Building Comprehensive Enterprise-Scale PPM Clinical Informatics Capability and Capacity

2019 ◽  
pp. 305-317
Author(s):  
Bruce Levy
Keyword(s):  
Clinical Informatics

Assessment and implementation of the Agilent Magnis and Alissa Clinical Informatics Platform for whole exome sequencing

2021 ◽  
Vol 132 ◽  
pp. S232-S233
Author(s):  
Edward Hughes ◽  
Diana Toledo ◽  
Ethan LaRochelle ◽  
Donald Green ◽  
Stephanie Vallee ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Clinical Informatics ◽  
Whole Exome

A Perioperative Care Display for Understanding High Acuity Patients

2021 ◽  
Vol 12 (01) ◽  
pp. 164-169
Author(s):  
Laurie Lovett Novak ◽  
Jonathan Wanderer ◽  
David A. Owens ◽  
Daniel Fabbri ◽  
Julian Z. Genkins ◽  
...  
Keyword(s):  
Data Visualization ◽  
Design Process ◽  
Cognitive Task ◽  
Development Project ◽  
Clinical Informatics ◽  
Data Display ◽  
Data Types ◽  
Iterative Design ◽  
High Acuity ◽  
Depth Interviews

Abstract Background The data visualization literature asserts that the details of the optimal data display must be tailored to the specific task, the background of the user, and the characteristics of the data. The general organizing principle of a concept-oriented display is known to be useful for many tasks and data types. Objectives In this project, we used general principles of data visualization and a co-design process to produce a clinical display tailored to a specific cognitive task, chosen from the anesthesia domain, but with clear generalizability to other clinical tasks. To support the work of the anesthesia-in-charge (AIC) our task was, for a given day, to depict the acuity level and complexity of each patient in the collection of those that will be operated on the following day. The AIC uses this information to optimally allocate anesthesia staff and providers across operating rooms. Methods We used a co-design process to collaborate with participants who work in the AIC role. We conducted two in-depth interviews with AICs and engaged them in subsequent input on iterative design solutions. Results Through a co-design process, we found (1) the need to carefully match the level of detail in the display to the level required by the clinical task, (2) the impedance caused by irrelevant information on the screen such as icons relevant only to other tasks, and (3) the desire for a specific but optional trajectory of increasingly detailed textual summaries. Conclusion This study reports a real-world clinical informatics development project that engaged users as co-designers. Our process led to the user-preferred design of a single binary flag to identify the subset of patients needing further investigation, and then a trajectory of increasingly detailed, text-based abstractions for each patient that can be displayed when more information is needed.

Machine Learning and Clinical Informatics for Improving HIV Care Continuum Outcomes

2021 ◽  
Vol 18 (3) ◽  
pp. 229-236
Author(s):  
Jessica P. Ridgway ◽  
Alice Lee ◽  
Samantha Devlin ◽  
Jared Kerman ◽  
Anoop Mayampurath
Keyword(s):  
Machine Learning ◽  
Clinical Informatics ◽  
Hiv Care ◽  
Hiv Care Continuum ◽  
Care Continuum

scholarly journals Comparison of blockchain platforms: a systematic review and healthcare examples

2019 ◽  
Vol 26 (5) ◽  
pp. 462-478 ◽  
Author(s):  
Tsung-Ting Kuo ◽  
Hugo Zavaleta Rojas ◽  
Lucila Ohno-Machado
Keyword(s):  
Systematic Review ◽  
Biomedical Research ◽  
Health Informatics ◽  
Clinical Informatics ◽  
Healthcare Applications ◽  
Software Engineers ◽  
Key Features ◽  
Technical Features ◽  
Meta Analyses ◽  
Selection Of

Abstract Objectives To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform given requirements and technical features that are common in healthcare and biomedical research applications. Target audience Healthcare or clinical informatics researchers and software engineers who would like to learn about the important technical features of different blockchain platforms to design and implement blockchain-based health informatics applications. Scope Covered topics include (1) a brief introduction to healthcare or biomedical blockchain applications and the benefits to adopt blockchain; (2) a description of key features of underlying blockchain platforms in healthcare applications; (3) development of a method for systematic review of technology, based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, to investigate blockchain platforms for healthcare and medicine applications; (4) a review of 21 healthcare-related technical features of 10 popular blockchain platforms; and (5) a discussion of findings and limitations of the review.

Clinical Informatics Sub-Specialty Board Certification

2013 ◽  
Vol 34 (11) ◽  
pp. 525-530 ◽  
Author(s):  
C. U. Lehmann ◽  
V. Shorte ◽  
A. V. Gundlapalli
Keyword(s):  
Clinical Informatics ◽  
Board Certification ◽  
Specialty Board

Growing clinical informatics in a multifacility environment

2009 ◽  
Vol 40 (7) ◽  
pp. 18-21
Author(s):  
Elizabeth O. Johnson ◽  
Mary Beth Mitchell
Keyword(s):  
Clinical Informatics

Clinical Informatics

2017 ◽  
pp. 1-7
Author(s):  
Edward P. Ambinder
Keyword(s):  
Clinical Informatics
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