The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.

BackgroundQuality indicators (QI) for patients with SLE were developed based on the 2019 EULAR recommendations [1]. Measuring quality of care (QOC) may provide recognition of gaps and challenges in clinical practice. Improving QOC may relate to high satisfaction with care. Satisfaction might be considered a valuable indicator to measure the success of provided care. Evidence about the relationship between quality of care and satisfaction perceived by SLE patients is scarce.ObjectivesTo correlate adherence to QIs based on the 2019 EULAR recommendations and satisfaction with care in SLE patients.MethodsWe conducted a cross-sectional and retrospective study in a Lupus Clinic in Northeast Mexico. We included patients at least 18 years old who met the ACR/EULAR 2019 classification criteria for SLE. Consecutive patients were interviewed by the researchers on their last visit to assess the adherence to quality indicators developed by Chavatza et. al., based on 2019 EULAR recommendations. Medical records were revised to assess demographic data, disease activity, treatment, organ involvement, and cumulative damage. Adherence was achieved if the patient met all components of the QI. We calculated adherence as the number of fulfilled patients divided by the number of eligible patients per indicator. Satisfaction with care was evaluated with the satisfaction domain of the LupusPRO 1.7 version. The distribution was assessed with Kolmogorov-Smirnov. The Spearman correlation coefficient was obtained to determine the relationship between quality of care and satisfaction with care.ResultsSeventy patients were included with a median age of 33 (IQR, 23-48), and 90% were female. Global adherence to the 18-QIs and Satisfaction with Care score revealed no correlation using the Spearman correlation coefficient (r = 0.064, p= 0.599). Overall adherence was 62.29%. The median satisfaction with care was 100. The results of each indicator are shown in Table 1.ConclusionIn conclusion, we did not find a correlation between satisfaction with care and QOC. The areas of quality of care that performed the lowest were the measurement of the SLEDAI-2K and the SLICC/ ACR damage index, which was an area of opportunity for improvement.References[1]Chavatza, K., et al.,Quality indicators for systemic lupus erythematosus based on the 2019 EULAR recommendations: development and initial validation in a cohort of 220 patients.Ann Rheum Dis, 2021.80(9): p. 1175-1182.Table 1.Adherence to quality indicatorsIndicatorEligible patients n (%)Fulfilled n (%)1.Laboratory test70 (100)68 (97)2.LN follow-up65 (92.9)45 (69.2)3.Kidney biopsy32 (45.7)27 (84.3)4.CVD risk stratification70 (100)47 (67.1)5.Osteoporosis evaluation58 (82.9)20 (34.4)6.Hydroxychloroquine monitoring62​ (88.5)29 (46.7)7.Tapering prednisone46 (65)18​ (38.2)8.Immunosuppressants in LN30​ (42.9)26​ (86.6)9.ACE inhibitors or ARB in LN27​ (38.5)19​ (70.3)10.Low-dose aspirin in pregnancy2​ (100)2​ (100)11.SLEDAI evaluation70​ (100)8​ (11.4)12.Annual SLICC damage index evaluation70​ (100)17​ (24.2)13.Treat to achieve LDA or remission70​ (100)50​ (71.4)14.Drug toxicity monitoring70​ (100)68​ (97.1)15.Photoprotection70​ (100)60​ (85.7)16.Vaccination70​ (100)49​ (70)17.Fertility counseling41​ (58.6)27​ (68.5)18.Pregnancy counseling29​ (41.4)13​ (44.8)Global adherence952593 (62.29)Adapted from Chavatza et al. (2021)LN, lupus nephritis; CVD, cardiovascular; ACE, angiotensin-converting enzyme; ARB, angiotensin II receptor blockers; LDA, low disease activityAcknowledgements:NIL.Disclosure of InterestsNone Declared.