Healthcare generates massive amounts of data every day. Patient records, treatment outcomes, operational metrics, financial data - it's overwhelming. But buried in that complexity are insights that could save lives, reduce costs, and improve care quality.
The challenge isn't collecting data - it's making sense of it all. Traditional analytics tools require specialized training, expensive software, and weeks of setup. Meanwhile, critical decisions get delayed while you wait for reports.
Sourcetable changes that equation. It's advanced data analysis that feels as familiar as a spreadsheet, with AI that understands healthcare workflows.
Purpose-built for the unique challenges of healthcare data analysis
Built-in security controls and audit trails ensure patient data remains protected while enabling powerful analytics.
Clinical staff can perform complex analyses without learning SQL or specialized analytics software. If you can use Excel, you can use Sourcetable.
Monitor patient outcomes, track quality metrics, and identify trends as they happen, not weeks later in quarterly reports.
Combine EHR data, lab results, billing information, and operational metrics in one unified analysis without complex ETL processes.
AI-powered insights help identify at-risk patients, optimize treatment protocols, and improve care coordination across departments.
Track key performance indicators, analyze cost per outcome, and identify opportunities for operational improvement.
See how different healthcare organizations use Sourcetable to transform their data into actionable insights
A regional hospital reduced 30-day readmissions by 23% by analyzing patient demographics, diagnosis codes, discharge protocols, and social determinants. The AI identified patterns showing which patients needed enhanced discharge planning and follow-up care.
An urban medical center cut average wait times by 40 minutes by analyzing patient flow patterns, staffing levels, and acuity data. They discovered optimal staffing ratios for different times of day and seasonal variations.
A research institution increased trial enrollment by 60% by analyzing patient records to identify candidates who met specific criteria. Automated screening reduced manual review time from hours to minutes per patient.
A hospital system saved $2.3M annually by analyzing usage patterns, vendor pricing, and clinical outcomes data. They identified opportunities to standardize supplies without compromising patient care quality.
A multi-specialty clinic automated their quality reporting for Medicare and insurance requirements. What used to take their quality team 2 weeks now generates automatically with real-time updates.
A primary care network improved diabetic patient outcomes by analyzing HbA1c trends, medication adherence, and appointment patterns. They identified high-risk patients needing intensive case management.
Our streamlined process makes complex healthcare analytics accessible to clinical and administrative staff
Import from EHR systems, lab databases, billing platforms, or upload CSV files. Sourcetable handles the technical complexity of data integration while maintaining security standards.
Instead of writing complex queries, simply ask: 'Show me readmission rates by department' or 'Which patients are overdue for follow-up?' The AI understands healthcare terminology and context.
Sourcetable automatically applies appropriate statistical methods, creates visualizations, and highlights significant patterns. No need to choose between correlation analysis, trend identification, or cohort studies.
Generate executive dashboards, clinical summaries, or detailed reports that stakeholders actually understand. Export to PowerPoint, PDF, or keep live dashboards updated automatically.
Healthcare organizations use Sourcetable for a wide range of analytical challenges. Here are the most common scenarios our customers tackle:
Track treatment effectiveness across different patient populations, identify best practices, and monitor quality indicators. Compare outcomes between providers, departments, or treatment protocols to optimize care delivery.
Analyze patient flow, resource utilization, and staffing patterns. Identify bottlenecks in care delivery, optimize scheduling, and improve patient satisfaction scores through data-driven operational changes.
Monitor revenue cycle metrics, analyze cost per case, and track payer mix trends. Identify opportunities to improve margins while maintaining quality standards through comprehensive financial analysis.
Analyze patient populations to identify health trends, risk factors, and prevention opportunities. Support value-based care initiatives with data-driven insights about community health needs.
Automate compliance reporting for CMS, Joint Commission, and other regulatory bodies. Ensure accuracy and timeliness of quality metrics while reducing administrative burden on clinical staff.
Yes, Sourcetable is built with healthcare-grade security and privacy controls. We maintain HIPAA compliance through encrypted data transmission, secure cloud infrastructure, audit logging, and access controls. Your patient data remains protected throughout the analysis process.
Sourcetable integrates with major EHR systems through secure APIs and standard data formats like HL7 FHIR. We also support CSV exports from most healthcare systems. Our integration team can help set up secure connections that meet your organization's IT requirements.
Most healthcare organizations start analyzing data within their first day using Sourcetable. Simple analyses with uploaded CSV files work immediately. EHR integrations typically take 1-2 weeks to set up properly with your IT team's involvement for security approvals.
Sourcetable handles all common healthcare data types: patient demographics, clinical data, lab results, medication records, billing information, operational metrics, quality indicators, and survey data. It automatically recognizes healthcare-specific data formats and coding systems.
No statistical background is required. Sourcetable's AI automatically selects appropriate analytical methods based on your data and questions. It explains results in plain language and highlights clinically significant findings. However, domain expertise in healthcare helps interpret results meaningfully.
Yes, Sourcetable supports role-based access controls suitable for healthcare organizations. You can set up different permission levels for clinical staff, administrators, executives, and researchers while maintaining patient privacy and regulatory compliance.
Our AI is trained on healthcare terminology, clinical workflows, and medical coding systems. It understands concepts like ICD-10 codes, clinical protocols, quality metrics, and healthcare KPIs. This allows you to ask questions using natural medical language rather than technical database terms.
Your healthcare data remains encrypted and isolated in secure cloud infrastructure. We never use your patient data for training our AI models or share it with other organizations. You maintain full control and ownership of your data with options for data residency requirements.
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.