HealthQuadra Pvt Ltd Welcomes You
Doing Business the Right Way
HealthQuadra Pvt Ltd has been proud to serve the Healthcare community. We’re committed to not only providing quality products and services, but going above and beyond to ensure our customers are completely satisfied. We welcome you to look through our site to see all we have to offer.
About US
Who We Are
As one of the AI & ML companies , is principally engaged in the application of advanced analytical methods to businesses using our expertise in Data Science, Machine Learning, Dynamical Systems, and Operations Research. We use mathematical and statistical modeling techniques and efficient algorithms to extract actionable insights from business and public data in a variety of industries such as healthcare, insurance, human resources, and telecommunications. Our goal is to bridge the gap between research in Computer Science, Statistical Physics and Physiology and the business implementation of those concepts. We have a primary interest in building products and providing services that have a significant impact and provide continuing benefit for our customers.
OUR VISION
Decoding complexities through data, design and science
Our Core Team
The Passion Behind the Business
Arnab Majumdar
Chief Technology Officer
Arnab is a physicist, researcher, and educator. He completed his Integrated M.Sc. in Physics from the Indian Institute of Technology, Kanpur before moving to Boston, USA, where he did his Ph.D. and postdoctoral work at Boston University. During his years in academic research, primarily in the domain of statistical physics and biomedical engineering, he has published over forty research papers in international peer-reviewed journals including Nature, Physical Review Letters, Proceedings of the National Academy of Sciences USA and American Journal of Respiratory and Critical Care Medicine. In addition to teaching courses at Boston University, he has spoken at numerous meetings and conferences addressing physicists, doctors, and researchers.
Since joining HealthQuadra Pvt Ltd, Arnab Majumdar has played a crucial role in the continued success of the business.
His exceptional skill set, true passion and creativity has inspired massive growth.
Kaustav Chakraborty
Chief Operating Officer
Kaustav is an entrepreneur with twenty years’ experience in varied fields such as manufacturing, human resources, and information technology. He has managed key accounts for companies like Tata Metaliks, Diebold India, Cognizant Technology Solutions, Tata Consultancy Services, IBM and many others. He has been extensively involved in the career development of engineers, both in information technology as well as manufacturing. Additionally, he has expertise and experience in setting up a manufacturing unit in the renewable energy sector.
After a thriving career in many different businesses, HealthQuadra Pvt Ltd was pleased to welcome Kaustav Chakraborty to the team. As a motivated, results-oriented collaborator, they’ve helped to make us what we are today.
Team Members
Nachiket H. Gokhale
Nachiket is a Mechanical Engineer who completed his B.E. from the University of Pune, followed by Masters and Doctoral degrees from Boston University. He is a scientist, innovator and a software maverick. He uses computational techniques to solve problems in solid mechanics by problem formulation and software development using appropriate tools for the problem. He has efficiently moved between a variety of software environments and projects ranging from software development to cutting-edge, innovative engineering projects e.g. acoustic cloaking resulting in a patent application. These projects involved learning large amounts of applied mathematics and software frameworks under tight deadlines.
AREAS OF EXPERTISE
No matter what your needs are, you can count on HealthQuadra Pvt Ltd for the support you deserve. We see each customer as unique, which is why all of our services can be completely personalized to fit specific needs and preferences. Browse through our comprehensive range of services below to learn more about what we can do for you.
Mathematical Modeling
Systems with inherent complexity arise in business processes, social and economic interactions, and biological activity. We use mathematical methods to decompose such systems into sets of interacting components and simulate their activity. Such models can then be simulated to obtain quantitative predictions as well as identify the emergence of unexpected behavior.
Data Science
Fluctuations and randomness pepper almost every observable behavior, hiding patterns, and correlations. We use methods from statistics, probability, statistical physics, information theory, and econometrics to analyze business as well as scientific problems and develop algorithms that predict outcomes.
Scientific Computing
Scientific computing involves the use of advanced computing capabilities to solve complex problems in physical, biological and social science. We use Monte Carlo and molecular dynamics simulations, graph theoretic and network science techniques, dynamical systems analysis, as well as image and signal processing.
Operations Research
While modeling and prediction allow us to understand system behavior, knowing the optimal response to this discovered behavior is essential for effective analytics. We leverage the mathematics and science of Operations Research and allied fields to formulate and solve optimization problems that inform decision-making.
Application Development
We encapsulate our solutions into deployable applications either on cloud platforms or on the premise of the client. We design and develop systems to integrate and store data, perform computations and display information either through a web or desktop application.
Communication, Data Visualization, and UX
No amount of analysis achieves the desired result if it cannot be immediately, accurately and convincingly communicated among stakeholders with minimum confusion. We employ principles of written and graphical communication as well as interface and interaction design to streamline the comprehension of our reports.
OUR EXPERIENCE
Hotspot prediction for Covid19 and Influenza:
By combining a range of public and private information we were able to accurately map covid19 and influenza hotspots at a county and state level respectively, across the U.S. for a week out. Using techniques such as dimensionality reduction and Time Series Analysis on a range of daily clinical data along with socioeconomic indicators and factors such as mask-wearing policy and mobility trends, we were able to predict the desired hotspots. Governments and health systems could use such data to set policy and allocate resources, while individuals could use it to evaluate the personal risk of planned outings.
Modelling of the Socioeconomic data to predict Covid19 and Influenza Mortality, Morbidity, Cases and Deaths in the U.S.
Using socio-economic data such as population, age, household size and income status along with mobility and mask usage policy we were able to predict Covid 19 and influenza mortality, morbidity, cases and deaths at a county and state level respectively.
Inorder to analyse the data we used data compression and dimensionality reduction techniques along with regression to get to the desired outcome. Such data can be used to monitor the spread of the virus, which can then be used to run vaccination drives or to impose restriction policies at different regions.
Descriptive Analysis of the socioeconomic factors responsible for the Spread of Covid19 in England and Wales.
We developed a technique to analyse Socioeconomic data of a region such as population, age, household size, communal residents, income status, etc, to figure out which of the factors are more effective in that particular region for the spread of the covid19 virus. Using dimensionality reduction techniques along with Deep learning we were able to model the spread of the virus and using Sensitivity Analysis technique we were able to figure out which factors had the most weightage for the spread of the virus. Governments and health systems can make use of such Analysis to set policies and impose restrictions and caution on specific socioeconomic factors.
US Healthcare Analytics
In collaboration with Ideation Technology Solutions, we are conceptualizing, developing and implementing an analytics platform for healthcare business and clinical users. It focuses on providing computing models for patient population analysis, predictive algorithms, performance tracking of care delivery systems and the development of risk or engagement identifying algorithms.
Indian Healthcare Analytics
We are providing functional, technical and marketing guidance for a business intelligence product which helps to analyze the huge cache of data that is generated from hospital management systems and electronic health records. Stakeholders can get live clinical and administrative insights on all aspects of a hospital. This product goes on to de-identify all hospital data and uses the entire repository of data to analyze and come up with population insights, meaningful for strategic decision-making.
Personal Health Records
Personal Health Record (PHR) is a product initiative to integrate all personal health data into a digital format. This application enables the patients or next of kin to easily upload records into the system creating an archive of medical records , test reports, doctors prescriptions and images. The analytic engine infers from the data warehouse about the next prognosis and prepares the patient to ask educated questions to the doctor by summarizing the medical history, predicts the possible outcome on the basis of the data available and issues notification as pointers about immediate actions required.
Medical Image Analysis
Medical Image Analysis is an approach to Analyse radiology images using Artificial Intelligence to help the doctors to make a more sophisticated and appropriate identification of a particular disease or diseases that may be present. This product helps in depth Analysis of the Existing Abnormalities and diseases in an image in order to help radiologists to save their time and concentrate on the more critical cases.
Smart Health
This mobile application facilitates a doctor by helping him to arrange all patient appointments either by him or by his designated person, This also facilitates the consumers by locating a doctor within his locational periphery, book an appointment and track the appointment time in real time. This application also benefits organisations with a large number of practising doctors by methodically managing doctors appointment and billing.
The analytic engine can help predict and prescribe the patients for the next course of action
Cervical Cancer Screening
Cervical cancer is one of the most prevalent, yet preventable forms of cancer affecting women globally, with a high rate of mortality. We are working with organizations engaged with local at-risk population, to run an awareness program among a group of about 200 sex workers in Kolkata. We linked this working group to Tata Medical Centre and Chittaranjan National Cancer institute for providing screening and post-screening treatment.
Insurance Schemes Analytics
The project is about providing a next generation and state-of-the-art Analytical Ecosystem as required at Dr.NTRVST for addressing the two fold objective of providing descriptive and predictive analytics to the stakeholders at Dr.NTRVST. The proposed Analytical system should help users move from the existing operational reports available in the Dr.NTRVST Transactional system that are static in nature and create a Self-Service Analytical Environment where users can slice and dice the Dr.NTRVST Data and gain insights into the data by applying various Statistical and Data Mining techniques. The Analytical system should seek to automate various activities that are currently done manually while trying to perform analysis on the Dr.NTRVST data and also bring-in the best practices to the Analytical System. The end-result of identifying exceptions and hidden trends in the Dr.NTRVST data should be achieved with minimal manual interventions and the overall decision making and planning process needs to be made more efficient.
Letter of Protection Management System
We created a web-based medical practice management system for linking patients to doctors and attorneys, scheduling medical procedures, and tracking the resulting claims. The Application is optimized for personal injury business processes. It provides a robust system for tracking claims throughout their lifetime which includes receiving new orders, requesting/receiving documents between attorneys and physicians, scheduling patients for their procedures, and generating reports and invoices. The application is designed in a multi-tenant architecture so that it can onboard different companies onto it’s system and process their requests concurrently. The system’s Document system is also designed to be HIPAA compliant for better security. The backend of the application is deployed in Google Cloud Platform using cloud Datastore and cloud storage as its main Database,while it is powered by a Flask server deployed in Google Compute Engine. The frontend of the Application is designed in Vuetify which is hosted in google firebase hosting.
Get in Touch
HealthQuadra Pvt Ltd is committed to exceeding your needs. Questions, comments or special requests? We’d love to hear from you, so don’t hesitate to reach out today.
Opening Hours
Mon - Fri: 9am - 6pm
Sat: 10am - 2pm
Sun: Closed
