Letter to the Editor in response to "Application of a digital quality measure for cancer diagnosis in Epic Cosmos".
Author(s): Soppe, Sarah E, Metwally, Eman, Thompson, Caroline A
DOI: 10.1093/jamia/ocaf025
Author(s): Soppe, Sarah E, Metwally, Eman, Thompson, Caroline A
DOI: 10.1093/jamia/ocaf025
This study compared the time efficiency of the hospital admission process using personal mobile devices to traditional walk-in methods, thereby assessing the effectiveness of the mobile admission process.This retrospective study was conducted at Chung-Ang University Gwangmyeong Hospital in South Korea (August 2022-January 2023). Turnaround times for the walk-in and mobile admission processes were compared. Patients were divided into mobile and walk-in groups based on their admission process. Collected timestamp data [...]
Author(s): Chung, Ho Sub, Namgung, Myeong, Bae, Sung Jin, Choi, Yunhyung, Lee, Dong Hoon, Kim, Chan Woong, Kim, Sunho, Jung, Kwang Yul
DOI: 10.1055/a-2576-7110
This study aims to evaluate the impact of using a large language model (LLM) for generating draft responses to patient messages in the electronic health record (EHR) system on clinicians and support staff workload and efficiency.We partnered with Epic Systems to implement OpenAI's ChatGPT 4.0 for responding to patient messages. A pilot study was conducted from August 2023 to July 2024 across 13 ambulatory specialties involving 323 participants, including clinicians [...]
Author(s): Proctor, Stephon, Lawton, Greg, Sinha, Shikha
DOI: 10.1055/a-2576-0579
Globally, health information system (HIS) development projects face challenges regarding technology infrastructure, financing, user resistance, and interoperability. While these challenges are well-described in literature, most studies on HIS digitalization focus on the development of national and hospital HISs, with little focus on HISs in primary care. We described the HISs of two primary care clinics in Manila, Philippines in terms of data management procedures, governance, training and equipment, information culture [...]
Author(s): Sucaldito, Ma Sergia Fatima, Malhotra, Rahul, Palileo-Villanueva, Lia, Besa, John Jefferson, Echague, Precious Angelica, Saquilayan, Mary John, Banzuela, Jessa Mae, Mendoza, Kian, Elepaño, Anton, Yan, Lijing L, Østbye, Truls
DOI: 10.1055/a-2595-2824
This study aimed to describe human-centered design of clinical decision support (CDS) for children with metabolic diseases at high risk of rapid decompensation, assess the influence of CDS on care processes and patient outcomes, and share insights from the implementation.A CDS was designed in collaboration with pediatric genetics experts to provide accelerated triage and recommend dextrose-containing fluids for patients metabolic conditions. Formative usability testing was conducted with emergency department (ED) [...]
Author(s): Kandaswamy, Swaminathan, Jain, Shabnam, Chambers, Dwight Diaz, Wilcox, William R, Agha, Beesan S, Dennis, Hailey, Brown, Sara P, Orenstein, Evan W
DOI: 10.1055/a-2666-4737
Hypertension is a chronic condition defined by persistent high blood pressure (BP) that contribute to significant morbidity and mortality. Evidence-based clinical guidelines provide recommendations for the diagnosis and management of hypertension. These recommendations are frequently incorporated into clinical decision support (CDS) tools used by clinicians. CDS tools can also be oriented toward patients but careful attention to the development process is required to make a useful, usable, and engaging digital [...]
Author(s): Bobo, Michelle, Canfield, Shannon M, Shaffer, Victoria, Storer, Matt, Michaels, LeAnn, Yates, Amy, Rolbiecki, Abigail J, Koopman, Richelle, Dorr, David
DOI: 10.1055/a-2697-2107
Clinical decision support (CDS) tools in electronic health records (EHRs) often face low uptake due to limited usability, workflow integration, and other implementation issues. We recently designed and implemented the STRATIFY-CDS tool, which calculates a validated risk-prediction model and recommends disposition for emergency department (ED) patients with acute heart failure. Despite applying human-centered design and implementation science strategies, initial utilization in the first 3 months of the STRATIFY-CDS tool was [...]
Author(s): Christensen, Matthew A, Reale, Carrie, Anders, Shilo, Coffman, Tim, Alaw, Hala, Mathe, Janos L, Albert, Dan, Sachs, Anna, McCoy, Allison B, Liu, Dandan, Storrow, Alan B, Kripalani, Sunil, Novak, Laurie L
DOI: 10.1055/a-2594-3770
Hospitals are looking to AI and other innovative applications to help alleviate provider burden and dissatisfaction associated with clinical documentation in oncology. Ambient artificial intelligence (AI) scribes are a promising technology to address these issues. However, they generally have not been optimized for oncology. This study aimed to evaluate an ambient AI scribe application with oncology providers to determine opportunities and potential challenges.This prospective pilot study of a scribe application [...]
Author(s): Baldwin-Medsker, Abigail E, Chimonas, Susan, Goyal, Suryan P, Watson, Adam J, Damstrom, Maclain R, Kuperman, Gilad J, Traina, Tiffany, Roman, Benjamin R, Stetson, Peter D, Lipitz-Snyderman, Allison
DOI: 10.1055/a-2662-0740
The global aging population is rapidly increasing, and the prevalence of age-related cognitive conditions, such as mild cognitive impairment (MCI), is becoming more common. This condition, which represents intermediate stages between normal aging and dementia, underscores the importance of early detection and timely intervention to address the growing demand for health services. Traditional cognitive assessments have limitations, such as the consistency of results, prompting the need for innovative technology-based solutions.This [...]
Author(s): Alshammari, Salamah, Alsubaie, Munirah, Figeys, Mathieu, Ríos Rincón, Adriana, Ezeugwu, Victor, Esmail, Shaniff, Daum, Christine, Liu, Lili, Miguel Cruz, Antonio
DOI: 10.1055/a-2657-8212
Chemoprophylaxis reduces the risk of hospital-acquired venous thromboembolism (VTE), but is not reliably ordered. Our institution created a clinical decision support (CDS) interruptive alert to remind clinicians to order VTE chemoprophylaxis when it is missing for qualifying inpatients. Unfortunately, this alert has required repeated modifications to ensure accurate logic, and continues to generate negative feedback from users.This study aimed to describe multiple failures in the development and postdeployment optimization of [...]
Author(s): Schildt, Emily E, Sutton, Paul R, Lees, Andrew F, Ahmad, Hasan B, Lee, Albert C, Leu, Michael G, Wedgeworth, Patrick, White, Andrew A
DOI: 10.1055/a-2661-3670