Praedico (pre-ˈdi-ko) is a state of the art biosurveillance toolset designed for the early detection, monitoring, and forecasting of infectious disease outbreaks. The product incorporates cloud computing, big data technologies, and both statistically-based and machine learning algorithms.
Praedico® Data Platform (BDaP)
Powerful data processing platform that handles extraction of data from a host of Electronic Health Record (EHR) systems, processes the data which includes cleansing, normalization, standardization, matching, and publishing of data. BDaP is available as both RDBMS and Big Data versions.
Praedico® Research Platform (PReP)
A flexible and intuitive platform for research and analysis of healthcare data. The architecture of BReP allows for your EHR system to combine data from other sources to allow for powerful data analysis through intuitive interface.
Bitscopic’s Machine learning team has extensive experience in developing models that work with great precision on very large data sets, making sense of the otherwise difficult task of understanding the data at hand. This team has previously made key contributions to Microsoft’s search engine, Bing.com, and has extensive experience working on petabytes sized data sets in an efficient manner.
Big Data & Distributed Computing
The Big data team at Bitscopic, similar to the machine learning team, brings a wealth of experience having worked on Microsoft’s Bing, and is very skilled and experienced in building large scale distributed systems for storage, processing and analytics of data. As a core part of working with Big Data, the ability to prepare the data by giving it structure, standardizing it and ensuring the highest possible quality ahead of analysis, in an efficient and performant way is absolutely critical for success. The Bitscopic team is ideally suited for this having overcome some of the most challenging aspects of this area by dealing with all content available across the entire web.
In today’s world the ability to detect a possible outbreak, be it a Hospital Acquired Infection (HAI) or within the general population, is of utmost importance as the consequences of failing to do so could in many cases result in lost lives. Working with some of the best doctors in this field combined with utilizing the experiences mentioned above to analyze large data sets of Electronic Health Records used by the Federal Government’s hospitals has helped Bitscopic gain the deep understanding in the Bio-surveillance field which puts us in a unique position in helping advance this area by delivering cutting edge products.
At Bitscopic we cater our project management approach to the project needs. Our Program and Project Managers are experienced in various techniques from Waterfall utilizing RUP, to Agile utilizing Scrum techniques.nEach engagement utilizes the appropriate methodology and approach to best fill the project requirements under budget, in scope and on time. We can also provide Project Managers and Scrum coaches to help realign your project needs.
Our team is a collection of talented scientists and engineers with a unique mix of backgrounds from tech giants such as Microsoft, top university research centers, government public health agencies, and the healthcare industry. Our team members are passionate about developing applications that have a great impact on human life and well-being and are gifted in their ability to apply advanced software technologies to solve the real-world challenges such as biosurveillance on a world-wide scale.
Payam Etminani, CEO and Co-Founder
Payam has managed groundbreaking biosurveillance projects with US government agencies and was instrumental in the successful rollout of a new biosurveillance software platform for the VA’s Healthcare Associated Infection and Influenza Surveillance System (HAIISS) program. His expertise spans product development, technology strategy, program management, and business operations. He is an accomplished systems engineer with well-rounded tech industry experience at companies including Newzstand, iStores (acquired by TheFind), Ericsson, and Matrox. He is a co-inventor of a patented technology for matching the network address of a device such as a mobile phone with its MAC address. Payam is fluent in four languages: English, French, Arabic, and Farsi. He received Bachelor of Engineering in Computer Engineering (B.Eng.) from Concordia University in Montreal, Canada.
Farshid Sedghi, CTO and Co-Founder
Farshid oversaw the creation of several of Microsoft’s Bing search engine’s services including big data processing capabilities and has designed and delivered mission critical enterprise infrastructure for companies throughout the world, including Finland, Sweden, United Kingdom and Israel. Farshid worked at Microsoft for six years in various roles. In addition to his leadership in Bing, he was responsible for productizing and incorporating new technologies from Microsoft Research. Farshid has deep expertise in large scale distributed computing and analytics as well intuitive user experience and this led to the development the Praedico Biosurveillance software which is used by the US Veterans Affairs for the early outbreak detection and identification of infectious diseases and bio-threats. He is proficient in four languages: English, Swedish, Farsi, and Turkish and holds a Masters in Computer Science from Uppsala University in Sweden.