Our Healthcare Expertise
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The healthcare industry generates a massive quantity of data, such that data management strategies are often particularly complex. However, the ability to generate meaningful insights from this data, to improve patient outcomes and operational efficiencies within the industry, is now the modern challenge for this sector. Data analytics in healthcare is intended to help providers overcome obstacles to the widespread application of data-derived intelligence:
Our clients choose us because we make healthcare data easier to share among colleagues and external partners, as well as for public consumption.
We assist in providing accurate data-driven projections in real-time, allowing healthcare providers to adapt more swiftly to changing healthcare markets and surroundings.
We can also help to align data strategies by improving cooperation and innovation among healthcare companies through the implementation of low-impact data management automation.
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Along with collecting, analysing, and interpreting data, our tools and software secure the data and analysis results, ensuring that the healthcare professionals who will benefit from the insights have ready access to the information in a form that they can easily use in their work in the most secure way possible.
By employing unique insights and analytic solutions supported by extensive healthcare knowledge, proprietary data, and a cutting-edge technology platform, we assist stakeholders in healthcare in better understanding their value of data, by uncovering hidden insights using analytical-driven solutions.
We can use data analytics for every element of patient care and operational management in healthcare. These studies look at techniques for improving clinical care, promoting illness prevention, and determining the efficacy of various treatment choices.
Learn about our Healthcare StartUp
We have partnered with SAS to enable a time-bound and cost-bound collaborative approach to innovation. Our solution aims to prove valuable use cases for analytics modelling in healthcare.
Within the three broad areas, Butterfly Data offers the appropriate tools and resources.
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Software that collects data from various sources such as patient questionnaires, case files, and machine-to-machine data exchanges.
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Programs that clean, verify, and analyse data in answer to a specific research topic.
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Software that uses the analysis results to recommend various activities to attain specified healthcare goals.
Here are some of the projects we have worked on.
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Natural Language Processing
COVID-19 patient data was used to create a model that predicts whether a patient is likely to be a short or long-term patient in the hospital, based on readings of vital signs and other variables. This results in accurate clinical decision-making and further resource allocation.
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Chatbots
We have built a Cancer Information helpdesk in the form of a Chatbot as part of our final submission. For those wanting access to information from reliable sources, our Chatbot uses AI to provide an efficient yet familiar service to family and friends of cancer patients.
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Healthcare Data Quality
Issues with data quality can be varied, from missing values, to the data itself being invalid. A high level of data quality is essential to be able to maximise the potential opportunity and safeguard against mis-identification to ensure that medical professionals can deliver their best service.
