Using Health IT to Prevent Adverse Events - AHRQ National ...

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Data needed to improve pediatric e-prescribing do not exist in a form that is usable by the pharmacists and vendors. How can we construct and disseminate thisknowledge nationally?
Goal – to improve the safety andusability of e-prescribing in pediatrics• Develop a knowledgebase of rounding tolerancesfor commonly-prescribed medications• Develop an algorithm to round computer-calculatedmedication doses safely.• Develop tools using this knowledgebase andalgorithm that can be integrated into disparate e-prescribing systems• Evaluate the impact on dosing acceptability andpharmacy callbacks
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National Web-Based Teleconference o
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Meaningful Use Incentives
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Benefits of EHR data• symptoms, s
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Framework
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Target errors• Explicit voluntary
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Terminology challenges• Terminolo
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Deep Natural Language Processing“
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Demography of CXRs• 10 years; 889
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Falls• Calibrate database to lite
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Conflicts in the EHR
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Conflicts in the EHR: ―Digital cl
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Self reporting in the EHR
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Self reporting in the EHR• Accide
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Self reporting in the EHR: PPVMista
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Large scale event reporting
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Event reporting• Use NLP and 45 r
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Next-generation detection
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Data quality• All medical record
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Learning from the DataDeviation by
Page 39 and 40: 345New Information ToolsGlucose0.45
Page 41 and 42: Conclusions
Page 43 and 44: Thank You!
Page 45 and 46: Medication Safety• The typical ho
Page 47 and 48: MDMed OrdersOrderingErrors (49%)Tra
Page 49 and 50: Barcode/eMAR at the Bedside • Ord
Page 51 and 52: Real Time Alerts to Nurse
Page 53 and 54: Evaluating the Impact of Barcode-eM
Page 55 and 56: Impact on Potential Adverse Drug Ev
Page 57 and 58: Admin and Transcription Error Study
Page 59 and 60: Impact on Nurse Workflow• 232 2-h
Page 61 and 62: Implementation Factors• Software
Page 63 and 64: Implementation• 45 Enhancements t
Page 65 and 66: Information System Analyst• Troub
Page 67 and 68: Scanners•Need scanning flexibilit
Page 69 and 70: Bar Coding Inconsistencies• Where
Page 71 and 72: Physician Workflow• Inability toq
Page 73 and 74: Over Reliance• Technology driving
Page 75 and 76: Continued Feedback
Page 77 and 78: In Summary• Barcode technology si
Page 79 and 80: Kevin B. Johnson, MD, MSProfessor B
Page 81 and 82: • Adverse events are often mitiga
Page 83: • Single site study using interna
Page 87 and 88: Funded by AHRQ R 18 HSO17216
Page 89: • Mismatches between formulationr
Page 93 and 94: • Discovered 115 medications to r
Page 95 and 96: • Many allow dosing in0.1 ml incr
Page 98 and 99: UsersE-PrescribingSystem ServerSTEP
Page 100 and 101: •Medication Name•Medication Enc
Page 102 and 103: For each known frequency…PatientW
Page 104 and 105: RecognizedMedication InSTEPSToolsKn
Page 106 and 107: For each dose range…PossibleDoseG
Page 108 and 109: • If the age of the patient is le
Page 110 and 111: • Implementation in two vendor sy
Page 112 and 113: Thank You!
Page 114 and 115: Coming Soon!Our Next EventA webinar
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