Displaying publications 1 - 20 of 61 in total

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  1. Letchumanan VP, Lim KF, Mohamad AB
    Med J Malaysia, 2013 Oct;68(5):405-9.
    PMID: 24632870 MyJurnal
    INTRODUCTION: Spontaneous rupture is a dramatic presentation of HCC and it carries high mortality rate. To study the outcomes of ruptured HCC patients managed at a tertiary referral centre in Malaysia.
    METHODS: A retrospective review of all ruptured HCC patients managed as inpatient at the Department of Hepatobiliary Surgery, Hospital Selayang between January 2001 and December 2010. Data was retrieved from the hospital electronic medical records, Powerchart (Cerner Corporation Inc., USA) and supplemented with registry from Interventional Radiology record of chemoembolization and registry from hepatobiliary operative surgery records.
    RESULTS: There were 22 patients admitted with confirmed diagnosis of ruptured HCC over 10 years period. The common clinical findings on presentation were abdominal pain and presence of shock (36.4%). The mortality rate was 81.8% with only four patients noted to be alive during the follow up. One year overall survival for ER and DR are 40.0% and 72.7% respectively and the median survival in patients treated with DR was 433.3 days whereas it was 212.5 days in ER group.
    CONCLUSIONS: This study supports the clinical practice of TAE should be the first line treatment followed by staged surgery in suitable candidates with ruptured HCC.
    Matched MeSH terms: Electronic Health Records
  2. Zamli AH, Mustafah NM, Sa'at N, Shaharom S
    Med J Malaysia, 2020 11;75(6):642-648.
    PMID: 33219171
    INTRODUCTION: Neurogenic bladder (NB) is a recognized secondary medical impairment following spinal cord injury (SCI). Ultrasound (US) of the kidneys, ureters and bladder (KUB) has been recommended as a useful, non-invasive surveillance method with good diagnostic sensitivity. This study aims to understand US diagnosed NB complications and identify its associated factors.

    METHODS: We enrolled all patients referred for SCI rehabilitation from 2012 to 2015 that fulfilled our study criteria. Data that were retrospectively reviewed included demographic and clinical characteristic data; and US KUB surveillance studies.

    RESULTS: Out of 136 electronic medical records reviewed, 110 fulfilled the study criteria. The prevalence of NB in our study population was 80.9%. We found 22(20%) of the patients showed evidence of US diagnosed NB complications with the mean detection of 9.61±7.91 months following initial SCI. The reported NB complications were specific morphological changes in the bladder wall 8(36.4%); followed by unilateral/bilateral hydronephrosis 7(31.8%); bladder and/or renal calculi 5(22.7%); and mixed complication 2(9.1%) respectively. Half of the patients with NB complications had urodynamic diagnosis of neurogenic detrusor overactivity with/without evidence of detrusor sphincter dyssynergia. We found co-existing neurogenic bowel, presence of spasticity and mode of bladder management were significantly associated factors with US diagnosed NB complications (p<0.05), while spasticity was its predictor with adjusted Odds Ratio value of 3.93 (1.14, 13.56).

    CONCLUSION: NB is a common secondary medical impairment in our SCI population. A proportion of them had US diagnosed NB complications. Co-existing neurogenic bowel, presence of spasticity and mode of bladder management were its associated factors; while spasticity was its predictor.

    Matched MeSH terms: Electronic Health Records
  3. Tay KH, Ariffin F, Sim BL, Chin SY, Sobry AC
    Malays J Med Sci, 2019 Jul;26(4):101-109.
    PMID: 31496899 MyJurnal DOI: 10.21315/mjms2019.26.4.12
    Background: Antimicrobial resistance is a global problem that is perpetuated by the inappropriate use of antibiotics among doctors. This study aims to assess the antibiotic prescription rate for patients with acute upper respiratory infection (URI) and acute diarrhoea.

    Methods: A completed clinical audit cycle was conducted in 2018 in the busy emergency department of a public hospital in Malaysia. Pre- and post-intervention antibiotic prescription data were collected, and changes were implemented through a multifaceted intervention similar to Thailand's Antibiotics Smart Use programme.

    Results: Data from a total of 1,334 pre-intervention and 1,196 post-intervention patients were collected from the hospital's electronic medical records. The mean (SD) age of participants was 19.88 (17.994) years. The pre-intervention antibiotic prescription rate was 11.2% for acute diarrhoea and 29.1% for acute URI, both of which are above the average national rates. These antibiotic prescription rates significantly reduced post-intervention to 6.2% and 13.7%, respectively, falling below national averages. Antibiotic prescription rate was highest for young children. There were no significant changes in rates of re-attendance or hospital admission following the intervention.

    Conclusion: The multifaceted intervention, which included continuing medical education, physician reminders and patient awareness, was effective in improving the antibiotic prescription rates for these two conditions.

    Matched MeSH terms: Electronic Health Records
  4. Choon SE, Wright AK, Griffiths CEM, Tey KE, Wong KW, Lee YW, et al.
    Br J Dermatol, 2022 Nov;187(5):713-721.
    PMID: 35830199 DOI: 10.1111/bjd.21768
    BACKGROUND: There are no population-based epidemiological data on psoriasis in Southeast Asia, including Malaysia.

    OBJECTIVES: To determine the incidence and prevalence of psoriasis over 11 years in multiethnic Johor Bahru, Malaysia.

    METHODS: A population-based cohort study was made using the Teleprimary Care database between January 2010 and December 2020. Cases of psoriasis, identified by ICD-10 diagnostic codes, were validated by dermatologists. Annual prevalence and incidence were estimated and stratified by age, sex and ethnicity.

    RESULTS: We identified 3932 people with dermatologist-confirmed psoriasis, including 1830 incident cases, among 1 164 724 Malaysians, yielding an 11-year prevalence of 0·34% [95% confidence interval (CI) 0·33-0·35] and incidence of 34·2 per 100 000 person-years (95% CI 32·6-35·8). Rates were higher in Indian patients; the prevalences were 0·54% (0·50-0·58) in Indian, 0·38% (0·36-0·40) in Chinese and 0·29% (0·28-0·30) in Malay patients, and the respective incidences per 100 000 person-years were 52·5 (47·3-57·7), 38·0 (34·1-41·8) and 30·0 (28·2-31·8). Rates were higher in males; the prevalence was 0·39% (0·37-0·41) in males and 0·29% (0·27-0·30) in females, and the respective incidences per 100 000 person-years were 40·7 (38·2-43·2) and 28·3 (26·4-30·3). Between 2010 and 2020, annual psoriasis prevalence and incidence increased steadily from 0·27% to 0·51% and from 27·8 to 60·9 per 100 000 person-years, respectively. Annual rates were consistently higher in male and Indian patients. Overall, psoriasis was significantly more common in males than females [odds ratio (OR) 1·37, 95% CI 1·29-1·46] and in Indian and Chinese patients vs. Malay (OR 1·85, 1·71-2·01 and OR 1·30, 1·20-1·41, respectively). Prevalence increased with age, with the highest rates in the groups aged 50-59 and 60-69 years at 0·67% and 0·66%, respectively. A modest bimodal trend in age of psoriasis onset was observed, with first and second peaks at 20-29 and 50-59 years. Disease onset was significantly earlier in females than males [mean (SD) 36·8 (17·3) vs. 42·0 (17·2) years, P 

    Matched MeSH terms: Electronic Health Records*
  5. Tsai TF
    Br J Dermatol, 2023 Sep 15;189(4):361-362.
    PMID: 37379585 DOI: 10.1093/bjd/ljad197
    Matched MeSH terms: Electronic Health Records
  6. Choon SE, Wright AK, Griffiths CEM, Wong KW, Tey KE, Lim YT, et al.
    Br J Dermatol, 2023 Sep 15;189(4):410-418.
    PMID: 37162007 DOI: 10.1093/bjd/ljad158
    BACKGROUND: There is limited understanding of the epidemiology of generalized pustular psoriasis (GPP) internationally, with no population-based estimates of GPP in South East Asia.

    OBJECTIVES: To determine the incidence and prevalence of GPP in the Malaysian population and characterize its flares and trigger factors.

    METHODS: We conducted a population-based cohort study using the Teleprimary Care database between January 2010 and December 2020. We identified 230 dermatologist-confirmed GPP cases using International Classification of Diseases, 10th revision, diagnostic codes. Annual prevalence and incidence rates were stratified by age, sex and ethnicity. We compared data regarding flares and trigger factors for patients with GPP who had associated psoriasis vulgaris (PV) with those who did not have associated PV.

    RESULTS: The prevalence of GPP was 198 per million (267 women, 127 men) and incidence was 27.2 per million person-years [95% confidence interval (CI) 22.8-31.6]; 35.3 (28.4-42.2) per million person-years for women and 18.3 (13.1-23.5) per million person-years for men. Rates were higher in Chinese individuals [prevalence 271 per million; incidence 41.6 per million person-years (28.9-54.3)] than in the Malay population [prevalence 186; incidence 24.6 (19.4-29.7)] or the Indian ethnic group [prevalence 179; incidence 25.0 (13.8-36.3)]. Annual prevalence was consistently higher in women than in men and highest among the Chinese population, followed by the Indian and Malay populations. Overall, 67% of patients with GPP had associated PV. The prevalence and incidence of GPP without PV were lower than GPP with PV at 66 vs. 132 per million and 19.3 (95% CI 15.6-23.0) vs. 8.0 (95% CI 5.6-10.3) per million person-years, respectively. The mean age at GPP onset was 42.7 years (SD 18.4). A bimodal trend in the age of GPP onset was observed, with first and second peaks at age 20-29 years and age 50-59 years, respectively. Disease onset was significantly earlier in patients with GPP without PV than in those with PV [mean age 37.5 years (SD 20.7) vs. 44.9 years (SD 17.0), P = 0.026]. Flares occurred more frequently in patients without PV than in those with PV [mean number of flares per patient per year was 1.35 (SD 0.77) vs. 1.25 (SD 0.58), P = 0.039]. Common triggers of flares in patients with GPP who did not have PV were infections, pregnancy, menstruation and stress, whereas withdrawal of therapy, particularly systemic corticosteroids, was a more frequent trigger in patients with GPP who also had PV.

    CONCLUSIONS: Our findings contribute to the global mapping of GPP, which will help inform the management of this rare condition.

    Matched MeSH terms: Electronic Health Records
  7. Lee CL, Huang KG, Chua PT, Mendoza MCVR, Lee PS, Lai SY
    Taiwan J Obstet Gynecol, 2021 May;60(3):463-467.
    PMID: 33966729 DOI: 10.1016/j.tjog.2021.03.013
    OBJECTIVE: Minimally invasive radical hysterectomy has been shown to be associated with poorer outcome in an influential prospective, randomized trial. However, many centers worldwide performing minimally invasive radical hysterectomy have data and experience that prove otherwise. We aim to review surgical and oncologic outcomes of patients operated by Laparoscopic Radical Hysterectomy in a tertiary hospital, by experienced surgeons and standardization in radicality, for cervical carcinoma Stage 1A1-1B1 from January 2009 to May 2014.

    MATERIALS & METHODS: Standardised surgical technique with Parametrium & Paracolpium resection approach was adopted by qualified and experienced Gynecologic/Gyne-Oncologic Endoscopic & Minimally Invasive Surgeons in performing Laparoscopic Radical Hysterectomy for Cervical Cancer stage 1A1-1B1 from January 2009-May 2014, involving 53 patients. Electronic Medical Record system (EMR) Of Chang Gung Memorial Hospital(Tertiary Referral Centre), Department of Obstetrics & Gynecology was accessed for surgical and oncologic outcomes.

    RESULTS: Fifty-Three patients operated from January 2009 to May 2014 were followed up for an average of 96.7 months with longest follow-up at 127 months. There were no cases of recurrence or death reported. 5 Year - Survival Rate and 5 Year Disease-Free Survival Rate were 100%. Two patients received post-operative pelvic radiation concurrent with chemotherapy using Cisplatin due to greater than 1/3 cervical stromal invasion.

    CONCLUSION: It is vital to standardize minimally invasive surgical techniques for early stage cervical cancer, with focus on adequate radicality and resection which may contribute to excellent survival outcomes. Further international multi-center randomized trial (Minimally Invasive Therapy Versus Open Radical Hysterectomy In Cervical Cancer) will provide justification for continued practice of MIS in early stage cervical cancer.

    Matched MeSH terms: Electronic Health Records
  8. Simon SK, Seldon HL
    Stud Health Technol Inform, 2012;182:125-32.
    PMID: 23138087
    A target of telehealth is to maintain or improve the health of people outside the normal healthcare infrastructure. A modern paradigm in healthcare, and one which fits perfectly with telehealth, is "person self-monitoring", and this fits with the concept of "personal health record" (PHR). One factor in maintaining health is to monitor physiological parameters; this is of course especially important in people with chronic maladies such as diabetes or heart disease. Parameters to be monitored include blood pressure, pulse rate, temperature, weight, blood glucose, oxygen saturation, electrocardiogram (ECG), etc. So one task within telehealth would be to help monitor an individual's physiological parameters outside of healthcare institutions and store the results in a PHR in a way which is available, comprehensible and beneficial to the individual concerned and to healthcare providers. To date many approaches to this problem have been fragmented - emphasizing only part of the problem - or proprietary and not freely verifiable. We describe a framework to approach this task; it emphasizes the implementation of standards for data acquisition, storage and transmission in order to maximize the compatibility among disparate components, e.g. various PHR systems. Data from mobile biosensors is collected on a smartphone using the IEEE 11073 standard where possible; the data can be stored in a PHR on the phone (using standard formats) or can be converted in real-time into more useful information in the PHR, which is based on the International Classification for Primary Care (ICPC2e). The phone PHR data or information can be uploaded to a central online PHR using either the Wi-Fi or GSM transmission protocol together with the Continuity of Care Record message format (CCR, ASTM E2369).
    Matched MeSH terms: Electronic Health Records/instrumentation; Electronic Health Records/organization & administration*
  9. Ghaibeh AA, Kasem A, Ng XJ, Nair HLK, Hirose J, Thiruchelvam V
    Stud Health Technol Inform, 2018;247:386-390.
    PMID: 29677988
    The analysis of Electronic Health Records (EHRs) is attracting a lot of research attention in the medical informatics domain. Hospitals and medical institutes started to use data mining techniques to gain new insights from the massive amounts of data that can be made available through EHRs. Researchers in the medical field have often used descriptive statistics and classical statistical methods to prove assumed medical hypotheses. However, discovering new insights from large amounts of data solely based on experts' observations is difficult. Using data mining techniques and visualizations, practitioners can find hidden knowledge, identify interesting patterns, or formulate new hypotheses to be further investigated. This paper describes a work in progress on using data mining methods to analyze clinical data of Nasopharyngeal Carcinoma (NPC) cancer patients. NPC is the fifth most common cancer among Malaysians, and the data analyzed in this study was collected from three states in Malaysia (Kuala Lumpur, Sabah and Sarawak), and is considered to be the largest up-to-date dataset of its kind. This research is addressing the issue of cancer recurrence after the completion of radiotherapy and chemotherapy treatment. We describe the procedure, problems, and insights gained during the process.
    Matched MeSH terms: Electronic Health Records
  10. El-Hassan O, Sharif A, Al Redha M, Blair I
    PMID: 29295053
    In the United Arab Emirates (UAE), health services have developed greatly in the past 40 years. To ensure they continue to meet the needs of the population, innovation and change are required including investment in a strong e-Health infrastructure with a single transferrable electronic patient record. In this paper, using the Emirate of Dubai as a case study, we report on the Middle East Electronic Medical Record Adoption Model (EMRAM). Between 2011-2016, the number of participating hospitals has increased from 23 to 33. Currently, while 20/33 of hospitals are at Stage 2 or less, 10/33 have reached Stage 5. Also Dubai's median EMRAM score in 2016 (2.5) was higher than the scores reported from Australia (2.2), New Zealand (2.3), Malaysia (0.06), the Philippines (0.06) and Thailand (0.5). EMRAM has allowed the tracking of the progress being made by healthcare facilities in Dubai towards upgrading their information technology infrastructure and the introduction of electronic medical records.
    Matched MeSH terms: Electronic Health Records*
  11. Bervell B, Al-Samarraie H
    Soc Sci Med, 2019 07;232:1-16.
    PMID: 31035241 DOI: 10.1016/j.socscimed.2019.04.024
    This study distinguished between the application of e-health and m-health technologies in sub-Saharan African (SSA) countries based on the dimensions of use, targeted diseases or health conditions, locations of use, and beneficiaries (types of patients or health workers) in a country specific context. It further characterized the main opportunities and challenges associated with these dimensions across the sub-region. A systematic review of the literature was conducted on 66 published peer reviewed articles. The review followed the scientific process of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines of identification, selection, assessment, synthesis and interpretation of findings. The results of the study showed that m-health was prevalent in usage for promoting information for treatment and prevention of diseases as well as serving as an effective technology for reminders towards adherence. For e-health, the uniqueness lay in data acquisition and patients' records management; diagnosis; training and recruitment. While m-health was never used for monitoring or training and recruitment, e-health on the other hand could not serve the purpose of reminders or for reporting cases from the field. Both technologies were however useful for adherence, diagnosis, disease control mechanisms, information provision, and decision-making/referrals. HIV/AIDS, malaria, and maternal (postnatal and antenatal) healthcare were important in both m-health and e-health interventions mostly concentrated in the rural settings of South Africa and Kenya. ICT infrastructure, trained personnel, illiteracy, lack of multilingual text and voice messages were major challenges hindering the effective usage of both m-health and e-health technologies.
    Matched MeSH terms: Electronic Health Records/organization & administration*
  12. Ali A, Ali H, Saeed A, Ahmed Khan A, Tin TT, Assam M, et al.
    Sensors (Basel), 2023 Sep 07;23(18).
    PMID: 37765797 DOI: 10.3390/s23187740
    The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge approach, leveraging blockchain technology and hybrid deep learning techniques to revolutionize healthcare systems. Blockchain technology provides a decentralized and transparent framework, enabling secure data storage, sharing, and access control. By integrating blockchain into healthcare systems, data integrity, privacy, and interoperability can be ensured while eliminating the reliance on centralized authorities. In conjunction with blockchain, hybrid deep learning techniques offer powerful capabilities for data analysis and decision making in healthcare. Combining the strengths of deep learning algorithms with traditional machine learning approaches, hybrid deep learning enables accurate and efficient processing of complex healthcare data, including medical records, images, and sensor data. This research proposes a permissions-based blockchain framework for scalable and secure healthcare systems, integrating hybrid deep learning models. The framework ensures that only authorized entities can access and modify sensitive health information, preserving patient privacy while facilitating seamless data sharing and collaboration among healthcare providers. Additionally, the hybrid deep learning models enable real-time analysis of large-scale healthcare data, facilitating timely diagnosis, treatment recommendations, and disease prediction. The integration of blockchain and hybrid deep learning presents numerous benefits, including enhanced scalability, improved security, interoperability, and informed decision making in healthcare systems. However, challenges such as computational complexity, regulatory compliance, and ethical considerations need to be addressed for successful implementation. By harnessing the potential of blockchain and hybrid deep learning, healthcare systems can overcome traditional limitations, promoting efficient and secure data management, personalized patient care, and advancements in medical research. The proposed framework lays the foundation for a future healthcare ecosystem that prioritizes scalability, security, and improved patient outcomes.
    Matched MeSH terms: Electronic Health Records
  13. Ali A, Al-Rimy BAS, Tin TT, Altamimi SN, Qasem SN, Saeed F
    Sensors (Basel), 2023 Aug 28;23(17).
    PMID: 37687931 DOI: 10.3390/s23177476
    Precision medicine has emerged as a transformative approach to healthcare, aiming to deliver personalized treatments and therapies tailored to individual patients. However, the realization of precision medicine relies heavily on the availability of comprehensive and diverse medical data. In this context, blockchain-enabled federated learning, coupled with electronic medical records (EMRs), presents a groundbreaking solution to unlock revolutionary insights in precision medicine. This abstract explores the potential of blockchain technology to empower precision medicine by enabling secure and decentralized data sharing and analysis. By leveraging blockchain's immutability, transparency, and cryptographic protocols, federated learning can be conducted on distributed EMR datasets without compromising patient privacy. The integration of blockchain technology ensures data integrity, traceability, and consent management, thereby addressing critical concerns associated with data privacy and security. Through the federated learning paradigm, healthcare institutions and research organizations can collaboratively train machine learning models on locally stored EMR data, without the need for data centralization. The blockchain acts as a decentralized ledger, securely recording the training process and aggregating model updates while preserving data privacy at its source. This approach allows the discovery of patterns, correlations, and novel insights across a wide range of medical conditions and patient populations. By unlocking revolutionary insights through blockchain-enabled federated learning and EMRs, precision medicine can revolutionize healthcare delivery. This paradigm shift has the potential to improve diagnosis accuracy, optimize treatment plans, identify subpopulations for clinical trials, and expedite the development of novel therapies. Furthermore, the transparent and auditable nature of blockchain technology enhances trust among stakeholders, enabling greater collaboration, data sharing, and collective intelligence in the pursuit of advancing precision medicine. In conclusion, this abstract highlights the transformative potential of blockchain-enabled federated learning in empowering precision medicine. By unlocking revolutionary insights from diverse and distributed EMR datasets, this approach paves the way for a future where healthcare is personalized, efficient, and tailored to the unique needs of each patient.
    Matched MeSH terms: Electronic Health Records
  14. Chet LS, Hamid SAA, Bachok N, Chidambaram SK, Adnan WNAW
    Saudi J Med Med Sci, 2021 04 29;9(2):135-144.
    PMID: 34084104 DOI: 10.4103/sjmms.sjmms_72_20
    Background: Antiretroviral therapy (ART) has transformed the management of human immunodeficiency virus (HIV) infection and significantly improved survival rates, but there is lack of such survival data from Malaysia.

    Objective: The objective was to determine the survival rates and prognostic factors of survival in HIV-infected adults treated with ART in Malaysia.

    Materials and Methods: This retrospective cohort study considered all HIV-positive adult patients registered in Sungai Buloh Hospital, a major referral center in Malaysia, between January 1, 2007 and December 31, 2016. Then, patients were selected through a systematic sampling method. Demographic, clinical, and treatment data were extracted from electronic medical records. Person-years at risk and incidence of mortality rate per 100 person-years were calculated. The Kaplan-Meier survival curve and log-rank test were used to compare the overall survival rates. Cox proportional hazards regression was applied to determine the prognostic factors for survival.

    Results: A total of 339 patients were included. The estimated overall survival rates were 93.8%, 90.4%, 84.9%, and 72.8% at 1, 3, 5, and 10 years, respectively, from ART initiation. The results of multiple Cox proportional hazard regression indicated that anemic patients were at a 3.76 times higher risk of mortality (95% confidence interval [CI]: 1.97-7.18; P < 0.001). The hazard risk was 2.09 times higher for HIV patients co-infected with tuberculosis (95% CI: 1.10, 3.96; P = 0.024).

    Conclusion: The overall survival rates among HIV-infected adults in this study are higher than that from low-income countries but lower than that from high-income countries. Low baseline hemoglobin levels of <11 g/dL and tuberculosis co-infection were strong prognostic factors for survival.

    Matched MeSH terms: Electronic Health Records
  15. Salmasi S, Wimmer BC, Khan TM, Zaidi STR, Ming LC
    Res Social Adm Pharm, 2018 Feb;14(2):207-209.
    PMID: 28330781 DOI: 10.1016/j.sapharm.2017.02.015
    Matched MeSH terms: Electronic Health Records
  16. Haddad A, Habaebi MH, Elsheikh EAA, Islam MR, Zabidi SA, Suliman FEM
    PLoS One, 2024;19(4):e0301371.
    PMID: 38557695 DOI: 10.1371/journal.pone.0301371
    To secure sensitive medical records in the healthcare clouds, this paper proposes an End-to-End Encryption (E2EE) to enhance a patient-centric blockchain-based system for electronic health record (EHR) management. The suggested system with a focus on the patient enables individuals to oversee their medical records within various involved parties by authorizing or withdrawing permission for access to their records. Utilizing the inter-planetary file system (IPFS) for record storage is chosen due to its decentralized nature and its ability to guarantee the unchangeability of records. Then an E2EE enhancement maintains the medical data integrity using dual level-Hybrid encryption: symmetric Advanced Encryption Standard (AES) and asymmetric Elliptic Curve Cryptography (ECC) cryptographic techniques. The proposed system is implemented using the Ethereum blockchain system for EHR data sharing and integration utilizing a web-based interface for the patient and all users to initiate the EHR sharing transactions over the IPFS cloud. The proposed system performance is evaluated in a working system prototype. For different file sizes between 512 KB to 100 MB, the performance metrics used to evaluate the proposed system were the time consumed for generating key, encryption, and decryption. The results demonstrate the proposed system's superiority over other cutting-edge systems and its practical ability to share secure health data in cloud environments.
    Matched MeSH terms: Electronic Health Records
  17. Schüz J, Fored M
    Methods Inf Med, 2017 Aug 11;56(4):328-329.
    PMID: 28726979 DOI: 10.3414/ME17-14-0004
    BACKGROUND: This accompanying editorial is an introduction to the focus theme of "chronic disease registries - trends and challenges".

    METHODS: A call for papers was announced on the website of Methods of Information in Medicine in April 2016 with submission deadline in September 2016. A peer review process was established to select the papers for the focus theme, managed by two guest editors.

    RESULTS: Three papers were selected to be included in the focus theme. Topics range from contributions to patient care through implementation of clinical decision support functionality in clinical registries; analysing similar-purposed acute coronary syndrome registries of two countries and their registry-to-SNOMED CT maps; and data extraction for speciality population registries from electronic health record data rather than manual abstraction.

    CONCLUSIONS: The focus theme gives insight into new developments related to disease registration. This applies to technical challenges such as data linkage and data as well as data structure abstraction, but also the utilisation for clinical decision making.

    Matched MeSH terms: Electronic Health Records
  18. Ibrahim AA, Ahmad Zamzuri M'I, Ismail R, Ariffin AH, Ismail A, Muhamad Hasani MH, et al.
    Medicine (Baltimore), 2022 Jul 29;101(30):e29627.
    PMID: 35905245 DOI: 10.1097/MD.0000000000029627
    The Teleprimary Care-Oral Health Clinical Information System (TPC-OHCIS) is an updated electronic medical record (EMR) that has been applied in Malaysian primary healthcare. Recognizing the level of patient satisfaction following EMR implementation is crucial for assessing the performance of health care services. Hence, the main objective of this study was to compare the level of patient satisfaction between EMR-based clinics and paper-based clinics. The study was a quasi-experimental design that used a control group and was conducted among patients in 14 public primary healthcare facilities in the Seremban district of Malaysia from May 10, to June 30, 2021. Patient satisfaction was assessed using the validated Short-Form Patient Satisfaction Questionnaire, which consisted of 7 subscales. All data were analyzed using the IBM Statistical Package for Social Sciences version 21. A total of 321 patients consented to participate in this study, and 48.9% of them were from EMR clinics. The mean score for the communication subscale was the highest at 4.08 and 3.96 at EMR-adopted clinics and paper-based record clinics. There were significant differences in general satisfaction and communication subscales, with higher patient satisfaction found in clinics using EMR. With the utilization of EMR, patient satisfaction and communication in delivering healthcare services have improved.
    Matched MeSH terms: Electronic Health Records*
  19. Goh CC, Koh KH, Goh S, Koh Y, Tan NC
    Malays Fam Physician, 2018;13(2):10-18.
    PMID: 30302178
    Introduction: Achieving optimal glycated hemoglobin (HbA1c), blood pressure (BP), and LDL-Cholesterol (LDL-C) in patients mitigates macro- and micro-vascular complications, which is the key treatment goal in managing type 2 diabetes mellitus (T2DM). This study aimed to determine the proportion of patients in an urban community with T2DM and the above modifiable conditions attaining triple vascular treatment goals based on current practice guidelines.

    Methods: A questionnaire was distributed to adult Asian patients with dyslipidemia at two primary care clinics (polyclinics) in northeastern Singapore. The demographic and clinical data for this sub-population with both T2DM and dyslipidemia were collated with laboratory and treatment information retrieved from their electronic health records. The combined data was then analyzed to determine the proportion of patients who attained triple treatment goals, and logistic regression analysis was used to identify factors associated with this outcome.

    Results: 665 eligible patients [60.5% female, 30.5% Chinese, 35% Malays, and 34.4% Indians] with a mean age of 60.6 years were recruited. Of these patients, 71% achieved LDL-C ≤2.6 mmol/L, 70.4% had BP

    Matched MeSH terms: Electronic Health Records
  20. Nurul Salwana Abu Bakar, Jabrullah Abdul Hamid, Sharifah Zawani Syed Ahmad Yunus, Nurul Syarbani Eliana Musa, Roslinda Abu Sapian, Nur Hidayati Abdul Halim, et al.
    MyJurnal
    Introduction: Electronic medical records from hospital information system (HIS) offer a major potential for secondary data analysis which can improve the efficiency of healthcare delivery. This study describes an initiative to use HIS data to explore the level of diabetic care in patients with T2DM in a hospital-based outpatient clinic, the advantages and challenges in utilising HIS data. Methods: Patients age of 18 and above who received any diabetes medication in 2013 were retrospectively identified from HIS of Serdang Hospital. Demographic characteristics, anti-diabetic agent (ADA) dispensed, and glycaemic measures were quantified. Data was extracted using structured query lan- guage (SQL) and descriptive statistical analyses were conducted using Stata Version 12. Results: Prevalence of T2DM patients in the hospital was 7.5%. Male had slightly higher prevalence and patient at age of 61-70 years old. About 62% of patients were prescribed with metformin and 5% of newer combination of oral hypoglycemic agent. In pre- scribing pattern, stratification by age group, showed that patient age 41 to 70 years received mostly monotherapy, whilst 61.1% continue their regime for the year. Only 18% obtained good glycaemic control. Conclusion: Hospital Information system is a critical instrument in providing data as a platform in diabetic care in an outpatient care. Moving forward, steps to improve HIS should be taken to seize its potential as a tool to increase the efficiency of healthcare delivery.
    Matched MeSH terms: Electronic Health Records
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