DOI: 10.37421/2157-7420.2022.13.422
DOI: 10.37421/2157-7420.2022.13.424
DOI: 10.37421/2157-7420.2022.13.423
DOI: 10.37421/2157-7420.2022.13.425
Acute discontinuous porphyria is an intriguing autosomal prevailing sickness described by a lack of hydroxymethylbilane synthase (HMBS). It gives stomach torment, sickness, spewing, fringe neuropathy, and seizures. Treatment for intense assaults is intravenous heme. Conclusive treatment is an orthotopic liver transfer. This action gives an outline of the etiology, clinical show, assessment, the executives, and treatment of the illness by an interprofessional group. “Porphyria” has been gotten from the old Greek word porphura, significance purple. Porphyrins are forerunners of heme, a fundamental part of hemoglobin. Every subunit of hemoglobin is a globular protein containing an inserted heme bunch that contains one iron iota, fit for restricting one oxygen particle. The heme union pathway is a multi-step process that includes a particular catalyst at each step. Consequently, porphyrias are unmistakable clinical disorders, which emerge because of lack or deformity in a specific chemical required for a particular step of the heme combination pathway. Albeit these conditions have expectedly been arranged relying upon the dominating framework included (cutaneous versus neurohepatic), huge cross-over happens, and numerous porphyrias present with blended side effects.
DOI: 10.37421/2157-7420.2022.13.421
Brain tumor detection is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. The detection of brain tumor from Magnetic Resonance (MR) images is a vital, but time consuming task performed by medical experts. The knowledge of this information regarding tumor in the brain is important for diagnosis planning and treatment. The location of the brain tumor and precise size are detected with brain tumor detection. Sometimes MRI brain images corrupted by some noise. In this project we specially focus on detecting tumor from brain MRI images. By using thresholding technique extraction of the tumor takes place and then calculates the tumor area.
DOI: 10.37421/2157-7420.2024.15.507
Background: Electronic Health Records (EHRs) are increasingly adopted worldwide, but evidence of their effects on medication dispensing efficiency is limited, particularly in non-Western healthcare settings. The aim of this study was to evaluate the impact of an EHR system on medication dispensing time in a hospital pharmacy in Saudi Arabia.
Methods: A quasi-experimental pre-post study design was used to compare medication dispensing times before and after EHR implementation across seven inpatient departments in Buraydah Central Hospital. Timestamp data on 5,110 medication dispensing instances were extracted from the pharmacy records.
Results: EHR implementation led to statistically significant reductions in overall mean dispensing times (by 25.8%, from 90.9 minutes to 67.5 minutes, p<0.001) and within each department (by 16.3% – 49.1%, p<0.001).
Conclusion: This study provides quantitative evidence that introducing the use of EHRs substantially improved the medication dispensing efficiency in a Saudi Arabian hospital pharmacy. Further research should assess the long-term impacts of the use of EHRs across multiple sites.
DOI: 10.37421/2157-7420.2024.15.507
The field of healthcare has seen significant advancements in recent years, driven in large part by technology. One of the most transformative developments in healthcare technology has been the rise of telemedicine, which involves the delivery of healthcare services remotely using telecommunications technology. Telemedicine has not only expanded access to healthcare but has also played a crucial role in shaping the future of healthcare informatics. Healthcare informatics encompasses the management and use of healthcare information and data to improve patient care, outcomes, and the overall functioning of the healthcare system. In this essay, we will explore the role of telemedicine in healthcare informatics, focusing on its impact on healthcare delivery, data management, and the potential challenges and opportunities it presents for the future.
DOI: 10.37421/2157-7420.2024.15.508
DOI: 10.37421/2157-7420.2024.15.509
Health informatics is a rapidly evolving field that leverages technology and data to improve healthcare outcomes and delivery. As the healthcare industry becomes increasingly data-driven, the ethical considerations surrounding health informatics have come to the forefront. This essay delves into three crucial ethical dimensions of health informatics: privacy, consent, and data ownership. We explore the significance of these considerations, the challenges they present, and the evolving landscape of ethical frameworks and regulations. Privacy is a fundamental ethical concern in health informatics. It encompasses the protection of an individual's personal information and their right to control who has access to their health data. The explosion of Electronic Health Records (EHRs), telemedicine, wearables, and health apps has raised concerns about the security and privacy of health-related data. Several aspects of privacy in health informatics deserve careful.
DOI: 10.37421/2157-7420.2024.15.510
DOI: 10.37421/2157-7420.2024.15.511
DOI: 10.37421/2157-7420.2024.15.512
Health informatics is a dynamic and evolving field that combines healthcare, information technology, and data analysis to improve patient care, streamline healthcare operations, and enhance medical research. Within this broad domain, one of the most promising applications is the integration of artificial intelligence for clinical decision support. AI, with its ability to process vast amounts of data, identify patterns, and make predictions, has the potential to revolutionize the way healthcare professionals make decisions and manage patient care. In this article, we will explore how AI is being leveraged for clinical decision support in health informatics, its benefits, challenges, and the future of this transformative technology.
DOI: 10.37421/2157-7420.2024.15.513
DOI: 10.37421/2157-7420.2024.15.514
DOI: 10.37421/2157-7420.2024.15.515
The healthcare industry has been undergoing a transformative shift in recent years with the widespread adoption of Electronic Health Records (EHRs) and the digitization of medical data. These changes have opened up new opportunities for improving patient care, reducing costs, and advancing medical research. One of the critical components in this transformation is Health Information Exchange (HIE), which allows the seamless sharing of patient data among different healthcare providers and systems. However, despite the potential benefits, there are significant challenges when it comes to interoperability and standardization in health information exchange. This article delves into the complexities and issues surrounding HIE interoperability and standardization, offering insights into the current state of affairs and potential solutions.
DOI: 10.37421/2157-7420.2023.14.461
One of the rapidly expanding inventions of the twenty-first century is electronic health records. In developed nations, it acts as the foundation of medical operations. Unfortunately, despite the wealth of advantages offered by electronic health records, many developing nations, notably sub- Saharan Africa, have failed to adopt them. A design paradigm that can be used in these economies is presented in this research. In order to guide the design process, a typical hospital's operational work flow was created. The front end application gathers patient data, which is then entered into the database via the integrated fingerprint access control; a career is given a role-based access level. A configured server connects all of the carers' workstations to the electronic health records.
DOI: 10.37421/2157-7420.2023.14.462
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DOI: 10.37421/2157-7420.2022.13.451
DOI: 10.37421/2157-7420.2022.13.452
Diabetes is a growing problem that poses a significant public health challenge around the world. According to the International Diabetes Federation (IDF) and the World Health Organization (WHO), diabetes currently affects more than 8% of the global population (415–420 million people), with prevalence expected to rise to 10.4% (642 million) by 2040. Diabetes affects an estimated 9.3 percent of the population (29.1 million people) in the United States. Type-2 diabetes is the most common type of diabetes worldwide, accounting for 90 percent of cases.
DOI: 10.37421/2157-7420.2022.13.453
DOI: 10.37421/2157-7420.2022.13.454
DOI: 10.37421/2157-7420.2022.13.455
DOI: 10.37421/2157-7420.2023.14.456
The seasonal influenza vaccine hesitancy (IVH) of community health care workers in the southwest Chinese city of Chongqing and its causes are examined in this paper. Methods: A cross-sectional survey of 1030 community health care workers who had either direct or indirect patient contact was conducted from July to September 2021 using a self-administered computerized questionnaire. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for potential risk factors for IVH among community HCWs were generated using multivariable logistic regression. Results: In the 2020–2021 season, 658.8% of community health care workers had IVH, and 46.2% of community health care workers had been vaccinated. "Don't know the coverage in China" had a positive correlation with IVH (OR: 1.46, 95% CI: 1.01-2.11; Group of 40-year-olds OR: 3.02, 1.92-4.76) as well as "complacency" 4.55, 95% CI: 3.14-6.60). Local HCWs who had previously been immunized against influenza were more likely to fully accept vaccination (OR: 0.67, 95% CI: 0.48-0.95), as well as those who had more comfort and confidence (OR: 0.08, 95% CI: 0.06- 0.12; OR: 0.34, 95% CI: 0,23, and 0,52, respectively). Conclusions: Increasing public awareness of influenza and vaccination, expanding the free vaccination policy, and improving the convenience of the vaccination service will all make it possible to increase the seasonal influenza vaccine coverage among community health care workers in Chongqing.
DOI: 10.37421/2157-7420.2023.14.457
DOI: 10.37421/2157-7420.2023.14.458
DOI: 10.37421/2157-7420.2023.14.459
DOI: 10.37421/2157-7420.2023.14.460
DOI: 10.37421/2157-7420.2022.13.449
DOI: 10.37421/2157-7420.2022.13.450
DOI: 10.37421/2157-7420.2022.13.447
Healthcare could significantly benefit from improved communication; It is possible that patients who are better informed are more likely to participate in the management of their health conditions, make better decisions based on their knowledge, and ultimately contribute to improved quality of care. The use of pictures enhances knowledge, understanding, and recall, according to a recent systematic review and meta-analysis of the effects of using visual aids to convey health information on patient and consumer health behaviors and outcomes. Numerous clinical trials have demonstrated the efficacy of visual aid-based interventions designed to enhance patient comprehension and education regarding surgical procedures and the management of chronic diseases.
DOI: 10.37421/2157-7420.2022.13.448
Many nations aim to use information technology (IT) in healthcare research and practice. IT capabilities have advanced dramatically over the past fifty years. New and beneficial applications of IT in the medical field have been made possible by a number of developments. Software, computer science, medicine, information science, statistics, cognitive sciences, and mathematics all come together in the interdisciplinary field of medical informatics (MI). Using concepts, tools, methods, software techniques, and modelling, this field aims to reduce healthcare costs while also reducing care errors. Dental informatics (DI) can be thought of as a subfield of medical informatics (MI); Consequently, MI has some impact on DI's development. In spite of the similarities that exist between DI and MI in medical research, it is essential to carry out distinct studies that are solely devoted to DI. In the relatively new field of DI, information science and computer applications can enhance dental research, practice, management, and education. The utilization of processing in dentistry is just a single part of DI. The first practitioners of DI referred to their strategy as the application of information science to medical problems. MI has been described as a cascade from analysis to effect in more recent studies.
DOI: 10.37421/2157-7420.2022.13.433
DOI: 10.37421/2157-7420.2022.13.432
Colorectal cancer (CRC) is the most continuous dangerous growth influencing the gastrointestinal lot and the third most normal disease in all kinds of people. Colorectal cancer (CRC), otherwise called entrail disease, colon disease, or rectal malignant growth, is the improvement of disease from the colon or rectum (portions of the huge intestine). Signs and side effects might remember blood for the stool, an adjustment of solid discharges, weight reduction, and fatigue.
DOI: 10.37421/2157-7420.2022.13.431
Breast Cancer is the second most normal harm influencing pregnancy. Pregnancy-related Breast Cancer (PABC) is characterized as Breast Cancer analyzed during pregnancy or in the main post pregnancy year. Since PABC is a moderately interesting occasion encircled by various factors, scarcely any examinations address the best administration and treatment choices. We present an instance of PABC to outline and feature a portion of the proposals for therapy, obstetric consideration, conveyance the executives, and malignant growth reconnaissance.
DOI: 10.37421/2157-7420.2022.13.435
DOI: 10.37421/2157-7420.2022.13.434
Joseph W. Sirrianni*, Jin Peng, Yungui Huang and Homa Amini
DOI: 10.37421/2157-7420.2022.13.436
Background: Cohort identification is a crucial task for performing retrospective clinical analysis. The utilization of natural language processing, especially the modern and advanced approaches using deep learning modeling, may improve this task by allowing for improved classification of patients by cohort status. However, this utilization has not been applied in the dentaldomain.
Objective: We aim to identify patients that suffer trampoline-associated traumatic dental injuries among all trampoline-associatedinjuries.
Methods: We develop and apply a natural language processing cohort identification pipeline, consisting of text filtering rules and a machine learning model trained using historic data. The pipeline processes a patient’s clinical notes for a series of temporally related encounters and produces a binary prediction of whether the patient has suffered a trampoline-injury or not. We experimented with six different machine learning models: logistic regression, random forest, decision tress, linear-SVM, naïve bayes, and a fine-tuned ClinicalBERT model.
Results: The fine-tuned ClinicalBERT model had the best performance of the models on our evaluation data with a PPV of 0.836 and a sensitivity of 0.898. The application of the pipeline on our data increased the cohort size for all trampoline injuries from an initial 7454 patients to 15,010 patients and the trampoline-associated traumatic dental injuries cohort from an initial 102 patients to 140 patients.
Conclusion: We present a novel natural language processing powered pipeline for identifying a trampoline-associated injury cohort for dental research. Our results demonstrate the superiority of deep learning over traditional machine learning models on our specific task. Our process for identifying patient encounters by activity type is generalizable to several different types of injuries and applicable to other research cohorts.
DOI: 10.37421/2157-7420.2022.13.437
DOI: 10.37421/2157-7420.2022.13.439
DOI: 10.37421/2157-7420.2022.13.438
DOI: 10.37421/2157-7420.2022.13.440
Helicobacter pylori (H. pylori) keep on being a significant medical issue around the world, making impressive dreariness and mortality due peptic ulcer illness and gastric malignant growth. The point of the present deliberate survey and meta-examination was to decide the responsiveness and explicitness of 13C/14C-urea breath tests in the determination of H. pylori disease. A PRISMA efficient inquiry evaluation and meta-investigation were led. A precise writing search of PubMed, Web of Science, EMBASE, Scopus, and Google Researcher was directed up to August 2022. Conventional, strategic and measurable information were separated from the qualified examinations, which announced the awareness and explicitness of 13C/14C-urea breath tests in the determination of H. pylori contamination. An irregular impact meta-examination was led on rough responsiveness and particularity of 13C/14C-urea breath test rates. Heterogeneity was evaluated by Cochran's Q and I2 tests. The writing search yielded a sum of 5267 examinations.
DOI: 10.37421/2157-7420.2022.13.445
Background: Maternal and child mortality is still a problem not only in Zambia but in many other countries across the world. The high levels of Maternal and Child mortality are a serious problem, especially among African countries. This has led to the prioritization of maternal and child healthcare in many countries. Programs to improve the health of mothers and children have been implemented in all countries of the world. In Zambia, there been an Increase in Antenatal Care, Postnatal care, antiretroviral therapy for HIV infected pregnant women and vitamin A supplementation. Programs such as the child, health week was introduced as interventions against maternal and child mortality.
Objective: This study will determine the knowledge and attitudes of women towards maternal and child healthcare programs.
Method and setting: A cross section study was employed in the study. The study targeted woman of Twapia area in Ndola, with at least a child were interviewed in their households through a structure questionnaire.
Data analysis: An Excel spreadsheet was used for data capturing. Percentages and numbers were used to interpret data. Computed data will be entered using Epi-data version 3.1. The data will be analyzed using Spss and Excel.
Benefits of the study: The results highlighted gaps within maternal and child healthcare. The results of the study were used to formulate strategies to advance maternal and child healthcare in Zambia. The study also helped to establish the importance of women participation in the development of maternal and child health.
Results: The study involved 374 women from within Twapia. 236 (63%) of participants were between the ages of 26–35 year while 138 (37%) of the participants were between the ages of 18–25 years. About 363 (97%) of the participants were married and 4 (1%) of were single while 7 (2%) of the participants were widows. A total of 146 (39%) participants attended primary school, 75 (20%) went up to secondary school level, only 4 (1%) went as far as tertiary level and the rest, 148 (40%) did not have any formal education. About 292 (78%) of the participants were unemployed and the rest, 82(22%) had some form of employment. 288(76,9%) of the participants had good knowledge regarding maternal and child health programs while 86(23.1%) had poor or bad knowledge. 350(93.8%) had good attitude towards maternal and child health programs among and 23(6.2%) had poor or bad attitude towards maternal and child health programs. 232(61.9%) of the participants had good participation in maternal and child health programs among and 142(38.1%) had poor or bad participation in maternal and child health programs.
Conclusion: The main aim of the study was to evaluate the Knowledge, Attitudes, and Participation in Maternal, and Child Health programs among women in Twapia, Ndola District, Zambia. The Findings of the study indicated that more than three quarters of the participants had good knowledge regarding maternal and child health programs. The study also found that the majority had good attitude towards maternal and child health programs. Another finding from the study was that more than half of the participants had good participation in maternal and child health programs. The study also revealed that there a significant association between the socio-demographic characteristics of participants and knowledge on antenatal care services. Also the participation and knowledge on antenatal care services had a significant association.
DOI: 10.37421/2157-7420.2022.13.444
DOI: 10.37421/2157-7420.2022.13.441
The Italian combined Electronic Wellbeing Record, called the Fascicolo Sanitario Elettronico (henceforth FSE), and is a support point inside the drives pertinent to the achievement of Computerized Wellbeing. It gives a predictable data base that is helpful for the whole medical care pathway to work on the collaboration among various medical care experts. Patients likewise have the likelihood to access, follow, and counsel their medical care history and to share it, whenever and anyplace all around the country, with medical services experts, who have consistent admittance to a reasonable and complete perspective on the patient's ailments and can, subsequently, guarantee a viable and effective consideration administration, particularly in crisis circumstances.
DOI: 10.37421/2157-7420.2022.13.442
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DOI: 10.37421/2157-7420.2022.13.428
DOI: 10.37421/2157-7420.2022.13.427
DOI: 10.37421/2157-7420.2022.13.429
DOI: 10.37421/2157-7420.2022.13.430
Lateral elbow tendinopathy (LET) is a typical excruciating outer muscle problem. A few medicines have been proposed to give torment decrease and practical recuperation, including laser treatment, hyaluronic corrosive peritendinous infusion (Hy-A), and restorative activity (TE). The review means to evaluate the viability of a joined methodology with extreme focus laser treatment (Handle) and Hy-An infusions contrasted with TE on torment, muscle strength, and handicap in patients with excruciating LET. A review longitudinal review was completed by counseling the clinical records of patients with a conclusion of excruciating LET formed by clinical and instrumental discoveries that got utilitarian assessments, including the Patient-Evaluated Tennis Elbow Assessment (PRTEE) and muscle strength estimation no less than multiple times: T0 ("gauge"), 1-month (T1), 3-month (T2), and half year subsequent meet-ups (T3). Clinical records of 80 patients were broke down. In the Handle+HyA bunch, the Pinnacle strength (p<0.001) and mean strength (p<0.001) altogether expanded contrasted with the TE bunch between concentrate on times. For the PRTEE-complete score concerning the subscales, the Handle+HyA bunch announced genuinely huge decreases just for the correlations of standard versus T1 and benchmark versus T2. No serious antagonistic occasions happened. Our discoveries propose that Hy-A related with Handle may be more successful than TE for individuals with LET in the short-medium term.
DOI: 10.37421/2157-7420.2022.13.426
Alcoholic hepatitis is a significant wellbeing and monetary weight around the world. Glucocorticoids (GCs) are the main first-line drugs prescribed to treat serious alcoholic hepatitis (sAH), with restricted transient adequacy and huge incidental effects. In this survey, I sum up the significant advantages and results of GC treatment in sAH and the likely basic components. The survey of the writing and information mining plainly show that the hepatic motioning of glucocorticoid receptor (GR) is uniquely debilitated in sAH patients. The disabled GR flagging causes hepatic downguideline of qualities fundamental for gluconeogenesis, lipid catabolism, cytoprotection, and against irritation in sAH patients. The viability of GCs in sAH might be undermined by GC opposition or potentially GC's extrahepatic aftereffects, especially the results of digestive epithelial GR on stomach porousness and irritation in AH. Prednisolone, a significant GC utilized for sAH, enacts both the GR and mineralocorticoid receptor (MR). At the point when GC non-responsiveness happens in sAH patients, the enactment of MR by prednisolone could expand the gamble of liquor misuse, liver fibrosis, and intense kidney injury. To further develop the GC treatment of sAH, the work ought to be centered on fostering the biomarker(s) for GC responsiveness, liver-focusing on GR agonists, and techniques to defeat GC non-responsiveness and forestall liquor backslide in sAH patients.
Tientche B*, Fru-Cho J, Nota Anong D, Ngouakam H and Nkuo-Akenji TK
DOI: 10.37421/jhmi.2020.11.344
Background: Understanding local knowledge about malaria can help in designing sustainable community-based malaria control programs. Thus, the purpose of this study was to generate information on knowledge, perceptions and practices and the preventive measures as regards to malaria in the rural farming community.
Methods: A cross-sectional survey was conducted September to October 2013 among 851 households from 9 villages in Ekondo Titi Subdivision using structured questionnaire. Questions assessed knowledge, perceptions and practices about malaria among tribal villagers. The data were analyzed using SPSS 20.0 statistical software program.
Results: Most of the respondents 58.2% attributed malaria to mosquito bites. However, some of the respondents (28.8%) mentioned drinking dirty water, midges and standing in the sun as the causes of malaria transmission. Avoiding stagnant water (60.9%) and Clearing of bushes (71.5%) were the most frequently mentioned malaria preventive measures perceived and practiced by the respondents. Only 11.05% of 851 participants owned at least one long lasting insecticide treated net (LLIN). Thirty-nine point nine (39.9%) of respondents indicated that they experienced the last malaria episode more than three months ago. Malaria chemoprophylactic treatment was related to the educational status of the participants (p=0.001)
Conclusions: Despite this fair knowledge and good attitudes, practices towards malaria prevention and control were poor. A considerable proportion had misconceptions about the cause and transmission of malaria suggesting the necessity of health education. To close the gap between knowledge about transmission and ownership and use of bed nets as a preventive measure, there is the need to re-energize the CHWs activities and implement the concept of night watch in the rural communities.
David Randall
DOI: 10.37421/2157-7420.2022.13.420
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DOI: 10.37421/jhmi.2022.13.415
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DOI: 10.37421/jhmi.2022.13. 406
Background: Health information exchange (HIE) programs as a policy subject in several developed countries can enable information sharing across providers and healthcare organizations to improve care coordination. However, besides the expected benefits of participating in HIE in enhancing coordination, reducing costs, and improving patient safety, previous studies report that clinicians' rate of using HIE mechanisms is still low. Insufficient participation of clinicians in data exchange networks can diminish the value of HIE. Based on utility theory, this study aims to identify and categorize barriers associated with the implementation of HIE projects in healthcare organizations and develop a comprehensive model to empirically examine the effects of HIE inhibitors on clinicians' intention to engage in HIE networks.
Methods: Data was collected using an online survey from 318 clinicians working in different healthcare settings in the United States.
Results: Results show that internal inhibitors (including technological and organizational barriers) and external inhibitors (including partners, patients, vendors, and legal barriers) strongly influence clinicians' intention to engage in HIEs. Taking an integrated approach, this study can contribute to the existing literature by providing a more informed way of conceptualizing and explaining HIE adoption in healthcare organizations.
Conclusion: The findings can help HIE decision-makers, healthcare organizations, and providers to identify key HIE inhibitors and take corrective actions to address them. Addressing both internal and external inhibitors would increase the likelihood of widespread implementation of HIEs in different healthcare settings and facilitate interoperability and connectivity in regional and community health information networks.
DOI: 10.37421/jhmi.2022.13.410
DOI: 10.37421/jhmi.2022.13. 409
DOI: 10.37421/jhmi.2022.13.408
DOI: 10.37421/jhmi.2022.13. 407
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DOI: 10.37421/jhmi.2022.13. 406
DOI: DOI: 10.37421/jhmi.2022.13.407
DOI: DOI: 10.37421/jhmi.2022.13.408
DOI: 10.37421/jhmi.2022.13.409
Michael Afari-Baidoo, Eric Ofori Gyamerah, Kwaku Opoku Yeboah, Charles Kwesi Koomson and Collins Owusu-Fordjour*
DOI: DOI: 10.37421/jhmi.2022.13. 400
The study sought to find out the impact of the use of the internet on health-seeking behavior among undergraduate students of University of Education, Winneba. The study employed a descriptive survey design using the quantitative research approach. Samples of 515 undergraduate students were conveniently selected from the five faculties in the University of Education, Winneba. A questionnaire on the Impact of online Health Seeking Behavior among University Students was used to collect data for the study. Descriptive statistics were used to organize the data from the questionnaire into frequencies and the responses expressed in percentages. Analysis of the data proved that health information from the internet had a significant impact on the health seeking behaviour of university students. It is, therefore, recommended among other things that an exclusively medical online management information system be rolled out by doctors and nurses to guarantee accurate medical advice on health information services. This is expected to minimize the negative implications of internet health information on the health-seeking behaviour of students. It is also recommended that online websites providing health information are regulated and a disclaimer suggesting the non-conclusiveness of existing information on such sites be made available to protect the innocent unsuspecting online health seeker.
DOI: DOI: 10.37421/jhmi.2022.13. 401
DOI: DOI: 10.37421/jhmi.2022.13. 403
DOI: DOI: 10.37421/jhmi.2022.13. 404
DOI: 10.37421/jhmi.2022.13. 402
DOI: 10.35248/2157-7420.21.12.395
DOI: 10.35248/2157-7420.21.12.394
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DOI: 10.35248/2157-7420.21.12.392
DOI: 10.35248/2157-7420.21.12.391
DOI: 10.37421/2157-7420.2021.12.381
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DOI: 10.37421/2157-7420.2021.12.385
DOI: 10.37421/2157-7420.2021.12.383
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DOI: 10.37421/2157-7420.2021.12.388
DOI: 10.37421/2157-7420.2021.12.390
Raja D, Elmutaz Belah Mohammed, Mohamed Elfatih Ali, Manju Rosy Jose, Bijin Kurian, Solomon Reji, Aseem Veeves Singh and Anand Vijaya Kumar*
DOI: 10.37421/2157-7420.2021.12.387
In the last few years there has been increased utilization of smartphone technology by general public as well as healthcare professionals. One of the key features for increasing usage of smartphones is the ability to use applications, commonly termed as Apps. The present study aims to find out the available healthcare apps in three platforms (Android, Windows, iOS) and classify them. In addition, we examine the availability of app for drug and poison information centre to provide drug and poison information services. We performed a broad search for healthcare apps in three main platforms (Android, Windows, iOS), during 29/June/2016 to 31/December/2016 considering predefined inclusion and exclusion criteria. The available healthcare apps were categorized, based on their fundamental function into six categories; Drug information, Disease information and management, Drug interactions, Prescription manager, Multifunctional apps, and apps for Drug and poison information centre. Comprehensive review that includes description, logo, platform, download size, rating and cost of 277 included apps from a total of 9178 identified healthcare apps was prepared. Further this systematic and comprehensive review process in main three platforms shows there is no app for drug and poison information centre to provide drug and poison information service.
Gediyon Mekonnen*, Tesfaye Gobena, Zelalem Bekele, Zelalem T Mariam, Alemeshet Taddese, Behailu Hawulte, Tesfaye Digafe and Admas Abera
DOI: 10.37421/2157-7420.2021.12.386
Background: Electronic medical record systems are increasingly incorporated into the healthcare systems of developing countries, including Ethiopia, to improve the effectiveness and efficiency of the healthcare institutions.
Objective: The level of utilization and determinants of electronic medical record use among health professionals working in public health facilities in Harari Regional State, Eastern Ethiopia
Methods: A facility- based cross-sectional study was conducted on 498 randomly selected health professionals at public health facility of Harari Regional State, Eastern Ethiopia. Pre-tested, structured, and self-administered questionnaire was used to collect data. Data collection facilitators were participated in the data collection process. Data were entered into Epi Data Version3.1, and exported to STATA version 14.2 for data processing and analysis. Descriptive statistics were computed to describe the study variables. Bivariate and multivariate logistic regression analyses were used to identify the predictors of the outcome variable. A p-value <0.05 at a 95% confidence level were considered as statistically significant.
Results: Of the total 551 approached health professionals, 498(90.3%) were returned the questionnaire. Out of this, 211(42.3%, 95% CI: 38, 46) were using the electronic medical recording system. Females (AOR=0.40, 95% CI: .251-.66), professionals with good attitude (AOR=1.71, 95% CI: 1.07, 2.72), professionals with good knowledge (AOR=2.48, 95% CI: 1.53- 4.00), and those having basic computer course (AOR= 4.45, 95% CI: 2.17 – 9.10) were significantly associated with the EMR system utilization.
Conclusion and Recommendations: In the present study the utilization of Electro medical record system was low. Health professional with basic computer courses, having good knowledge and a good attitude, were found to use an electronic medical record system. Therefore improving knowledge and awareness of health professionals is important for scaling up the electronic medical record system used in facilities.
DOI: 10.37421/2157-7420.2021.12.389
Journal of Health & Medical Informatics received 2128 citations as per Google Scholar report
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