Your premier partner in Healthcare Data Analysis

Leverage our deep IoT and analytics experience to advance care quality, gain insights into patient satisfaction, data-driven approaches for chronic disease management, and more.

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  The ABCs of Data Analysis in Healthcare: data saved is data earned.

Data analysis in healthcare is like using a super-smart computer to look at a lot of health information from many people. This computer can spot patterns, like which treatments work best or how to prevent diseases. It’s like having a detective that helps doctors and hospitals make better choices for keeping everyone healthy.

Numbers speak louder than words:

The healthcare sector produces roughly 2,314 exabytes of data each year, growing at an average rate of 47% annually over the last seven years. Just imagine, one exabyte equals a billion gigabytes, and it’s estimated that the total of all human speech ever spoken amounts to just about five exabytes. *American Hospital Association

5 types of Healthcare Data Analytics that transform Big Data into insights.

Explained in simple words.

Type #1: Descriptive Analytics

This is like reading a diary entry about what’s happening in healthcare right now. It looks at current or past data to tell us what has happened. For example, it might show how many people visited a doctor for flu last month.

Type #1 Descriptive Analytics

Type #2: Diagnostic Analytics

Think of this as being a detective. It tries to find out why something happened. So, if a hospital notices an increase in flu cases, diagnostic analytics helps figure out why – maybe there was a flu outbreak in the area.

Type #2 Diagnostic Analytics

Type #3: Predictive Analytics

This is like a fortune-teller for healthcare. It uses data to predict what might happen in the future. For instance, it could predict which patients are at risk of developing diabetes, so doctors can take early action.

Type #3 Predictive Analytics

Type #4: Prescriptive Analytics

Imagine this as a wise advisor. It goes a step further than predicting; it suggests what actions should be taken. If a predictive analysis shows a patient is at high risk of diabetes, prescriptive analytics might recommend a specific diet and exercise plan.

Type #4 Prescriptive Analytics

Type #5: Cognitive Analytics

This is like having a super-smart robot that learns and thinks. It uses artificial intelligence to understand, reason, and learn from healthcare data. For example, it can help doctors make better decisions by analyzing medical research, patient history, and current treatments all at once.

Type #5 Cognitive Analytics

What are the origins of Healthcare Data?

Origins of Healthcare Data
Origins of Healthcare Data

8 medical Data Analytics development scenarios for integrating Big Data in healthcare.

Custom Solutions

Custom Solutions

Tailored specifically to address unique healthcare challenges, these solutions are designed to meet the specific requirements and objectives of individual healthcare scenarios.
Embedded BI

Embedded BI (Business Intelligence)

This is like adding a super-smart brain to existing healthcare software. It helps the software understand and analyze data better, making it more useful.
Platform Customization

Platform Customization

It’s like setting up your phone just the way you like it, but in healthcare, we make changes to a general data analytics platform to make it work perfectly for a hospital or clinic’s special needs.
Real-time Data Analysis

Real-time Data Analysis

This is like getting instant updates on your phone. In healthcare, this means analyzing patient data right away, so doctors can make quick, informed decisions.
Patient Data Mining

Patient Data Mining

Imagine digging for treasure, but instead of gold, we’re digging through heaps of patient data to find valuable insights about health trends and treatments.
Predictive Risk Modeling

Predictive Risk Modeling

This is like having a crystal ball. It uses old data to predict future health risks, helping doctors prevent diseases before they even start.
Telehealth Data Integration

Telehealth Data Integration

Think of this as connecting dots. It’s about combining data from virtual doctor visits with other patient data to give a complete picture of someone’s health.
Healthcare IoT Analytics

Healthcare IoT Analytics

This is like using Fitbits but for healthcare. It involves analyzing data from medical devices connected to the internet (like heart monitors) to track and improve patient health.

Top 10 Healthcare Data Analytics Use Cases unveiling the future of medical care.

Disease Course Prediction

Disease course prediction

Predicting how a disease will progress helps doctors plan the right treatments and give patients better care.

Treatment Planning

Treatment planning

 It’s like creating a roadmap for each patient’s treatment, making sure they get the best care possible.

Chronic Condition Management

Chronic condition management

 Managing long-term health issues, like diabetes or heart disease, to keep patients healthy and reduce hospital visits.

Self-Harm Prevention

Self-harm prevention

Using data to identify individuals at risk of self-harm or suicide so that they can receive the help they need.

Resource Allocation

Resource allocation

Like distributing game pieces in a board game, this is about using data to allocate resources like hospital beds, doctors, and equipment efficiently.

Patient Load Management

Patient load management

Making sure hospitals have enough space and staff to handle all their patients without becoming overwhelmed.

Supply Chain Management

Supply chain management

Ensuring that hospitals have the right medicines and equipment when they need them, just like making sure a store has enough products on its shelves.

Fraud Prevention

Fraud prevention

Detecting and stopping any dishonest or fraudulent activities in healthcare billing or insurance claims.

Patient Engagement

Patient engagement

Engaging patients in their own healthcare by providing information and tools to help them make healthier choices.

Data Security

Data security

Keeping patient data safe from hackers and ensuring that only authorized people can access it, like locking a diary with a secret code.

We at SumatoSoft develop custom Healthcare Data Analysis solutions for any challenges.

Get proof of our successfully completed projects in the profile.

Why companies choose SumatoSoft for their healthcare projects.

98
%
User satisfaction rate
200
+
Successful projects
25
+
Countries
70
%
Senior engineers
3
+
Years of Сlients’ engagement
10
+
Years on the market

Healthcare Data Analytics services We offer

Custom Healthcare Data analytics solutions Custom Healthcare Data analytics solutions
Healthcare data visualization toolsHealthcare data visualization tools
Electronic Health Record (EHR) system integrationElectronic Health Record (EHR) system integration
Healthcare predictive analytics modelsHealthcare predictive analytics models
Patient engagement analyticsPatient engagement analytics

Custom Healthcare Data analytics solutions

You will get tailored analytical services specifically designed to fit the unique needs and challenges of your healthcare organization. These solutions help in processing and interpreting complex medical data to provide actionable insights that improve patient care and operational efficiency.

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Healthcare data visualization tools

You will get sophisticated tools that translate intricate healthcare data into easily interpretable visual formats. This service enhances the understanding of complex data sets and aids in the reporting process, making data-driven decision-making more accessible for healthcare professionals.

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Electronic Health Record (EHR) system integration

You will get services that efficiently integrate your existing Electronic Health Records with advanced data analytics platforms. This integration allows for seamless data management and analysis, improving the accuracy and accessibility of patient information across different healthcare systems.

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Healthcare predictive analytics models

You will get predictive models that utilize existing healthcare data to forecast future trends, patient outcomes, and resource needs. These models are instrumental in proactive healthcare planning and decision-making, helping to anticipate and address potential healthcare challenges.

Dedicated support and training

Patient engagement analytics

You will get analytics focused on understanding and enhancing patient engagement and overall experience. This service provides insights into patient behaviors, preferences, and satisfaction, enabling healthcare providers to improve patient-centered care.

Our Rewards & Recognitions

SumatoSoft has been recognized by the leading analytics agencies from all over the world. We deliver value, not just software.
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Our Clients talk about us.

The system has produced a significant competitive advantage in the industry thanks to SumatoSoft’s well-thought opinions.

They shouldered the burden of constantly updating a project management tool with a high level of detail and were committed to producing the best possible solution.

I was impressed by SumatoSoft’s prices, especially for the project I wanted to do and in comparison to the quotes I received from a lot of other companies.

Also, their communication skills were great; it never felt like a long-distance project. It felt like SumatoSoft was working next door because their project manager was always keeping me updated. Initially.

We tried another company that one of our partners had used but they didn’t work out. I feel that SumatoSoft does a better investigation of what we’re asking for. They tell us how they plan to do a task and ask if that works for us. We chose them because their method worked with us.

The Rivalfox had the pleasure to work with SumatoSoft in building out core portions of our product, and the results really couldn’t have been better.

SumatoSoft provided us with engineering expertise, enthusiasm and great people that were focused on creating quality features quickly.

SumatoSoft is great in every regard including costs, professionalism, transparency, and willingness to guide. I think they were great advisors early on when we weren’t ready with a fully fleshed idea that could go to market.

They know the business and startup scene as well globally.

SumatoSoft is the firm to work with if you want to keep up to high standards. The professional workflows they stick to result in exceptional quality.

Important, they help you think with the business logic of your application and they don’t blindly follow what you are saying. Which is super important. Overall, great skills, good communication, and happy with the results so far.

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    Boston, MA 02108,

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    Questions You may have

    Can Healthcare Data Analysis be integrated with my existing systems?

    Yes, our custom solutions ensure smooth integration with your current systems, ensuring a seamless transition and minimal operational disruption.

    How do I start using Healthcare Data Analysis for my organization?

    Contact us through our website, and our team will guide you from the initial consultation to full implementation and support.

    What range of data can be analyzed with your services?

    Our custom solutions are versatile, analyzing data from various sources, including medical equipment, patient records, and more, tailored to your specific needs.

    How does SumatoSoft guarantee system reliability?

    We use redundant systems and continuous monitoring to assure high availability, along with proactive maintenance for minimal downtime.

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