Mona Choubey1, Hrishikesh Mishra2, Khushboo Soni3, Pradeep Kumar Patra4. 1. Scientist-I, Bioinformatics Centre, Department of Biochemistry, Pt. Jawaharlal Nehru Memorial Medical College , Raipur, C.G., India . 2. Scientist in Bioinformatics, Department of Bioinformatics and Biostatistics, Research Division, Sickle Cell Institute , Chhattisgarh, Raipur, C.G., India . 3. Research Assistant, Bioinformatics Centre, Department of Biochemistry, Pt. Jawaharlal Nehru Memorial Medical College , Raipur, Raipur, C.G., India . 4. Director Prefessor and Head, Department of Biochemistry, Pt. J.N.M. Medical College , Raipur, C.G., India. Director General, Sickle Cell Institute Chhattisgarh, Raipur, C.G., India .
Abstract
INTRODUCTION: Sickle cell disease (SCD) is prevalent in central India including Chhattisgarh. Screening for SCD is being carried out by Government of Chhattisgarh. Electronic Medical Record (EMR) system was developed and implemented in two phases. AIM: Aim was to use informatics techniques and indigenously develop EMR system to improve the care of SCD patients in Chhattisgarh. EMR systems had to be developed to store and manage: i) huge data generated through state wide screening for SCD; ii) clinical data for SCD patients attending the outpatient department (OPD) of institute. MATERIALS AND METHODS: 'State Wide Screening Data Interface' (SWSDI) was designed and implemented for storing and managing data generated through screening program. Further, 'Sickle Cell Patients Temporal Data Management System' (SCPTDMS) was developed and implemented for storing, managing and analysing sickle cell disease patients' data at OPD. Both systems were developed using VB.Net and MS SQL Server 2012. RESULTS: Till April 2015, SWSDI has data of 1294558 persons, out of which 121819 and 4087 persons are carriers and patients of sickle cell disease respectively. Similarly till June 2015, SCPTDMS has data of 3760 persons, of which 923 are sickle cell disease patients (SS) and 1355 are sickle cell carriers (AS). CONCLUSION: Both systems are proving to be useful in efficient storage, management and analysis of data for clinical and research purposes. The systems are an example of beneficial usage of medical informatics solutions for managing large data at community level.
INTRODUCTION:Sickle cell disease (SCD) is prevalent in central India including Chhattisgarh. Screening for SCD is being carried out by Government of Chhattisgarh. Electronic Medical Record (EMR) system was developed and implemented in two phases. AIM: Aim was to use informatics techniques and indigenously develop EMR system to improve the care of SCDpatients in Chhattisgarh. EMR systems had to be developed to store and manage: i) huge data generated through state wide screening for SCD; ii) clinical data for SCDpatients attending the outpatient department (OPD) of institute. MATERIALS AND METHODS: 'State Wide Screening Data Interface' (SWSDI) was designed and implemented for storing and managing data generated through screening program. Further, 'Sickle Cell Patients Temporal Data Management System' (SCPTDMS) was developed and implemented for storing, managing and analysing sickle cell diseasepatients' data at OPD. Both systems were developed using VB.Net and MS SQL Server 2012. RESULTS: Till April 2015, SWSDI has data of 1294558 persons, out of which 121819 and 4087 persons are carriers and patients of sickle cell disease respectively. Similarly till June 2015, SCPTDMS has data of 3760 persons, of which 923 are sickle cell diseasepatients (SS) and 1355 are sickle cell carriers (AS). CONCLUSION: Both systems are proving to be useful in efficient storage, management and analysis of data for clinical and research purposes. The systems are an example of beneficial usage of medical informatics solutions for managing large data at community level.
Entities:
Keywords:
Community level screening; Electronic medical records; Sickle cell disease; Temporal data
Authors: Barbara P Yawn; George R Buchanan; Araba N Afenyi-Annan; Samir K Ballas; Kathryn L Hassell; Andra H James; Lanetta Jordan; Sophie M Lanzkron; Richard Lottenberg; William J Savage; Paula J Tanabe; Russell E Ware; M Hassan Murad; Jonathan C Goldsmith; Eduardo Ortiz; Robinson Fulwood; Ann Horton; Joylene John-Sowah Journal: JAMA Date: 2014-09-10 Impact factor: 56.272