Improving Pharmaceutical Care through the Use of Intelligent Pharmacoinformatics

2016 ◽  
pp. 167-188
Author(s):  
Tagelsir Mohamed Gasmelseid
Keyword(s):  
Decision Support ◽  
Pharmaceutical Care ◽  
Process Model ◽  
Data Capture ◽  
Drug Related Problems ◽  
Drug Reactions ◽  
Healthcare Organizations ◽  
Multi Agent ◽  
Monitoring Module ◽  
Clear Description

The expansion of drug-related problems urged healthcare organizations to adopt Pharmacoinformatics to signal, analyze and report Adverse Drug Reactions (ADRs). Data for this study have been compiled from local and international sources such as WHO. The study resulted into the development of an intelligent multi-agent decision support system including a process model, a multi-agent architecture and an integrated data processing model with clear description of agent functionalities. The model reflects three main modules: a data capture and update module, diagnosis module and a pharmaceutical care and drug monitoring module. The study also reflected on the practical and managerial environment of the model and the basic considerations to be taken into account. The study also provided some important recommendations.

scholarly journals Improving Pharmaceutical Care through the Use of Intelligent Pharmacoinformatics

2017 ◽  
pp. 274-296
Author(s):  
Tagelsir Mohamed Gasmelseid
Keyword(s):  
Decision Support ◽  
Pharmaceutical Care ◽  
Process Model ◽  
Data Capture ◽  
Drug Related Problems ◽  
Drug Reactions ◽  
Healthcare Organizations ◽  
Multi Agent ◽  
Monitoring Module ◽  
Clear Description

The expansion of drug-related problems urged healthcare organizations to adopt Pharmacoinformatics to signal, analyze and report Adverse Drug Reactions (ADRs). Data for this study have been compiled from local and international sources such as WHO. The study resulted into the development of an intelligent multi-agent decision support system including a process model, a multi-agent architecture and an integrated data processing model with clear description of agent functionalities. The model reflects three main modules: a data capture and update module, diagnosis module and a pharmaceutical care and drug monitoring module. The study also reflected on the practical and managerial environment of the model and the basic considerations to be taken into account. The study also provided some important recommendations.

A Multi Agent Pharmacoinformatics Reference Model for the Improvement of Hospital Management

2012 ◽  
pp. 187-201
Author(s):  
Tagelsir Mohamed Gasmelseid
Keyword(s):  
Information Systems ◽  
Pharmaceutical Care ◽  
Process Model ◽  
Adverse Drug Events ◽  
Reference Model ◽  
Decision Support Model ◽  
Healthcare Organizations ◽  
Care Services ◽  
Multi Agent ◽  
Monitoring Module

The question of drug and the improvement of pharmaceutical care services is moving to the front line agenda of policy makers in the healthcare system. The expansion of drug-related problems and medical errors motivated healthcare organizations to focus on the adoption of information systems and technologies in pursuit of improving communications, signaling, analyzing, and reporting of adverse drug reactions and facilitating scenario-based interventions. This chapter focuses on the development of a reference pharmacoinformatics model that can be used to improve the quality of pharmaceutical care provided and the management of hospitals. The material used in this chapter was synthesized to document and analyze the main variables that derive the context of pharmaceutical care in local settings. It also benefited from international data managed by international organizations such as WHO and the information systems used to mine data related to adverse drug events at the level of national Pharmacovigilance Centers. The proposed intelligent multi-agent Pharmacoinformatics decision support model included a process model, a multi-agent architecture, and an integrated data processing model with clear description of agent functionalities. The model reflects three main modules: a data capture and update module, diagnosis module, and a pharmaceutical care and drug monitoring module. The chapter also reflects on the practical and managerial environment of the model and the basic considerations to be taken into account.

Drug Usage Evaluation

1994 ◽  
Vol 7 (2) ◽  
pp. 74-78
Author(s):  
Cathleen M. Sass
Keyword(s):  
Pharmaceutical Care ◽  
Adverse Drug Reactions ◽  
Study Design ◽  
Drug Reactions ◽  
Healthcare Organizations ◽  
Pharmacy Staff ◽  
Drug Usage ◽  
Study Selection ◽  
Usage Evaluation ◽  
Positive Focus

Drug usage evaluation (DUE) is a component of the Joint Commission on Accreditation of Healthcare Organizations guidelines for hospitals. If DUE is viewed with a positive focus rather than as simply a mandatory function, it can readily be exploited to benefit the institution. Study selection should be of practical use to the institution and study design should be as uncomplicated as possible. DUE may then be used to identify adverse drug reactions (ADRs), increase pharmacy staff, contain costs, and implement pharmaceutical care.

Pharmacoinformatics

2012 ◽  
pp. 1-11
Author(s):  
Tagelsir Mohamed Gasmelseid
Keyword(s):  
Information System ◽  
Patient Safety ◽  
Decision Support ◽  
Pharmaceutical Care ◽  
Patient Outcomes ◽  
Decision Support Tools ◽  
Healthcare Organizations ◽  
Support Tools ◽  
Limited Scale ◽  
Pharmaceutical Processes

Healthcare organizations are facing serious internal and external challenges that affect their ability to provide quality pharmaceutical care and maintain patient safety. The dynamics of such challenges are affecting pharmaceutical processes, organizational and operating efficiencies, and patient outcomes. Pharmacoinformatics has been used as a term to reflect upon the use of information system technologies in the improvement of pharmaceutical care. However, despite its growing importance, it has been deployed in a limited scale. This chapter sheds light on the context of pharmacoinformatics, its conceptualization within the domain of decision support tools, and its role in the improvement of pharmaceutical care.

IDENTIFIKASI DRUG RELATED PROBLEMS PADA PASIEN AUTIS DI RUMAH SAKIT X KOTA YOGYAKARTA

2019 ◽  
pp. 30-40
Author(s):  
Ruri Renggani Sandra ◽  
Della Midi Wardhani ◽  
Woro Supadmi
Keyword(s):  
Autism Spectrum Disorders ◽  
Drug Interaction ◽  
Related Problem ◽  
Drug Information ◽  
Autism Spectrum ◽  
Drug Related Problems ◽  
Drug Reactions ◽  
Drug Related Problem ◽  
Spectrum Disorders ◽  
Drugs Interaction

   Autism spectrum disorders (ASD) adalah gangguan perkembangan saraf dengan penyebab yang kompleks dari banyak fakor Penggunaan obat pada pasien autis harus dimonitoring untuk mencegah terjadinya drug related problems. Intervensi farmasis dengan mengidentifikasi kejadian drug related problem adalah kegiatan pelayanan asuhan kefarmasian untuk meningkatkan keberhasilan terapi. Penelitian ini adalah observasional dengan pengumpulan data secara retrospektif berdasarkan data rekam medik. Evaluasi kejadian drug related problems meliputi indikasi yang tidak diterapi, terapi tanpa indikasi, pemilihan obat yang tidak tepat, overdosis, under dosis, adverse drug reactions dan interaksi obat. Literatur yang digunakan sebagai acuan adalah Drug Information Handbook, 18thed, Stockley Drug Interaction, Drugs Interaction Facts 2001, dan Pharmacotherapy A Pathophysiologic Approach 2005 dan jurnal yang relevan.   Hasil penelitian diperoleh pasien dengan jenis kelamin laki-laki 20 pasien (77%), perempuan 6 pasien (23%). Usia antara 6-11 tahun yaitu 15 pasien (58%), 1-5 tahun terdapat 9 pasien (34%), usia <1 tahun dan 12-17 tahun masing-masing sebanyak 1 pasien (4%). Penyakit penyerta ISPA merupakan kasus yang paling banyak terjadi, terbanyak kedua adalah epilepsi dan gastroenteritis akut (GEA). Kejadian DRPs Indikasi tidak diterapi 9%, Terapi tanpa indikasi 9%, Pemilihan obat tidak tepat 9%, Over dosis 31%, Under dosis 33% dan interaksi obat 9%.   Terdapat 24 pasien ( 92,3%) yang mengalami DRPs potensial dan 2 pasien (7,7%) yang tidak mengalami. Kriteria DRPs dengan persentase tertinggi adalah under dosis sebanyak 33% dan over dosis sebanyak 31%.

VP163 Patient Involvement In The Development Of Multi-Criteria Decision Tool

2017 ◽  
Vol 33 (S1) ◽  
pp. 223-223
Author(s):  
Marie-Pierre Gagnon ◽  
Sylvain L'Espérance ◽  
Carmen Lindsay ◽  
Marc Rhainds ◽  
Martin Coulombe ◽  
...  
Keyword(s):  
Decision Support ◽  
Delphi Study ◽  
Value Added ◽  
Decision Support Tool ◽  
Strategic Choices ◽  
Healthcare Organizations ◽  
Support Tool ◽  
Health Technologies ◽  
Modified Delphi ◽  
Patient Representatives

INTRODUCTION:Healthcare organizations should assess the relevance of both existing and new practices. Involving patients in decisions regarding which health technologies and interventions should be prioritized could favor a better fit between strategic choices and patients needs.METHODS:Following a systematic review of existing multi-criteria decision support tools and a consultation with hospital clinicians and managers, a set of potentially relevant criteria was identified. A three-round modified Delphi study was then conducted among four groups (hospital managers, heads of department, clinicians, and patient representatives) in order to reach consensus on criteria that should be considered in the tool.RESULTS:In total, seventy-four participants completed the third round of the Delphi study. Consensus was obtained on twelve criteria. There were some significant differences between groups in priority scores given to criteria. Patient representatives differed significantly from other groups on two criteria. Their ranking of the accessibility criteria was higher, and their ranking of the organizational aspect criteria was lower than for the other groups.CONCLUSIONS:Patient representatives can be involved in the development of a multi-criteria decision support tool to identify, evaluate and prioritize high value-added health technologies and interventions in order to enhancing clinical appropriateness The fact that accessibility aspects were more important for patient representatives calls for specific attention to these criteria when prioritizing health technologies or interventions. Furthermore, we need to ensure that the decisions made regarding the relevance of these technologies and interventions also reflect patients’ preferences.

scholarly journals ANALISIS PELAYANAN KEFARMASIAN DI PUSKESMAS TOSIBA KABUPATEN KOLAKA

2018 ◽  
Author(s):  
Musdalipah
Keyword(s):  
Pharmaceutical Care ◽  
Research Method ◽  
Narrative Form ◽  
Drug Related Problems ◽  
The Public ◽  
Descriptive Method

Pharmaceutical care is an activity that aims to identify, prevent and solve drug related problems. The demands of patients and the public on the improvement of the quality of pharmaceutical care, require that the extension of the old paradigma wich oriented to the product (drug oriented) into a patient oriented (patient oriented) with the philosophy of pharmaceutical care. The purpose of this study is to find out the pharmaceutical care in puskesmas tosiba kolaka district. This type of research is done by descriptive method. Research method used is descriptive with retrospektive data retriveal. The sample in this study consisted of the head of tosiba puskesmas, pharmacist and assistent pharmacist. Data are analyzed descriptively and elaborated in narrative form. The results showed that the management of drugs and prescription assessment at puskesmas tosiba kolaka accordance with the standard of pharmaceutical care but facilities and infrastructure that has not been sufficient and also exposed to several other factors.

scholarly journals Multi-Agent based Intelligent Decision Support Systems for Cancer Classification

2021 ◽  
Author(s):  
Hanaa Salem ◽  
Gamal Attiya ◽  
Nawal El-Fishawy
Keyword(s):  
Feature Selection ◽  
Decision Support ◽  
Machine Learning Algorithms ◽  
Final Report ◽  
Cad System ◽  
Intelligent Decision ◽  
Multi Agent ◽  
Microarray Datasets ◽  
Intelligent Decision Support ◽  
Cancer Diseases

There is evidence that early detection of cancer diseases can improve the treatment and increase the survival rate of patients. This paper presents an efficient CAD system for cancer diseases diagnosis by gene expression profiles of DNA microarray datasets. The proposed CAD system combines Intelligent Decision Support System (IDSS) and Multi-Agent (MA) system. The IDSS represents the backbone of the entire CAD system. It consists of two main phases; feature selection/reduction phase and a classification phase. In the feature selection/reduction phase, eight diverse methods are developed. While, in the classification phase, three evolutionary machine learning algorithms are employed. On the other hand, the MA system manages the entire operation of the CAD system. It first initializes several IDSSs (exactly 24 IDSSs) with the aid of mobile agents and then directs the generated IDSSs to run concurrently on the input dataset. Finally, a master agent selects the best classification, as the final report, based on the best classification accuracy returned from the 24 IDSSs The proposed CAD system is implemented in JAVA, and evaluated by using three microarray datasets including; Leukemia, Colon tumor, and Lung cancer. The system is able to classify different types of cancer diseases accurately in a very short time. This is because the MA system invokes 24 different IDSS to classify the diseases concurrently in parallel processing manner before taking the decision of the best classification result.

scholarly journals Assessment of Web-Based Training Modules on Learning Facilitation for Advanced Pharmacy Practice Experiences in Pediatrics

2011 ◽  
Vol 16 (3) ◽  
pp. 210-215
Author(s):  
Jennifer L. Morris ◽  
Chad A. Knoderer
Keyword(s):  
Pharmaceutical Care ◽  
Pediatric Patients ◽  
Pharmacy Practice ◽  
Antimicrobial Use ◽  
Multiple Choice Questions ◽  
Web Based ◽  
Learning Facilitation ◽  
Practice Experience ◽  
Monitoring Module ◽  
Training Modules

OBJECTIVES To assess the effectiveness of web-based training (WBT) modules to enhance and facilitate student pharmacists' learning and their ability to provide pharmaceutical care to children during a pediatric advanced pharmacy practice experience (APPE). METHODS Pediatric-specific WBT modules were developed for completion by APPE students during a 4-week rotation. Pediatric modules covered developmental pharmacology; antimicrobial use and monitoring; fluids, electrolytes, and dehydration; and drug information. Students were responsible for completing all modules within the first week of the APPE. Preassessments and postassessments consisted of 8 to 10 multiple-choice questions, with scores ranging from 0 to 100 points. Data were analyzed using descriptive statistics and paired t tests. RESULTS Statistically significant improvements in postassessment scores were achieved for 3 of the 4 modules. Significant improvements were not observed in the antimicrobial use and monitoring module. Most student pharmacists either somewhat or strongly agreed that the modules improved their understanding of pharmaceutical care for children. CONCLUSIONS WBT modules, taken during an APPE rotation, may expand and improve student pharmacists' understanding of pharmaceutical care in pediatric patients.

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