Healthcare Data Analytics Services
Healthcare data analytics is a way to get actionable insights out of healthcare data and support fact-based decision-making. In data analytics since 1989 and in healthcare since 2005, ScienceSoft provides healthcare data analytics services to optimize customers’ clinical and business processes.
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Full healthcare analytics outsourcing
We take over:
- Selection of a data analytics platform and a tech stack based on your needs and requirements.
- Customization and implementation of a healthcare data analytics solution.
- Compliance of the implemented cloud analytics solution with the healthcare industry regulations.
- Maintainance and evolution of a cloud analytics solution to fit your business goals
Healthcare analytics consulting
What we do:
- Analyze the needs of your company to identify how it can benefit from data analytics.
- Design a detailed healthcare analytics strategy.
- Plan a data analytics implementation roadmap.
- Provide advisory support during healthcare analytics project design, implementation, and evolution stages.
Healthcare analytics implementation
We offer:
- Thorough analysis of your healthcare data analytics needs.
- Design of a tailored healthcare analytics solution.
- Implementation of a secure and compliant medical data analytics solution.
- Development of efficient analytics modules to complement the existing healthcare applications.
- Support of the data analytics solution and other IT infrastructure elements (if required).
- 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.
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.
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 storage of EHR/EMR data, medical device data, data from patient apps, portals, other patient-related data.
- Real-time analytics of medical device data.
- Remote patient monitoring, alerting on trends and patterns in a patient’s condition requiring a doctor’s attention.
- Personalized care plan recommendations.
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.).
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.
Our Medical Data Analytics Portfolio
Data Analytics Solution for a US Leading HIE Vendor
- Aggregation of patient data for medical risk probability analysis.
- Role-based reports and dashboards:
- Registered health problems
- Demographics dashboard
- The impact of diagnoses and medications on medical risk probability, etc.
Data Analytics Implementation for a Mobile Diagnostic Imaging Services Provider
- A data warehouse and analytics solution.
- HHS-compliant reports and dashboards to track:
- Company’s finances
- Clinical outcomes
- Resource utilization, etc.
Data Analytics Solution for 500+ Nursing Homes
- A data warehouse and a 4-dimension universal analytical cube to consolidate and analyze data on:
- Nursing home residents.
- Contacts with residents.
- Claims (invoices issued after encounters).
- Transactions (invoices paid and due).
- Standardized role-based reporting.
Data Analytics Implementation for 200 Healthcare Centers
- Consolidation and aggregation of data from 200 databases for quality population health analytics.
- Comprehensive reporting of data on medication inventory, clinical services, patient data, marketing activities, etc.
Our Customers Say
bioAffinity Technologies hired ScienceSoft to help in the development of its automated data analysis software for detection of lung cancer using flow cytometry. Our project required a large amount of industry specific methodology and algorithms to be implemented into our new software connected to EHR/LIS systems, which the team handled well. They are reliable, thorough, smart, available, extremely good communicators and very friendly.
Maria Zannes
President & CEO, bioAffinity Technologies
During our cooperation, ScienceSoft proved to have vast expertise in Healthcare and Life Science industries related to the development of a desktop software connected to laboratory equipment, mobile application, and data analytics platform. They bring top-quality talents and deep knowledge of IT technologies and approaches in accordance with ISO13485 and IEC62304 standards.
Sergey Shleev
Prof. Dr. Department of Biomedical Science, Malmo University
ScienceSoft designed and developed a native iOS app that offers a quantitative assessment of users’ physical fitness. I was impressed with the excellent level of responsibility, communication skills and mobile competences of both the management team and developers. All the tasks were completed accurately, promptly and efficiently.
Alexander Riftine
CEO, Intellewave
Data Analytics Capabilities for Healthcare
Analyzing patient progress indicators
to identify treatment anomalies and trends.
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).
Analyzing PGHD (patient-generated health data)
to enable constant monitoring of patients’ health status, identification of irregularities, treatment plan progress evaluation, early recognition of symptoms of complications, etc.
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.
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.
Extended cash flow reporting
to enable financial planning and optimization.
Sample reports:
- Expected cash flow based on RCM data.
- Actual cash flow.
- Outstanding payments by specific payers (departments, facilities, diseases).
- Actual ROI by the types of investments (new facilities, medical equipment, such as CT or MRI, 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).
Our Tech Expertise
DWH services and databases
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Data storage
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Cloud services
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Big data
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Programming languages
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Data visualization
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Machine learning platforms and services
Machine learning frameworks and libraries
Neural networks
Convolutional and recurrent neural networks (LSTM, GRU, etc.)
Autoencoders (VAE, DAE, SAE, etc.)
Generative adversarial networks (GANs)
Deep Q-Network (DQN)
Bayesian deep learning
Our Supplementary Healthcare IT Services and Solutions
Healthcare software development services
We build HIPAA-compliant medical solutions with tailored functionality to provide enhanced medical care and increase patient and employee satisfaction.
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.
Medical mobile apps
We develop handy mobile apps for patients, healthcare providers, and medical professionals.
Internet of Medical Things (IoMT)
We provide advisory, implementation, and support services to deliver reliable IoT solutions for:
- Hospital asset tracking.
- Patient and staff tracking.
- Medical devices.
- Smart hospital components, 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.
Healthcare CRM solutions
We build CRM solutions tailored to healthcare industry specifics based on Microsoft Dynamics 365 and Salesforce Health Cloud.
