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.
Access
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.
Access the ACI Journal (Member-only)
Recent ACI Articles
Prospective Cohort Study of Remote Patient Monitoring with and without Care Coordination for Hypertension in Primary Care.
March 18, 2023
Out-of-office blood pressure (BP) measurements contribute valuable information for guiding clinical management of hypertension. Measurements from home devices can be directly transmitted to patients' electronic health record for use in remote monitoring programs.
Digital Antimicrobial Stewardship Decision Support to Improve Antimicrobial Management.
March 14, 2023
We sought to create a digital application to support clinicians in empiric and pathogen-directed antibiotic ordering based on local susceptibility patterns and evidence-based treatment durations, thereby promoting antimicrobial stewardship.
A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.
March 10, 2023
The 21st Century Cures Act mandates the immediate, electronic release of health information to patients. However, in the case of adolescents, special consideration is required to ensure that confidentiality is maintained. The detection of confidential content in clinical notes may support operational efforts to preserve adolescent confidentiality while implementing information […]
CIC 2022: Identifying high need primary care patients using nursing knowledge and machine learning methods.
March 7, 2023
Patient cohorts generated by machine learning can be enhanced with clinical knowledge to increase translational value and provide a practical approach to patient segmentation based on a mix of medical, behavioral, and social factors.