Medical Data Analytics Solutions
We asked ScienceSoft to create a program that could generate a physician’s report from the analysis of single samples by flow cytometry as well as data from EHR/LIS systems. This was not an easy task. In addition to the solid technical expertise shown by ScienceSoft, its developers demonstrated a profound understanding of laboratory software specifics and integrations. They are reliable, thorough, smart, available, extremely good communicators and very friendly.
Maria Zannes, President & CEO at bioAffinity Technologies
BI Implementation for a Medical Provider of Mobile Diagnostic Imaging Services
ScienceSoft delivered an HHS-compliant BI solution, which allowed the Customer to conduct a comprehensive analysis of their business performance, improve business processes, and enhance the customer service experience.
Implementation of a BI Solution for 500+ Nursing Homes
ScienceSoft developed a secure analytical system with a universal OLAP cube, which ensured the improved analytical process and standardized reporting.
BI Implementation for 200 Healthcare Centers
ScienceSoft implemented a BI solution, which allowed storing the vast amount of healthcare data (data on medication inventory, clinical services, patient data, marketing activities, etc.) and conducting comprehensive population health analysis for prompt reporting.
Implementation of a BI Solution for the US Leading HIE Vendor
ScienceSoft delivered a flexible BI solution to aggregate and analyze patient data from different healthcare providers for effective risk management. Additionally, the solution had several security levels (all data, organization-level, community-level, personal-level data) based on user roles.
Why Go for Value-Improving Analytics
Providers have to watch over different dimensions simultaneously, balancing quality care delivery with moderate costs while tracking workforce and financials. Keeping all these dimensions effective is impossible without custom analytics, since only tailored, agile tools can accommodate both established processes and changing conditions (such as the transition to a value-based care environment).
The analytics that helps to improve value, keep up with the competition and evolve care quality is based on 5 interconnected dimensions: outcomes, costs, patient-generated health data (PGHD), financial management and internal processes.
Outcomes
This dimension will provide you with essential data for detecting treatment anomalies and identifying trends. For this, we aggregate diverse parameters that indicate individual patients’ progress:
- Length of hospital stay.
- Status of health or recovery.
- Time to return to work.
- Level of regaining physical activities.
- Readmissions.
- Mortality, and others.
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).
PGHD
Patient-generated health data (PGHD) can be the key part of continuous care delivery, especially for chronic disease management. We analyze it to help you constantly monitor patients’ current health status, identify irregularities, evaluate the treatment plan progress, recognize early symptoms of complications and reduce readmissions.
Sample insights:
- Abnormally high or low blood glucose levels (for diabetes patients).
- Significant SpO2 level changes (for COPD patients).
- Overall trends on patients’ nutrition, hydration, temperature, weight, blood pressure, etc.
Costs
It takes a deep understanding of resources used throughout the care delivery cycle to optimize costs. We can help you analyze exact costs of particular episodes for each patient to get a larger picture of your expenses in the form of interactive charts and reports, to enable evidence-based decision making.
Sample reports:
- Variations of expenses for treating specific conditions, supported by data on each patient and their respective outcomes.
- Relationships between outcomes and costs covering certain periods, offering insights on the results of changes in the care process.
Financial management
We keep you tuned to all the financials by introducing an extended cash flow reporting into your work. With this data, you can build a larger and steadier payment stream as well as make more precise strategic plans.
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.).
Internal processes
We will aggregate data into comprehensive dashboards, charts and diagrams to facilitate transparent performance evaluation at your organization. To identify areas for improvement, you can compare a wide range of inputs. For reference, you can consider a few examples of the exploratory analysis below.
Report types:
- Bed utilization efficiency.
- Equipment utilization rates.
- Operating rooms utilization.
- Medication use.
- Clinical HR analytics (qualifications, certifications, hiring and more).
User Interface
To offer a seamless combination of descriptive, predictive and prescriptive analytics, we break down data volumes into clear reports and charts.
OLAP Cubes
This will allow you to view data from multiple standpoints to expose achievements and root out potential problems.
Databases and data storages
