scholarly journals Publicly Verifiable Vibrant Digital Medical Information Systems

2021 ◽  
Vol 2089 (1) ◽  
pp. 012074
Author(s):  
Shaik Sumi Anju ◽  
BSN Sravani ◽  
Srinivasa Rao Madala
Keyword(s):  
Medical Information ◽  
Significant Risk ◽  
Third Sector ◽  
Daily Basis ◽  
Cloud Provider ◽  
User Centered Design ◽  
Patient Privacy ◽  
Medical Information Systems ◽  
Privacy Analysis ◽  
The Right

Abstract As data processing advances, decentralized media has been widely recognized for its ability to store large amounts of data. By comparing a revisited content to a dispersed repository, a cloud provider may verify the document’s integrity without having to retrieve it. A reconsidered examining strategy is offered to lead the customer to reconsider the significant assessing task to third sector inspector, taking into consideration the important computing cost brought up by the checking process (TPA). TPA may be deterred by the primary revisited evaluating strategy, but the second plan gives the harmful organization the right of inspection over the readdressed data of users, which poses a significant risk to patient privacy. Human Emphasis for reconsidered inspection is presented in this work, which emphasizes that the service user can be overwhelmed by her own data. Based on user-centered design, our suggested methodology not only prevents patient’s data from leaking to TPA without depending on cryptographic algorithms, but can also avoid the use of additional free unpredictable supply that is impossible to fulfill on a daily basis. Also, we start to make our approach work with continuous changes. Our recommended scheme is both verifiably safe and essentially productive, as shown by the privacy analysis and test evaluations.

scholarly journals The Reasonable Accommodation of Employees with Cancer and their Right to Privacy in the Workplace

2018 ◽  
Vol 21 ◽  
pp. 1-31
Author(s):  
Charles Maimela
Keyword(s):  
Medical Information ◽  
Daily Basis ◽  
Health Conditions ◽  
Reasonable Accommodation ◽  
Right To Privacy ◽  
The Right To Privacy ◽  
The Right

The duty of employers to reasonably accommodate employees living with disabilities is fundamental and is invoked on a daily basis in response to various health conditions which employees experience, such as cancer. While executing this fundamental duty, employers must be mindful of other rights which employees have, such as the right to privacy. Employers run the risk of violating the employees' right to privacy in the process of accommodating them if the employer discloses confidential medical information which must be used only for the purpose of making accommodations for the employee concerned, in this context an employee with cancer. This paper focuses on the duty of employers to reasonably accommodate such employees, and the right to privacy of the employees. Further, this paper aims to investigate if a balance can be maintained between the duty of the employer to make such accommodations and the right to privacy of the employees    

A Comprehensive Model for Medical Information Processing

1983 ◽  
Vol 22 (03) ◽  
pp. 124-130 ◽  
Author(s):  
J. H. Bemmel
Keyword(s):  
Intensive Care ◽  
Information Processing ◽  
Medical Information ◽  
Computer Applications ◽  
Human Interaction ◽  
Comprehensive Model ◽  
Computers In Medicine ◽  
Medical Information Systems ◽  
Research And Education ◽  
The Many

At first sight, the many applications of computers in medicine—from payroll and registration systems to computerized tomography, intensive care and diagnostics—do make a rather chaotic impression. The purpose of this article is to propose a scheme or working model for putting medical information systems in order. The model comprises six »levels of complexity«, running parallel to dependence on human interaction. Several examples are treated to illustrate the scheme. The reason why certain computer applications are more frequently used than others is analyzed. It has to be strongly considered that the differences in complexity and dependence on human involvement are not accidental but fundamental. This has consequences for research and education which are also discussed.

scholarly journals P005 Rheumatology virtual clinics during COVID-19: are our patients satisfied?

Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Fajer A Altamimi ◽  
Una Martin
Keyword(s):  
Medical Information ◽  
Worker Safety ◽  
University Hospital ◽  
Free Text ◽  
Risk Of Infection ◽  
Further Training ◽  
Return Envelope ◽  
The Right ◽  
Reduced Risk

Abstract Background/Aims  Telemedicine can be broadly defined as the use of telecommunication technologies to provide medical information and services. It can be audio, visual, or text. Its use has increased dramatically during the COVID-19 pandemic to ensure patient and healthcare worker safety. Any healthcare professional can engage with it. It carries benefits like reduced stress and expense of traveling, maintenance of social distancing, and reduced risk of infection. There are some potential drawbacks such as lack of physical examination, liability and technological issues. Methods  A questionnaire was sent to 200 patients, selected from different virtual clinics (new and review, doctor and ANP led) run between March and May 2020 in the rheumatology department of University Hospital Waterford. We formulated 14 questions to cover the following aspects: demography, the purpose of the consult, punctuality, feedback, medico-legal concerns, and free text for comments. A self-addressed return envelope was included. Results  83 responses were received. 2 were excluded. The ratio of females to male respondents was 59: 41, with the majority over 60 years old. The main appointment type was review 67 (83%). 80% of patients were called either before or at the time of their scheduled appointment. The vast majority (98.8%) of our patients had confidence in our data protection and trusted our system to maintain their confidentiality. 95% stated that they felt comfortable, were given enough time to explain their health problem and felt free from stress. The respondents who preferred attending the clinic in person (17 in total) compared to the virtual were mostly follow up patients- 12 vs. 5 new. Conclusion  Patient satisfaction among those surveyed was high, despite having to introduce the service abruptly during the COVID-19 pandemic. There are many improvements we can adopt to improve our service and even maintain after the pandemic as a way of communicating with our stable patients. As we are covering a large geographical catchment, we can continue to implement the virtual clinic for some appointments. We should prioritize our efforts on identifying the right patient and the type of service we can offer, further training of staff, and increasing awareness of the patients as to how to get the most out of a virtual appointment. Disclosure  F.A. Altamimi: None. U. Martin: None. C. Sheehy: None.

scholarly journals Recurrence hernia in the broad ligament of the uterus: a case report

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Yoshifumi Hashimoto ◽  
Tatsuo Kanda ◽  
Tadasu Chida ◽  
Kazuyoshi Suda
Keyword(s):  
Small Bowel ◽  
Rare Disease ◽  
Broad Ligament ◽  
Significant Risk ◽  
Disease Recurrence ◽  
The Right ◽  
Enhanced Computed Tomography ◽  
Bowel Segments ◽  
Hernia Orifice ◽  
Bowel Herniation

Abstract Background Bowel herniation through a defect in the broad ligament of the uterus is a rare disease and few cases of recurrence have been reported. We report herein a recurrence case of a patient with broad ligament hernia (BLH), along with a review of the literature. Case presentation A 53-year-old woman complaining of abdominal pain was transported to our hospital. She had a history of laparotomy for small-bowel obstruction associated with hernia in the broad ligament of the uterus 10 years ago at a local hospital. Abdominal pelvic contrast-enhanced computed tomography revealed that the mesentery of the dilated bowels converged at a thick band in the pelvis, suggesting closed loop obstruction of the small bowel. The patient underwent urgent laparotomy and was diagnosed with bowel herniation through an opening in the broad ligament of the uterus on the right side, which was ipsilateral with the previous surgery. The hernia orifice was widened by incision and incarcerated bowel segments were released and preserved because ischemia was reversible. The membranous defect of BLH was closed by suture with braded silk strings. Conclusions Although BLH is a rare disease, patients face a significant risk of disease recurrence. Nonabsorbable suture may be advisable for closure of the hernia orifice in BLH.

scholarly journals Tailings facility disclosures reveal stability risks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniel M. Franks ◽  
Martin Stringer ◽  
Luis A. Torres-Cruz ◽  
Elaine Baker ◽  
Rick Valenta ◽  
...  
Keyword(s):  
Information Disclosure ◽  
Significant Risk ◽  
Construction Method ◽  
Facility Management ◽  
Alternative Technologies ◽  
Construction Methods ◽  
Comprehensive Survey ◽  
Engineering Standards ◽  
The Right ◽  
Stability Issues

AbstractTailings facility failures represent a significant risk to the environment and communities globally, but until now little data was available on the global distribution of risks and characteristics of facilities to ensure proper governance. We conducted a survey and compiled a database with information on tailings facilities disclosed by extractive companies at the request of institutional investors. Despite limitations in the data, this information disclosure request represents the most comprehensive survey of tailings facilities ever undertaken. The compiled dataset includes 1743 tailings facilities and provides insights into a range of topics including construction method, stability, consequence of failure, stored volume, and the rate of uptake of alternative technologies to dewater tailings and reduce geotechnical risk. Our analysis reveals that 10 per cent of tailings facilities reported notable stability concerns or failure to be confirmed or certified as stable at some point in their history, with distinct trends according to construction method, governance, age, height, volume and seismic hazard. Controversy has surrounded the safety of tailings facilities, most notably upstream facilities, for many years but in the absence of definitive empirical data differentiating the risks of different facility types, upstream facilities have continued to be used widely by the industry and a consensus has emerged that upstream facilities can theoretically be built safely under the right circumstances. Our findings reveal that in practice active upstream facilities report a higher incidence of stability issues (18.3%) than other facility types, and that this elevated risk persists even when these facilities are built in high governance settings. In-pit/natural landform and dry-stack facilities report lower incidence of stability issues, though the rate of stability issues is significant by engineering standards (> 2 per cent) across all construction methods, highlighting the universal importance of careful facility management and governance. The insights reported here can assist the global governance of tailings facility stability risks.

P2426Validating the diagnostic value of a machine learning algorithm for STEMI detection

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Mehta ◽  
R Botelho ◽  
F Fernandez ◽  
C Villagran ◽  
A Frauenfelder ◽  
...  
Keyword(s):  
Medical Information ◽  
Learning Algorithm ◽  
Artery Bypass ◽  
Hospital Setting ◽  
Coronary Intervention ◽  
Diagnostic Value ◽  
Retrospective Case ◽  
Percutaneous Coronary ◽  
St Elevation ◽  
The Right

Abstract Background We have previously reported the use of Artificial Intelligence (AI) guided EKG analysis for detection of ST-Elevation Myocardial Infarction (STEMI). To demonstrate the diagnostic value of our algorithm, we compared AI predictions with reports that were confirmed as STEMI. Purpose To demonstrate the absolute proficiency of AI for detecting STEMI in a standard12-lead EKG. Methods An observational, retrospective, case-control study. Sample: 5,087 EKG records, including 2,543 confirmed STEMI cases obtained via feedback from health centers following appropriate patient management (thrombolysis, primary Percutaneous Coronary Intervention (PCI), pharmacoinvasive therapy or coronary artery bypass surgery). Records excluded patient and medical information. The sample was derived from the International Telemedical Systems (ITMS) database. LUMENGT-AI Algorithm was employed. Preprocessing: detection of QRS complexes by wavelet system, segmentation of each EKG into individual heartbeats (53,667 total beats) with fixed window of 0.4s to the left and 0.9s to the right of main QRS; Classification: A 1-D convolutional neural network was implemented, “STEMI” and “Not-STEMI” classes were considered for each heartbeat, individual probabilities were aggregated to generate the final label for each record. Training & Testing: 90% and 10% of the sample were used, respectively. Experiments: Intel PC i7 8750H processor at 2.21GHz, 16GB RAM, Windows 10 OS with NVIDIA GTX 1070 GPU, 8GB RAM. Results The model yielded an accuracy of 97.2%, a sensitivity of 95.8%, and a specificity of 98.5%. Conclusion(s) Our AI-based algorithm can reliably diagnose STEMI and will preclude the role of a cardiologist for screening and diagnosis, especially in the pre-hospital setting.

Extracting Medical Information from Paper COVID-19 Assessment Forms

2021 ◽  
Vol 12 (01) ◽  
pp. 170-178
Author(s):  
Jacob D. Schultz ◽  
Colin G. White-Dzuro ◽  
Cheng Ye ◽  
Joseph R. Coco ◽  
Janet M. Myers ◽  
...  
Keyword(s):  
User Interface ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Medical Information ◽  
Medical Center ◽  
Data Validation ◽  
Average Accuracy ◽  
Medical Documents ◽  
Optical Mark Recognition ◽  
The Right

Abstract Objective This study examines the validity of optical mark recognition, a novel user interface, and crowdsourced data validation to rapidly digitize and extract data from paper COVID-19 assessment forms at a large medical center. Methods An optical mark recognition/optical character recognition (OMR/OCR) system was developed to identify fields that were selected on 2,814 paper assessment forms, each with 141 fields which were used to assess potential COVID-19 infections. A novel user interface (UI) displayed mirrored forms showing the scanned assessment forms with OMR results superimposed on the left and an editable web form on the right to improve ease of data validation. Crowdsourced participants validated the results of the OMR system. Overall error rate and time taken to validate were calculated. A subset of forms was validated by multiple participants to calculate agreement between participants. Results The OMR/OCR tools correctly extracted data from scanned forms fields with an average accuracy of 70% and median accuracy of 78% when the OMR/OCR results were compared with the results from crowd validation. Scanned forms were crowd-validated at a mean rate of 157 seconds per document and a volume of approximately 108 documents per day. A randomly selected subset of documents was reviewed by multiple participants, producing an interobserver agreement of 97% for documents when narrative-text fields were included and 98% when only Boolean and multiple-choice fields were considered. Conclusion Due to the COVID-19 pandemic, it may be challenging for health care workers wearing personal protective equipment to interact with electronic health records. The combination of OMR/OCR technology, a novel UI, and crowdsourcing data-validation processes allowed for the efficient extraction of a large volume of paper medical documents produced during the COVID-19 pandemic.

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