Exchange of Information from a Clinic Framework to a Neighborhood Wellbeing Office.


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Exchange of Information from a Clinic Framework to a Neighborhood Wellbeing Office Evelyn O. Talbott, Dr.P.H., M.P.H LuAnn L. Verge, Ph.D. February 24-26, 2009 TRACKS2009 Washington, DC Because of… Ron Voorhees, ACHD Rao Guduru, ACHD Linda Gmitter, UPMC Adam Gronsky, UPMC
Transcripts
Slide 1

Exchange of Data from a Hospital System to a Local Health Department Evelyn O. Talbott, Dr.P.H., M.P.H LuAnn L. Edge, Ph.D. February 24-26, 2009 TRACKS2009 Washington, DC

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Thanks to… Ron Voorhees, ACHD Rao Guduru, ACHD Linda Gmitter, UPMC Adam Gronsky, UPMC Tony Fabio, University of Pittsburgh Tanya Kenkre, University of Pittsburgh

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Cooperation Data gave to Allegheny County Health Department as a major aspect of Public Health Surveillance Data gave by the University of Pittsburgh Medical Center to enhance Public Health Only total information will be given to specialists

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Via webpage to-website VPN, UPMC will send: patient name, SSN, race date of visit, time of visit, location, date of conception, sexual orientation, sort of protection, Chief grumbling ICD9 conclusion code attitude For every single clinic visit with a last determination code of 460-520 from Allegheny County doctor\'s facilities Matched respiratory information UPMC will cleanse all ED information that don\'t coordinate a comparing release code of 460-520 Irrelevant information

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Data Transfer Site-to-website VPN has been devoted for information exchange Firewalls to secure information are set up at ACHD Firewall exemptions have been added to permit information from doctor\'s facility to pass consistently to ACHD

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Data design Medical record information lands at ACHD in a level document progressively when the last analysis is connected to an asthma Emergency Department visit (typically under 24 hours) Data is then put away on a safe Oracle server that was given by Pitt APEX Data is open to ACHD disease transmission specialists through Oracle Discoverer

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VPN Connection imparted to UPMC If no affirmation, the association is broken If Medipac information is available for a visit with intense receptive aviation route infection arrives, it is exchanged ACHD recognizes the information receipt yes ACHD dumps information to an Oracle database The information can then be examined utilizing the secret key ensured electronic interface of Oracle Discoverer at ACHD Data is de-distinguished and made accessible to APEX analysts

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Interruption in administration

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De-ID of UPMC Data File Creation of extraordinary Identifier and evacuation of UPMC and patient identifiers Create Cpi-T variable [integer; 14 digits] Create VN-T variable [integer; 10 digits] Let Cpi-T = formula(Cpi) Let VN-T = formula(Visit number)

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De-ID of UPMC Data File Calculation of Age variable and evacuation of Date of Birth Create “Admit Day” variable [CCYYMMDD] Create “Age” variable [numeric, 3 digits] Create Age Groups Let “Admit Day” = truncated “Visit Admit Date”; keep initial 8 digits just Let “Admit Day” = truncated “Visit Admit Date”; keep initial 8 digits just

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De-ID of UPMC Data File Assigning of Census Tract and evacuation of patient location data Create “Census Tract” variable Assign enumeration tract utilizing project (80% hit rate) Manually dole out remaining Census Tracts

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De-ID of UPMC Data File Delete Identifying Information Delete Account Number Delete Cpi Delete Visit number Delete Patient Name Last Delete Patient Name First Delete Patient Name Middle Delete “Date of Birth” field Delete “Age” field Delete “Patient Address-Line 1” field Delete “Patient Address-Line 2” field

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Preliminary information 2009 – gave by ACHD 7921 messages transmitted Feb 1-12, 2009 548 had finding of 493.x (6.9%) 5228 of these were last (dreamy) analyze 389 had determination of 493.x (7.4%) These speak to 2623 people Age reach is 0-99 Mean age is 46.93

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Expected accomplishments Innovative, savvy observation methodology Near continuous reconnaissance Manageable measure of data (~50 asthma cases/day) Based upon an analysis, not free-message Mechanism to gather other data of general wellbeing significance

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Future Directions This safe association can be used to accelerate reporting of notifiable sicknesses to advantage the wellbeing division It can be used to transmit data on lab tests for metals and other organic markers for biomonitoring to advantage ecological general wellbeing following

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Im W. Schneider D. Impact of Weed Pollen on Children’s Hospital Admissions for Asthma During the Fall Season. Documents of Environmental and Occupational Health. 60(5), September-October 2005, 257-65.

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Im W. Schneider D. Impact of Weed Pollen on Children’s Hospital Admissions for Asthma During the Fall Season. Files of Environmental and Occupational Health. 60(5), September-October 2005, 257-65.

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Case-Crossover Analysis of Air Pollution and Cardiorespiratory Hospitalizations: Using Routinely Collected Health and Environmental Data for Tracking Significant affiliations were seen between the fourth quartile in PM10 and cardiorespiratory hospitalizations (chances proportion [OR]: 1.12; 95% CI: 1.02–1.23) and cardiovascular hospitalizations just (ICD-9: 390–459) (OR: 1.13; 95% CI: 1.01–1.26) preceding the plant conclusion. After conclusion of the plant, PM10 was not essentially connected with cardiorespiratory or cardiovascular sickness hospitalizations. Additionally, the referent testing methodologies did not incredibly change the estimations for the situation hybrid examination. The discoveries recommend that conclusion of the steel coke plant was connected with

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