Implementation of Disease Prediction and Drug Recommendation

2019 ◽  
Vol 16 (8) ◽  
pp. 3300-3303
Author(s):  
G. Likhithaa ◽  
T. Renuka ◽  
A. Christy

Medication errors are one of the major problems mostly seen in the hospitals. Manual prescription of medicine is difficult now days, so electronic prescription came into form. It is the alternative to the current method of manually prescription in hospitals. This paper introduces a simple and easy classification technique that can be used to prescribe drugs according to the symptom parameters and if higher rate of symptoms exist then a better hospital for the treatment is suggested for the patient. It has many benefits for those who prescribe and dispense the medicines, and also for maintenance of medical records. The complexity of the usage of medications has increased enormously. Due to the higher demand it can lead to a greater risk of errors. Hence the usage of E-prescribing has been developed out of it with less error rate. It provides better and more reliable information about the patient’s medication. It saves staff time and improves the availability of patient information when needed. It also reduces the time spent by rewriting the charts of prescription etc.

Author(s):  
Cris Renata Grou Volpe ◽  
Eveline Maria Magalhães de Melo ◽  
Lucas Barbosa de Aguiar ◽  
Diana Lúcia Moura Pinho ◽  
Marina Morato Stival

ABSTRACT Objective: to compare electronic and manual prescriptions of a public hospital of Brasilia, identifying risk factors for the occurrence of medication errors. Method: descriptive-exploratory, comparative and retrospective study. Data collection occurred from July 2012 to January 2013, using an instrument for the review of the information contained in medical records related to the medication process. A total of 190 manual and 199 electronic records composed the sample, with 2027 prescriptions each. Results: compared to the manual prescription, a significant reduction was observed in the risk factors after implantation of the electronic prescription, in items such as "lack of the form of dilution" (71.1% to 22.3%) and "prescription with brand name" (99.5% to 31.5%). Conversely, the risk factors "no check" and "lack of CRM of the prescriber" increased. The lack of the allergy registration and the occurrences related to medication were the same for both groups. Conclusion: generally, the use of the electronic prescription system was associated with a significant reduction in risk factors for medication errors, concerning the following aspects: illegibility, prescription with brand name and presence of essential items that provide a safe and effective prescription.


2016 ◽  
Vol 25 (4) ◽  
Author(s):  
Maristela Monteschi Souta ◽  
Paulo Celso Prado Telles Filho ◽  
Kelly Graziani Giacchero Vedana ◽  
Luiz Jorge Pedrão ◽  
Adriana Inocenti Miasso

ABSTRACT This study analyzed the medication systems in psychiatric units of a general hospital and a psychiatric hospital in the state of São Paulo, Brazil. It is a quantitative and cross-sectional, exploratory survey study with 144 professionals from the areas of medication, nursing and pharmacy. Data were collected by direct, non-participative observation and by medical records review. Data were analyzed using descriptive statistics. Factors that affect patient safety, such as interruptions during prescription, handwritten changes to electronic prescriptions, limited handling of the electronic prescription system, unavailable clinical pharmacy, mistakes in activities related to the preparation and administration of medications and other factors were identified. The study reveals the susceptible points for the occurrence of medication errors in psychiatric hospitalization departments and discusses recommendations and technological resources that can promote security in the medication system.


2021 ◽  
Vol 3 (2) ◽  
pp. 438-446

Introduction: Medication errors (MEs) are considered preventable errors that may occur frequently during the treatment process with or without patient harm in addition to their economic consequence. MEs occur during prescribing, dose calculation, dispensing, or administration of medicine which could be made by any healthcare professional as a physician, pharmacist or nurse, or by the patient himself. Objective: To detect and report MEs in pediatric inpatients’ medical records and potentially preventing these MEs by making recommendations/suggestions for healthcare professionals about the proper action needed to be taken. Methods: This was a prospective observational study, in which the medical records of admitted pediatric patients to Ibn Al-Atheer Teaching Hospital, Nineveh were reviewed to detect, report, and prevent MEs between the 1st of January and the 30th of June 2019. Results: Out of 6964 medical records reviewed by clinical pharmacists during the study period, 119 MEs were reported to healthcare professionals and prevented. 83% of detected MEs were dosing errors. The results of the Chi-square analysis showed that the highest percentage of dosing errors were associated with antibiotics (p=0.0493). Furthermore, the results of Chi-square analysis showed that the highest percentage of dosing errors were seen in infants and toddlers (p=0.011). Conclusion: This study highlighted the role of clinical pharmacists in recognizing, reporting and preventing MEs which are still occurring in every medical setting. Dosing errors were the most commonly occurring errors and antibiotics were the most frequent group of medicines involved in MEs.


2018 ◽  
Vol 103 (2) ◽  
pp. e2.12-e2
Author(s):  
Moninne Howlett

AimsHealth information technology (HIT) is increasingly being promoted as a medication error reduction strategy. Electronic prescribing and smart-pump technology are examples of HIT widely advocated in the hospital setting. In critical care, the risks associated with paediatric infusions have been specifically addressed with calls for the use of standard concentration infusions (SCIs) in conjunction with smart-pump technology. Evidence on the benefits of HIT in the paediatric setting remains limited. This study aims to assess the impact of both electronic prescribing and a smart-pump drug library of SCIs on medication errors in paediatric critical care.MethodsA retrospective, observational study based on an interrupted time series design was conducted in the 23-bed paediatric intensive care unit (PICU) of a tertiary children’s hospital. 3400 randomly selected medication orders were reviewed over 4 epochs: pre-implementation of either technology (Epoch 1); post-implementation of SCIs (Epoch 2); immediate post-implementation of electronic prescribing (Epoch 3); and 1 year post-implementation of both (Epoch 4). Orders prescribed during the study period were included provided they had undergone clinical pharmacy review. Intravenous fluids, epidural/regional blocks, total parental nutrition, chemotherapy and patient/nurse controlled analgesia were excluded. Medication error rates were calculated applying pre-specified definitions and inclusion criteria.1 Novel technology-generated errors were identified and defined using a modified Delphi process. Errors were graded for severity using a combination of two validated grading tools.2,3ResultsOverall medication error rate based on all orders were similar in Epoch 1 and 4 (10.2% vs 9.7%; p=0.66). Altered error distribution was however evident. Incomplete and wrong unit errors were eradicated, but duplicate orders increased. Dosing errors remained the most common. 77% of pre-implementation errors were considered likely to be removed by the new technology. 24% of post-implementation errors were considered to be novel technology-generated errors. Examples included incorrect formulation selection and errors on altered electronic orders. In Epoch 2, the implementation of SCIs prior to electronic prescribing significantly reduced infusion-related prescribing errors (31.4% to 12.6%; p<0.01). An infusion error rate of 7.9% was reported post-implementation of electronically-generated standard infusion orders in Epoch 4.ConclusionThe overall medication error rate in PICU was largely unchanged by the introduction of electronic prescribing. Some errors disappeared but new errors directly attributable to the implemented technologies emerged. In the complex PICU environment, dosing errors remain common. A significant reduction in infusion-related errors was found as a consequence of the introduction of SCIs and smart-pump technology. The introduction of electronically-generated standard infusion orders brought further benefits. The results of this study show that the benefits of HIT in the paediatric setting cannot be assumed and highlight the need for further studies with increasing use of HIT in paediatric settings.ReferencesGhaleb MA, Barber N, Dean Franklin B, et al. What constitutes a prescribing error in paediatrics?BMJ Qual Saf2005;14(5):352–7.Dean BS, Barber ND. A validated, reliable method of scoring the severity of medication errors. Am J Health Syst Pharm1999;56(1):57–62.National Coordinating Council for Medication Error Reporting and Prevention. Taxonomy of medication errors1998. http://www.nccmerp.org/about-medication-errors


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Kaveh Eslami ◽  
Fateme Aletayeb ◽  
Seyyed Mohammad Hassan Aletayeb ◽  
Leila Kouti ◽  
Amir Kamal Hardani

Abstract Background This study aimed to assess the types and frequency of medication errors in our NICUs (neonatal intensive care units). Methods This descriptive cross-sectional study was conducted on two neonatal intensive care units of two hospitals over 3 months. Demographic information, drug information and total number of prescriptions for each neonate were extracted from medical records and assessed. Results A total of 688 prescriptions for 44 types of drugs were checked for the assessment of medical records of 155 neonates. There were 509 medication errors, averaging (SD) 3.38 (+/− 5.49) errors per patient. Collectively, 116 neonates (74.8%) experienced at least one medication error. Term neonates and preterm neonates experienced 125 and 384 medication errors, respectively. The most frequent medication errors were wrong dosage by physicians in prescription phase [WU1] (142 errors; 28%) and not administering medication by nurse in administration phase (146 errors; 29%). Of total 688 prescriptions, 127 errors were recorded. In this regard, lack of time and/or date of order were the most common errors. Conclusions The most frequent medication errors were wrong dosage and not administering the medication to patient, and on the quality of prescribing, lack of time and/or date of order was the most frequent one. Medication errors happened more frequently in preterm neonates (P < 0.001). We think that using computerized physician order entry (CPOE) system and increasing the nurse-to-patient ratio can reduce the possibility of medication errors.


2019 ◽  
Vol 10 (2) ◽  
pp. 44-62
Author(s):  
Judith Jumig Azcarraga ◽  
John Zachary Raduban ◽  
Ma. Christine Gendrano ◽  
Arnulfo P. Azcarraga

Tele-medicine systems run the risk of unauthorized access to medical records, and there is greater possibility for the unlawful sharing of sensitive patient information, including children, and possibly showing their private parts. Aside from violating their right to privacy, such practices discourage patients from subjecting themselves to tele-medicine. The authors thus present an automatic identity concealment system for pictures, the way it is designed in the GetBetter tele-medicine system developed under a WHO/TDR grant. Based on open-source face- and eye-detection algorithms, identity concealment is executed by blurring the eye region of a detected face using pixel shuffling. This method is shown to be not only effective in concealing the identity of the patient, but also in preserving the exact distribution of pixel values in the image. This is useful when subsequent image processing techniques are employed, such as when identifying the type of lesions based on images of the skin.


2013 ◽  
Vol 21 (1) ◽  
pp. 29-33 ◽  
Author(s):  
Manuel Vélez-Díaz-Pallarés ◽  
Margarita Ruano ◽  
Elena Villamañán ◽  
Yolanda Larrubia ◽  
Erica Wagner ◽  
...  

2011 ◽  
Vol 24 (5) ◽  
pp. 480-484
Author(s):  
Nancy L. Borja-Hart ◽  
Maria Maniscalco-Feichtl

Objective: To identify whether community pharmacies are collecting the minimum patient information mandated by the Omnibus Budget Reconciliation Act of 1990 (OBRA’90), and to create an intake form that meets and exceeds these requirements. Methods: Chain, mass merchandiser, supermarket, and wholesale pharmacies located within the state of Florida were eligible for selection. Only 1 pharmacy was selected from each company. The research assistant asked the pharmacy employee to describe all information requested from a patient who is bringing in a prescription for the first time and/ or provide a blank copy of their existing patient intake form. Patient intake information forms were collected between July 2008 and February 2009. Results: Of the 10 pharmacies included in this study (3 supermarkets, 3 mass merchandisers, 2 wholesale pharmacies, and 2 chain pharmacies), 40% of the studied pharmacies collected information on patient medications. All pharmacies collected at least 6 information requirements. Only 1 pharmacy was compliant with OBRA’90 requirements evaluated. Conclusion: By obtaining this information providers are in a better position to assist with avoiding medication errors and to help with the medical reconciliation process in health systems.


Sign in / Sign up

Export Citation Format

Share Document