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.
Quality assurance in dialysis – from theory to practice
The most common parameters to measure quality assurance in dialysis are:
? Dialysis dose administered
? Restoration of extracellular volume
? Control of blood pressure
? Correction of acidosis
? Control of hyperkalemia
? Control of serum calcium, phosphorus, hyperparathyroidism
? Correction of anemia
? Iron stores ? Nutritional status
? Inflammatory state
These parameters represent target values — and the specific attribute of the treatment results.
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:
? Effectiveness of the dialysis session
? Effectiveness of the dialysis program
? How to move from theory to practice
These challenges need to be managed in a complex environment.
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:
? Defining the target value for a certain indicator
? Measuring the outcomes
? Interpreting the results
? Taking action (intervention)
When leveraging data analysis to drive effectiveness and efficiency in a dialysis clinic, data needs to be: ? Context related (gender, comorbidity, medical data, date, target, indicator)
? Longitudinal and exact day
? Aggregated and specific in the same view (drill down)
? From different perspectives (patient and clinic)
The Nephrological Cockpit accomplishes all of these requirements.