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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.

    1. 16.7% is the expected CAGR of the global big data analytics market from 2023 to 2032
    2. 56% of healthcare executives worldwide have implemented predictive analytics
    3. 42% of U.S. healthcare providers report increased patient satisfaction
    4. 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

    Big Data Services

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    Our healthcare analytics services

    1. 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.
    2. 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.
    3. 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.
    4. 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

    Types of healthcare data analytics

    1. 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.
    2. 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.
    3. 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.
    4. 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.

    Our healthcare data analytics process

    1. Explore

      First, we identify our client’s pain points, establish clear objectives, and define the project’s scope, including technical requirements, milestones, and deliverables.

    2. Prepare

      We then collect healthcare data from various sources, evaluate its quality, identify potential issues, and clean and validate it for further analytics.

    3. Design

      Next, we create an initial design for your healthcare data analytics solution, outlining a user experience (UX) roadmap and highlighting key product features.

    4. Module

      Our specialists then choose the appropriate algorithms for building and training an ML model, fine-tuning and improving relevant parameters if needed.

    5. 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.

    6. 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.

    7. Visualize

      Our team creates interactive dashboards to support data-driven decision-making and deliver results to all healthcare stakeholders.

    8. 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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      “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

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      Why choose EffectiveSoft?

      1. 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.
      2. 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.
      3. 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.
      4. 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.
      5. 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.
      6. 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

      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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