Case Studies > STATISTICA is helping the General University Hospital in Prague with clinical research of drug optimization

STATISTICA is helping the General University Hospital in Prague with clinical research of drug optimization

Company Size
1,000+
Region
  • Europe
Country
  • Czech Republic
Product
  • STATISTICA Standard Cz
Tech Stack
  • Data Modeling Software
  • Pharmacokinetics/Pharmacodynamics (PK/PD) Software
  • Therapeutic Drug Monitoring (TDM) Software
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Healthcare & Hospitals
Applicable Functions
  • Business Operation
  • Quality Assurance
Use Cases
  • Clinical Image Analysis
  • Predictive Maintenance
  • Remote Patient Monitoring
Services
  • Software Design & Engineering Services
  • System Integration
  • Training
About The Customer
The General University Hospital (GUH) in Prague is one of the largest healthcare facilities in the Czech Republic. It provides basic, specialized, and highly specialized medical treatment as well as nursing, outpatient, and diagnostic care for children and adults in all primary areas. It also provides comprehensive pharmaceutical care, including technically demanding preparation of cytostatic and sterile medical products. The hospital is known for its efficient and highly successful patient treatment processes, and it engages in clinical research studies to further enhance its medical services. The GUH is also involved in post-graduate level instruction, lectures, and professional publications, making it a significant contributor to the academic sector in healthcare.
The Challenge
In connection with an efficient and highly successful patient treatment process, the GUH performed a clinical research study. One aspect of the research was clinical pharmacology (pharmacogenetics, pharmacokinetics, pharmacodynamics) at intensive care units, whose practical use for patients entails drug dosages (doses plus intervals) individualized and optimized for specific patients. One such example would be a child with a specific pathological condition requiring an individualized treatment mode, e.g., whole-body hypothermic treatment, or extracorporeal membrane oxygenation (ECMO), or haemodiafiltration (HDF). As a practice, this facility performs individual pharmacokinetics/pharmacodynamics (PK/PD) and therapeutic drug monitoring (TDM) for patients in all cases of treatment where the effect of a drug depends on dose, plasmatic concentration, and therapeutic range. Processing of primary data and assessment of a given drug’s effect and movement within the organism for a larger group of patients—e.g., in a population of critically ill newborns and children—require not only multidisciplinary cooperation, but also suitable software. Aside from this purpose, this software is also used for post-graduate level instruction, lectures, and high-quality professional publications. In the past, the GUH addressed these needs via outsourcing, which was shown to be inefficient and unsuitable as it involved working with suppliers who do not understand this field completely.
The Solution
The GUH decided to find and implement software that can primarily help modify drug dosage, to put it simply. The goal is for patients to receive drug doses that correspond to their current ages, clinical conditions, and other factors such as genetic makeup. This requires sophisticated software that can model these variables and “recommend” drug dosage. All defined needs are met by STATISTICA Standard Cz from StatSoft CR, a regional StatSoft office in the Czech Republic. The GUH acquired STATISTICA in 2012. The software was installed quite easily during the course of one day by the hospital’s IT staff. Aside from minimum support requirements during installation, the StatSoft team also provided standard training as needed. Cooperation with the supplier was exemplary during both pre-implementation and implementation phases. The supplier’s representatives continue to be excellent partners in the area of client support and training activities, such as providing seminars in the area of statistics.
Operational Impact
  • The StatSoft software is currently performing a very significant role in the individualization and optimization of drugs intended for GUH patients and, subsequently, all patients in general.
  • The research system uses available parameters—the patient’s age, clinical condition, genetic makeup, and other variables—to create a treatment dosage proposal. Positive and negative changes in drug effects related to dosage and concentration are monitored.
  • Research includes the dosage program, patient individualization, and drug effects for extracorporeal blood circulation. The research is passed on to the State Institute for Drug Control (SÚKL), which performs correlation of research results and validation.
  • The main goal, using the implemented software, is to reduce patient treatment time, drug acquisition costs, and hospitalization time for individuals, thus leading to reduced costs for patients and the hospital facility itself.
  • STATISTICA is also of tremendous benefit to the academic sector, including pre-graduate and post-graduate research.
Quantitative Benefit
  • Reduced patient treatment time.
  • Reduced drug acquisition costs.
  • Reduced hospitalization time for individuals.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

Related Case Studies.

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.