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

More documents

Recommendations

Info

Natural language processing• Generate coded information– Defined structure– Defined vocabulary– Handle negation, distribute modifiers, etc.• Keyword searching– Find documents with relevant words– Negation, ambiguous terms, spelling– Stemming prefixes and suffixes– Mapping <strong>to</strong> a thesaurus (UMLS)– Best for less common conditions
Deep Natural Language Processing“Slight increase ofpulmonary vascularcongestion with newleft pleural effusion,question mildcongestive changes”Friedman ... JAMIA 1994,2004pulmonary vascular congestionchange: increasedegree: lowpleural effusionregion: leftstatus: newcongestive changescertainty: moderatedegree: low
Page 1 and 2: National Web-Based Teleconference o
Page 3 and 4: Meaningful Use Incentives
Page 5 and 6: Benefits of EHR data• symptoms, s
Page 7 and 8: Framework
Page 9 and 10: Target errors• Explicit voluntary
Page 11: Terminology challenges• Terminolo
Page 15 and 16: Demography of CXRs• 10 years; 889
Page 17 and 18: Falls• Calibrate database to lite
Page 19 and 20: Conflicts in the EHR
Page 21 and 22: Conflicts in the EHR: ―Digital cl
Page 23 and 24: Self reporting in the EHR
Page 25 and 26: Self reporting in the EHR• Accide
Page 27 and 28: Self reporting in the EHR: PPVMista
Page 29 and 30: Large scale event reporting
Page 31 and 32: Event reporting• Use NLP and 45 r
Page 33 and 34: Next-generation detection
Page 35 and 36: Data quality• All medical record
Page 37 and 38: 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 and 90:
• Mismatches between formulationr
Page 91 and 92:
Goal - to improve the safety andusa
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
show all

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

Create successful ePaper yourself

Delete template?

Save as template?