We offer a unique combination of advanced analytics expertise, deep industry knowledge, and cutting-edge technology to build custom healthcare analytics solutions. Use medical data to get actionable insights and drive transformative outcomes with our healthcare analytics company.
Contact UsDue to the digitization of health records and the widespread use of wearable devices, there has been a significant increase in the volume of health data. It holds immense potential for enhancing healthcare when effectively harnessed through advanced healthcare data analytics software.
Patient data analysis enhances predictive capabilities for identifying individuals at risk, enables proactive interventions, streamlines hospital operations, and contributes to more well-informed diagnoses.
of the world’s data volume is being generated by the healthcare industry
average annual production of data by hospitals
growth rate of the amount of data generated per year in healthcare
Looking to Get Actionable Insights From Healthcare Data?
Contact UsHealthcare analytics software analyzes healthcare-related datasets to uncover patterns and trends, enabling improvements at both the individual patient and organizational levels. It involves processing a wide range of data to learn more about disease spread, treatment efficiency, and how to improve healthcare quality overall.
Our team can help you integrate diverse data sources and ensure connectivity between systems. We develop custom medical data analytics solutions that enable an efficient exchange of information and facilitate comprehensive analytics and insights across your organization.
We understand the cost implications of implementing healthcare analytics platforms. Our approach considers software, storage, and ongoing maintenance costs. We work with you to design cost-effective strategies that align with your budgetary requirements.
As a healthcare data consultant, we help overcome challenges related to legacy systems, inadequate storage capabilities, and limited computing resources. Our team ensures that your medical data analytics solutions handle growing volumes of information.
Empeek provides custom clinical healthcare data analytics services for all core use cases. We will analyze your organizational workflows to ensure the functionality of clinical analytics services matches them perfectly.
We develop solutions that analyze claims data to identify patterns, detect fraud, assess risk, and optimize claims processes. Such medical analytics software development services enable efficient claims management and cost containment strategies.
Learn moreWe design custom clinical analytics software to help providers analyze clinical outcomes, identify best practices, check patient safety, and enhance their experience. This software leverages health records, medical codes, and clinical information and helps Data Analysts reduce time on drawing conclusions.
Pharmaceutical data analytics consulting and custom software allows pharmaceutical companies to optimize data collection and analysis, resulting in increased operational efficiency, faster product launches, and improved profitability.
Learn moreAnalyzing healthcare payer data enables insurance companies to gain valuable insights into prevailing healthcare trends and patterns, empowering them to adapt their health plans accordingly. Also, provider organizations can leverage these insights to modify their medical service offerings.
Learn moreBy adopting custom financial analytics solutions, you can gain comprehensive insights into your revenue cycle, billing, and financial performance. It results in better profitability and shows value for all stakeholders.
Learn moreOur software development and healthcare analytics consulting services can optimize supply chain operations for you. It will streamline inventory management, reduce costs, enhance supply chain visibility, and ensure timely delivery of critical resources.
Learn moreOur healthcare data analysis firm creates tools to simplify complex healthcare data into understandable summaries. We build custom dashboards, charts, and graphs for your practice, enabling data-driven decisions.
Learn moreUtilize historical data from patient records to detect trends and patterns, like when symptoms occur, their severity, treatment efficiency, and the peak of the illness. Descriptive analytics software enables health providers to understand how a specific condition evolves.
Implement prescriptive analytics based on simulation and decision-analysis techniques to make more informed choices regarding treatment plans and healthcare facility management. This data analytics approach can make your treatment interventions more effective and cost-efficient.
Rely on existing data to predict possible issues or complications with machine learning and data mining technologies. You can foresee readmission risks, disease outbreaks, and other issues to be better prepared when they strike.
Get a deeper insight into what causes specific outcomes and events using discovery analytics. This data analytics methodology allows you to detect unobvious correlations and make a breakthrough in treating health conditions.
Start Using the Power of Healthcare Analytics in Your Business
Get a ConsultationHealthcare data analytics software provides reliable information to decide which treatment yields the best results in each case. It supports predictive analytics risk assessment, real-time patient monitoring, and early intervention alerts for better patient management within a healthcare facility and during recovery.
Data analytics is key to operating more efficiently and reducing spending with smart resource allocation and cost-efficiency analysis. It allows you to automate many routine processes, including patient flow management, staff scheduling, and inventory management.
Healthcare data analytics services enable evidence-based medicine, where clinicians can better predict outcomes using clinical trial insights and treatment effectiveness analytics. Advanced healthcare analytics also enables more accurate medical imaging analysis and helps detect drug response patterns.
Analytics brings tangible benefits to policymakers and governmental bodies that need to evaluate the efficiency of industry-level decisions. They help detect community health trends, predict outbreaks, do health risk stratification, and analyze preventive care programs to improve the overall population health.
By adopting healthcare analytics software, medical facilities can make their finances more transparent. It enables better budget planning, streamlines revenue cycle management, and allows you to perform cost-benefit analysis for more evidence-based choices.
Healthcare payer analytics solutions with advanced fraud detection algorithms can analyze patterns, anomalies, and history to protect healthcare data integrity and make payments secure. It saves medical facilities from financial losses and ensures additional protection for personal health information.
PROJECT SUCCESS
ACT is an integrated, self-contained mental health treatment program in which team members work together collaboratively.
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PROJECT SUCCESS
We’ve built a HIPAA-compliant EHR system and Patient Portal for them with advanced telemedicine, billing, and reporting & analytics modules.
Patient Portal includes:
Choose the fixed-price model for building a healthcare analytics solution with well-defined requirements and pay for a specific scope. You tell us what you need to determine the exact engineering cost and timeline before the project starts.
Hire engineers on an hourly basis for projects that require maximum flexibility. The time and materials model is a perfect choice for healthcare big data companies that expect frequent changes in the course or development and cannot predict the scope of work.
Thanks to our extensive tech expertise, the Empeek team can embed healthcare analytics software functionality into your existing system or build any custom solution from scratch.
Java/Spring Framework for robust server-side applications 
Python for data processing and machine learning 
Node.js for real-time analytics features 
RESTful APIs for seamless integration 
Apache Kafka for real-time data streaming 
PostgreSQL for structured medical data 
MongoDB for flexible document storage 
Redis for high-performance caching 
Elasticsearch for advanced search capabilities
HIPAA-compliant data storage solutions 
AWS healthcare-specific services 
Azure healthcare-specific services 
Google Cloud healthcare-specific services 
Docker containers for scalable deployment 
Kubernetes for orchestration 
TensorFlow for machine learning models 
Apache Spark for big data processing 
Power BI for data visualization 
Tableau for data visualization 
PyTorch for machine learning models As a software development agency focusing on outsourcing, we have tried and tested workflows and approaches to remote team management. We will assign a project manager to organize the work, communicate with you as a client, and provide regular reports. You will also have regular calls with the remote team to stay on the same page and discuss the project.
Yes, we will organize interviews with pre-vetted candidates so you can talk to them before hiring. You will be able to additionally evaluate your potential team members to ensure they are a good match for your engineering needs and have the necessary soft skills.
Since we follow Agile and Scrum project management approaches, you will get interim deliverables every two weeks and scheduled calls. You will also constantly stay in touch with a project manager and can send them any questions or requests.
Healthcare analytics is about analyzing and interpreting large informational volumes. It helps gain insights and make informed decisions using advanced analytical techniques, statistical models, and technology tools.
The purpose of data analytics in healthcare is to extract valuable insights and knowledge from healthcare data to improve patient outcomes, optimize operations, enhance decision-making, and identify trends and patterns that can contribute to healthcare delivery and research advancements.
The application of data analytics in healthcare is wide. It predicts trends, supports clinical decision-making, manages population health, evaluates outcomes, improves operational efficiency, and detects fraud.
To ensure security and privacy, you should take several steps:
The main potential barriers to its implementation are the following:
Healthcare data is often unstructured, fragmented, and lacks standardization, making it challenging to aggregate and analyze effectively.
Incomplete or missing EMR data and data sparsity due to limited patient visits pose challenges for accurate analysis and insights.
Protecting patient privacy and ensuring data security is crucial, considering the sensitive nature of healthcare data and the potential vulnerability to breaches and cyber-attacks.
EMR data recorded only during hospital visits creates irregular data structure and time intervals, making it difficult to consistently analyze and extract meaningful insights.
Bias in data collection, biased sampling, incomplete or inaccurate data, and variations in data collection practices across healthcare organizations can introduce bias and impact the quality and reliability of the analysis.
