SAP Analytics Cloud: Analytics Designer Hackathon – Clinical Department analysis
This blog post is a submission for the Analytics Designer Hackathon.
More information about the hackathon can be found here: https://www.sap.com/idea-place/app-design-hackathon.html
Use case: Clinical Department analysis
The scope of responsibility of Chief Physicians has widened in recent years. Thus, they are not only responsible for medical quality but also need to manage staff, financial matters and cost accounting. Our solution assists Chief Physicians in handling their management tasks faster and more easily by giving them HR, Finance, Patient, Surgery and department´s data in one application, easily accessible and up-to-date.
The main objective for every hospital and clinical department is the high quality of medical results. In order to achieve this high quality, it is immensely important to receive real-time information regarding quality indicators, utilization and performance data as well as personal data in a clear, easy to monitor and easy to interpret way.
Chief Physician (professional, personal and economic responsibility)
Landing Page / Overview
The landing page as a starting point provides important KPIs which are clustered in several sections.
The application provides multiple interaction and navigation possibilities to the user. The user can show or hide the menu on the upper left corner of the dashboard. The use of commonly used icons with straightforward semantic meaning for navigation makes it much easier for the users to find their way in the application.
The Navigation Menu provides the following possibilities:
- Reset filters and return to the landing page
- Set Dashboard-wide filters
- Launch Data Exploration
- Launch Smart Predict
- Save the current selection as a bookmark
- See Dashboard information
Each KPI tile on the landing page links to the view with the detailed information about this KPI. Depending on the KPI the Chief Physician can analyze plan data, compare along with different years and characteristics, as for example Hospital name.
Example KPI “Employees”: by clicking on the KPI ‘Employees’ the user can find information about employees, like the number of employees in each area or degree of satisfaction. This allows the Chief Physician to identify fields of interest and help him to develop actions to improve these KPIs if needed.
Having information available from heterogenous sources and on a different level of granularity enables the User to compare different aspects at one time and identify potential hidden dependencies.
For example, a constantly high rate of bed utilization over a long time span at different institutions may not only require the acquisition of more beds but also call for an increase in staff members.
The application by default shows the data for a whole clinical group. In this group, there is more than one hospital. If management team users want to have a look at a specific hospital, they can further filter the dataset to a certain hospital and find related information.
This enables the management team of the whole group to see big picture along with details on a certain hospital. They can also select multiple hospitals from the filters to make a combined analysis of certain hospital.
The dashboards display information on the following important silos.
- Patient Information
- Quality Information
- Employee Information
- Financial Information
The detailed areas show comparisons for different KPIs based on different characteristics. Some of the detail pages also show how the KPI has developed over the period of the last few years. This gives naturally the opportunity to the management to plan the extension in the group in time.
Acting quickly to very fast-changing requirements in the health care sector can improve the whole health care system enormously for the people.