scholarly journals Data Capture from Medical Device using Augmented Reality

2019 ◽  
Vol 9 (1S) ◽  
pp. 213-217
Keyword(s):  
Augmented Reality ◽  
Medical Device ◽  
Clinical Decision Making ◽  
Health Workers ◽  
Clinical Information ◽  
Clinical Decision ◽  
Imaging Systems ◽  
New Approach ◽  
Video Images ◽  
Biomedical Device

In order to develop medical devices that connect to hand held devices via Bluetooth or USB, a new approach is followed by using Augmented Reality (AR) and machine vision which is utilized to identify digitally a biomedical device and capture reading using Augmented Reality to create 3D imaging of tumors and human organs accurately. By superimposing anatomic structures segmented from tomography images (e.g., CT, MR) on the intraoperative video images. It is integrated with EMR’s, clinical information feeds and medical imaging systems to support clinical decision making through a combined AR view. The output will be in the form of labels; 3D rendered models, or shaded modifications. It uses everyday technology – computers, tablets or smart phones with cameras can be used to connect surgeons in real time, anywhere in the world.AR can be used to capture medical device information on a mobile device and can automate the data collection tasks by health workers in all the developing countries.

OP143 Assessment Of mHealth Apps: Is Current Regulation Policy Adequate?

2019 ◽  
Vol 35 (S1) ◽  
pp. 33-33
Author(s):  
Magdalena Moshi ◽  
Jacqueline Parsons ◽  
Rebecca Tooher ◽  
Tracy Merlin
Keyword(s):  
Medical Device ◽  
Clinical Evaluation ◽  
Clinical Decision Making ◽  
Clinical Care ◽  
Clinical Decision ◽  
International Standards ◽  
Regulatory Agencies ◽  
Guidance Document ◽  
Regulatory Bodies ◽  
Mhealth Apps

IntroductionAustralians are adjusting to mobile health (mHealth) applications (apps) being used in clinical care. The nature of apps presents unique challenges (e.g. rapid lifecycle) to mHealth regulation. The risks they pose are mainly through the information they provide and how it is used in clinical decision-making. This study explores the international regulation of mHealth apps. It assesses whether the approach used in Australia to regulate apps is consistent with international standards and suitable to address the unique challenges presented by the technology.MethodsA policy analysis was conducted of all nine member jurisdictions of the International Medical Device Regulator's Forum (IMDRF), to determine if their regulatory agencies addressed the IMDRF recommendations relevant to the clinical evaluation of mHealth apps. Case-studies (submission to regulatory agencies) were also selected on varying types of regulated apps (standalone, active implantable, etc.) and assessed relative to the principles in the IMDRF's software as a medical device (SaMD): Clinical evaluation (2017) guidance document.ResultsAll included jurisdictions evaluated the effectiveness of mHealth apps, assessing the majority of the key sub-categories recommended by SaMD: Clinical evaluation. The submissions and jurisdictional regulatory bodies did not address the IMDRF safety principles in terms of the apps’ information security (cybersecurity). Furthermore, by failing to use the method recommended by the IMDRF (risk-classification), none of the submissions or jurisdictions recognized the potential dangers of misinformation on patient safety.ConclusionsNone of the approaches used by global regulatory bodies adequately address the unique challenges posed by apps. Australia's approach is consistent with app regulatory procedures used internationally. We recommend that mHealth apps are evaluated for cybersecurity and are also classified using the IMDRF risk-categories so as to fully protect the public.

Values based psychiatry

2011 ◽  
Vol 26 (S2) ◽  
pp. 2128-2128
Author(s):  
B.K.W.M. Fulford
Keyword(s):  
Mental Health ◽  
Clinical Decision Making ◽  
Clinical Skills ◽  
Clinical Decision ◽  
Evidence Based ◽  
Involuntary Treatment ◽  
New Approach ◽  
Health Values ◽  
Potential Partner ◽  
The Uk

Values-based Practice is a new approach to working with complex and conflicting values in medicine. The approach is derived from work in analytic philosophy on the logic of values. As a practical approach, it is based primarily on learnable clinical skills. Values-based Practice has been developed particularly in mental health, through a number of programmes involving both voluntary sector and government organisations in the UK and internationally. Two examples of these programmes will be presented: one related to the use of involuntary treatment in psychiatry; the other arising from a government-sponsored programme on diagnosis and assessment in mental health. Values-based Practice is currently being extended into other areas of medicine as a potential partner to evidence-based practice in clinical decision making

scholarly journals The revolution of personalized psychiatry: will technology make it happen sooner?

2017 ◽  
Vol 48 (5) ◽  
pp. 705-713 ◽  
Author(s):  
G. Perna ◽  
M. Grassi ◽  
D. Caldirola ◽  
C. B. Nemeroff
Keyword(s):  
Clinical Decision Making ◽  
Clinical Decision ◽  
Machine Learning Techniques ◽  
Proof Of Concept ◽  
Time Data ◽  
New Approach ◽  
Technological Advances ◽  
Learning Techniques ◽  
Personalized Psychiatry ◽  
Smart Wearable

Personalized medicine (PM) aims to establish a new approach in clinical decision-making, based upon a patient's individual profile in order to tailor treatment to each patient's characteristics. Although this has become a focus of the discussion also in the psychiatric field, with evidence of its high potential coming from several proof-of-concept studies, nearly no tools have been developed by now that are ready to be applied in clinical practice. In this paper, we discuss recent technological advances that can make a shift toward a clinical application of the PM paradigm. We focus specifically on those technologies that allow both the collection of massive as much as real-time data, i.e., electronic medical records and smart wearable devices, and to achieve relevant predictions using these data, i.e. the application of machine learning techniques.

Clinical Diagnosis and the Order of Information

1998 ◽  
Vol 18 (4) ◽  
pp. 412-417 ◽  
Author(s):  
George R. Bergus ◽  
Gretchen B. Chapman ◽  
Barcey T. Levy ◽  
John W. Ely ◽  
Robert A. Oppliger
Keyword(s):  
Urinary Tract ◽  
Physical Examination ◽  
Clinical Decision Making ◽  
Laboratory Data ◽  
Clinical Information ◽  
Clinical History ◽  
Clinical Decision ◽  
Background Information ◽  
Likelihood Ratios ◽  
Patient’S History

Background. Information order can influence judgment. However, it remains unclear whether the order of clinical data affects physicians' interpretations of these data when they are engaged in familiar diagnostic tasks. Methods. Of 400 randomly selected family physicians who were given a questionnaire involving a brief written scenario about a young woman with acute dysuria, 315 (79%) returned usable responses. The physicians had been randomized into two groups, and both groups had received the same clinical information but in different orders. After learning the patient's chief com plaint, physicians received either the patient's history and physical examination results followed by the laboratory data (the H&P-first group) or the laboratory data followed by the history and physical examination results (the H&P-last group). The results of the history and physical examination were supportive of the diagnosis of UTI, while the laboratory data were not. All physicians judged the probability of a urinary tract infection (UTI) after each piece of information. Results. The two groups had similar mean estimates of the probability of a UTI after learning the chief complaint (67.4% vs 67.8%, p = 0.85). At the end of the scenario, the H&P-first group judged UTI to be less likely than did the H&P-last group (50.9% vs 59.1 %, p = 0.03) despite having identical information. Comparison of the mean likelihood ratios attributed to the clinical information showed that the H&P-first group gave less weight to the history and phys ical than did the H&P-last group (p = 0.04). Conclusions. The order in which clinical information was presented influenced physicians' estimates of the probability of dis ease. The clinical history and physical examination were given more weight by phy sicians who received this information last. Key words: diagnosis; urinary tract infec tions ; judgment; primary care; clinical decision making. (Med Decis Making 1998;18: 412-417)

scholarly journals NEWS2 score in the practice of infectious diseases hospital in COVID-19 patients. Implementation and results

2021 ◽  
Vol 18 (1) ◽  
pp. 7-16
Author(s):  
К. N. Popova ◽  
A. A. Zhukov ◽  
I. L. Zykina ◽  
D. V. Troschanskiy ◽  
I. N. Tyurin ◽  
...  
Keyword(s):  
Mobile Application ◽  
Clinical Decision Making ◽  
Medical Information ◽  
Prognostic Significance ◽  
Clinical Information ◽  
Clinical Decision ◽  
Clinical State ◽  
Medical Assistance ◽  
Therapy Effectiveness ◽  
Analytical System

Amidst the new COVID-19 pandemic, there is a need for a reliable medical tool to monitor patients’ vital conditions with clinical information continuity. This tool is essential for timely detection of the risk of the patient’s clinical state deterioration throughout all the stages of medical assistance.  The objective is to assess results of the NEWS2 score implementation at the in-patient stage of medical care.Methods. 183,732 scores of the NEWS2 score in 10,290 hospitalized patients were analyzed.  All the assessed results of the NEWS2 score were retrospectively analyzed. The NEWS2 score results were added to the United Medical Information and Analytical System of Moscow (EMIAS) database through the NEWS2 mobile application. The researchers analyzed the descriptive statistics of the score; the prognostic significance of NEWS2 in the prediction of the disease outcome was assessed as well as the accuracy of the used methods. Results. As the result of the research, deviations from standard methods in the application of the NEWS2 score were outlined, which allowed the researchers to develop the corrective measures.  The received data confirmed that interval assessment by the NEWS2 score and the trend analysis were important when making clinical and organizational decisions. Specific parameters of the score use during the COVID-19 pandemic were outlined, which helped to adjust the in-hospital procedures for clinical decision-making process, routing, and the continuity of all stages of medical assistance was established. Conclusion. The use of the NEWS2 score in medical practice makes it possible to predict the risks of clinical deterioration in the patient's condition, conduct bedside monitoring of therapy effectiveness, and optimize in-hospital routing. However, to ensure the validity of the score, it is necessary to plan activities for the personnel training and motivation, as well as to monitor careful adherence to the protocol. 

scholarly journals Case Report: Detection of Symptomatic Treatment-Related Changes in a Patient With Anaplastic Oligodendroglioma Using FET PET

2021 ◽  
Vol 11 ◽  
Author(s):  
Elena Katharina Bauer ◽  
Jan-Michael Werner ◽  
Gereon R. Fink ◽  
Karl-Josef Langen ◽  
Norbert Galldiks
Keyword(s):  
Clinical Decision Making ◽  
Systemic Treatment ◽  
Clinical Information ◽  
Symptomatic Treatment ◽  
Clinical Decision ◽  
Anaplastic Oligodendroglioma ◽  
Mri Findings ◽  
Fet Pet ◽  
Conventional Mri ◽  
Amino Acid Pet

Following local and systemic treatment of gliomas, the differentiation between glioma relapse and treatment-related changes such as pseudoprogression or radiation necrosis using conventional MRI is limited. To overcome this limitation, various amino acid PET tracers such as O-[2-(18F)-fluoroethyl]-L-tyrosine (FET) are increasingly used and provide valuable additional clinical information. We here report neuroimaging findings in a clincally symptomatic 53-year-old woman with a recurrent anaplastic oligodendroglioma with MRI findings highly suspicious for tumor progression. In contrast, FET PET imaging suggested treatment-related changes considerably earlier than the regression of contrast enhancement on MRI. In patients with oligodendroglioma, the phenomenon of symptomatic treatment-related changes is not well described, making these imaging findings unique and important for clinical decision-making.

scholarly journals Radiogenomics and Radiomics in Liver Cancers

Diagnostics ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 4 ◽  
Author(s):  
Aman Saini ◽  
Ilana Breen ◽  
Yash Pershad ◽  
Sailendra Naidu ◽  
M. Knuttinen ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Clinical Information ◽  
Clinical Decision ◽  
Molecular Profile ◽  
Imaging Features ◽  
Imaging Data ◽  
Prognostic Information ◽  
Cross Sectional ◽  
Related Field ◽  
Liver Cancers

Radiogenomics is a computational discipline that identifies correlations between cross-sectional imaging features and tissue-based molecular data. These imaging phenotypic correlations can then potentially be used to longitudinally and non-invasively predict a tumor’s molecular profile. A different, but related field termed radiomics examines the extraction of quantitative data from imaging data and the subsequent combination of these data with clinical information in an attempt to provide prognostic information and guide clinical decision making. Together, these fields represent the evolution of biomedical imaging from a descriptive, qualitative specialty to a predictive, quantitative discipline. It is anticipated that radiomics and radiogenomics will not only identify pathologic processes, but also unveil their underlying pathophysiological mechanisms through clinical imaging alone. Here, we review recent studies on radiogenomics and radiomics in liver cancers, including hepatocellular carcinoma, intrahepatic cholangiocarcinoma, and metastases to the liver.

scholarly journals Information needs for the OR and PACU electronic medical record

2014 ◽  
Vol 05 (03) ◽  
pp. 630-641 ◽  
Author(s):  
V. Herasevich ◽  
J.R. Hebl ◽  
M.J. Brown ◽  
B.W. Pickering ◽  
M.A. Ellsworth
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Medical Error ◽  
Information Needs ◽  
Clinical Decision Making ◽  
Information Overload ◽  
Clinical Information ◽  
Clinical Decision ◽  
Anesthesia Providers ◽  
Survey Responses

Summary Objective: The amount of clinical information that anesthesia providers encounter creates an environment for information overload and medical error. In an effort to create more efficient OR and PACU EMR viewer platforms, we aimed to better understand the intraoperative and post-anesthesia clinical information needs among anesthesia providers. Materials and Methods: A web-based survey to evaluate 75 clinical data items was created and distributed to all anesthesia providers at our institution. Participants were asked to rate the importance of each data item in helping them make routine clinical decisions in the OR and PACU settings. Results: There were 107 survey responses with distribution throughout all clinical roles. 84% of the data items fell within the top 2 proportional quarters in the OR setting compared to only 65% in the PACU. Thirty of the 75 items (40%) received an absolutely necessary rating by more than half of the respondents for the OR setting as opposed to only 19 of the 75 items (25%) in the PACU. Only 1 item was rated by more than 20% of respondents as not needed in the OR compared to 20 data items (27%) in the PACU. Conclusion: Anesthesia providers demonstrate a larger need for EMR data to help guide clinical decision making in the OR as compared to the PACU. When creating EMR platforms for these settings it is important to understand and include data items providers deem the most clinically useful. Minimizing the less relevant data items helps prevent information overload and reduces the risk for medical error. Citation: Herasevich V, Ellsworth MA, Hebl JR, Brown MJ, Pickering BW. Information needs for the OR and PACU electronic medical record. Appl Clin Inf 2014; 5: 630–641http://dx.doi.org/10.4338/ACI-2014-02-RA-0015

scholarly journals Health record systems that meet clinical needs

2012 ◽  
Author(s):  
Gabriella Negrini
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Patient Safety ◽  
Health Care Professionals ◽  
Clinical Decision Making ◽  
Clinical Information ◽  
Clinical Decision ◽  
Health Record ◽  
Record System ◽  
Health Records

Introduction Increased attention has recently been focused on health record systems as a result of accreditation programs, a growing emphasis on patient safety, and the increase in lawsuits involving allegations of malpractice. Health-care professionals frequently express dissatisfaction with the health record systems and complain that the data included are neither informative nor useful for clinical decision making. This article reviews the main objectives of a hospital health record system, with emphasis on its roles in communication and exchange among clinicians, patient safety, and continuity of care, and asks whether current systems have responded to the recent changes in the Italian health-care system.Discussion If health records are to meet the expectations of all health professionals, the overall information need must be carefully analyzed, a common data set must be created, and essential specialist contributions must be defined. Working with health-care professionals, the hospital management should define how clinical information is to be displayed and organized, identify a functionally optimal layout, define the characteristics of ongoing patient assessment in terms of who will be responsible for these activities and how often they will be performed. Internet technology can facilitate data retrieval and meet the general requirements of a paper-based health record system, but it must also ensure focus on clinical information, business continuity, integrity, security, and privacy.Conclusions The current health records system needs to be thoroughly revised to increase its accessibility, streamline the work of health-care professionals who consult it, and render it more useful for clinical decision making—a challenging task that will require the active involvement of the many professional classes involved.

scholarly journals The study of left ventricular diastolic function by Doppler echocardiography: the essential for the clinician

2016 ◽  
Vol 72 (1) ◽  
Author(s):  
Enrico Vizzardi ◽  
Pompilio Faggiano ◽  
Ermanna Chiari ◽  
Diego Maffeo ◽  
Silvia Frattini ◽  
...  
Keyword(s):  
Diastolic Function ◽  
Doppler Echocardiography ◽  
Clinical Decision Making ◽  
Systolic Function ◽  
Correct Diagnosis ◽  
Clinical Information ◽  
Left Ventricular Diastolic Function ◽  
Clinical Decision ◽  
Left Ventricular ◽  
Ventricular Diastolic Function

The study of diastolic function by Doppler-echocardiography is complex and demanding. The cardiologist/echocardiographist must have a systematic approach to the study of left ventricular diastolic function, not only based on the Doppler index, but integrating Doppler patterns with other echo-parameters (chamber dimensions, wall thicknesses, systolic function, valve function and morphology) and clinical information. A rational interpretation of clinical and instrumental data can allow a correct diagnosis, which is essential for clinical decision-making.

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