Problem
Research questions and friction points this paper is trying to address.
clinical intent
healthcare IT
computable information
Actionable Clinical Record
natural communication
Three Generations of Healthcare IT: From the Digital Record to the Computable Care Process
🤖 AI Summary
This study addresses the challenge that existing healthcare IT systems face in extracting and structuring patient-specific clinical intent from natural language. The authors propose a three-layer framework—comprising documentation, clinical state, and clinical intent—and introduce the “Actionable Clinical Record” (ACR) as the fundamental computable unit at the clinical intent layer. They formalize, for the first time, the concept of “computable clinical intent” and develop a readiness maturity ladder alongside a framework for evaluating executable correctness. By integrating clinical information modeling, natural language processing, and standards such as FHIR, the work enables computable representation and validation of clinical intent. Feasibility of ACRs is demonstrated in specific subtasks, providing reusable foundational components for future research in this direction.
📝 Abstract
Objective. Healthcare IT is usually organized by the technologies it adopts. We instead organize it by the unit of information a system makes computable, and describe a computational layer whose object is patient-specific clinical intent. Approach. We give criteria for a computational layer, derive three (record, clinical state, and a proposed layer of intent), and formalize the Actionable Clinical Record (ACR) as the atomic object of the third layer. Discussion. The framework distinguishes prescribed, observed, and intended process; existing standards represent intent once it is structured but do not recover it from natural communication, the capability we localize. The ACR is complementary to FHIR workflow resources, guidelines, and process mining; a companion feasibility study illustrates tractability for one narrow subproblem. Conclusion. Computable clinical intent is a coherent research direction; the ACR, its readiness ladder, and an executable-correctness evaluation framework are reusable constructs for subsequent work to extend, evaluate, or falsify.
Innovation
Methods, ideas, or system contributions that make the work stand out.
computable clinical intent
Actionable Clinical Record
healthcare IT framework
clinical process modeling
natural language to structured intent
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