Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain.
about
Exploring a clinically friendly web-based approach to clinical decision support linked to the electronic health record: design philosophy, prototype implementation, and framework for assessmentAssessing the accuracy of opioid overdose and poisoning codes in diagnostic information from electronic health records, claims data, and death records.Iterative User Interface Design for Automated Sequential Organ Failure Assessment Score Calculator in Sepsis DetectionImproving opioid prescription practices and reducing patient risk in the primary care setting.Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains.Paediatric models in motion: requirements for model-based decision support at the bedside.Adherence to prescription opioid monitoring guidelines among residents and attending physicians in the primary care setting.Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing.Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program.Behavioral medicine perspectives on the design of health information technology to improve decision-making, guideline adherence, and care coordination in chronic pain managementMeasurement of adherence to clinical practice guidelines for opioid therapy for chronic pain.Managing pain in high-risk patients within a patient-centered medical home.Clinical Decision Support Tool for Parental Tobacco Treatment in Hospitalized Children.Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention.Automating Performance Measures and Clinical Practice Guidelines: Differences and Complementarities.Opioid use in primary care: asking the right questions.Usability of clinical decision support system as a facilitator for learning the assistive technology adaptation process.Australian survey of current practice and guideline use in adult cancer pain assessment and management: perspectives of oncologists.A Knowledge-Modeling Approach to Integrate Multiple Clinical Practice Guidelines to Provide Evidence-Based Clinical Decision Support for Managing Comorbid Conditions.
P2860
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P2860
Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain.
description
2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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2010年学术文章
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2010年学术文章
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name
Designing an automated clinica ...... ioid therapy for chronic pain.
@en
type
label
Designing an automated clinica ...... ioid therapy for chronic pain.
@en
prefLabel
Designing an automated clinica ...... ioid therapy for chronic pain.
@en
P2093
P2860
P921
P356
P1476
Designing an automated clinica ...... ioid therapy for chronic pain.
@en
P2093
Brigit Vucic
Charles D Sintek
David J Clark
Denise Daniels
Jack Rosenberg
Jan Elliott
Jodie A Trafton
Martha C Michel
Mary K Goldstein
P2860
P2888
P356
10.1186/1748-5908-5-26
P577
2010-04-12T00:00:00Z
P5875
P6179
1006603819