The software enables mutual documentation for different professions like doctors, nurses, social workers, visiting nurses, pharmacies and psychological services. Available data is retrievable for use and for scientific evaluation at any time. Additionally, practice-oriented measures are implemented that prevent documentation mistakes / medical errors. Even new users can easily navigate in our clearly structured software, and the software's capacity is designed for complex, scientific usage.The integration of our software enables a reciprocal data exchange with other systems.
The documentation and management of the chronically illThe product line Patient Portrait is a modular software framework for medical information systems. Charged with the complex task of creating an application for the documentation and management of chronically ill patients, Patient Portrait has been specially designed to reflect the process of medical treatment.
In close and long-term collaboration with doctors and other medical professionals, software developers have succeeded in designing an information system for the documentation and archiving of patient data.
Patient Portrait emerged from numerous practical tests and was subject to constant revision and optimization. The result is an improvement in efficiency which benefits everybody.
Navigation is intuitive, has multiple hierarchies and sets apart key information from secondary information.In addition, Patient Portrait provides analyses and inquiries. Thus, for the first time an individualized patient management and an inquiry-based data base could be integrated successfully in one software solution.
Standard Modules of Software-Framework Patient PortraitPatient Portrait consists of the following standard modules. For special applications additional modules can easily be integrated.
- Patient details/data
- Clinical trial
- Medical reports
- Support Network
- Today's appointments
- Standard Operational Procedures (SOPs)
Solutions for special diagnostic systemsThe requirements for practice-oriented diagnostic systems are manifold, and call for:
- a swift and clear documentation procedure
- easy transfer of patient data from other systems
- simple recording procedure of diagnostic results in the hospital Information system
network vita Diagnostic assistant clearly lives up to these requirements.Furthermore, network vita has gained enormous experience in planning the design of documentation solutions for diagnostic systems. Careful selection of suitable models in the early stages of software development ensures simple data analyses. Medical findings are filed as legally binding documents in their encoded versions and can easily be accessed.
Retrieval and Evaluation of Structured DocumentationScientific databases hinge crucially on the quality of data. Evaluation and statistical analyses can only produce meaningful results if the data used is of a high quality. Each data version will be saved permanently in a version history allowing for full transparency regarding who altered which data from which workstation.
network vita's prides itself of years of practical experience in the development of data structure and structured documentation. Successful projects include planning of variables, definition of domains, automation of plausibility queries in data input, and design of user interfaces to eliminate faulty data entry.network vita's core competence is the realization of software programs for efficient and correct data input, as well as the design of complex inquiries. Further evaluation of inquiry results are conducted via special statistics programs.
Documentation and Evaluation for multi-centered applications
In a medical context, a cohort is defined as a group of patients whose biography is marked by a specific event. Cohort studies are used to survey complex medical questions. The medical care of patients in a cohort is frequently conducted by several specific treatment centers.network vita offers documentation solutions specially designed for multi-centric use. This ensures uniform documentation of patient data in diverse treatment centers. Some centers use standardized inquiries in order to extract data for international cohort studies.
A uniform documentation of patients in diverse treatment centers is a vital step in improving patient care. Provided that all organizational and data security requirements have been met, data can be jointly evaluated and the results fed back to the optimization of treatment.