Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors.

Background: In 2011, the American Board of Medical Specialties established clinical informatics (CI) as a subspecialty in medicine, jointly administered by the American Board of Pathology and the American Board of Preventive Medicine. Subsequently, many institutions created CI fellowship training programs to meet the growing need for informaticists. Although many programs share similar features, there is considerable variation in program funding and administrative structures.

Artificial intelligence modelling to assess the risk of cardiovascular disease in oncology patients.

Aims: There are no comprehensive machine learning (ML) tools used by oncologists to assist with risk identification and referrals to cardio-oncology. This study applies ML algorithms to identify oncology patients at risk for cardiovascular disease for referrals to cardio-oncology and to generate risk scores to support quality of care.

Methods And Results: De-identified patient data were obtained from Vanderbilt University Medical Center.

Cloud Computing Synthetic Syndromic Surveillance Systems: Opioid Epidemic in Illinois.

With an increasing number of overdose cases yearly, the city of Chicago is facing an opioid epidemic. Many of these overdose cases lead to 911 calls that necessitate timely response from our limited emergency medicine services. This paper demonstrates how data from these calls along with synthetic and geospatial data can help create a syndromic surveillance system to combat this opioid crisis.

Effect of Electronic Health Record Clinical Decision Support on Contextualization of Care: A Randomized Clinical Trial.

Importance: Contextualizing care is a process of incorporating information about the life circumstances and behavior of individual patients, termed contextual factors, into their plan of care. In 4 steps, clinicians recognize clues (termed contextual red flags), clinicians ask about them (probe for context), patients disclose contextual factors, and clinicians adapt care accordingly. The process is associated with a desired outcome resolution of the presenting contextual red flag.

Examining perspectives on the adoption and use of computer-based patient-reported outcomes among clinicians and health professionals: a Q methodology study.

Objective: To determine factors that influence the adoption and use of patient-reported outcomes (PROs) in the electronic health record (EHR) among users.

Materials And Methods: Q methodology, supported by focus groups, semistructured interviews, and a review of the literature was used for data collection about opinions on PROs in the EHR. An iterative thematic analysis resulted in 49 statements that study participants sorted, from most unimportant to most important, under the following condition of instruction: "What issues are most important or most unimportant to you when you think about the adoption and use of patient-reported outcomes within the electronic health record in routine clinical care?" Using purposive sampling, 50 participants were recruited to rank and sort the 49 statements online, using HTMLQ software.

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models.

Background: Many models are published which predict outcomes in hospitalized COVID-19 patients. The generalizability of many is unknown. We evaluated the performance of selected models from the literature and our own models to predict outcomes in patients at our institution.

Planning for patient-reported outcome implementation: Development of decision tools and practical experience across four clinics.

Introduction: Many institutions are attempting to implement patient-reported outcome (PRO) measures. Because PROs often change clinical workflows significantly for patients and providers, implementation choices can have major impact. While various implementation guides exist, a stepwise list of decision points covering the full implementation process and drawing explicitly on a sociotechnical conceptual framework does not exist.

Required data elements for interprofessional rounds through the lens of multiple professions.

The lack of a proper system for ongoing open interprofessional communication among care providers increases miscommunications and medical errors. Seamless access to patient information is important for care providers to prevent miscommunication and improve patient safety. A shared understanding of the information needs of different care providers in an interprofessional team is lacking.

Impact of EHR-based rounding tools on interactive communication: A prospective observational study.

Objective: Structured rounding tools have shown to improve the overall efficiency and perceived satisfaction with the rounding process. However, little is known about how EHR-integrated rounding tools impact the content, structure and interactivity of communication during rounds.

Method: We conducted a prospective pre-post evaluation with two rounding tools: a Microsoft Word-based fillable rounding tool (usual tool), and an EHR-integrated rounding report tool (RRT).

Embedding a Medical Search Engine Within an Electronic Health Record.

This study investigates an information retrieval tool embedded in an electronic health record (EHR). 1-Search provides a single search for retrieving information from a variety of content sources. 1-Search's usefulness and impact were determined by measuring the extent of physicians' information needs, pre- and post-implementation user satisfaction, and the impact of 1-Search on clinical decision-making.

Simulation of ICD-9 to ICD-10-CM Transition for Family Medicine: Simple or Convoluted?

Objective: The objective of this study was to examine the impact of the transition from International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), to Interactional Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), on family medicine and to identify areas where additional training might be required.

Methods: Family medicine ICD-9-CM codes were obtained from an Illinois Medicaid data set (113,000 patient visits and $5.5 million in claims).

Issues and questions to consider in implementing secure electronic patient-provider web portal communications systems.

Purpose: Patients are increasingly interested in using Internet-based technologies to communicate with their providers, schedule clinic visits, request medication refills, and view their medical records electronically. However, healthcare organizations face significant challenges in providing such highly personal and sensitive communication in an effective and user-friendly manner.

Methods: Based on the literature and our experience in providing a secure web-based patient-provider communication portal in primary care clinics, a framework was developed that identifies key issues and questions to consider in implementing secure electronic patient-provider communications systems.

Attending and resident physician perceptions of an EMR-generated rounding report for adult inpatient services.

Background: With limited work hours, efficient rounding and effective hand-offs have become essential. We created a completely electronic medical record (EMR)-generated rounding report for use during pre-rounding, team rounds, and sign-out/hand-offs. We hypothesized that this would reduce workloads.