especially diagnosis, treatment and care. And they want administrative and clinical processes to be interlocked seamlessly. Health personnel need to be unburdened from the onslaught of administrative tasks. R ural hospitals in the surrounding area, general practitioners and ambulatory care providers have to be integrated into the entire system.
Solution: By digging deeper into the functionality of the Siemens Soarian and SAP Healthcare solution, the university hospital could be able to access blended online learning solutions that support both traditional classroom training and the latest e-learning methods. By combining the solutions’ learning management system, authoring environment and a content management system with dedicated Web portals, the hospital could become an e-learning center as well as a medical innovation center. Professors could conduct scheduled classes online or go into the portal at any time to track students’ progress.
Self-service portals also could allow professors to collaborate with one another, sharing research via a secure connection to the university’s master data repository. They could also use this functionality in combination with the HR module to assess medical school candidates online, which could greatly improve their communication and foster a more synergistic academic environment. W ith regard to the hospital’s clinical goals, standard procedures and workflows could be supported by work lists and alerts, automatically triggered when a patient requires immediate attention. Embedded analytics could continuously measure all relevant clinical processes. If a process were to exceed a predefined range (e.g. the patient’s waiting time in the radiology department is too long), the process owner could receive an automated message and could begin corrective measures.
As another result staff could exchange patient documents such as referral and discharge letters, reports, lab results and images with cooperating healthcare providers. Health personnel inside and outside the university hospital could have access to shared patient records. Data privacy and security could be guaranteed because the solution employs the latest authentication and data transfer methods.

Alexander Fischer