164 Publications (Page 3 of 7)
2017
Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department
Dixon, Brian EDixon, BrianDixon, Brian EZhang, ZuoyiZhang, ZuoyiZhang, ZuoyiLai, Patrick T SLai, Patrick T SLai, PatrickKirbiyik, UzayKirbiyik, UzayKirbiyik, UzayWilliams, JenniferWilliams, JenniferWilliams, JenniferHills, RebeccaHills, RebeccaHills, RebeccaRevere, DebraRevere, DebraRevere, DebraGibson, PGibson, P JosephGibson, P JosephGrannis, Shaun JGrannis, Shaun J and Grannis, Shaun
BMC medical informatics and decision making, vol. 17, (no. 1), pp. 87, 2017-Jun-23. | Journal Article
 
Exploring perceptions and experiences of patients who have chronic pain as state prescription opioid policies change: a qualitative study in Indiana
Al Achkar, MorhafAl Achkar, MorhafRevere, DebraRevere, DebraDennis, BarbaraDennis, BarbaraMacKie, PalmerMacKie, PalmerGupta, SumedhaGupta, SumedhaGrannis, Shaun and Grannis, Shaun
BMJ Open, vol. 7, (no. 11), pp. e015083, 20171100. | Journal Article
 
Measuring and Improving the Quality of Data Used for Syndromic Surveillance
Dixon, Brian EDixon, Brian EDuke, JonDuke, JonGrannis, Shaun and Grannis, Shaun
Online Journal of Public Health Informatics, vol. 9, (no. 1), 2017-05-02. | Journal Article
 
Measuring and Improving the Quality of Data Used for Syndromic Surveillance
B, DixonJ, Duke and S, Grannis
 
Notifiable condition reporting practices: implications for public health agency participation in a health information exchange
Revere, DebraRevere, DebraHills, Rebecca HHills, RebeccaDixon, Brian EDixon, BrianGibson, PGibson, P JGrannis, Shaun and Grannis, Shaun J
BMC Public Health, vol. 17, 2017. | Journal Article
 
The Building Blocks of Inter-operability
Culbertson, A.Culbertson, AdamCulbertson, AdamGoel, SatyenderGoel, SatyenderGoel, S.Madden, M.B.Madden, Margaret BMadden, Margaret BSafaeinili, N.Safaeinili, NiloufarSafaeinili, NiloufarJackson, Kathryn LJackson, Kathryn LJackson, K.L.Carton, T.Carton, ThomasCarton, ThomasWaitman, R.Waitman, RussWaitman, RussLiu, MeiLiu, M.Liu, MeiKrishnamurthy, AshokKrishnamurthy, AshokKrishnamurthy, A.Hall, L.Hall, LaurenHall, LaurenCappella, NickieCappella, N.Cappella, NickieVisweswaran, S.Visweswaran, ShyamVisweswaran, ShyamBecich, M.J.Becich, Michael JBecich, Michael JApplegate, R.Applegate, ReubenApplegate, ReubenBernstam, ElmerBernstam, ElmerBernstam, E.Rothman, RussellRothman, RussellRothman, R.Matheny, MichaelMatheny, M.Matheny, MichaelLipori, GloriaLipori, GloriaLipori, G.Bian, JiangBian, JiangBian, J.Hogan, WilliamHogan, W.Hogan, WilliamBell, DouglasBell, D.Bell, DouglasMartin, AndrewMartin, AndrewMartin, A.Grannis, ShaunGrannis, S.Grannis, ShaunKlann, J.Klann, JeffKlann, JeffSutphen, RebeccaSutphen, RebeccaSutphen, R.O’Hara, Amy BO?Hara, A.B.O'Hara, Amy BKho, A.Kho, Abel and Kho, Abel
Applied Clinical Informatics, vol. 8, (no. 2), pp. 336, 20170400. | Journal Article
 
Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data
Kasthurirathne, Suranga NKasthurirathne, Suranga NKasthurirathne, Suranga NKasthurirathne, Suranga NKasthurirathne, Suranga NKasthurirathne, Suranga NDixon, Brian EDixon, Brian EDixon, Brian EDixon, Brian EDixon, Brian EDixon, Brian EGichoya, JudyGichoya, JudyGichoya, JudyGichoya, JudyGichoya, JudyGichoya, JudyXu, HuipingXu, HuipingXu, HuipingXu, HuipingXu, HuipingXu, HuipingXia, YuniXia, YuniXia, YuniXia, YuniXia, YuniXia, YuniMamlin, BurkeMamlin, BurkeMamlin, BurkeMamlin, BurkeMamlin, BurkeMamlin, BurkeGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JGrannis, Shaun J and Grannis, Shaun J
Journal of Biomedical Informatics, vol. 69, pp. 176, May 2017. | Journal Article
 
Using structured and unstructured data to identify patients’ need for services that address the social determinants of health
Vest, Joshua RVest, Joshua RVest, Joshua RVest, Joshua RGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JHaut, Dawn PHaut, Dawn PHaut, Dawn PHaut, Dawn PHalverson, Paul KHalverson, Paul KHalverson, Paul KHalverson, Paul KMenachemi, NirMenachemi, NirMenachemi, Nir and Menachemi, Nir
International Journal of Medical Informatics, vol. 107, pp. 106, November 2017. | Journal Article
2016
A practical method for predicting frequent use of emergency department care using routinely available electronic registration data
Wu, JianminWu, JianminWu, JianminGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JXu, HuipingXu, HuipingXu, HuipingFinnell, John TFinnell, John T and Finnell, John T
BMC emergency medicine, vol. 16, (no. 1), pp. 12, 2016-Feb-09. | Journal Article
 
Getting from here to there: health IT needs for population health
Vest, J.R.Vest, Joshua RVest, Joshua RVest, Joshua RVest, Joshua RVest, Joshua RHarle, C.A.Harle, Christopher AHarle, Christopher AHarle, Christopher AHarle, Christopher AHarle, Christopher ASchleyer, TitusSchleyer, TitusSchleyer, TitusSchleyer, T.Schleyer, TitusSchleyer, TitusDixon, Brian EDixon, B.E.Dixon, Brian EDixon, Brian EDixon, Brian EDixon, Brian EGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JGrannis, S.J.Grannis, Shaun JHalverson, P.K.Halverson, Paul KHalverson, Paul KHalverson, Paul KHalverson, Paul KHalverson, Paul KMenachemi, NirMenachemi, N.Menachemi, NirMenachemi, NirMenachemi, Nir and Menachemi, Nir
The American journal of managed care, vol. 22, (no. 12), pp. 827, 2016-Dec. | Journal Article
 
Getting from here to there: health IT needs for population health.
Vest, J.R.JR, VestVest, J.R.Harle, C.A.CA, HarleHarle, C.A.Schleyer, T.T, SchleyerSchleyer, T.BE, DixonDixon, B.E.Dixon, B.E.Grannis, S.J.Grannis, S.J.SJ, GrannisHalverson, P.K.PK, HalversonHalverson, P.K.Menachemi, N.N, Menachemi and Menachemi, N.
 
Predicting Emergency Department Visits.
Poole, SarahS, PooleGrannis, ShaunS, GrannisNH, Shah and Shah, Nigam H
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. | Journal Article
 
Predicting Emergency Department Visits.
S, PooleS, Grannis and NH, Shah
 
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection
Kasthurirathne, Suranga NKasthurirathne, Suranga N.Kasthurirathne, Suranga NKasthurirathne, Suranga NKasthurirathne, Suranga NDixon, BrianKasthurirathne, Suranga NDixon, Brian EDixon, Brian E.Dixon, Brian EDixon, Brian EDixon, Brian EDixon, Brian EGichoya, JudyGichoya, JudyGichoya, JudyGichoya, JudyGichoya, JudyGichoya, JudyXu, HuipingXu, HuipingXu, HuipingXu, HuipingXu, HuipingXu, HuipingXia, YuniXia, YuniXia, YuniXia, YuniXia, YuniXia, YuniMamlin, BurkeMamlin, BurkeMamlin, BurkeMamlin, BurkeMamlin, BurkeMamlin, BurkeGrannis, Shaun JGrannis, Shaun JGrannis, Shaun J.Grannis, Shaun JGrannis, Shaun J and Grannis, Shaun J
Journal of Biomedical Informatics, vol. 60, pp. 152, April 2016. | Journal Article
2015
Characterizing Informatics Roles and Needs of Public Health Workers: Results From the Public Health Workforce Interests and Needs Survey
Dixon, Brian EDixon, Brian EDixon, Brian EMcFarlane, Timothy DMcFarlane, Timothy DMcFarlane, Timothy DDearth, ShandyDearth, ShandyDearth, ShandyGrannis, Shaun JGrannis, Shaun JGrannis, Shaun JGibson, P JosephGibson, P Joseph and Gibson, P Joseph
Journal of public health management and practice : JPHMP, vol. 21 Suppl 6, (no. 6), pp. S140, 2015 Nov-Dec. | Journal Article
 
Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches
Kasthurirathne, Suranga NathKasthurirathne, Suranga NathKasthurirathne, Suranga NathDixon, Brian EDixon, Brian EDixon, Brian EGrannis, Shaun JGrannis, Shaun J and Grannis, Shaun J
Studies in health technology and informatics, vol. 216, pp. 1070, 2015-00-00. | Journal Article
 
Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches.
SN, KasthurirathneBE, Dixon and SJ, Grannis
 
Return to Public Health- Undeliverable letters of Communicable Disease Patients
Kirbiyik, UzayKirbiyik, UzayShah, HassanShah, HassanLai, Patrick TLai, Patrick TWilliams, Jennifer LWilliams, Jennifer LDixon, Brian EDixon, Brian EGrannis, Shaun and Grannis, Shaun
Online Journal of Public Health Informatics, vol. 7, (no. 1), 2015-02-26. | Journal Article
 
Return to Public Health- Undeliverable letters of Communicable Disease Patients
U, KirbiyikH, ShahP, LaiJ, WilliamsB, Dixon and S, Grannis
2014
A Bayesian spatio–temporal approach for real–time detection of disease outbreaks: a case study
Zou, JianZou, JianKarr, AlanKarr, Alan FDatta, GauriDatta, GauriLynch, JamesLynch, JamesGrannis, Shaun and Grannis, Shaun
BMC medical informatics and decision making, vol. 14, (no. 1), pp. 108, 2014-Dec-05. | Journal Article
 
An Evaluation of Two Methods for Generating Synthetic HL7 Segments Reflecting Real-World Health Information Exchange Transactions
Mwogi, Thomas SMwogi, Thomas SBiondich, Paul GBiondich, Paul GGrannis, Shaun J and Grannis, Shaun J
AMIA ... Annual Symposium proceedings. AMIA Symposium, vol. 2014, pp. 1863, 2014-00-00. | Journal Article
 
An Evaluation of Two Methods for Generating Synthetic HL7 Segments Reflecting Real-World Health Information Exchange Transactions.
TS, MwogiPG, Biondich and SJ, Grannis
 
A Ride in the Time Machine: Information Management Capabilities Health Departments Will Need
Foldy, SethGrannis, ShaunRoss, David and Smith, Torney
American journal of public health, vol. 104, (no. 9), pp. 1600, 2014-Sep. | Journal Article
 
Clinical Versus Public Health Perceptions of Notifiable Disease Reporting Burden
Revere, DebraRevere, DebraHills, RebeccaHills, RebeccaGrannis, Shaun JGrannis, Shaun JDixon, Brian E and Dixon, Brian E
Online Journal of Public Health Informatics, vol. 6, (no. 1), 2014-03-09. | Journal Article
 
Clinical Versus Public Health Perceptions of Notifiable Disease Reporting Burden
D, RevereR, HillsS, Grannis and B, Dixon