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Healthcare data analytics
EffectiveSoft provides healthcare analytics services to hospitals, public health organizations, clinics, medical device manufacturers, and other healthcare businesses. We create competitive data analytics solutions that empower medical facilities to extract profound insights and make efficient clinical decisions. The outcome? Streamlined operations, optimized costs, and enhanced value-based care.
What is healthcare data analytics?
Data analytics in healthcare involves collecting, studying, and interpreting historical and real-time healthcare data to gain actionable insights by uncovering trends, relationships, and correlations between datasets. Examples of this type of analytics include medical claims data analysis, healthcare insurance analytics, value-based care data analytics, and more.
16.7% is the expected CAGR of the global big data analytics market from 2023 to 2032
56% of healthcare executives worldwide have implemented predictive analytics
42% of U.S. healthcare providers report increased patient satisfaction
39% of U.S. medical entities have reduced healthcare costs
“An analytical platform can be invaluable to healthcare providers transitioning to value-based care. It delivers actionable insights, such as identifying high-risk patients that need proactive care, alerting providers to misdiagnosed conditions and additional screening opportunities, and notifying care teams of hospitalized patients to prevent readmissions. These insights enable clinics to manage patient populations effectively and achieve better health outcomes.”
Alexey Kozlovsky
Delivery Manager
Our data analytics solutions for healthcare
Big data analytics
We develop big data analytics solutions capable of analyzing large amounts of data from electronic health records/electronic medical records (EHRs/EMRs), wearable devices, and other sources. With the software we deliver, healthcare providers uncover valuable insights and make efficient medical decisions to enhance clinical care and improve patient outcomes.
Data warehouses
EffectiveSoft’s developers create healthcare data warehouses (HDWs) that unify, store, and manage vast amounts of heterogeneous clinical, administrative, financial, and operational data. By using the HDWs we build, medical professionals can quickly access essential information to further employ it for data analysis purposes.
Predictive analytics
If you want to forecast healthcare risks and outcomes based on real-time and historical data, harness the power of the predictive analytics solutions we create. Our specialists develop AI-powered software that helps identify health conditions and create lists of high-risk patients, alerting medical professionals to complications before they arise.
Medical image analysis
We create high-quality medical image analysis tools powered by machine learning (ML), deep learning (DL), and computer vision (CV). By deriving meaningful insights from magnetic resonance imaging (MRI), X-rays, and other relevant images, healthcare facilities can increase diagnostic speed, improve accuracy, and foster value-based care.
IoMT analytics
Our developers build Internet of Medical Things (IoMT) analytics solutions to help healthcare companies gather, analyze, and exchange real-time data from medical devices, sensors, and software. The IoMT analytics solutions delivered by EffectiveSoft enhance remote patient monitoring, optimize healthcare workflows, and reduce operational costs.
Data visualization
The custom data visualization tools we build support data analytics and transform complex clinical data into easily comprehensible dashboards, featuring detailed reports, graphs, and charts. If you are seeking actionable insights to guide strategic medical decisions and improve patient care, data visualization software is a must.
Big Data Services
Explore our expertiseOur healthcare analytics services
Consulting
EffectiveSoft provides data analytics consulting services for healthcare companies worldwide. We identify our clients’ pain points and business objectives, create winning data analytics strategies, and define functional and non-functional requirements for the final solution. Our specialists also build comprehensive roadmaps, outlining required resources, estimated timelines, and key results to be achieved.
Dashboard development
If you are a healthcare provider seeking to extend your existing data platforms with dynamic dashboards to visualize medical and patient data, EffectiveSoft can help. By using business intelligence (BI) tools like Tableau, Power BI, and Qlik Sense, we develop interactive healthcare dashboards that display patient demographics, key performance indicators (KPIs), and other essential metrics.
Modernization
Are you a healthcare organization looking to revitalize legacy software for enhanced performance, scalability, and compliance? Trust EffectiveSoft. Based on your specific needs, our tech-savvy specialists can modernize and re-engineer your healthcare solutions, perform complete infrastructure overhauls, migrate organizational data to the cloud, and more.
Data platform development
We create powerful data platforms to consolidate medical data from EHRs/EMRs, patient tracking tools, claims management systems, and other sources. The solutions we deliver offer efficient data management, advanced analytics, improved security, compliance with the HL7, DICOM, and FHIR standards, seamless integration with other systems, and more.
Ready-made vs. custom healthcare analytics software
| Out-of-the-box medical data analytics solutions | Bespoke healthcare analytics solutions | |
|---|---|---|
| Alignment with needs | Designed for generic healthcare needs and workflows | Tailored to specific healthcare needs, workflows, and challenges |
| Scalability | Present scalability challenges with growth | Scale and adapt as healthcare needs evolve |
| Customization and flexibility | Offer predefined features and limited customization options | Provide unique features and full customization capabilities |
| Implementation | Don’t require extensive planning and full-scale development, allowing for quicker deployment | Require detailed planning and development from the ground up, resulting in longer implementation times |
| Security | Come with limited security features, creating data breach risks | Offer enhanced and tailor-made security measures, reliably protecting healthcare data |
| Integration capabilities | May require extra resources to ensure smooth integration | Integrate seamlessly with existing infrastructure and systems, such as EHRs/EMRs |
| Cost and return on investment (ROI) | Require lower initial costs, but deliver lower ROI to the need for customizations and integrations | Require upfront investment but offer higher ROI due to improved efficiency and fewer errors |
| User experience | Provide a generic user experience that lacks personalization | Deliver a highly customized and personalized user experience |
| Maintenance and support | Maintained and supported by software vendors, which can be limiting | Require ongoing maintenance and support, imposing additional costs |
Use cases of healthcare data analytics
The applications of healthcare data analytics are numerous and can be broadly categorized into healthcare and data use cases.
Healthcare
Data analytics in healthcare can enable faster and more accurate diagnoses and improve patient and clinical outcomes. The healthcare use cases of data analytics include but are not limited to the following:
- Patient load management. Predicting and managing an overwhelming patient influx, optimizing appointments, and preventing overlap.
- Chronic condition management. Managing the symptoms of chronic conditions, offering recommendations, and preempting complications.
- Disease control and prevention. Preventing the spread of diseases, forecasting disease progression, and creating proactive treatment strategies.
- Risk stratification. Categorizing patients based on potential health risks and conditions to deliver the right care at the right time.
- Mental health monitoring. Monitoring patients with mental disorders, a history of suicide attempts, or self-harm tendencies to ensure early intervention.
- Real-time monitoring. Tracking health metrics through wearable devices and sensors to promptly respond to changes in patient conditions.
Data
Data analytics helps harness vast amounts of healthcare data to extract valuable insights and drive informed clinical decisions. The data use cases of healthcare analytics encompass:
- Fraud prevention. Detecting fraudulent insurance claims and phantom billing, flagging suspicious activities, and launching investigations.
- Patient data security. Monitoring data security breaches and overseeing compliance with relevant healthcare standards.
- Financial management. Identifying potential financial risks, optimizing relevant strategies, and taking preventive and proactive measures.
- Supply chain management. Forecasting medical supply needs, managing hospital inventory, and ensuring appropriate resource allocation.
- Company-level decision support systems. Supporting strategic healthcare decisions, developing and monitoring KPIs, and managing revenue cycles.
Centralized data storage solution for reporting, analysis, and data-driven decision making.
Types of healthcare data analytics
- 01
Descriptive
Analyzes historical data to identify past trends and answer the question “What happened?” For instance, it allows healthcare organizations to examine previous flu patterns to determine disease spikes, relevant symptoms, and their intensity. - 02
Diagnostic
Addresses the question “Why did this happen?”, enabling medical providers to pinpoint the root causes of past healthcare outcomes. It can uncover the reasons behind suboptimal patient treatment, disease outbreaks, and other trends. - 03
Predictive
Synergizes statistical models, ML algorithms, and historical and real-time data to answer the question “What might happen?” It is used to predict future outcomes like patient deterioration or readmission risks. - 04
Prescriptive
Addresses the question “What should we do next?” and provides insights on how to avoid negative predictions and achieve the desired healthcare outcomes. It can help create personalized treatment strategies and plans.
professionalism and the quality of service
“We have been partnering with EffectiveSoft since 2006, so we’ve had time to become familiar with their professionalism and the quality of service they provide. Of particular note, I would highlight the great responsibility which my custom software development company assumes when solving critical tasks: I am always confident of the thoroughness of the research and the design of the solution. With their help, we are able to do releases every quarter without resorting to individual heroics or burning everyone out. That allows me to focus my attention less on day-to-day release activities and more on other critical company responsibilities.”
Thomas Golden
TruCode
Very clean, right to the point, and delivered as promised
“Please accept my gratitude for the team’s hard work, good, working software developed, and today’s nice demo! Very clean, right to the point, and delivered as promised! From my current position I’ll still be trying to positively influence further progress and extensions of the project, expressing my positive view on our company’s cooperation and outlining future paths. The Intelon-SaaS has been ‘my baby’ from the commencement so I hope to be involved on future technical paths and aspects of the project.”
Sr. Director of Software Engineering
Intelon Optics
Our healthcare data analytics process
Explore
First, we identify our client’s pain points, establish clear objectives, and define the project’s scope, including technical requirements, milestones, and deliverables.
Prepare
We then collect healthcare data from various sources, evaluate its quality, identify potential issues, and clean and validate it for further analytics.
Design
Next, we create an initial design for your healthcare data analytics solution, outlining a user experience (UX) roadmap and highlighting key product features.
Module
Our specialists then choose the appropriate algorithms for building and training an ML model, fine-tuning and improving relevant parameters if needed.
Evaluate
We test the ML model with new data to assess its performance and make adjustments. At this stage, we prioritize clinical utility, ensuring the model delivers high-quality data at the right time and can be integrated into clinical practice.
Deliver
We then integrate the ML model into the production environment, ensuring it fully meets the scalability, security, and compliance requirements of the healthcare provider.
Visualize
Our team creates interactive dashboards to support data-driven decision-making and deliver results to all healthcare stakeholders.
Support
Finally, our maintenance and support team monitors the ML model’s performance, implements any required updates, and resolves emerging issues.
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Our medical data analytics portfolio
- Healthcare data warehouse integrated with Power BI. A centralized data storage solution for reporting, analysis, and data-driven decision-making helped the leading U.S. healthcare provider improve service quality, increase revenue, and reduce expenses.
- Master data management system for locations, providers, and contracts. EffectiveSoft created a centralized master data management system for a U.S. healthcare company, ensuring data accuracy, eliminating silos, and enabling operational efficiency and enhanced analytics.
- KPI development and visualization for a healthcare provider. EffectiveSoft’s team helped a U.S. healthcare organization improve performance and derive data-driven insights by creating an analytics platform and determining the relevant KPIs.
- Huddle report management tool. A huddle report management tool for the U.S.-based healthcare provider to enable proactive management of high-risk patients. The tool improves the quality of care, helping prevent expensive treatments and avoid deterioration in the patient’s condition.
- Enterprise virtual care platform. A web-based telemedicine platform for a provider of cloud-based and virtual care solutions. The platform delivers virtual patient care in various use cases and environments while scaling to any healthcare program and medical facility.
- LabOnline app for iOS. EffectiveSoft developed an iOS app from scratch to help medical laboratories and healthcare professionals collect patient data in a single location for improved diagnosis, treatment, and disease monitoring.
“EffectiveSoft is laser-focused on creating best-of-breed data analytics solutions that transform vast amounts of raw medical information into actionable insights, accessible 24/7. If you, as a healthcare business, have growing concerns about data silos, operational inefficiency, suboptimal patient experiences, or poor security, our data analytics team has the latest competencies to overcome all these challenges, allowing you to deliver patient care more proactively, quickly, and efficiently.”
Siarhei Yaramionak
Senior Data Scientist
Healthcare Software Development
Exlore our expertise
Why choose EffectiveSoft?
Proven track record
Our track record of completed projects speaks for itself—we have successfully implemented and resolved more than 1,830 bold ideas and pressing issues for over 780 clients and partners worldwide. Impressed by our remarkable 94% on-time delivery rate and tech expertise, 60% of our clients return for additional services in other domains.
Domain expertise
EffectiveSoft has established a strong reputation as a competitive healthcare data analytics company throughout its professional journey. With over 21 years of experience in healthcare IT and advanced data expertise, we craft top-tier data analytics solutions that empower healthcare organizations to address challenges and drive their business forward.
Security and compliance
Security and compliance are key ingredients that determine the success of any IT project. To deliver fully secure and compliant solutions, we invest in the ISO/IEC 27001 certification, implement cybersecurity best practices like strong access controls, and comply with all the requirements of HIPAA, GDPR, PCI DSS, FDA, and other relevant standards.
Advanced technologies
EffectiveSoft’s specialists possess finely honed AI/ML and big data skills to strengthen the potential of medical data analytics in initiatives like population health management. Additionally, we are well-versed in blockchain, the Internet of Things (IoT), extended reality (XR), and other technologies, priming cross-industry businesses for growth.
Availability worldwide
EffectiveSoft has brought together over 365 tech specialists from different world regions—LATAM, the US, Europe, and the UAE—to help companies find optimal solutions to their problems despite time zones, cultural differences, and national regulations. Is your business facing tech challenges? Overcome them with our 24/7 assistance.
Quality approach
Whether we are building custom software or implementing a healthcare data analytics solution, we ensure exceptional quality in every project. Our quality-first approach has been recognized with 140 awards from Clutch, GoodFirms, and other market research firms, making EffectiveSoft a preferred tech partner for 79% of our clients.
Conclusion
Data analytics plays a pivotal role in the modern healthcare industry, with its multiple use cases like precision medicine and fraud prevention. Does it have the potential to render medical care more proactive, patient-oriented, and cost-efficient while transforming operations, administration, financial management, and other healthcare aspects? Absolutely. So, why wait to create and implement custom healthcare data analytics solutions? Contact us now to squeeze the maximum value out of your healthcare and patient data for increased clinical efficiency, reduced costs, and improved value-based care delivery.
F.A.Q. about healthcare data analytics
By implementing data analytics into their processes, healthcare entities can achieve the following benefits:
- improved patient care and population health management
- personalized medicine and enhanced patient engagement
- increased diagnostic accuracy and clinical efficiency
- refined treatment strategies and reduced patient readmissions
- simplified patient monitoring and staff management
Although data analytics is highly beneficial for the healthcare industry, its implementation comes with particular challenges. They include substandard data quality, security and privacy, integration with existing systems, talent shortage, resistance to change, and more. Are you feeling overwhelmed by some of these problems and want fast and effective solutions? Our data analysts are ready to assist.
The cost of implementing healthcare data analytics varies significantly based on factors like data diversity and complexity, the required integrations, the use of AI/ML algorithms, and more. To receive an exact quote tailored to your project, contact us now.
The future of data analytics in healthcare looks bright, given the advancements within AI/ML, such as natural language processing (NLP) and CV. Key trends in healthcare data analytics include NLP- and CV-powered data analytics, healthcare data visualization, a focus on value-based care, the use of blockchain for security, and others.
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