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https://www.readbyqxmd.com/read/28930301/night-shift-work-and-risk-of-compromised-visual-acuity-among-the-workers-in-an-electronics-manufacturing-company
#1
Yu-Cheng Lin, Kuo-Jung Ho
OBJECTIVES: To evaluate the association between night-shift work exposure and visual health, this cross-sectional study utilized visual acuity, a surrogate measure for visual function, as a parameter, and performed an analysis comparing visual acuity between daytime and nighttime employees in an electronics manufacturing company. MATERIAL AND METHODS: Data of personal histories, occupational records, physical examinations and blood tests was obtained from the electronic health records of workers...
September 20, 2017: International Journal of Occupational Medicine and Environmental Health
https://www.readbyqxmd.com/read/28928111/personalized-hypertension-management-using-patient-generated-health-data-integrated-with-electronic-health-records-empower-h-six-month-pre-post-study
#2
Nan Lv, Lan Xiao, Martha L Simmons, Lisa G Rosas, Albert Chan, Martin Entwistle
BACKGROUND: EMPOWER-H (Engaging and Motivating Patients Online With Enhanced Resources-Hypertension) is a personalized-care model facilitating engagement in hypertension self-management utilizing an interactive Web-based disease management system integrated with the electronic health record. The model is designed to support timely patient-provider interaction by incorporating decision support technology to individualize care and provide personalized feedback for patients with chronic disease...
September 19, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28913330/resurgence-of-diphtheria-in-north-kerala-india-2016-laboratory-supported-case-based-surveillance-outcomes
#3
Lucky Sangal, Sudhir Joshi, Shalini Anandan, Veeraraghavan Balaji, Jaichand Johnson, Asish Satapathy, Pradeep Haldar, Ramesh Rayru, Srinath Ramamurthy, Asha Raghavan, Pankaj Bhatnagar
INTRODUCTION: As part of national program, laboratory supported vaccine preventable diseases surveillance was initiated in Kerala in 2015. Mechanisms have been strengthened for case investigation, reporting, and data management. Specimens collected and sent to state and reference laboratories for confirmation and molecular surveillance. The major objective of this study is to understand the epidemiological information generated through surveillance system and its utilization for action...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28902377/-implementation-of-the-national-guidelines-for-the-treatment-of-diabetes-mellitus-type-2-in-secondary-diabetes-centers
#4
Lydia Marahrens, Daniel Röck, Tjalf Ziemssen, Raimar Kern, Focke Ziemssen, Andreas Fritsche
Background The German National Disease Management Guideline (NVL) on treatment of Type 2 Diabetes recommends lowering of blood glucose in four therapy steps. There is little evidence, how NVL is implemented for the individual patients. Methods 810 patients in secondary diabetes centers were examined within the DiabCheck(OCTplus) trial. Data about the patient's health status (electronic medical record) were classified according to the NVL treatment steps. The degree of implementation was assessed for every person with diabetes type 2 (NCT02 311 504)...
September 2017: Deutsche Medizinische Wochenschrift
https://www.readbyqxmd.com/read/28898194/correlate-a-pacs-and-ehr-integrated-tool-leveraging-natural-language-processing-to-provide-automated-clinical-follow-up
#5
Mark D Kovacs, Joseph Mesterhazy, David Avrin, Thomas Urbania, John Mongan
A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictated. Traditional methods, such as keeping medical record number follow-up lists, discussing cases with rounding clinical teams, and discussing cases at tumor boards, are effective at keeping radiologists informed of clinical outcomes but are time intensive and provide follow-up for a small subset of cases. To this end, the authors developed a picture archiving and communication system-accessible electronic health record (EHR)-integrated program called Correlate, which allows the user to easily enter free-text search queries regarding desired clinical follow-up information, with minimal interruption to the workflow...
September 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/28893101/improving-hepatitis-c-identification-technology-alone-is-not-the-answer
#6
Bruce Nitsche, Sara C Miller, Margaret Giorgio, Carolyn A Berry, Andrew Muir
An estimated 3 to 5 million Americans are chronically infected with hepatitis C virus (HCV), and approximately 75% of those persons were born between 1945 and 1965 (the so-called baby boomer generation). Because of the largely asymptomatic nature of HCV, up to 50% of those infected are unaware of their disease. Risk-based testing has been largely ineffective. Based on prevalence data, the Centers for Disease Control and Prevention and other organizations recommend a onetime HCV antibody test for all baby boomers...
September 1, 2017: Health Promotion Practice
https://www.readbyqxmd.com/read/28887351/using-predictive-analytics-and-big-data-to-optimize-pharmaceutical-outcomes
#7
Inmaculada Hernandez, Yuting Zhang
PURPOSE: The steps involved, the resources needed, and the challenges associated with applying predictive analytics in healthcare are described, with a review of successful applications of predictive analytics in implementing population health management interventions that target medication-related patient outcomes. SUMMARY: In healthcare, the term big data typically refers to large quantities of electronic health record, administrative claims, and clinical trial data as well as data collected from smartphone applications, wearable devices, social media, and personal genomics services; predictive analytics refers to innovative methods of analysis developed to overcome challenges associated with big data, including a variety of statistical techniques ranging from predictive modeling to machine learning to data mining...
September 15, 2017: American Journal of Health-system Pharmacy: AJHP
https://www.readbyqxmd.com/read/28881318/alcohol-and-substance-use-diagnoses-among-hiv-positive-patients-receiving-care-in-nyc-clinic-settings
#8
Sitaji Gurung, Ana Ventuneac, Demetria Cain, Chloe Mirzayi, Christopher Ferraris, H Jonathon Rendina, Martha A Sparks, Jeffrey T Parsons
BACKGROUND: Substance use among HIV-positive persons exacerbates health problems. This study sought to estimate the prevalence of alcohol and drug-use diagnoses and examined hypothesized predictors associated with alcohol and drug-use diagnoses among HIV-positive patients in New York City (NYC). METHODS: This cohort study reviewed electronic medical records (EMRs) of 4965 HIV-positive patients based on diagnostic codes. These patients attended a comprehensive care clinic in NYC in 2012...
August 24, 2017: Drug and Alcohol Dependence
https://www.readbyqxmd.com/read/28875056/blogs-as-channels-for-disseminating-health-technology-innovations
#9
Ashish Joshi, Rinzin Wangmo, Chioma Amadi
OBJECTIVES: The objective of this study was to describe the features of health informatics blogs on the Internet. METHODS: A search was conducted in August, 2016 using the search engine, Google, and key words: 'mobile health blog,' 'telehealth/telemedicine blog,' 'Electronic Health Record blog,' 'personalized health record blog,' 'population health decision support system blog,' and 'public/population health dashboard blog.' The first 24 blogs resulting from each key word search were recorded, generating 144 blogs...
July 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/28872765/digital-therapy-in-diabetes
#10
REVIEW
Avivit Cahn, Amit Akirov, Itamar Raz
Diabetes care is largely dependent on patient self-management and empowerment, given that patients with diabetes must make numerous daily decisions of what to eat, when to exercise, and determine their insulin dose and timing if required. Additionally, patients and providers are generating vast amounts of data from many sources including electronic medical records, insulin pumps, sensors, glucometers, other wearables, as well as evolving genomic, proteomic, metabolomic and microbiomic data. Multiple digital tools and apps have been developed to assist patients to choose wisely, as well as enhance their compliance by employing motivational tools and incorporating incentives from social media and gaming techniques...
September 5, 2017: Journal of Diabetes
https://www.readbyqxmd.com/read/28870383/advancing-alzheimer-s-research-a-review-of-big-data-promises
#11
REVIEW
Rui Zhang, Gyorgy Simon, Fang Yu
OBJECTIVE: To review the current state of science using big data to advance Alzheimer's disease (AD) research and practice. In particular, we analyzed the types of research foci addressed, corresponding methods employed and study findings reported using big data in AD. METHOD: Systematic review was conducted for articles published in PubMed from January 1, 2010 through December 31, 2015. Keywords with AD and big data analytics were used for literature retrieval...
October 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28866586/eventthread-visual-summarization-and-stage-analysis-of-event-sequence-data
#12
Shunan Guo, Ke Xu, Rongwen Zhao, David Gotz, Hongyuan Zha, Nan Cao
Event sequence data such as electronic health records, a person's academic records, or car service records, are ordered series of events which have occurred over a period of time. Analyzing collections of event sequences can reveal common or semantically important sequential patterns. For example, event sequence analysis might reveal frequently used care plans for treating a disease, typical publishing patterns of professors, and the patterns of service that result in a well-maintained car. It is challenging, however, to visually explore large numbers of event sequences, or sequences with large numbers of event types...
August 29, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28864052/the-health-literacy-demands-of-electronic-personal-health-records-e-phrs-an-integrative-review-to-inform-future-inclusive-research
#13
REVIEW
Bronwyn Hemsley, Megan Rollo, Andrew Georgiou, Susan Balandin, Sophie Hill
OBJECTIVE: To integrate the findings of research on electronic personal health records (e-PHRs) for an understanding of their health literacy demands on both patients and providers. METHODS: We sought peer-reviewed primary research in English addressing the health literacy demands of e-PHRs that are online and allow patients any degree of control or input to the record. A synthesis of three theoretical models was used to frame the analysis of 24 studies. RESULTS: e-PHRs pose a wide range of health literacy demands on both patients and health service providers...
July 11, 2017: Patient Education and Counseling
https://www.readbyqxmd.com/read/28855857/a-health-information-system-for-scalable-and-comprehensive-assessment-of-well-being-a-multidisciplinary-team-solution
#14
Leming Zhou, Valerie Watzlaf, Paul Abernathy, Mervat Abdelhak
To improve the health and well-being of the medically underserved in a free clinic in Pittsburgh, Pennsylvania, a multidisciplinary team representing several health information management and information technology (IT) professionals, including faculty, students, researchers, and clinicians, created a novel IT system called imHealthy. The imHealthy system includes four critical components: a multidomain well-being questionnaire, a mobile app for data collection and tracking, a customization of an open-source electronic health record (EHR), and a data integration and well-being evaluation program leading to recommendations for personalized interventions to caregivers serving the medically underserved...
2017: Perspectives in Health Information Management
https://www.readbyqxmd.com/read/28852666/designing-a-model-of-patient-tracking-system-for-natural-disaster-in-iran
#15
Nahid Tavakoli, Mohammad H Yarmohammadian, Reza Safdari, Mahmoud Keyvanara
CONTEXT: Disaster patient tracking consists of identifying and registering patients, recording data on their medical conditions, settings priorities for evacuation of scene, locating the patients from scene to health care centers and then till completion of treatment and discharge. AIM: The aim of this study was to design a model of patient tracking system for natural disaster in Iran. MATERIALS AND METHODS: This applied study was conducted in two steps in 2016...
2017: Journal of Education and Health Promotion
https://www.readbyqxmd.com/read/28852559/clinical-genomics-big-data-and-electronic-medical-records-reconciling-patient-rights-with-research-when-privacy-and-science-collide
#16
Jennifer Kulynych, Henry T Greely
Widespread use of medical records for research, without consent, attracts little scrutiny compared to biospecimen research, where concerns about genomic privacy prompted recent federal proposals to mandate consent. This paper explores an important consequence of the proliferation of electronic health records (EHRs) in this permissive atmosphere: with the advent of clinical gene sequencing, EHR-based secondary research poses genetic privacy risks akin to those of biospecimen research, yet regulators still permit researchers to call gene sequence data 'de-identified', removing such data from the protection of the federal Privacy Rule and federal human subjects regulations...
April 2017: Journal of Law and the Biosciences
https://www.readbyqxmd.com/read/28815150/identifying-psychiatric-comorbidities-for-obstructive-sleep-apnea-in-the-biomedical-literature-and-electronic-health-record
#17
Jessica M Haddad, Elizabeth S Chen
Obstructive sleep apnea (OSA) is one of the most common diseases among Americans, affecting between 5 and 20% of the population. While there is existing evidence of numerous comorbid conditions, such as obesity, diabetes, and high blood pressure, the vast majority of this evidence has focused explicitly on cardiovascular morbidities and excluded any mental or behavioral disorders. The goal of this study was to examine psychiatric comorbidities of OSA in two types of sources: (1) biomedical literature in the MEDLINE/PubMed database (focusing on MeSH descriptors) and Semantic MEDLINE Database (SemMedDB; for semantic predications), and (2) electronic health record data in the MIMIC-III database...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28806233/enhancing-key-competencies-of-health-professionals-in-the-assessment-and-care-of-adults-at-risk-of-suicide-through-education-and-technology
#18
Kathryn Ryan, Claudia Tindall, Gillian Strudwick
PURPOSE: This article describes efforts undertaken to improve the clinical competencies of health professionals in the area of suicide risk assessment, documentation, and care planning. DESCRIPTION OF THE PROJECT: Best practices that fit the mental health and addictions setting were identified from the Registered Nurses' Association of Ontario Best Practice Guideline on Assessment and Care of Adults at Risk for Suicidal Ideation and Behaviour. A variety of methods were used to implement the guidelines at the Centre for Addiction and Mental Health in Toronto, Ontario, Canada...
September 2017: Clinical Nurse Specialist CNS
https://www.readbyqxmd.com/read/28803270/costs-of-vitamin-d-testing-and-prescribing-among-children-in-primary-care
#19
Emre Basatemur, Rachael Hunter, Laura Horsfall, Alastair Sutcliffe, Greta Rait
Vitamin D has attracted considerable interest in recent years, with a marked increase in diagnosis of vitamin D deficiency seen among children in clinical practice in the UK. The economic implications of this change in diagnostic behaviour have not been explored. We performed a cohort study to examine longitudinal trends in healthcare expenditure arising from vitamin D testing and prescribing for children in primary care in England, using the electronic healthcare records of 722,525 children aged 0-17 years held in The Health Improvement Network database...
August 12, 2017: European Journal of Pediatrics
https://www.readbyqxmd.com/read/28798013/an-electronic-health-record-based-strategy-to-systematically-assess-medication-use-among-primary-care-patients-with-multidrug-regimens-feasibility-study
#20
Stacy Cooper Bailey, Christine U Oramasionwu, Alexandra C Infanzon, Emily R Pfaff, Izabela E Annis, Daniel S Reuland
BACKGROUND: Medication nonadherence and misuse are public health and patient safety concerns. With the increased adoption of electronic health records (EHRs), greater opportunities exist to communicate directly with, and collect data from, patients through secure portals linked to EHRs. OBJECTIVE: The study objectives were to develop and pilot test a method of monitoring patient medication use in outpatient settings and determine the feasibility and acceptability of this approach...
August 10, 2017: JMIR Research Protocols
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