The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Dominique Doupa - One of the best experts on this subject based on the ideXlab platform.
-
simens lis4sc a Laboratory Information System for biological tests of sickle cell screening and healthcare
Studies in health technology and informatics, 2019Co-Authors: Al Hassim Diallo, Gaoussou Camara, Jean Baptiste Lamy, I Diagne, Demba Makalou, Mamadou Diop, Dominique DoupaAbstract:Neonatal screening and ongoing follow-up of children with sickle cell disease are essential to reduce the mortality caused by this disease. To ensure care continuity, it is essential to include in the patient's record the history and details of biological tests. Thus, it is necessary to provide a Laboratory Information System for electronic management of biological test prescription and results, and the Laboratory System must integrate well with Health Information Systems. In this paper, we propose a Laboratory Information System for the management of biological tests for the neonatal screening and healthcare of sickle cell disease in Senegal.
-
MedInfo - SIMENS-LIS4SC, a Laboratory Information System for Biological Tests of Sickle Cell Screening and Healthcare.
Studies in health technology and informatics, 2019Co-Authors: Al Hassim Diallo, Gaoussou Camara, Jean Baptiste Lamy, I Diagne, Demba Makalou, Mamadou Diop, Dominique DoupaAbstract:Neonatal screening and ongoing follow-up of children with sickle cell disease are essential to reduce the mortality caused by this disease. To ensure care continuity, it is essential to include in the patient's record the history and details of biological tests. Thus, it is necessary to provide a Laboratory Information System for electronic management of biological test prescription and results, and the Laboratory System must integrate well with Health Information Systems. In this paper, we propose a Laboratory Information System for the management of biological tests for the neonatal screening and healthcare of sickle cell disease in Senegal.
Joaquin A Blaya - One of the best experts on this subject based on the ideXlab platform.
-
reducing communication delays and improving quality of care with a tuberculosis Laboratory Information System in resource poor environments a cluster randomized controlled trial
PLOS ONE, 2014Co-Authors: Joaquin A Blaya, Sonya Shin, Martin Yagui, Carmen Contreras, Peter Cegielski, Gloria Yale, Carmen Suarez, Luis Asencios, Jaime Bayona, Jihoon KimAbstract:Background Lost, delayed or incorrect Laboratory results are associated with delays in initiating treatment. Delays in treatment for Multi-Drug Resistant Tuberculosis (MDR-TB) can worsen patient outcomes and increase transmission. The objective of this study was to evaluate the impact of a Laboratory Information System in reducing delays and the time for MDR-TB patients to culture convert (stop transmitting). Methods Setting: 78 primary Health Centers (HCs) in Lima, Peru. Participants lived within the catchment area of participating HCs and had at least one MDR-TB risk factor. The study design was a cluster randomized controlled trial with baseline data. The intervention was the e-Chasqui web-based Laboratory Information System. Main outcome measures were: times to communicate a result; to start or change a patient's treatment; and for that patient to culture convert. Results 1671 patients were enrolled. Intervention HCs took significantly less time to receive drug susceptibility test (DST) (median 11 vs. 17 days, Hazard Ratio 0.67 [0.62–0.72]) and culture (5 vs. 8 days, 0.68 [0.65–0.72]) results. The time to treatment was not significantly different, but patients in intervention HCs took 16 days (20%) less time to culture convert (p = 0.047). Conclusions The eChasqui System reduced the time to communicate results between laboratories and HCs and time to culture conversion. It is now used in over 259 HCs covering 4.1 million people. This is the first randomized controlled trial of a Laboratory Information System in a developing country for any disease and the only study worldwide to show clinical impact of such a System. Trial Registration ClinicalTrials.gov NCT01201941
-
a web based Laboratory Information System to improve quality of care of tuberculosis patients in peru functional requirements implementation and usage statistics
BMC Medical Informatics and Decision Making, 2007Co-Authors: Joaquin A Blaya, Sonya Shin, Martin Yagui, Gloria Yale, Carmen Suarez, Luis Asencios, Peter J Cegielski, Hamish S F FraserAbstract:Background Multi-drug resistant tuberculosis patients in resource-poor settings experience large delays in starting appropriate treatment and may not be monitored appropriately due to an overburdened Laboratory System, delays in communication of results, and missing or error-prone Laboratory data. The objective of this paper is to describe an electronic Laboratory Information System implemented to alleviate these problems and its expanding use by the Peruvian public sector, as well as examine the broader issues of implementing such Systems in resource-poor settings.
David W Bates - One of the best experts on this subject based on the ideXlab platform.
-
top ten challenges when interfacing a Laboratory Information System to an electronic health record experience at a large academic medical center
International Journal of Medical Informatics, 2017Co-Authors: Athena K Petrides, Ellen M Goonan, David W Bates, Adam B Landman, Milenko J Tanasijevic, Michalis KantartjisAbstract:Abstract Background Recent U.S. government regulations incentivize implementation of an electronic health record (EHR) with computerized order entry and structured results display. Many institutions have also chosen to interface their EHR to their Laboratory Information System (LIS). Reported long-term benefits include increased efficiency and improved quality and safety. In order to successfully implement an interfaced EHR-LIS, institutions must plan years in advance and anticipate the impact of an integrated System. It can be challenging to fully understand the technical, workflow and resource aspects and adequately prepare for a potentially protracted System implementation and the subsequent stabilization. Objectives We describe the top ten challenges that we encountered in our clinical laboratories following the implementation of an interfaced EHR-LIS and offer suggestions on how to overcome these challenges. Methods This study was performed at a 777-bed, tertiary care center which recently implemented an interfaced EHR-LIS. Challenges were recorded during EHR-LIS implementation and stabilization and the authors describe the top ten. Results Our top ten challenges were selection and harmonization of test codes, detailed training for providers on test ordering, communication with EHR provider champions during the build process, fluid orders and collections, supporting specialized workflows, sufficient reports and metrics, increased volume of inpatient venipunctures, adequate resources during stabilization, unanticipated changes to Laboratory workflow and ordering specimens for anatomic pathology. A few suggestions to overcome these challenges include regular meetings with clinical champions, advanced considerations of reports and metrics that will be needed, adequate training of Laboratory staff on new workflows in the EHR and defining all tests including anatomic pathology in the LIS. Conclusion EHR-LIS implementations have many challenges requiring institutions to adapt and develop new infrastructures. This article should be helpful to other institutions facing or undergoing a similar endeavor.
-
the benefits and challenges of an interfaced electronic health record and Laboratory Information System effects on Laboratory processes
Archives of Pathology & Laboratory Medicine, 2017Co-Authors: Athena K Petrides, Ida Bixho, Ellen M Goonan, David W Bates, Shimon Shaykevich, Stuart R Lipsitz, Adam B Landman, Milenko J Tanasijevic, Stacy E F MelansonAbstract:Context.— A recent government regulation incentivizes implementation of an electronic health record (EHR) with computerized order entry and structured results display. Many institutions have also chosen to interface their EHR with their Laboratory Information System (LIS). Objective.— To determine the impact of an interfaced EHR-LIS on Laboratory processes. Design.— We analyzed several different processes before and after implementation of an interfaced EHR-LIS: the turnaround time, the number of stat specimens received, venipunctures per patient per day, preanalytic errors in phlebotomy, the number of add-on tests using a new electronic process, and the number of wrong test codes ordered. Data were gathered through the LIS and/or EHR. Results.— The turnaround time for potassium and hematocrit decreased significantly (P = .047 and P = .004, respectively). The number of stat orders also decreased significantly, from 40% to 7% for potassium and hematocrit, respectively (P < .001 for both). Even though the a...
Al Hassim Diallo - One of the best experts on this subject based on the ideXlab platform.
-
simens lis4sc a Laboratory Information System for biological tests of sickle cell screening and healthcare
Studies in health technology and informatics, 2019Co-Authors: Al Hassim Diallo, Gaoussou Camara, Jean Baptiste Lamy, I Diagne, Demba Makalou, Mamadou Diop, Dominique DoupaAbstract:Neonatal screening and ongoing follow-up of children with sickle cell disease are essential to reduce the mortality caused by this disease. To ensure care continuity, it is essential to include in the patient's record the history and details of biological tests. Thus, it is necessary to provide a Laboratory Information System for electronic management of biological test prescription and results, and the Laboratory System must integrate well with Health Information Systems. In this paper, we propose a Laboratory Information System for the management of biological tests for the neonatal screening and healthcare of sickle cell disease in Senegal.
-
MedInfo - SIMENS-LIS4SC, a Laboratory Information System for Biological Tests of Sickle Cell Screening and Healthcare.
Studies in health technology and informatics, 2019Co-Authors: Al Hassim Diallo, Gaoussou Camara, Jean Baptiste Lamy, I Diagne, Demba Makalou, Mamadou Diop, Dominique DoupaAbstract:Neonatal screening and ongoing follow-up of children with sickle cell disease are essential to reduce the mortality caused by this disease. To ensure care continuity, it is essential to include in the patient's record the history and details of biological tests. Thus, it is necessary to provide a Laboratory Information System for electronic management of biological test prescription and results, and the Laboratory System must integrate well with Health Information Systems. In this paper, we propose a Laboratory Information System for the management of biological tests for the neonatal screening and healthcare of sickle cell disease in Senegal.
Jihoon Kim - One of the best experts on this subject based on the ideXlab platform.
-
reducing communication delays and improving quality of care with a tuberculosis Laboratory Information System in resource poor environments a cluster randomized controlled trial
PLOS ONE, 2014Co-Authors: Joaquin A Blaya, Sonya Shin, Martin Yagui, Carmen Contreras, Peter Cegielski, Gloria Yale, Carmen Suarez, Luis Asencios, Jaime Bayona, Jihoon KimAbstract:Background Lost, delayed or incorrect Laboratory results are associated with delays in initiating treatment. Delays in treatment for Multi-Drug Resistant Tuberculosis (MDR-TB) can worsen patient outcomes and increase transmission. The objective of this study was to evaluate the impact of a Laboratory Information System in reducing delays and the time for MDR-TB patients to culture convert (stop transmitting). Methods Setting: 78 primary Health Centers (HCs) in Lima, Peru. Participants lived within the catchment area of participating HCs and had at least one MDR-TB risk factor. The study design was a cluster randomized controlled trial with baseline data. The intervention was the e-Chasqui web-based Laboratory Information System. Main outcome measures were: times to communicate a result; to start or change a patient's treatment; and for that patient to culture convert. Results 1671 patients were enrolled. Intervention HCs took significantly less time to receive drug susceptibility test (DST) (median 11 vs. 17 days, Hazard Ratio 0.67 [0.62–0.72]) and culture (5 vs. 8 days, 0.68 [0.65–0.72]) results. The time to treatment was not significantly different, but patients in intervention HCs took 16 days (20%) less time to culture convert (p = 0.047). Conclusions The eChasqui System reduced the time to communicate results between laboratories and HCs and time to culture conversion. It is now used in over 259 HCs covering 4.1 million people. This is the first randomized controlled trial of a Laboratory Information System in a developing country for any disease and the only study worldwide to show clinical impact of such a System. Trial Registration ClinicalTrials.gov NCT01201941
