AI for Value-Based Care:

Skypoint’s AI platform unifies data and AI in a value-based care specific lakehouse, featuring private AI copilots and agents with state-of-the-art accuracy and reasoning. 

Who We Work With:

Ecosystem of AI apps, tailored for every need

Every Skypoint AI model and application we build ensures caregivers provide more empathetic, understanding, and focused care for patients. 

Our platform is an ecosystem of AI-powered apps designed to automate repetitive tasks, uncover insights, answer questions and ease access to data. This enables caregivers to focus on what truly matters – providing exceptional care.

Data Sources We Bring Together for AI Use:

Value-based Care Data Sources

Health Plans, EHRs, DMEs, Claims, CRM, Labs, Pharmacy, SDoH & more.

Unify All Data Sources

Health Plans, EHRs, DMEs, Claims, CRM, Labs, Pharmacy, SDoH and other system data you use regularly.

Policies & Regulations

Internal policies, regulations, procedures, and other documentation.

Policies, Procedures & Other Documents

We bring your PDFs and other Word docs that include policies, procedures, and any other internal documentation. We call this unstructured data.

Audio, Video & Photos

Videos, voice notes, photos and more.

Video, Audio, & Other "Unstructured" Data

We bring in your video, audio, voice notes and other files into a data lakehouse for AI use.We call this unstructured data.

AI Use Cases:

The Skypoint AI platform consolidates fragmented data enabling you to “chat with your data” sources, grounded in context with superior accuracy and reasoning.

1. AI Question Answering

“What are the potential benefits of artificial intelligence in healthcare?”

2. Workflow and Task Automation

Easily search to find the information buried in documents so you are no longer at risk for fines for not being able to produce the appropriate employment documents to regulators.

3. Financial Planning & Analysis

Reduce the need of meetings to review finance metrics  – and provide financial performance insights at the tip of your fingers.

Give me the operator name for the Brookdale Lake Highlands community”

Give me the living options, room types and pricing details for the above community?”

Other Use Case Examples:

EHR Analysis & Insights

“Integrate data from our EHR and patient feedback surveys to analyze trends in readmission rates, highlighting any correlations between patient satisfaction scores and readmission reasons.”

Policy Compliance Management

“Cross-reference our current care protocols with the latest CMS guidelines provided in the recent PDF updates and summarize any discrepancies or areas for SNF compliance improvement.”

Clinical Performance Metrics

“Aggregate our clinical performance data and compare it with national ACO benchmarks available in recent industry reports to identify areas of improvement and excellence.”

Patient Engagement

“Create a patient engagement plan by analyzing previous newsletter engagement metrics and patient demographic data to tailor content for specific age groups and health concerns.”

Cost Reduction Strategies

“Analyze our financial reports and patient care logs to identify high-cost areas and propose strategies to reduce expenses while maintaining or improving care quality.”

Patient Care Optimization

“Utilize our patient health records, including treatment histories and outcomes, to suggest personalized care strategies for better management of chronic diseases like diabetes and hypertension.”

Patient Outcome Forecasting

“Predict the outcomes for different patient cohorts receiving a new treatment protocol, based on historical data.”

Resource Allocation

“Assess utilization data of medical resources and high-risk patient tracking logs to recommend more effective resource distribution plans.”

Staff Training and Development

“Develop a training module for our staff on the latest technologies and practices in value-based care.”

AI Agent User Interface

This interactive layer brings the concept of "Chat with Your Data" to life. It allows healthcare professionals to engage with data in a natural, conversational way, making data more approachable and usable for everyone.

  • Conversational Interaction: Whether you need patient statistics, schedule information, or financial data, ask AI in plain language and receive immediate responses.

  • Secure and Compliant Data Access: Ensures that data interactions are secure and compliant with healthcare regulations. 

  • Accessible to All Users: Regardless of technical expertise, anyone can use this interface to interact with data. 

This Layer Makes Data "AI-Ready"

"AI-ready data" refers to data that is prepared and organized in a manner that facilitates efficient and effective analysis by AI:

  • Well-Organized and Standardized

  • Accurate and Complete

  • Includes Everything Important

  • Easily Shareable

  • Protects Patient Privacy

  • Up-to-Date

  • Used Responsibly and With Permission

This Layer Adds Industry Context

"Industry context" means customizing and using these tools in ways that specifically make sense for healthcare. 

  • Medical Knowledge Integration: An understanding of medical terminology, procedures, diseases, and treatments

  • HIPAA Compliant: It's aware of laws like HIPAA 

  • Understands Patient Data: Capable of processing and interpreting various types of healthcare data (EHRs, doctor's notes, research papers.)

  • Personalized Responses: Tailored responses or analysis based on individual patient data.

  • Accessibility and Clarity: Easily understandable by healthcare professionals, patients, and caregivers.

  • Interdisciplinary Understanding: Understands how healthcare intersects with other areas like insurance & billing.

This Layers Adds Feedback & Fine-Tuning

The Feedback & Fine-Tuning layer of an AI stack ensures that the technology is continuously learning from real-world use and human expertise, adapting to the specific needs of different roles within healthcare, and is always under the watchful eye of human professionals to maintain the highest standards of care and safety.

  • Skypoint's AI is tailored for different areas within Senior Care, such as assisted living and in-home care, with a focus on the specific needs and roles within these sectors.

  • Learning from Real-World Feedback (RLHF)

  • Human Supervision and Ethical Oversight

Learn more: What is an AI Stack?

What Makes Skypoint's AI Unique?

Not a one-size-fits-all AI. Our AI stack includes various components that work together to understand and address your industry’s specific language, processes, and rules. This customization ensures our AI is more precise, relevant, and useful in your daily operations.

Our AI stack is built for reliability, security, and ease of use, making it a trusted partner in your industry’s digital transformation.

With Skypoint’s AI, you’re not just adopting technology; you’re enhancing efficiency and quality of care in value-based care delivery.

Forward Deployed Engineering Services:

Leading-edge AI solutions customized to streamline operations and provide better care.

We build custom AI Copilot tailored to your organization’s specific needs, branding, and terminology. Unlike generic chat bots, like Bard or ChatGPT, a Custom AI Copilot is engineered to understand and work with your unique data sets. 

Sidestep the headaches that come with traditional development and deployment. Make your data accessible and scalable by building your data warehouse and ETL code in the cloud.

Fabric is your go-to platform for all your business intelligence, machine learning, and AI needs, no matter the size. With an open and governed data lakehouse foundation, it’s cost-effective and designed for optimal performance.

Empower your analysts and business users to develop transactional, automated, and analytical solutions—without the time and effort of writing code.

Connect disparate data sources, build data models for meaningful insights, and leverage artificial intelligence and security features to meet your self-service analytics needs.

Empower your analysts and business users to develop transactional, automated, and analytical solutions—without the time and effort of writing code.

Unify the best of data warehouses and data lakes in one simple platform to handle all your data, analytics, machine learning and AI use cases.

Simplify data processes with an integrated cloud data platform that covers workloads for custom software, data analytics, data engineering, data science, and data sharing.

Transform Value-based Care with the Skypoint AI Platform

Get end-to-end AI capabilities that help organizations use value-based payment models, improve outcomes, and give providers insights that support better decisions and experiences.

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