Healthcare Analytics Consulting
With 50+ projects in data analytics and 100+ projects in healthcare, ScienceSoft delivers comprehensive medical solutions for the analysis of patient-generated health data, patient outcomes, care costs, and more.
Healthcare Data Analytics Market Overview
A data analytics company, Swift Web Design helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most deliberate needs at department and enterprise levels
Healthcare Data Analytics Market Overview
In 2022, the healthcare data analytics market was estimated at $37.15 billion worldwide. Analysts expect the market to reach $121 billion by 2030, increasing at a CAGR of 15.9%. Over half of the market is represented by solutions for life science companies, followed by solutions for healthcare providers. Among the key growth factors are the need to enhance medical staff performance, cut unnecessary costs, and improve health outcomes.
How the Healthcare Industry Utilizes Data Analytics
- 56% of leading healthcare organizations worldwide have adopted/started adopting some type of predictive analytics software, according to Statista.
- 85% of healthcare executives consider data analytics vital to achieving their business objectives.
- 51% of healthcare organizations say that data integration and interoperability are key barriers to implementing efficient data analytics.
- After hospital data analytics implementation, healthcare providers report that 70-80% of emergency readmissions are predicted and can be prevented by timely care interventions.
Healthcare Analytics Solutions Swift Webdesign Offers
A data analytics company, Swift Web Design helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most deliberate needs at department and enterprise levels
Healthcare data warehousing
Design of a healthcare data warehouse and data marts to structure healthcare data for analytical querying and reporting. Protected Health Information (PHI) storage. Integrated storage of EHR/EMR, ERP, HR management systems data, data from public medical databases, R&D results data, etc.
Predictive analytics
Healthcare supply chain optimization and planning (ML-based demand forecasting, supplier risk management, etc.). Disease management (ML-based prediction of patient readmissions, diagnosis validation, etc.). Health insurance management (defining optimal health care plans, potentially fraudulent claims or high-value losses, etc.).
Healthcare business intelligence
Operational analytics (staff scheduling optimization, facility maintenance, claims management, etc.). Patient analytics (patient segmentation, patient journey analytics, treatment plans optimization, etc.). Financial analytics (financial fraud detection, financial risk management, etc.). Performance monitoring of the healthcare staff. Pharma data analytics (production cycle optimization, clinical trials data analysis).
AI-enabled medical imaging
Establishing diagnosis. VR-enabled 3D imaging to provide interactive education for practitioners and medical students. AI-powered virtual assistants to provide patients with answers/recommendations based on their medical history, personal needs, etc.
Healthcare data visualization
Real-time self-service operational dashboards (hospital admissions and load, EMR/EHR data, etc.). Strategic interactive dashboards (key performance indicators, patient trends, hospital performance, etc.).
Big data in healthcare
Capture and store EHR/EMR data, medical device data, data from patient apps, portals, and other patient-related data. Real-time medical device analytics. Remote patient monitoring, alerting on trends and patterns in a patient’s condition requiring a doctor’s attention. Personalized care plan recommendations.
Data Analytics Capabilities for Healthcare
A data analytics company, Swift WebDesign helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most deliberate needs at department and enterprise levels
Analyzing patient progress indicators
to identify treatment anomalies and trends, to define the expenses for treating particular
conditions or patients groups.
Report types:
- Variations of outcomes based on demographic factors (age, income level, lifestyle).
- Variations of outcomes based on a health organization’s internal factors (a specific physician, treatment, facility, and more).
Data sources:
- EHR / EMR.
- ADT.
- Department-specific systems (Cardiology, Dentistry, Neurology, etc.).
- Disease management/population health management.
Analyzing PGHD (patient-generated health data)
to enable constant monitoring of patients' health status, and identification of irregularities, to enable financial planning and optimization.
Report types:
- Blood glucose levels (for diabetes patients).
- SpO2 level changes (for COPD patients).
- Overall trends on patients’ nutrition, hydration, temperature, weight, blood pressure, etc.
Data sources:
Mobile patient apps and portals for:
- Chronic condition management.
- Appointment scheduling.
- Medication intake tracking.
- Post-surgery recovery support, etc.
Comprehensive dashboards, charts, and diagrams
for transparent performance evaluation.
Report types:
- Bed utilization efficiency.
- Equipment utilization rates.
- Operating rooms utilization.
- Medication use.
- Clinical HR analytics (employee qualifications, certifications, hiring, and more).
Data sources:
- PMS.
- EHR.
- LIS.
- RIS.
- Workforce management system.
- Department-specific systems.
Analyzing costs
to define the expenses for treating particular conditions or patients groups.
Report types:
- Variations of expenses for treating specific conditions.
- Relationships between patient outcomes and costs covering certain periods with insights on the results of changes in the care process.
Data sources:
- EHR / EMR.
- LIS.
- RIS.
- Department-specific systems.
- Accounting system / ERP.
Our Supplementary Healthcare IT Services and Solutions
A data analytics company, Swift WebDesign helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most deliberate needs at department and enterprise levels
Healthcare software development services
We build HIPAA-compliant medical solutions with tailored functionality to provide enhanced medical care and increase patient and employee satisfaction.
Medical mobile apps
We develop handy mobile apps for patients, healthcare providers, and medical professionals.
Telemedicine apps
We construct custom and platform-based telehealth apps leveraging big data streaming for:
- Chronic disease management
- Primary care
- Acute care
- Nursing care
- Digital therapeutics
- Neurology, etc.
Virtual reality in healthcare
We create healthcare VR solutions with high and fast user adoption for:
- Medical Education
- Medical training
- Surgery
- Pain management
- Rehabilitation, etc.
Internet of Medical Things (IoMT)
We provide consultancy, implementation, and support services to deliver reliable IoT solutions
- Patient and staff tracking.
- Medical devices.
- Smart hospital components, etc.
Healthcare CRM solutions
We build CRM solutions tailored to healthcare industry specifics based on Microsoft Dynamics 365 and Salesforce Health Cloud.
Our partners
Sasira Dairies collaborates with different partners to enhance to empower sustainamble dairy farming in Uganda
Building Data Analytics Solutions for Different Domains
A data analytics company, ScienceSoft helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most deliberate needs at department and enterprise levels
Healthcare analytics
Patient health condition monitoring, condition-based alerting. Patient treatment optimization. Assessment of patient risks and personalized care plan recommendations. Proactive care (defining trends and patterns in patient condition requiring a doctor’s attention). Fraud detection in healthcare insurance. Medical staff workload prediction and work shift optimization. Optimization of clinical space and equipment usage.
Supply chain analytics
Identifying demand drivers, consumer demand forecasting and planning. Supplier performance monitoring and evaluation. Predictive route optimization. Determining the optimal level of inventory to meet the demand and prevent stockouts, inventory planning and management. Identifying patterns and trends throughout the supply chain for enhanced supply chain risk management.
Customer analytics
Customer behavior analysis and predictive modeling. Customer segmentation for tailored sales and marketing campaigns. Personalized cross-selling and upselling offers for extended customer lifetime value. Predicting customer attrition and customer churn risk management. Customer sentiment analysis.
Financial analytics
Monitoring revenue, expenses and profitability of a company. Profitability analysis and financial performance management. Budget planning, formulating long-term business plans. Financial risk forecasting and management.
Sales and product analytics
Pricing analytics to design pricing strategies. Identifying and predicting sales trends. Conducting product performance analysis. Tracking customer interactions with a product to identify pain points leading to churn. Conducting competitor benchmarking.
Retail analytics
Retail business performance analysis, monitoring sales and profitability. Demand analysis and forecasting. Multi-echelon inventory optimization. Assortment and merchandising planning and optimization. Data-driven recommendations on optimal product promotion activities.
Want to Get a Cost Estimate for Your Healthcare Analytics Initiative?
With extensive expertise in healthcare data analytics services, ScienceSoft's healthcare analysts and solution architects are ready to provide you with custom quote and ROI estimates. Just drop us a line!
