Article
Gastroenterology & Hepatology
Yasuhisa Mori, Makoto Okawara, Kenji Fujimoto, Takuya Oba, Norihiro Sato, Shiro Kohi, Toshihisa Tamura, Jun Nagata, Yoshihisa Fujino, Kiyohide Fushimi, Shinya Matsuda, Kazunori Shibao, Keiji Hirata
Summary: This study aimed to evaluate the clinical outcomes of cholecystectomy in older individuals. The analysis of the Japanese Diagnosis Procedure Combination database revealed worse postoperative outcomes, including higher mortality rate and increased rates of complications, in older patients undergoing cholecystectomy. Careful consideration should be given to the indications for surgery in older patients.
JOURNAL OF GASTROENTEROLOGY
(2022)
Review
Public, Environmental & Occupational Health
Hayato Yamana, Takaaki Konishi, Hideo Yasunaga
Summary: This study reviewed 36 studies on the validity of Japanese administrative health care data, and found that most of the studies were small-scale. Further large-scale comprehensive validation studies are needed to effectively utilize the databases for research.
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
(2023)
Article
Medicine, General & Internal
Joseph Emmanuel Amuah, Katy Molodianovitsh, Sarah Carbone, Naomi Diestelkamp, Yanling Guo, David B. Hogan, Mingyang Li, Colleen J. Maxwell, John Muscedere, Kenneth Rockwood, Samir Sinha, Olga Theou, Sunita Karmakar-Hore
Summary: To support health system planning for older adults living with frailty in Canada, the study developed and validated the Canadian Institute for Health Information (CIHI) Hospital Frailty Risk Measure (HFRM). The HFRM showed satisfactory predictive validity and can be used as a tool by decision-makers and researchers to support system-level capacity planning for the aging population in Canada.
CANADIAN MEDICAL ASSOCIATION JOURNAL
(2023)
Article
Nutrition & Dietetics
Jing Wu, Klaus Fuchs, Jie Lian, Mirella Lindsay Haldimann, Tanja Schneider, Simon Mayer, Jaewook Byun, Roland Gassmann, Christine Brombach, Elgar Fleisch
Summary: In light of the increasing prevalence of diet-related chronic diseases globally, there is an urgent need for scalable and non-invasive dietary monitoring techniques. Digital receipts from loyalty cards can serve as objective and traceable markers for individual food choice behavior, without requiring manual logging of meal items.
Article
Endocrinology & Metabolism
Karine Suissa, Sebastian Schneeweiss, Kueiyu Joshua Lin, Gregory Brill, Seoyoung C. Kim, Elisabetta Patorno
Summary: Through the use of claims databases in epidemiological studies, it is possible to accurately identify body mass index (BMI), especially with higher sensitivity, specificity, and positive predictive values within specific patient groups.
DIABETES OBESITY & METABOLISM
(2021)
Article
Computer Science, Theory & Methods
Victor Lopez-Rodriguez, Hector G. Ceballos
Summary: Scientometrics is an important field that studies and evaluates scientific measures. This study proposes a semantic modeling approach and evaluates the benefits of using scientometric indicators in university rankings and performance evaluation. Storing and querying the linked data in the Neo4j graph database allows for flexible and quick access to knowledge representation.
JOURNAL OF BIG DATA
(2022)
Article
Medical Informatics
Vendula Churova, Roman Vyskovsky, Katerina Marsalova, David Kudlacek, Daniel Schwarz
Summary: In modern clinical research, ensuring high data quality is crucial. The study presented a machine learning algorithm for detecting anomalous patterns in data, which is universal in nature and capable of detecting anomalous data with a sensitivity exceeding 85%.
JMIR MEDICAL INFORMATICS
(2021)
Article
Economics
Onur Altindag, Stephen D. O'Connell, Aytug Sasmaz, Zeynep Balcioglu, Paola Cadoni, Matilda Jerneck, Aimee Kunze Foong
Summary: The study developed an econometric prediction model using administrative data held by international agencies to target over $380 million annually in unconditional cash transfers to Syrian refugees in Lebanon. Results showed that targeting using administrative data is comparable to a Proxy Means Test in terms of accuracy, with small differences attributed to specific data fields.
JOURNAL OF DEVELOPMENT ECONOMICS
(2021)
Review
Medicine, General & Internal
Lisa Mellhammar, Erik Wollter, Jacob Dahlberg, Benjamin Donovan, Carl-Johan Olseen, Per Ola Wiking, Norman Rose, Daniel Schwarzkopf, Marcus Friedrich, Carolin Fleischmann-Struzek, Konrad Reinhart, Adam Linder
Summary: Despite the lack of reliable data on sepsis epidemiology, this study aims to generate reliable epidemiological estimates by linking data from a population-based database to a reference standard of clinical medical record review. The study found that using ICD-coded hospital discharge diagnosis for sepsis identification suffers from limited sensitivity, and data from ICD do not allow investigation of underlying pathogens and antimicrobial resistance.
Article
Critical Care Medicine
Kari R. Gillmeyer, Eduardo R. Nunez, Seppo T. Rinne, Shirley X. Qian, Elizabeth S. Klings, Renda Soylemez Wiener
Summary: This study developed and validated a collection of algorithms to detect PAH in administrative data. The best performing algorithm required ICD diagnosis codes, RHC codes, and PAH-specific therapy, showing high specificity and PPV.
Article
Computer Science, Information Systems
Amol A. Verma, Sachin Pasricha, Hae Young Jung, Vladyslav Kushnir, Denise Y. F. Mak, Radha Koppula, Yishan Guo, Janice L. Kwan, Lauren Lapointe-Shaw, Shail Rawal, Terence Tang, Adina Weinerman, Fahad Razak
Summary: The study describes an approach to assess data quality in large clinical databases, using both computational checks and manual validation. The combination of these methods proved to be effective in ensuring high overall accuracy, sensitivity, specificity, positive predictive value, and negative predictive value in the data analyzed.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Review
Medicine, General & Internal
Ashley E. Pickering, Petrus Malherbe, Joan Nambuba, Corey B. Bills, Emilie Calvello Hynes, Brian Rice
Summary: This study aimed to increase knowledge of quality in African emergency care by identifying data relevant to the AFEM-CC quality indicators. The results showed that data related to quality indicators in African emergency care facilities are limited. Future research should conform to the AFEM-CC quality indicators to enhance understanding of quality.
Article
Computer Science, Information Systems
Maria Bodi, Laura Claverias, Federico Esteban, Gonzalo Sirgo, Lluis De Haro, Juan Jose Guardiola, Rafael Gracia, Alejandro Rodriguez, Josep Gomez
Summary: The study describes the development and application of a tool to automatically generate a minimum dataset (MDS) and a set of ICU quality metrics from CIS data. The tool extracts data from the CIS database using an extraction, transform, and load process with Python and creates a new associative database. Results show that the ICU's performance on the analyzed QIs meets the standards proposed by the national scientific society, indicating the potential for using automated tools to monitor and improve ICU care quality.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2021)
Article
Cardiac & Cardiovascular Systems
Kimberly A. Shemanski, Albert Farias, Dustin Lieu, Anthony W. Kim, Sean Wightman, Scott M. Atay, Robert J. Canter, Elizabeth A. David
Summary: This study explored cardiothoracic surgeons' perceptions of health services research and practice guidelines. The results revealed mixed perceptions among the surgeons regarding database analyses and guidelines. While younger physicians appeared more likely to use guidelines, older physicians and non-academic surgeons seemed to find database analyses less impactful.
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
(2021)
Review
Pharmacology & Pharmacy
Olga Bukhtiyarova, Amna Abderrazak, Yohann Chiu, Stephanie Sparano, Marc Simard, Caroline Sirois
Summary: This scoping review identified the major areas of interest of artificial intelligence (AI) applied to health care administrative data. The results showed that AI has great potential in medical diagnostics, treatment outcome prediction, and pharmacotherapy. However, there is less attention given to areas such as pharmacoepidemiology.
FRONTIERS IN PHARMACOLOGY
(2022)