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Ophthalmic Data & Database

Ophthalmic data & Databse

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Ophthalmic Data & Database

Dr. Georgios A Kounis G&N Medical Solutions GreeceOphthalmic Data & Database

Acquiring Ophthalmic DataAcquiring data in ophthalmology might be for:Statistical analysis to publish studyCheck patients in everyday practiceCheck patients postoperatively after refractive or other ophthalmic surgery operations in order to supportSafetyEfficacyPredictabilityStability

Problems encountered after data acquisitions. Validity problems.As most data analyst are aware data need a lot of work before they proper result come out of a proper statistical analysis.Data are acquired by doctors or nurses during the every day practice, usually during the examinationCommon problems occur when the person is typing instead of selecting data from data pools which have specific valuesPar example 1.50 Diopters becomes easily 15.0 Diopters-0.08 of LogMAR visual acuity might become 0.08 or 0.8Dates field misplaced or miswrittenAll the above create massive problems during analysisImportance of data validity in statistical analysisThe most common analysis is the distribution diagram.It helps to estimate outliner(data outside normal incidences)It allows to estimate if the data are following a normal distribution in order to follow the proper decision making for parametric or non parametric analysis.Importance of data validity in statistical analysisOn the right upper side we may see a 7% possible outliers between -8 and -9 dioptersOn the right down side by substituting a -3.75 to -37.5 we may see the problems.If our data are only 20 then easily we find the problemsImagine a common set of 30 patients with 2 eyes and 1, 3, 6 and12 months postop for 240 entries

Importance of data validity in statistical analysisImagine a column with 240 entries of dioptric power numbers.Try to imagine yourself searching for the problems in the dataA simple user might not ever know how to search (sorting) his data before deliver them to a data analyst.The analyst ask to be compensated for analyzing the data and this compensation is relevant to the time he will spend to analyze the data and export the results.If the data have to validated the time to be consumed is multiplied so the expenses for a study is increasing respectively. G&N Medical Solutions A simple solution.G&N Medical Solutions, founded 2011, with main activity the study and statistical analysis of data collected in medicine, with presentation of results in a clear and understandable to clinician or scientist involved in the research. The company provides consulting services to those wishing to implement studies and deem it necessary to have as many as possible documented results through studies of statistical power. Our company is also active in the import and sale of medical ophthalmic instruments, for use in any area of microsurgery the eye through cooperation concluded with great company external operating globally.G&N Medical Solutions A simple solution.In order to support in the best way results an data analysis G&N produced a simple database which runs on Microsoft Excel.This database presents a lot of important advantages in respect to the various software around marketSimple use as it need only Microsoft office ExcelValidation of all numerical data by dropdown menus with specific valuesStatistical analysis of results on demand (please refer below on statistical analysis features)User form for enter data and search for existing patients with printing of basic entries , using thus the system like simplified patient electronic folderG&N Medical Solutions A simple solution.Use (with specific data entries) in areas of research as:Refractive surgery (Lasik, PRK , Femto ,MMC)Keratoconus and CXLAstigmatic incisions and IOL/ICL angle of error calculationCataractic results (dioptric error, induced astigmatism)

G&N Medical Solutions A simple solution. Data to be acquired and analyzedName, age , eye(dom or non dom), Pachymetry, IOP, Endothelial cell countPreop sphere, cylinder and axis in manifest, cyclo and autorefraction, keratometrics, keratoconus classification based on Krumeich et al. , Wavefront, CDVA, UDVA, in 6/6 or 20/20 or logMAR, Binocular UDVA, CNVA, CIVA, UNVA, UIVAAttempted sph, cyl ,axis, op date, op type, fempto dta for flap, flap pachymetry, operation depth, mmc time, OZ, TZ, various surgeons, intra complications.In postoperative all data referred above in preoperative plus enhancements, and postop complicationsPostoperative period in days and monthsG&N Medical Solutions A simple solution. Data Statistical analysisAnalysis on preop, attempted and postop for acquiring Desired postop, Prediction Error, Actual surgical refractive changes according [3]Vector and multivariate analysis for acquiring prediction error(F matrices, M0, J45, J0, Blur Fourier analysis [5,6,7]Astigmatism analysis according to Alpins method with DIRC, SIRC, CI, ME, DV, IOS, FE and percentage of success indices and DAVD.[1,4]Presentation of refractive results according to the JCRS six diagram of predictability, stability and safety[8].Detailed analysis and presentation of cumulative data according to operation type, age, sex, dioptric power etc.Who is in need of such software?Scientific StudiesAre you interested in:Validated DataLow Analysis CostReduced Analysis TimeHigh Quality DataPerfect Composed StudyYESSuccessClinical results ScreeningsNOValidated DataReduced data entry timeEasy accessSafety, efficacy and predictability results help to grow happy client list and create newYESSmall every day practice clinicNOElectronic Patient FolderLow cost DatabaseEasy Use as in every Microsoft softwareYESSoftware Screenshots

ReferencesAlpins N. Analysis of aggregate surgically induced refractive change, prediction error, and intraocular astigmatism. J Refract Surg. 2001 Nov-Dec;17(6):705-7.Naeser K, Hjortdal J. Polar value analysis of refractive data. J Cataract Refract Surg. 2001 Jan;27(1):86-94.Holladay JT, Moran JR, Kezirian GM. Analysis of aggregate surgically induced refractive change, prediction error, and intraocular astigmatism. J Cataract Refract Surg. 2001 Jan;27(1):61-79. Alpins N. Astigmatism analysis by the Alpins method. J Cataract Refract Surg. 2001 Jan;27(1):31-49. Kaye SB, Harris WF. Analyzing refractive data. J Cataract Refract Surg. 2002 Dec;28(12):2109-16. Naeser K, Hjortdal J. Multivariate analysis of refractive data: mathematics and statistics of spherocylinders. J Cataract Refract Surg. 2001 Jan;27(1):129-42. Harris WF. Analysis of astigmatism in anterior segment surgery. J Cataract Refract Surg. 2001 Jan;27(1):107-28. Thibos LN, Wheeler W, Horner D. Power vectors: an application of Fourier analysis to the description and statistical analysis of refractive error. Optom Vis Sci. 1997 Jun;74(6):367-75. Review. Graphic reporting of outcomes of refractive surgery. Reinstein DZ, Waring GO 3rd. J Refract Surg. 2009 Nov;25(11):975-8.