As the Official eJournal of AMIA and IMIA, the online journal ACI aims to establish a platform that allows sharing knowledge between clinical medicine and health IT specialists as well as bridging gaps between visionary design and successful and pragmatic deployment.
Christoph U. Lehmann, MD, FAAP, FACMI, is the Editor-in-Chief and leads an impressive Editorial Board.
The core editorial subject matters of ACI are: clinical information systems (including electronic medical records and systems, personal health records, physician/provider order entry, electronic prescribing, clinical decision support, nursing information systems, patient scheduling and tracking tools, lab information systems, radiology information systems, PACS, GP information systems), administrative and management systems, eHealth systems, information technology development, deployment, and evaluation, socio-technical aspects of information technology and health IT training.
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ACI is indexed in Indexed and abstracted in Medline®, Science Citation Index Expanded (SciSearch®) and Journal Citation Reports/Science Edition.
Access to the ACI Journal is a member benefit and only available to current AMIA members (Regular, student, retired and lifetime).
AMIA members now receive a 50% discount off ACI Gold open access fees for the journal. This discount applies to AMIA members who choose to publish open access in ACI.
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Recent ACI Articles
Special Topic Burnout: The Digital Workload Divide: Investigating Gender Differences in EHR Messaging Among Primary Care Clinicians.
May 22, 2025
Electronic Health Record (EHR) patient portal messaging has become as essential tool for patient-clinician communication by improving accessibility to primary care. While messaging is beneficial for patients, it can increase clinicians' workloads. Female clinicians receive a greater number of EHR messaging, resulting in an increased workload.
Extracting social determinants of health from dental clinical notes.
May 21, 2025
Objective In dentistry, social determinants of health (SDoH) are potentially recorded in the clinical notes of Electronic Dental Records (EDRs). The objective of this study was to examine the availability of SDoH data in dental clinical notes and evaluate NLP methods to extract SDoH from dental clinical notes. Methods A […]
Summarize-then-Prompt: A Novel Prompt Engineering Strategy for Generating High-Quality Discharge Summaries.
May 21, 2025
Accurate discharge summaries are essential for effective communication between hospital and outpatient providers but generating them is labor-intensive. Large language models (LLMs), such as GPT-4, have shown promise in automating this process, potentially reducing clinician workload and improving documentation quality. A recent study using GPT-4 to generate discharge summaries via […]
Special Edition on CDS Failures: Challenges with Implementing Predictive Models for Inpatient Hypoglycemic Events in CDS.
May 21, 2025
Background Inpatient hypoglycemia is associated with increased length of stay and mortality. There have been several models developed to predict a patient's risk of inpatient hypoglycemia. Objectives Describe the barriers to implementing a model that we developed to predict inpatient hypoglycemic events informing a clinical decision support tool. Methods A […]