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Next-Generation AI Assistants Deliver Holistic Healthcare Insights

Industry Insights

GenAI, Large Language Models, and Natural Language Processing are Fundamentally Transforming Healthcare

Visit any clinic today and you’ll likely be asked to allow an AI-powered EHR assistant to record the interaction for notetaking. These first-generation AI companions automatically document encounters so caregivers can focus more on patients. Many of them also let clinicians access patient data and summarize charts using plain language requests to save time and improve preparedness.

AI-powered EHR assistants streamline clinical workflows and enhance patient care, but health and care activities are rarely limited to a single healthcare organization or a single EHR system. Over their lifetime, most people receive care from many different providers, paid for by numerous health plans, and documented in a multitude of electronic record systems. The next-generation of digital health solutions are taking on the bigger challenge of delivering data insights across that entire health and care journey, pairing AI assistants with longitudinal health records (LHRs) to provide the comprehensive insights needed to strengthen care for individuals and populations over time.

The Value of LHR-Driven AI Assistants

LHRs combine disparate data from different sources into a unified record, spanning encounters and settings. But the more extensive the record, and the more diverse the data, the more difficult it is for a busy person to draw rapid and relevant inferences from it.

LHR-powered AI assistants make it fast and easy to access and analyze data from across the entire care continuum. These next-generation AI companions help healthcare professionals:

  • Unearth key insights buried deep within fragmented patient histories to make timely, well-informed decisions
  • Interpret clinical information in context for accurate diagnostics and treatment planning
  • Improve continuity of care and coordination across providers and settings
  • Simplify workflows and save valuable time through natural and conversational interfaces

By providing holistic insights, the latest AI assistants foster meaningful improvements in care efficiency and quality, and clinician and patient satisfaction. Many next-generation assistants support no-code prompt configuration to simplify deployment and set up.

Benefits Beyond the Exam Room

LHR-driven AI assistants offer value far beyond the exam room. Healthcare providers, health plans, public health agencies, life sciences companies, and other healthcare organizations can use them to streamline a wide range of manually intensive and error-prone processes. They can help case managers, quality specialists, clinical coders, prior authorization review specialists, scientists, and others surface insights in formats designed for faster, data-driven decisions.

Improving Insights and Outcomes: Next Generation Healthcare AI Assistant Benefits

Functional Team
Potential Benefits
Care DeliveryFaster clinical decisions, reduced burnout, improved care quality
Healthcare ITStrategic AI deployment with governance and interoperability
Care ManagementAccelerated triage, referral support, and care transitions
Risk AdjustmentEfficient HCC validation, reduced missed coding opportunities
Quality ManagementReal-time care gap identification, streamlined quality reporting
Public HealthFaster outbreak response, smarter surveillance, improved population health insight
Life Sciences/ResearchAccelerated trial screening, improved protocol adherence

Conclusion

Healthcare organizations are under constant pressure to boost outcomes, optimize operations, and improve patient experiences. The data to achieve these objectives usually exists, but it is often scattered across different systems in different formats. The latest AI assistants make it fast and simple to process, summarize, and contextualize fragmented health and care data from across the patient journey, helping healthcare organizations improve clinical results and business performance.

The role of AI in healthcare is still evolving, but the trajectory is clear. As AI becomes more deeply integrated into clinical and operational workflows, its ability to interpret data, predict outcomes, and make recommendations will continue to grow. Future AI assistants will help clinicians proactively flag emerging risks before they escalate, guide care teams toward evidence-based interventions, and help patients better understand and manage their own health data to take a more active role in their care.

Get Your Data AI-Ready and
Accelerate Success with InterSystems

When choosing a partner for your AI solution development, you need more than just technology. You need a company with deep healthcare expertise, a principled approach to AI, and the technical capabilities to get the job done.

InterSystems has been a leader in health data management and standards-based interoperability from the earliest days of digital health. Much of the industry has relied on and grown with InterSystems. In fact, globally, more than one billion health records are managed by digital health solutions built on InterSystems technology.

Learn more about our AI-powered healthcare solutions

Další Zdroje, Které By Se Vám Mohly Líbit

říj 02, 2025
HIMSS Market Insights
HIMSS Market Insights conducted this research, sponsored by InterSystems, in April and May 2025 among leaders in MedTech organizations to understand their perspective on integration solutions and efforts. We looked at:
srp 08, 2025
EMC Healthcare
Mr Jusup Halimi, CEO, and Dr Bella Desra Andae, Medical Informatics Specialist, at EMC Healthcare describe their EHR journey with InterSystems – implementing a unified EHR across eight hospitals in 18 months to moving to an AI-powered EHR system.
srp 06, 2025
HIMSS Market Insights Infographic
One Patient, One Record Healthcare organizations rely on a wide range of systems to deliver care — from EHRs and pharmacy software to scheduling tools and billing platforms. But when each system stores patient data separately, inconsistencies, duplicate records and identity challenges can disrupt care and limit AI implementation, workflow optimization and data exchange. Recent HIMSS Market Insights research confirms that healthcare leaders recognize the strategic importance of accurate patient identity data, yet persistent issues continue to undermine progress.
čvc 25, 2025
KLAS Research - Healthcare IT Insights
Successful HIE Deployments Outside the US
čvc 23, 2025
Frost & Sullivan
With its strong overall performance, InterSystems earns Frost & Sullivan’s 2025 Middle East Enabling Technology Leadership Recognition in the EHR of the future industry.
čvc 23, 2025
IDC Market Perspective
In this IDC Market Perspective report, IDC emphasizes that AI is no longer an optional feature but a foundational component of healthcare technology, deeply embedded in InterSystems products and strategy.
čvc 02, 2025
Healthcare Supply Chain
Supply chain visibility is crucial for improved patient care and purchasing decisions. InterSystems Supply Chain Orchestrator provides an AI-enabled supply chain decision intelligence platform to predict disruptions before they occur and optimally handle them when they do. It empowers you to improve patient care with an optimized end-to-end healthcare supply chain.
čvn 27, 2025
UC Christus, Chile
Dr. Sabastian Valderrama, Medical Director for Innovation and Expansion at UC Christus, Chile describes the clinician experience and reduced clinical burden with InterSystems IntelliCare.
čvn 27, 2025
Mediclinic Middle East
Augustine Amusu, Chief Information Officer, Mediclinic Middle East, United Arab Emirates discusses the promise of generative and ambient AI, and the benefit to for strengthened clinician and patient relationship.
čvn 13, 2025
InterSystems IRIS for Health™ as an Independent Data Repository
A clinical data repository (CDR) enables the processing of healthcare data outside of the electronic medical record (EMR) system. Download the white paper to learn more.

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