Nephrological Cockpit
The quality assurance tool in TDMS
- Supports the quality assurance process
- Status of relevant dialysis key performance indicators
- Context related therapy analysis for both patient and center
- Maximize efficiency and effectiveness in patient care and clinical management
At a glance
| The role of software in the quality assurance process | Software has become an important factor to control, automate and improve the workflow during a treatment, or to manage the dialysis program of multiple patients with different conditions effectively. IT enabled dialysis clinics require and create a large amount of data to be captured during the dialysis program of a patient. This captured data needs to be aggregated and presented — a process known as data analysis. |
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| Quality assurance in dialysis – from theory to practice | The most common parameters to measure quality assurance in dialysis are:
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| Dialysis efficiency | Nephrologists manage both the effectiveness of the dialysis program and the efficiency of their clinic. Decisions have to be made, about the balance between health relevance and economics. So the challenges a Nephrologist and / or Dialysis Clinic Manager face include:
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| Nephrological Cockpit | The Nephrological Cockpit is a key component in an overall quality assurance process in renal replacement therapies and helps face the challenges of chronicle disease management. Quality assurance in a dialysis center requires continuous observation of certain indicators. In many cases interventions are needed to improve the outcomes. The quality approach is a continuous process of:
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The Dialyses Center Status provides an aggregated overview of the hemodialysis related key performance indicators (KPIs).
In the Patient List area you can drill down from a specific KPI, presented in a specific context, to the list of patients who are respectively out of the target range.
The Patient Status area does deliver more specific information with regards to the compliance of a single patient or a group of patients to a KPI. It shows the data for the average value for a specific KPI across all selected patients and the minimum respectively the maximum measured value.
Additionally, within the Patient Status area you can drill down to the most granular view, which is to show a specific KPI for a single patient measured on a specific day. Target ranges and goals can be defined in a dedicated settings area.
