Healthcare Case Studies
Secure Data-Driven Solutions for Better Care and Operations
Transforming Healthcare with Modern Data & AI
Spyglass helps healthcare and life sciences organizations improve care quality, streamline operations, and enhance clinician productivity with secure, scalable Data & AI solutions on the Microsoft cloud. We build governed data platforms, intelligent assistants, and interoperable workflows—from predictive maintenance for critical equipment to nursing informatics and purpose‑built healthcare agents—so teams can act on trusted insights and deliver better patient experiences at lower cost.
Accelerating Patient Care
A healthcare organization struggled with slow, manual review of large medical records for respiratory care products—delaying patient treatment, lengthening claims cycles, and increasing the risk of reimbursement errors. Frequent training issues and SME fatigue led to inconsistent reviews, rejected insurance claims, and rising operational costs. Spyglass deployed Document Intelligence using Azure OpenAI, Text Analytics for Healthcare, and Power BI to extract, classify, and validate key clinical data, accelerating claim preparation and reducing administrative burden. Key benefits included:
- Dramatically faster review times and reduced manual workload
- Fewer rejected claims and improved cash flow from faster reimbursements
- Improved patient experience with quicker, more accurate device qualification
- Greater accuracy, reduced SME fatigue, and scalable review capacity without additional staff
- Strengthened HIPAA compliance with audit‑ready tracking and controlled data access
Scaling Data Science for Better Care
A medical device organization operated multiple data science teams working on diverse prediction use cases—from battery life forecasting to claims analytics—powered by IoT and third‑party healthcare datasets. But each team faced similar barriers: limited compute capacity, siloed data, outdated tools, and almost no ability to operationalize models. These constraints slowed innovation and prevented teams from delivering the value the business needed. Spyglass established a centralized data consortium using Azure Data Share, Synapse Analytics, and Azure Machine Learning, enabling secure distribution of large domain datasets and modernizing the full development lifecycle. Key benefits included:
- Access to scalable compute and modern ML capabilities through Azure Machine Learning
- Secure, efficient data sharing without additional ELT/ETL development
- Empowered data scientists able to own their data products and operationalize models independently
Enabling AI for a Hospital
A healthcare institution invested heavily in Copilot for Microsoft 365 and identified opportunities for Copilot Studio to improve employee productivity. However, they struggled to deploy and secure the technology, train users effectively, and realize meaningful ROI. Spyglass partnered with administrators, support teams, and clinical staff to define high‑value use cases, strengthen governance, and enhance adoption. We reviewed existing data controls, implemented improved monitoring for Copilot activity, delivered targeted training, and built a support chatbot to streamline onboarding and user assistance. Key benefits included:
- Increased Copilot usage and higher perceived value across clinical and operational teams
- Reduced onboarding workload through an automated support chatbot that resolved common questions instantly
- Stronger governance and reporting, providing administrators and compliance teams visibility into data interactions
Featured Healthcare Solutions
Healthcare organizations are under pressure to improve patient outcomes, increase operational efficiency, and keep sensitive data secure across complex clinical and administrative environments. Spyglass accelerates this transformation with modern Data & AI foundations, rigorous security frameworks, and intelligent applications designed specifically for healthcare operations and clinical teams.
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Unified Patient Data
Unified data for better patient and operational insight.
Healthcare systems rely on data from EHRs, devices, labs, payers, and third‑party systems but siloed sources limit their ability to act on it. Spyglass builds governed, interoperable data platforms on Azure, Fabric, and Synapse to unify clinical, operational, and financial data. This foundation supports advanced analytics, predictive scenarios, and AI‑powered workflows while ensuring accuracy, accessibility, and scalability across the organization
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Protecting PHI
Protecting PHI with end‑to‑end Microsoft security.
With rising cyber threats and strict regulatory requirements, healthcare providers must secure patient data across every application and workflow. Spyglass deploys Microsoft Purview, Entra ID, Intune, Defender, and Azure security controls to enforce data governance, safeguard identities, prevent breaches, and maintain HIPAA compliance. Unified policies, sensitivity labels, audit trails, and automated protections ensure PHI remains secure everywhere it lives—on‑premises, in the cloud, and across clinical devices -
Clinical Intelligence
AI‑powered tools that enhance care delivery.
Clinicians need faster access to accurate information to make informed decisions and reduce administrative burden. Spyglass delivers intelligent applications—from healthcare bots to document intelligence, prescription approval assistants, and nursing informatics solutions—that streamline clinical workflows and reduce manual effort. These solutions leverage Azure OpenAI and healthcare‑specific analytics to surface insights, automate routine tasks, and improve care coordination, giving providers more time to focus on patients.
Ready to Improve Care Quality?
Act on trusted insights, deliver better patient experiences, and keep costs down with Spyglass MTG.