PROforma: a general technology for clinical decision support systems
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Cited by (88)
Definition, purposes, and scope
2023, Clinical Decision Support and beyond: Progress and Opportunities in Knowledge-Enhanced Health and HealthcareClinical decision support methods
2023, Clinical Decision Support and beyond: Progress and Opportunities in Knowledge-Enhanced Health and HealthcareIn Memoriam. Safe, Sound and Profound: A Tribute to Prof. John Fox, PhD, FACMI, FIAHSI (1948–2021)
2021, Journal of Biomedical InformaticsUnderstanding requirements of clinical data standards for developing interoperable knowledge-based DSS: A case study
2015, Computer Standards and InterfacesCitation Excerpt :Different KB-DSSs have been developed to support the care process of a patient, from differential diagnosis [1] to treatment management. During the last two decades, many KB-DSSs have been developed as Computer-interpretable Guidelines (CIGs) represented in formalisms such as Asbru [2], GLIF [3], PROforma [4], SAGE [5] or GLARE [6] and enacted using their respective execution engines [7]. These tools have been created in order to provide real-time, knowledge-based decision support and recommendations to clinicians, based on the best known scientific evidence provided by clinical guidelines [8].
A Brief History of Clinical Decision Support. Technical, Social, Cultural, Economic, and Governmental Perspectives.
2014, Clinical Decision Support: The Road to Broad Adoption: Second EditionAutomated generation of patient-tailored electronic care pathways by translating computer-interpretable guidelines into hierarchical task networks
2013, Artificial Intelligence in Medicine
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