How does Iterata create value? Value Creation based on data indices: By means of a speed layer, which makes the data and results addressable, far-reaching potentials within organizations and across organizations can be tackled promptly. For this purpose, you will find a possible value driver tree, which allows you to lead a strategic and tactical discussion in the management or in the board of directors. No matter which topic you focus on (strategic, tactical, operational), indexing and addressing your business data unlocks its potential and will be converted into a business case return on invested capital (ROIC). Download Factsheet
	Computational anatomical models – enhancing the learning process with visual stimuli: 3D representations guarantees a better understanding and support the learning process and comprehension of more difficult topics. For that reason, Iterata Health Platform developed 3D Anatomy Speed Viewer accessing more than 100'000 anatomical items combined to more than 6’000 3D objects based on Wolfram Mathematica curated data sets. Download Factsheet
	Applying algorithms – maintaining sensitive data secure: One of our main principles is it, that we do not copy data, we bring the algorithm to the data. Data stays in the secure policy space. The example of the chaos game represenation shows how domain knowledge can be translated into an algorithm which in turn is applied on real life data. Download Factsheet
	Search Profiles – blaze the trail through large amounts of data: Iterata Research Platform for identifying and validating patient cohorts based on a document archive system among different hospitals in Switzerland. With this approach, large data volume are addressable and searchable. Download Factsheet
	Search Approach (Preselection & tally functionality) – making search requests simple, understandable and manageable: To support the decision making process, simple tools can be applied. A preselection reduces the amount of data, making it manageable, and a simple tally functionality gives an overview of the dimensions of a large dataset and the included elements. Download Factsheet
	Data & Result Governance - handling sensitive data with finesse: Clearly differentiation of four data and result governance levels allows to define security and authorization access level and keep sensitive data safe. Download Factsheet
	Actionable Clinical Information - bring analytics to life: The act of combining large amounts of structured and large amounts of unstructured data for the purpose of generating of pro-and retrospective actionable information in near real-time. Download Factsheet
	Machine Learning – computer based learning supports human based thinking: Training a machine so that it can support the decision making process of a human by classification and cluster recognition in large amounts of data. Download Factsheet
	Structured data entry – structuring data entry and storage: Standardization of data entry improves the workflow everywhere different individuals have to work together. The application is a collaboration between crucial input of domain experts and the implementation of IT specialists. Download Factsheet
	INCREASE – a novel platform for a domain-knowledge driven clinical decision support system: Experienced rheumatologists, genomics and imaging research experts in rheumatoid arthritis (RA) and specialists in data analysis and IT-technology have integrated extraordinary medical knowhow and knowledge in secure handling of sensitive patient data to develop an innovative Platform for Data Collection, Retrieval and Evaluation in Digital Diagnostics and Research (INCREASE) for RA. Download Factsheet
	Anomaly Detection: Iterata Health Platform supports several methods and powerful analytic tools for the identification of cluster and for the systematic detection of anomalies, which in turn supports the decision-making process. Download Factsheet
	Bio-Sequence Computation: Iterata Health Platform supports several methods and powerful analytic tools for bio-sequence computation. Iterata enables geneticists and clinicians to identify and detect genetic anomalies without exchanging the sensitive patient gen data. Based on gene and protein data, novel abilities to do flexible, general computation with bio sequences in a way with many of the chemical computation capabilities and visualization. Download Factsheet