Catherine J. Staes
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View article: Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Open
PURPOSE Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear is how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface that presents patient-s…
View article: An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting
An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting Open
Objectives Determine the economic cost or benefit of expanding electronic case reporting (eCR) for 29 reportable conditions beyond the initial eCR implementation for COVID-19 at an academic health center. Materials and methods The return o…
View article: Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach Open
Objectives To design an interface to support communication of machine learning (ML)-based prognosis for patients with advanced solid tumors, incorporating oncologists’ needs and feedback throughout design. Materials and Methods Using an in…
View article: External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors
External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors Open
This prognostic study performed external validation of a machine learning model to predict 6-month mortality among patients with advanced solid tumors.
View article: Strengths, weaknesses, opportunities, and threats for the nation’s public health information systems infrastructure: synthesis of discussions from the 2022 ACMI Symposium
Strengths, weaknesses, opportunities, and threats for the nation’s public health information systems infrastructure: synthesis of discussions from the 2022 ACMI Symposium Open
Objective The annual American College of Medical Informatics (ACMI) symposium focused discussion on the national public health information systems (PHIS) infrastructure to support public health goals. The objective of this article is to pr…
View article: Enhancing the nation’s public health information infrastructure: a report from the ACMI symposium
Enhancing the nation’s public health information infrastructure: a report from the ACMI symposium Open
The COVID-19 pandemic exposed multiple weaknesses in the nation’s public health system. Therefore, the American College of Medical Informatics selected “Rebuilding the Nation's Public Health Informatics Infrastructure” as the theme for its…
View article: Perspectives on Research Priorities for Linked Prescription Drug Monitoring Program Data: A Survey
Perspectives on Research Priorities for Linked Prescription Drug Monitoring Program Data: A Survey Open
Background: In addition to its clinical value in supporting prescribing decisions, Prescription Drug Monitoring Program (PDMP) data is important for surveillance and research. PDMP data has been used to conduct varied research related to p…
View article: Safety risks and workflow implications associated with nursing-related free-text communication orders
Safety risks and workflow implications associated with nursing-related free-text communication orders Open
Objective We evaluated nursing-related free-text communication orders to identify potential safety hazards and describe patterns and scope of care domains addressed that may reveal preventable workarounds and potential gaps in electronic h…
View article: Development of a Machine Learning Model Using Limited Features to Predict 6-Month Mortality at Treatment Decision Points for Patients With Advanced Solid Tumors
Development of a Machine Learning Model Using Limited Features to Predict 6-Month Mortality at Treatment Decision Points for Patients With Advanced Solid Tumors Open
PURPOSE Patients with advanced solid tumors may receive intensive treatments near the end of life. This study aimed to create a machine learning (ML) model using limited features to predict 6-month mortality at treatment decision points (T…
View article: Research outcomes of linked prescription drug monitoring program data: a scoping review protocol
Research outcomes of linked prescription drug monitoring program data: a scoping review protocol Open
Introduction The objective of this scoping review is to describe the extent and nature of research studies based on linked prescription drug monitoring program (PDMP) data; defined as PDMP data linked to other clinical, administrative or p…
View article: Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation
Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation Open
View article: New Standards for Clinical Decision Support: A Survey of The State of Implementation
New Standards for Clinical Decision Support: A Survey of The State of Implementation Open
Summary Objectives: To review the current state of research on designing and implementing clinical decision support (CDS) using four current interoperability standards: Fast Healthcare Interoperability Resources (FHIR); Substitutable Medic…
View article: Developing a sampling method and preliminary taxonomy for classifying COVID-19 public health guidance for healthcare organizations and the general public
Developing a sampling method and preliminary taxonomy for classifying COVID-19 public health guidance for healthcare organizations and the general public Open
View article: Preliminary Taxonomy of COVID-19 Public Health Guidance and Associated Files
Preliminary Taxonomy of COVID-19 Public Health Guidance and Associated Files Open
This dataset contains the following resources: 1. A taxonomy of public health guidance documents in Excel and SKOS formats: the taxonomy contains 100 branches, and was derived from documents gathered from the public health departments of F…
View article: A Conceptual Framework of Data Readiness: The Contextual Intersection of Quality, Availability, Interoperability, and Provenance
A Conceptual Framework of Data Readiness: The Contextual Intersection of Quality, Availability, Interoperability, and Provenance Open
Background Data readiness is a concept often used when referring to health information technology applications in the informatics disciplines, but it is not clearly defined in the literature. To avoid misinterpretations in research and imp…
View article: Provider Preferences for Patient-Generated Health Data Displays in Pediatric Asthma: A Participatory Design Approach
Provider Preferences for Patient-Generated Health Data Displays in Pediatric Asthma: A Participatory Design Approach Open
Objective There is a lack of evidence on how to best integrate patient-generated health data (PGHD) into electronic health record (EHR) systems in a way that supports provider needs, preferences, and workflows. The purpose of this study wa…
View article: A thematic analysis to examine the feasibility of EHR-based clinical decision support for implementing <i>Choosing Wisely</i>® guidelines
A thematic analysis to examine the feasibility of EHR-based clinical decision support for implementing <i>Choosing Wisely</i>® guidelines Open
Objective To identify important barriers and facilitators relating to the feasibility of implementing clinical practice guidelines (CPGs) as clinical decision support (CDS). Materials and Methods We conducted a qualitative, thematic analys…
View article: Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs
Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs Open
Background Adolescents are using mobile health apps as a form of self-management to collect data on symptoms, medication adherence, and activity. Adding functionality to an electronic health record (EHR) to accommodate disease-specific pat…
View article: <scp>POSTER ABSTRACTS</scp> <i>from</i> Third Annual Public Meeting: Mobilizing Computable Biomedical Knowledge (<scp>MCBK</scp> 2020)
<span>POSTER ABSTRACTS</span> <i>from</i> Third Annual Public Meeting: Mobilizing Computable Biomedical Knowledge (<span>MCBK</span> 2020) Open
2][3] This requires biomedical data and processes to be findable,
View article: Patient-generated health data and electronic health record integration: a scoping review
Patient-generated health data and electronic health record integration: a scoping review Open
Objectives Patient-generated health data (PGHD) are clinically relevant data captured by patients outside of the traditional care setting. Clinical use of PGHD has emerged as an essential issue. This study explored the evidence to determin…
View article: Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs (Preprint)
Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs (Preprint) Open
BACKGROUND Adolescents are using mobile health apps as a form of self-management to collect data on symptoms, medication adherence, and activity. Adding functionality to an electronic health record (EHR) to accommodate disease-specific pa…
View article: Response to authors of “Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic”
Response to authors of “Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic” Open
View article: Measuring implementation feasibility of clinical decision support alerts for clinical practice recommendations
Measuring implementation feasibility of clinical decision support alerts for clinical practice recommendations Open
Objective The study sought to describe key features of clinical concepts and data required to implement clinical practice recommendations as clinical decision support (CDS) tools in electronic health record systems and to identify recommen…
View article: Patient-generated health data and electronic health record integration: protocol for a scoping review
Patient-generated health data and electronic health record integration: protocol for a scoping review Open
Introduction The objective of this study is to determine the extent and describe the nature of patient-generated health data (PGHD) integration into electronic health records (EHRs) using systematic scoping methods to review the available …
View article: Integration of Clinical Decision Support and Electronic Clinical Quality Measurement: Domain Expert Insights and Implications for Future Direction.
Integration of Clinical Decision Support and Electronic Clinical Quality Measurement: Domain Expert Insights and Implications for Future Direction. Open
The integration of clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could help improve consistency, reduce redundancy, and ultimately help improve value. To guide efforts in this area, 15 leading experts i…
View article: What are they trying to do?: An analysis of Action Identities in using electronic documentation in an EHR.
What are they trying to do?: An analysis of Action Identities in using electronic documentation in an EHR. Open
Documentation processes have changed substantially with EHR adoption. User satisfaction studies have focused on usability or cognitive analysis perspectives. Few studies have provided useful information to developers to improve designs. Th…
View article: Why aren't they happy? An analysis of end-user satisfaction with Electronic health records.
Why aren't they happy? An analysis of end-user satisfaction with Electronic health records. Open
Introduction. Implementations of electronic health records (EHR) have been met with mixed outcome reviews. Complaints about these systems have led to many attempts to have useful measures of end-user satisfaction. However, most user…
View article: Melinda - A custom search engine that provides access to locally-developed content using the HL7 Infobutton standard.
Melinda - A custom search engine that provides access to locally-developed content using the HL7 Infobutton standard. Open
Healthcare organizations use care pathways to standardize care, but once developed, adoption rates often remain low. One challenge for usage concerns clinicians' difficulty in accessing guidance when it is most needed. Although the HL7 'In…
View article: Adapting Nielsen's Design Heuristics to Dual Processing for Clinical Decision Support.
Adapting Nielsen's Design Heuristics to Dual Processing for Clinical Decision Support. Open
The study objective was to improve the applicability of Nielson's standard design heuristics for evaluating electronic health record (EHR) alerts and linked ordering support by integrating them with Dual Process theory. Through initial heu…
View article: Building an Ontology for Identity Resolution in Healthcare and Public Health
Building an Ontology for Identity Resolution in Healthcare and Public Health Open
Integration of disparate information from electronic health records, clinical data warehouses, birth certificate registries and other public health information systems offers great potential for clinical care, public health practice, and r…