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Author's profile photo Aneeque Hassan

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:


Use case: Clinical Department analysis

Business case

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.

Analytics need

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. 

Target Audience

Chief Physician (professional, personal and economic responsibility)

Application Structure

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:

  1. Reset filters and return to the landing page
  2. Set Dashboard-wide filters
  3. Launch Data Exploration
  4. Launch Smart Predict
  5. Save the current selection as a bookmark
  6. See Dashboard information


Details Dashboards

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.

Information Areas

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.

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      Author's profile photo Johannes Kumpf
      Johannes Kumpf

      Great job Aneeque!

      Author's profile photo Jan Wiesemann
      Jan Wiesemann

      Impressive! I particularly like the clean structure and graphical design of the landing page. Nice use of icons and text elements!

      Author's profile photo Patrick Michels
      Patrick Michels

      This is an awesome and impressive use case. Very nice look & feel!

      Congrats to you and your team!

      Author's profile photo Bumble Bee
      Bumble Bee

      That’s amazing and the stats are very accurate. What were the tools used to pool the resources? That would help us a lot.

      Author's profile photo Aneeque Hassan
      Aneeque Hassan
      Blog Post Author

      Sorry I didn't quite get the question?

      The numbers shown in the analysis are just randomized numbers and the tool used to visualize them is SAP Analytics Cloud. Does this answer your question or do you want further information?