improving oral health with informatics_sdm research symposium_0510

8/9/2019 Improving Oral Health With Informatics_SDM Research Symposium_0510

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Improving oral

health with

informatics

Center for Dental Informatics

University of Pittsburgh School of Dental Medicine

SDM Research Symposium, May 12, 2010

Titus Schleyer, DMD, PhD

[email protected]


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Center for Dental InformaticsUniversity of Pittsburgh School of Dental Medicine # of 21

Challenges to improving oral health

understanding the epidemiology of oral

and craniofacial disease*

conducting research in dental practices*

measuring and improving clinical decisions

* NIDCR Strategic Plan 2009-2013


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Potential informatics solutions


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structured data

standardized information models

improved electronic dental records


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What are structured data?Progress note

PT: Jane Doe from Mesadonia where 1 out of 2 have periodisease. 4 years ago she was not having any symptoms of thisdisease.

Health hx updated:yes, healthyPatient Concerns: Her perio disease is not stable since her frontteeth are loose making her fearful of biting hard. She needs agood quality office where she can put her trust in.

Objective: Comprehensive exam wanted to also do a periomaint appoint, but patient did not have any money to sparetoday and wanted to do this next week. Denise wanted to do themaint today and get her on the road to stabilizing.

OCS: wnl smoker and Dr. A is rec a vizilile exam once a year.Patient scared of the unknown and cried.

GINGIVA: Patient had 4 quadrants of periodontal surgery 2years ago. She never wants to have it again. Molars areinflamed and need attention to help her stabilize. Recession andmobility are generalized

PROBE DEPTHS: 1-6 mm active infection in the molars periotype 4 at age 30. bone loss horizontal and vertical.

B.I.:34 sites of bleeding

PLAQUE/CALCULUS: stain all over from smoking and coffee.While probing I could feel debris and rough root surfaces

RADIOGRAPHS: brought x-rays

DtAGNODENT READINGS:1=34, 2=17, 5=30, 7=20, 11=12.12=11, 17=20, 20=9, 21=5, 29=24, 32=28


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One way to get structured data


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Natural languageprocessing

Jeannie Irwin. Speech to chart: speech

recognition and natural language

processing for dental charting. PhD

thesis. 2009.Supported in part by NIDCR awards 1R21DE018158-01

and 5 T15 LM007059-21 (through NLM).


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structured data




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Paper-based patient record formats

Schleyer TK, Spallek H, Hernandez P. A qualitiative investigation of the content of

dental paper- and computer- based patient record (CPR) formats (JAMIA, 2007)


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A brief tour of the Electronic Dental

Record Information Model


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Information model

Database

User interface

Data interchange

National Health

Information InfrastructureResearch


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structured data




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Sample usability problem: #28 missing in

Dentrix 11

Thyvalikakath TP, Monaco V, Thambuganipalle HB, Schleyer T. A usability evaluation of four commercial dental

computer-based patient record systems (JADA 2008). Supported in part by 5T15LM07059-17 through NLM and 1

KL2RR024154-02 through NCRR.


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Sample usability problem: #28 missing in

Dentrix 11

Thyvalikakath TP, Monaco V, Thambuganipalle HB, Schleyer T. A usability evaluation of four commercial dental

computer-based patient record systems (JADA 2008). Supported in part by 5T15LM07059-17 through NLM and 1

KL2RR024154-02 through NCRR.


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Dental care is full of decisions

symptoms, findings, diagnoses, treatment,

etc.

when and how we make decisions rarely

studied

key questions:

Are we making optimal decisions?

Are we translating relevant research findings

to the point of care?


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A novel approach to designing EDRs


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Please visit us at:

http://di.dental.pitt.edu.

Thank You for Your Attention!

Questions, comments?

(Yeah!)

H. Torres-Urquidy

P. Hernandez J. Irwin A. Acharya

V Monaco

and

many

others.

H. Spallek

Thanks to:

W Chapman

T. Thyvalikakath
http://di.dental.pitt.edu/http://di.dental.pitt.edu/

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