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Frequently asked questions

1. What is healthcare IT?

Healthcare IT refers to the technology—hardware, software, and infrastructure—that enables the delivery, coordination, and management of healthcare delivery among providers, patients, insurers, and regulators.  

2. How can an AI platform help my healthcare organization?

AI-powered software can analyze large amounts of data from EHRs, claims, and other sources quickly and efficiently. The two types of AI used at HDAI are predictive modeling and generative AI/Large Language Models or LLMs. These tools augment clinical and operational clinical decision-making by surfacing needs and trends at the patient and population level. 

3. What is Health Data Analytics Institute (HDAI)?

HDAI, a HealthTech company, has created the first Intelligent Health Management System, HealthVisionTM using predictive AI and LLMs to improve care quality, reduce clinician burden from EHR tasks, and increase the impact of existing resources. 

4. What is HealthVision?

HealthVision is a suite of products that AI-enable existing workflows for inpatient and outpatient care optimization and revenue-cycle enhancement. The HealthVision platform integrates seamlessly into the EHR and transforms sprawling, less-structured data into normalized knowledge that serves as a common resource across the patient care team. The platform can be deployed for one use case, such as peri-operative care optimization, or across thefull continuum of care –from community-based practices to acute care delivery.  

5. How does HealthVision work?

Powered by predictive analytics and generative AI, HealthVision helps health systems, hospitals, and value-based care organizations improve the health outcomes of the populations they serve. HDAI leverages its predictive models to find the right patients and enroll them in the right workflows and delivers risk profiles and chart summaries to reduce the EHR burden for clinicians. 

6. How can LLMs help a healthcare organization?

HDAI has incorporated a novel approach to using LLMs to transform sprawling, less-structured data into normalized knowledge that serves as a common resource across the patient care team. Sophisticated generative AI tools (LLMs) are used to query, read, and summarize a patient chart in real-time and produce targeted AI Summaries in seconds. Clinicians appreciate the speed and accuracy so they can spend less time searching the electronic records and more time actually caring for patients. 

7. How can Artificial Intelligence (AI) help a healthcare organization?

HDAI’s healthcare clients have seen many benefits of using AI – from enhancing operational efficiency, improving patient outcomes, quality of care, to reducing costs through data-driven insights and strategic decision-making. Our customers use HDAI’s AI to leverage vast quantities of data to identify risk factors, conditions that need attention, read and summarize notes in real-time, and optimize resource allocation, leading to better patient care, potential for increased revenue, and reduced expenses.  

8. What is predictive analytics in healthcare?

Predictive analytics in healthcare refers to the use of advanced data analysis techniques, such as statistical modeling, data mining, artificial intelligence (AI), and machine learning, to analyze historical and real-time healthcare data and predict future outcomes or trends. 

9. What are the key benefits of using predictive analytics in healthcare?

Predictive analytics offers numerous benefits to both patients and healthcare organizations, including:

  • Improved patient care and outcomes: Identifying high-risk patients early, personalized treatment plans, and enhanced disease management.
  • Cost reduction and efficiency improvements: Optimizing resource allocation, minimizing hospital readmissions, speeding up administrative tasks, and reducing fraud.
  • Enhanced public health: Earlier identification and treatment of high-risk patients can reduce healthcare spending and improve quality 
10. What are some common use cases for predictive analytics in healthcare?

HDAI has partnered with healthcare organizations to use predictive analytics to: 

  • Prevent hospital readmissions: Identifying patients at high risk and implementing targeted interventions.
  • Optimize existing resources: Prioritize high risk patients for in-person appointments pre-operatively or for 7-day post-discharge visits to reduce complications and adverse events
  • Manage population health: Identifying trends and patterns with value-based care organizations to drive proactive care for high-risk patients to optimize utilization and improve economics
  • Personalized medicine: Efficiently surface insights that drive proactive, tailored care plans 
11. What are the challenges and considerations when implementing predictive analytics in healthcare?

Challenges when implementing predictive analytics in healthcare can include:  

  • Data privacy and security: Protecting sensitive patient data and complying with regulations like HIPAA. HDAI has addressed this concern with HiTrust and SOC2 certifications and stringent policies and procedures to protect
  • Data quality and cleanliness: Ensuring accurate and relevant data for training algorithms. HDAI has access to a highly consistent, longitudinal, structured data set that captures all claims for all Medicare patients over the last 25 years.
  • Algorithm bias: Ensuring fairness and preventing discrimination in predictive models. HDAI continuously monitors model outputs to guard against bias.
  • Getting provider approval and adoption: Integrating new tools and workflows into existing clinical practices. HDAI has focused on optimizing existing workflows so that clinicians and other users are drawn to the application as a way to ease their workloads, both for prioritizing a cohort of patients based on risks as well as for diving into an AI-enhanced patient chart
  • Lack of transparency and explainability: Understanding how AI models arrive at predictions. HDAI’s HealthVision incorporates transparency throughout the application. Every prediction and AI summary element has a click-through to the underlying source data from the medical record.

Your privacy matters

We believe that an individual’s meaningful control over their own data is as valuable as the data itself. That’s why we are committed to protecting privacy at every turn.
We always:
  • Provide transparency about the information we collect and why we collect it
  • Comply with all applicable privacy rules and regulations
  • Delete personal data from our servers if an individual opts out
We never:
  • Sell data to third parties
  • Share data with third parties besides the primary, explicitly authorized institution
  • Collect data besides what is disclosed
  • Keep personal data for individuals who have opted out

We speak legalese only when we have to, but we do our best to keep it human. Provided below are the full versions of our Privacy Policy and Terms of Service. If you have any questions, don’t hesitate to contact us for clarification.

HDAI Privacy Policy 2023
HDAI Terms of Service 2023

Raphael Cohen
VP AI and Engineering

With expertise in machine learning, cloud computing, and healthcare, Raphael translates complex technical challenges into practical healthcare solutions. He’s pioneered ML platforms to drive innovations in radiology, pathology, and anesthesia while simultaneously improving operational efficiency and scale. Outside of work, he’s an avid cyclist who regularly participates in the Pan-Mass Challenge, enjoys hiking the White Mountains, and is often found playing guitar. He received a BS in Computer Science and Applied Mathematics from Brandeis University.

Bob Scott
VP Security, Compliance, and IT Operations

Bob has 20 years experience enhancing IT systems and security programs in regulated companies.  He has worked with global enterprises down to 10-person start-ups.  He currently holds both CISSP and CCSP certificates from ISC2.  Bob’s professional passion is negotiating the sweet-spot between Security, Efficiency and Company Resources.  Personally, Bob is a land-locked boatsman who laments every day away from the water and an avid table-top gamer.  He received a BS in Microbiology from Cornell.

Summer Kramer
VP Clinical Programs

Summer is a clinical pharmacist with over 15 years of experience in the healthcare industry, including hospitals, payors, and start-ups. Summer has focused her career on clinical program development and healthcare analytics with a constant drive to improve patient outcomes.

Residing in the pacific northwest, Summer enjoys hiking, camping, sailing, and traveling. She received her PharmD from the University of New Mexico, College of Pharmacy.  

Kevin Sampson
VP Finance

Kevin is a CPA with 25 years of executive and managerial experience in accounting, corporate finance, and operations in a variety of industries including medical device, biotechnology, and pharmaceuticals.

By listening and connecting with people, Kevin understands that accurate timely information is vital for everyone in the healthcare system. He received a BS in Accounting and an MBA in Finance and Entrepreneurial Studies from Babson College.

Paul Manberg
VP Clinical and Regulatory Affairs

Paul is an innovative, pragmatic leader with over 40 years’ experience in the medical device and pharmaceutical industries. He has directed clinical trial programs and regulatory activities supporting the successful market introduction of numerous impactful products. He spends his leisure time on the Outer Banks of North Carolina, body surfing and fishing. He received a PhD in pharmacology from The University of North Carolina School of Medicine.

Scott Greenwald
Chief Scientist

With over 25 years’ experience in healthcare research and innovation, Scott is an unprecedented leader in his field, focusing on improved care for everyone. He is an author of over 10 US Patents and over 100 peer-reviewed abstracts and manuscripts. While he’s not immersed in research, you’ll find him playing a mean round of mini golf. He received a PhD in Medical Engineering from the Harvard-MIT Division of Health Sciences and Technology (HST).

Josh Gray VP Analytic Services

Josh has 30 years’ experience in healthcare, including The Advisory Board Company, athenahealth, and Boston Consulting Group. Across his career, he has used a wide range of conventional and unconventional data sources to understand and teach the keys to top performance among the nation’s most innovative health systems and physician groups. Josh enjoys music, hiking, traveling, and watching his daughter take part in synchronized skating competitions. He received an MBA from The Wharton School at the University of Pennsylvania and an undergraduate degree from Brown University.

Carola Endicott
VP Customer Engagement, Marketing

Carola has 30 years’ experience in healthcare, including HMOs, hospitals, and start-ups. Her knowledge and optimistic outlook in operations and leadership, and her passion for making healthcare workers’ lives easier is what drives her devotion to customer engagement. She received an EdM from Harvard University Graduate School of Education.

David Clain Chief Product Officer

David has vast experience with healthcare customers from his time at The Advisory Board Company and athenahealth. His expertise and passion for statistics, strategy, and innovative analytic insights is unrivaled, as is his devotion to the Duke Blue Devils. Looking for that “aha moment” of positive change is what drives him. He received a BA from Duke University.

Margie Ahearn
VP HR

Margie has 25 years of experience in HR leadership. An avid boater, Margie has received numerous awards for excellence in HR and is always looking for challenges to grow professionally and personally. She graduated with an MBA from Southern New Hampshire University.

Nassib Chamoun
Founder and CEO

Nassib is a data scientist, lover of logistical regression and a serial entrepreneur. Previously, he was Founder and CEO of Aspect Medical Systems, a Nasdaq traded company now owned by Medtronic. Outside of work, he enjoys hosting and honing his cooking skills – specializing in Middle Eastern and outdoor feasts. He received an MS from Boston University.

Phil Devlin
COO

Phil has 30 years of experience in executive leadership. Along his journey he’s made effective and profound change in science. Little known facts about him — he loves traveling with his family, he was in the MD Engineering program at Harvard Medical School and owns 15 patents. He received an MS from Northeastern University.

What guides our culture

1

We are driven to make a profound impact on US healthcare

2

We operate in the best interests of patients and those who serve them

3

We understand and protect patient privacy and health information security

4

We use data science to enhance, but never replace clinical expertise and judgment

5

We are committed to continuous learning and improvement

6

We bring rigor, discipline, and reliability to our work

7

We start with kindness, assuming good intent in others

8

We are committed to building a diverse, inclusive team where all employees feel welcomed and appreciated

9

We are committed to the well-being of our employees and their families

Our vision

We envision a healthcare system where decisions are routinely informed by personalized care profiles and predictive analytics, which will improve the health of individuals and populations.

Our mission

Deploy a versatile analytic platform that creates a shared understanding of quantified health risks to inform actions with the greatest potential to benefit patients.

Who we are

We collaborate with leading health systems and integrated delivery networks, value-based care and accountable care organizations, physician groups, and commercial payers to improve care delivery and population health while reducing costs and making efficient use of scarce clinical resources.

Phil Devlin
COO

Phil has 30 years of experience in executive leadership. Along his journey he’s made effective and profound change in science. Little known facts about him — he loves traveling with his family, he was in the MD Engineering program at Harvard Medical School and owns 15 patents. He received an MS from Northeastern University.