Article
Health Care Sciences & Services
Markus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian -C Jung, Dagmar Krefting, Andreas Kuehn, Yuan Peng, Ines Reinecke, Julia Scheel, Tobias Schmidt, Paul Schmuecker, Christina Schuettler, Dagmar Waltemath, Michele Zoch, Martin Sedlmayr
Summary: The field of medical informatics research has made significant contributions to facilitate the development of clinical data. However, the complexity of relationships, terminologies, and implementations can be barriers for those who want to get involved. This paper presents 10 important topics in medical informatics research, focusing on interdisciplinary communication and lowering the barriers to entry. These topics cover current issues and research gaps in the field, and provide guidance and further resources. The paper also discusses the integration of these topics in higher education curriculum.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Computer Science, Information Systems
Jen Bichel-Findlay, Sabine Koch, John Mantas, Shabbir S. Abdul, Najeeb Al-Shorbaji, Elske Ammenwerth, Analia Baum, Elizabeth M. Borycki, George Demiris, Arie Hasman, William Hersh, Evelyn Hovenga, Ursula H. Huebner, Elaine S. Huesing, Andre Kushniruk, Kye Hwa Lee, Christoph U. Lehmann, Svein-Ivar Lillehaug, Heimar F. Marin, Michael Marschollek, Fernando Martin-Sanchez, Mark Merolli, Aurore Nishimwe, Kaija Saranto, Danielle Sent, Aviv Shachak, Jai Ganesh Udayasankaran, Martin C. Were, Graham Wright
Summary: The International Medical Informatics Association (IMIA) has published recommendations for biomedical and health informatics (BMHI) education to support educators, identify essential skills, provide an evaluation tool, and encourage the establishment and development of BMHI educational programs. IMIA's taskforce updated the recommendations, which cover various domains, programs, and levels of education in BMHI. Accreditation and information exchange on BMHI programs and courses are also provided.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Review
Medicine, General & Internal
Zhaohui Su, Bin Liang, Feng Shi, J. Gelfond, Sabina Segalo, Jing Wang, Peng Jia, Xiaoning Hao
Summary: Deep learning techniques are increasingly utilized in medical research, particularly in the field of facial image analysis. This systematic review aims to identify the characteristics, challenges, and opportunities of deep learning-based facial image analysis in medical research, providing valuable insights for disease detection, diagnosis, and prognosis.
Article
Medicine, General & Internal
Rebecca Bendayan, Zeljko Kraljevic, Shaweena Shaari, Jayati Das-Munshi, Leona Leipold, Jaya Chaturvedi, Luwaiza Mirza, Sarah Aldelemi, Thomas Searle, Natalia Chance, Aurelie Mascio, Naoko Skiada, Tao Wang, Angus Roberts, Robert Stewart, Daniel Bean, Richard Dobson
Summary: The objective of this study was to extract physical health conditions from clinical notes in mental health services and examine their prevalence in individuals with severe mental illness. The most prevalent physical comorbidities in this population were diabetes, hypertension, and asthma, and factors such as sex, age, ethnicity, and social deprivation influenced the heterogeneity and disability levels.
Article
Multidisciplinary Sciences
Paulo Dias Costa, Joao Almeida, Sabrina Magalha Araujo, Patricia Alves, Ricardo Cruz-Correia, Kaija Saranto, John Mantas
Summary: This study aims to investigate the education of Biomedical and Health Informatics (BMHI) in Portugal, including educational programs, geographic distribution, and credit allocation. The study found that there are 23 programs offering relevant BMHI courses in Portugal, of which 8 are dedicated educational programs, mostly located in polytechnic institutes in the northern region of the country. There are also 4 programs with potential for accreditation but requiring additional workload in certain areas.
Review
Medicine, General & Internal
Christopher Thomas Picard, Manal Kleib, Hannah M. O'Rourke, Colleen M. Norris, Matthew J. Douma
Summary: This review aims to examine the narratives of nurses in the emergency department, which capture the reasons for patients' visits and initial assessments. The study will analyze both quantitative and qualitative data, and use a structured search approach to gather relevant studies. Findings will be disseminated through conferences, journals, and social media platforms.
Article
Medicine, General & Internal
Nikeysha Bell, Gayan Perera, David Chandran, Brendon Stubbs, Fiona Gaughran, Robert Stewart
Summary: This study investigated the factors associated with the recording of HbA1c in individuals with first diagnoses of serious mental illness (SMI) and the factors associated with HbA1c levels when recorded. The study found a relatively low level of HbA1c recording, though it has increased over time, and text extraction has improved diagnostic accuracy. Therefore, it is important to improve routine monitoring of dysglycaemia in these high-risk disorders.
Article
Medicine, General & Internal
Kenneth A. Michelson, Richard G. Bachur, Arianna H. Dart, Pradip P. Chaudhari, Andrea T. Cruz, Joseph A. Grubenhoff, Scott D. Reeves, Michael C. Monuteaux, Jonathan A. Finkelstein
Summary: This study aimed to develop and validate a tool for retrospectively identifying delayed diagnosis of appendicitis using administrative data with high accuracy. The study used a cross-sectional design and included five pediatric emergency departments as the setting. The tool had an AUC of 0.892 in the derivation group and 0.859 in the validation group, with positive predictive values of 84.7% and 94.9% at different thresholds.
Article
Medicine, General & Internal
Jarrel Seah, Cyril Tang, Quinlan D. Buchlak, Michael Robert Milne, Xavier Holt, Hassan Ahmad, John Lambert, Nazanin Esmaili, Luke Oakden-Rayner, Peter Brotchie, Catherine M. Jones
Summary: The study evaluated the performance of a commercially available comprehensive chest radiography deep convolutional neural network (DCNN) in detecting simple and tension pneumothorax, and found that the DCNN's performance was statistically non-inferior in all subgroups. The study suggests that a comprehensively trained DCNN can successfully detect pneumothorax across various clinically meaningful subgroups.
Article
Medicine, General & Internal
Scott Fruhan, Corey B. Bills
Summary: Clinician assessment was found to be the strongest predictor of a return visit in this study, with a sensitivity of 47% and specificity of 87%. This suggests that provider assessment may be a valuable tool in identifying patients who are at higher risk for return visits and enrolling them in programs to decrease the likelihood of such visits.
Review
Public, Environmental & Occupational Health
Manish Kumar, Meredith Silver, Jeanne Chauffour, Colleen Boyle, David Boone
Summary: This study identified that transforming data into action in TB programs is a continuous process with indicators varying depending on decision type, decision makers, and health system level. Seventeen D2A measurement dimensions were identified, and future plans include developing and validating a D2A continuum toolkit with measurement scale, implementation guide, and data collection and analysis tools.
JOURNAL OF GLOBAL HEALTH
(2021)
Editorial Material
Multidisciplinary Sciences
Julia Gehrmann, Edit Herczog, Stefan Decker, Oya Beyan
Summary: Medical real-world data stored in clinical systems is valuable for medical research, but faces challenges in terms of technology and culture. Analyzing these challenges and proposing measures for improvement is crucial.
Article
Health Care Sciences & Services
Leia Martinez Silvagnoli, Caroline Shepherd, James Pritchett, Jason Gardner
Summary: The study aimed to evaluate audience preferences for plain language summaries (PLSs) of medical research articles on different diseases. Surveys were conducted with participants from various age groups to assess readability levels and formats. Results showed that graphical summaries and medium-complexity text-based summaries were the most preferred formats across different diseases, highlighting the importance of considering audience preferences when creating PLSs.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Review
Medicine, General & Internal
Calandra Li, Camilla Parpia, Abi Sriharan, Daniel T. Keefe
Summary: This study assessed the relationship between electronic medical record (EMR) use and healthcare provider burnout, as well as explored interventions to reduce EMR-related burnout. The current literature supports an association between EMR use and provider burnout, but there is limited evidence for interventions addressing factors such as time spent on EMRs or organizational support in reducing burnout.
Article
Computer Science, Information Systems
Allison J. Hare, Jacqueline M. Soegaard Ballester, Peter E. Gabriel, Srinath Adusumalli, C. William Hanson
Summary: Expansive growth in health information technology has changed medicine significantly, but improvements in healthcare delivery have not been fully realized. Bridging this gap requires healthcare professionals with expertise in clinical informatics at all levels.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Education, Scientific Disciplines
Christian F. A. Koop, Michael Marschollek, Andreas Schmiedl, Phileas J. Proskynitopoulos, Marianne Behrends
Summary: The study examined the effects of a locally produced audiovisual dissection manual on medical students' performance, knowledge gained, motivation, emotions, learning behavior, and learning efficiency. The results did not show significant positive effects of the audiovisual manual on these parameters, indicating that further implementation of this type of e-learning resource into the curriculum is not supported. This study can guide future evaluation and design of e-learning resources for the gross anatomy dissection course.
ANATOMICAL SCIENCES EDUCATION
(2021)
Review
Infectious Diseases
Dominik Wolff, Sarah Nee, Natalie Sandy Hickey, Michael Marschollek
Summary: A systematic literature review on the risk factors of severe and fatal Covid-19 courses shows that conditions and comorbidities related to poor health status, high age, obesity, diabetes, and hypertension are risk factors for severe and fatal disease courses. Additionally, organ damage and coagulation dysfunctions are associated with severe and fatal courses of the disease.
Article
Medical Informatics
Antje Wulff, Sara Montag, Nicole Ruebsamen, Friederike Dziuba, Michael Marschollek, Philipp Beerbaum, Andre Karch, Thomas Jack
Summary: The study evaluated a knowledge-based, interoperable clinical decision-support system (CDSS) for detecting SIRS in a pediatric intensive care unit (PICU). The CDSS showed higher sensitivity and specificity compared to physicians' recognition of SIRS in clinical routine, demonstrating the potential of using CDSS in clinical practice. Evaluation revealed valuable insights for the design and rule modifications of the CDSS, with plans for further optimization and multi-center evaluation in the future.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2021)
Article
Medical Informatics
Erik Tute, Irina Scheffner, Michael Marschollek
Summary: This study introduces an interoperable data quality assessment method for healthcare, formalizing measurement methods based on standardized data definitions to support collaborative governance of DQ-assessment knowledge. By utilizing open source tools and clinical information models, the method showed satisfactory practicability and produced useful results for DQ-assessment.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2021)
Article
Medicine, General & Internal
Jan Wolff, Gudrun Hefner, Claus Normann, Klaus Kaier, Harald Binder, Katharina Domschke, Christoph Hiemke, Michael Marschollek, Ansgar Klimke
Summary: The study successfully predicted polypharmacy and drug-drug interactions using routine data at patient admission, demonstrating the potential to effectively manage the benefits and risks of drug prescriptions.
Article
Public, Environmental & Occupational Health
Jan Wolff, Gudrun Hefner, Claus Normann, Klaus Kaier, Harald Binder, Christoph Hiemke, Sermin Toto, Katharina Domschke, Michael Marschollek, Ansgar Klimke
Summary: Polypharmacy is common in hospital psychiatry, with elderly patients at increased risk of drug-drug interactions and potentially inappropriate medication use. Consideration of potential interactions and the specific pharmacokinetics and -dynamics of older patients is essential when using multiple drugs.
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
(2021)
Article
Multidisciplinary Sciences
Jan Wolff, Pamela Reissner, Gudrun Hefner, Claus Normann, Klaus Kaier, Harald Binder, Christoph Hiemke, Sermin Toto, Katharina Domschke, Michael Marschollek, Ansgar Klimke
Summary: This study aimed to investigate the drug use for depressive disorders in inpatient psychiatry in Germany, analyzing potential drug-drug interactions and potentially inappropriate medication. Results showed that most patients received multiple drugs, with frequent occurrences of drug interactions and inappropriate medication.
Article
Geriatrics & Gerontology
G. Stiller, R. Stegemann, K. Afshar, M. Marschollek, M. Behrends
Summary: This study successfully conveyed the complexity of care for older people and presented the special role of family physicians in geriatric care through an educational film. The majority of students were emotionally touched by the film and found the presentation mode of the GBA to be authentic.
ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE
(2022)
Article
Biology
Kim K. Sommer, Ali Amr, Udo Bavendiek, Felix Beierle, Peter Brunecker, Henning Dathe, Juergen Eils, Maximilian Ertl, Georg Fette, Matthias Gietzelt, Bettina Heidecker, Kristian Hellenkamp, Peter Heuschmann, Jennifer D. E. Hoos, Tibor Kesztyues, Fabian Kerwagen, Aljoscha Kindermann, Dagmar Krefting, Ulf Landmesser, Michael Marschollek, Benjamin Meder, Angela Merzweiler, Fabian Prasser, Ruediger Pryss, Jendrik Richter, Philipp Schneider, Stefan Stoerk, Christoph Dieterich
Summary: Predicting the risk of heart failure in patients is crucial for tailoring preventive, diagnostic, and therapeutic strategies to suit individual patients and effectively utilize healthcare resources. However, existing risk scores are rarely implemented in routine care due to the difficulty of their calculation and the unavailability of necessary data in an interoperable format. In this study, we demonstrate the feasibility of using clinical routine data from multiple medical centers to calculate heart failure risk scores, offering a potential solution that can be applied in various clinical care settings.
Article
Computer Science, Information Systems
Jen Bichel-Findlay, Sabine Koch, John Mantas, Shabbir S. Abdul, Najeeb Al-Shorbaji, Elske Ammenwerth, Analia Baum, Elizabeth M. Borycki, George Demiris, Arie Hasman, William Hersh, Evelyn Hovenga, Ursula H. Huebner, Elaine S. Huesing, Andre Kushniruk, Kye Hwa Lee, Christoph U. Lehmann, Svein-Ivar Lillehaug, Heimar F. Marin, Michael Marschollek, Fernando Martin-Sanchez, Mark Merolli, Aurore Nishimwe, Kaija Saranto, Danielle Sent, Aviv Shachak, Jai Ganesh Udayasankaran, Martin C. Were, Graham Wright
Summary: The International Medical Informatics Association (IMIA) has published recommendations for biomedical and health informatics (BMHI) education to support educators, identify essential skills, provide an evaluation tool, and encourage the establishment and development of BMHI educational programs. IMIA's taskforce updated the recommendations, which cover various domains, programs, and levels of education in BMHI. Accreditation and information exchange on BMHI programs and courses are also provided.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Multidisciplinary Sciences
J. Wolff, A. Klimke, M. Marschollek, T. Kacprowski
Summary: The COVID-19 pandemic has affected admissions to psychiatric hospitals. Machine learning and time series models showed good forecasting performance. The models performed similarly before the pandemic, but weekly time series models adjusted better to the COVID-19 shock effects.
SCIENTIFIC REPORTS
(2022)
Article
Medical Informatics
Louisa Bode, Sven Schamer, Julia Boehnke, Oliver Johannes Bott, Michael Marschollek, Thomas Jack, Antje Wulff
Summary: The study aims to enhance an existing interoperable, rule-based clinical decision support system (CDSS) prototype by detecting SIRS/sepsis-associated hematologic organ dysfunction (OD) in critically ill children and evaluating its diagnostic accuracy. The CDSS model was developed using the commonKADS methodology and openEHR as the clinical information standard. The diagnostic accuracy of the CDSS was estimated using data from a prospective diagnostic study, with clinicians' diagnoses as the reference. The CDSS successfully detected hematologic OD with high sensitivity and specificity.
APPLIED CLINICAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Matthias Ganzinger, Max Blumenstock, Axel Fuerstberger, Leonard Greulich, Hans A. Kestler, Michael Marschollek, Christian Niklas, Tim Schneider, Cord Spreckelsen, Erik Tute, Julian Varghese, Martin Dugas
Summary: Structured documentation of findings is important in clinical research and patient care. Integration of electronic case report forms (eCRF) with electronic health records (EHR) is challenging when researchers from different institutions collaborate. To address this issue, a novel architecture for a federated electronic data capture system (fEDC) was proposed.
JOURNAL OF BIOMEDICAL INFORMATICS
(2023)
Proceedings Paper
Computer Science, Information Systems
Michael Marschollek, Thorsten Walles, Hans-Christoph Pape, Torsten Doenst
Summary: This paper reports on an international exchange and education program that has funded over 700 students, highlighting the importance of a strong student-mentor relationship for scientific success. It also discusses potential success factors and the history and concept of the program.
DIGITAL PROFESSIONALISM IN HEALTH AND CARE: DEVELOPING THE WORKFORCE, BUILDING THE FUTURE, VOL. 298
(2022)
Proceedings Paper
Computer Science, Information Systems
Michael Marschollek, Melina Celik, Marianne Behrends, Thomas Friedrich Schulz
Summary: This paper presents a new Master's program for biomedical data science that meets the growing demand for experts in biomedical data analysis. The program is well-received by students, who appreciate the benefits of interdisciplinary teamwork and flexible learning opportunities. However, adjustments are needed to improve tutoring support and alignment of content among different modules.
DIGITAL PROFESSIONALISM IN HEALTH AND CARE: DEVELOPING THE WORKFORCE, BUILDING THE FUTURE, VOL. 298
(2022)
