№ lp_2_1_15087
File format: docx
Character count: 76605
File size: 145 KB
The document provides a detailed description of the performance requirements and scope for contractors involved in the DoD and VA Infrastructure for Clinical Intelligence (DAVINCI) project, a joint initiative focused on improving data integration between the Department of Defense and the Department of Veterans Affairs for health services research.
Year:
2016
Region / City:
United States
Topic:
Data Integration, Health Services Research, Medical Care
Document Type:
Performance Work Statement
Organization:
Department of Veterans Affairs (VA)
Author:
Department of Veterans Affairs (VA)
Target Audience:
Contractors, Government Officials, Research and Development Personnel
Effective Period:
May 11, 2016
Approval Date:
May 11, 2016
Amendment Date:
Not specified
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.
The file will be delivered to the email address provided at checkout within 12 hours.
Don’t have cryptocurrency yet?
You can still complete your purchase in a few minutes:- Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
- In the app, tap Send.
- Select network, paste our wallet address.
- Send the exact amount shown above.
The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
Date:
September 10, 2020
Series:
VA Informatics and Computing Infrastructure
Session:
Efficiently Accessing VINCI Data in R
Presenter:
Andrew Redd, PhD
Year:
2020
Region / City:
Not specified
Topic:
Using R efficiently on VINCI
Document Type:
Transcript
Organization / Institution:
VA, University of Utah
Author:
Andrew Redd, PhD
Target Audience:
Researchers, R users
Period of Action:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Context:
Unedited transcript of a cyberseminar session on using R in the VINCI infrastructure, covering common issues and practical tips for improving workflow.
Document type:
Supplementary table
Study design:
Comparative clinical study
Sample size:
150 patients
Groups:
Da Vinci® (n=50); Hugo RAS™ (n=50); Versius® (n=50)
Field:
Urology
Procedure:
Radical prostatectomy
Outcomes assessed:
Nerve-sparing surgery; Prostatectomy Gleason Score; Pathological stage (pT); Lymph-node dissection; Number of lymph-nodes dissected; Positive surgical margins; Detectable PSA (≥0.1 ng/mL) at 1 and 6 months; Urinary continence (>3 pads per day) at 1, 3 and 6 months
Follow-up period:
6 months
Statistical analysis:
p-values for pairwise comparisons (DV|HR; DV|V; HR|V)
Questionnaire referenced:
UCLA-PCI
Year:
2026
Organization:
VINCI Services, Department of Veterans Affairs
Type of document:
Presentation transcript
Author:
Steve Oostema
Audience:
Researchers and VA staff
Topics:
VA data resources, data services, cohort assessments, patient recruitment, feasibility studies
Data sources mentioned:
VistA, Cerner Millennium, DaVINCI, OMOP, COVID-19 Shared Data Resource, Million Veteran Program, USVETS, VASQIP, Health Economics Data, Geocoded data
Services described:
Data Needs Assessment, Feasibilities, Patient Lists, Cohort Consultations, Education Arm
Geographic scope:
United States, VA medical centers, non-VA centers
Time period covered:
2018–present
Endnote:
Internal VA data management presentation for research facilitation
Year:
2026
Region / City:
USA
Theme:
Subscription Services for Veterans Affairs
Document Type:
Statement of Work (SOW)
Organization / Institution:
Department of Veterans Affairs (VA)
Author:
Not specified
Target Audience:
Contractors providing subscription services
Period of Action:
5 years from date of award
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2026
Institution:
Gdańsk University of Technology
Faculty:
Faculty of Electronics, Telecommunication and Informatics
Type of document:
Instruction / Procedure
Scope:
Online diploma examinations for BA and MA degrees
Platform:
eNauczanie
Responsible unit:
Department supervising the thesis or profile
Approval:
Circular Letter of the Rector of Gdańsk University of Technology
Target audience:
Students, examination committee members, department staff
Validity period:
From issuing date until further notice
Description:
Procedural guide for conducting, recording, and archiving online diploma examinations at the faculty, detailing roles, technical requirements, and steps for BA and MA students.
Year:
2026
Region / City:
Gainesville, Florida
Subject:
Health Informatics, Healthcare Technologies
Document Type:
Syllabus
Institution:
University of Florida, College of Public Health and Health Professions
Author:
Frederick R. Kates, PhD, MBA
Target Audience:
University students, health informatics students
Period of Action:
Spring 2026
Approval Date:
N/A
Date of Revisions:
N/A
Note:
Year
Region / City:
Pokhara-30, Kaski, Nepal
Field:
Health Informatics
Document Type:
Checklist
Organization / Institution:
Pokhara University, Faculty of Health Sciences
Target Audience:
Prospective Master of Health Informatics students
Course:
BMI 6000: Practicum in Biomedical Informatics
Document Type:
Academic paper template
Academic Field:
Biomedical Informatics
Institutional Context:
Graduate-level coursework
Required Sections:
Summary/Abstract; Introduction; Evidence-Based Practice Review; Learning Objectives and Expected Outcomes; Methods; Results; Discussion; Conclusion; References; Acknowledgements
Formatting Style:
APA
Includes:
Table of Contents instructions; examples of tables and figures; heading level guidelines; submission and acceptance signature lines
Submission Elements:
Student Signature; Faculty Signature; Date project submitted; Date project accepted
Year:
2023-2025
Region / City:
Not specified
Theme:
Radiographic Informatics
Document Type:
Work Plan
Organization / Institution:
Radiographic Informatics Advisory Group (RIAG)
Author:
Richard Evans OBE
Target Audience:
Radiography professionals, members of SoR, stakeholders in healthcare informatics
Effective Period:
2023-2025
Approval Date:
Not specified
Modification Date:
Not specified
Context:
Work plan outlining objectives, actions, and targets for the Radiographic Informatics Advisory Group for 2023-2025, focusing on engagement, development, standards, and influence in the field of radiographic informatics.
Year:
2021-22
Class:
11th
Subject:
Informatics Practices
Code:
065
Maximum Marks:
35
Time:
2 hours
Sections:
A, B, C
Document Type:
Examination Paper
Target Audience:
Students
Topics Covered:
Big Data, NLP, SQL Queries, Cloud Computing, Database Operations, Employee and Movie Table Queries
Internal Choices:
Questions 1, 3, 8, 12
Year:
2022
Date:
26 April 2022
Time:
9.35–11.00
City:
Krakow
Country:
Poland
Format:
Online (via Webex)
Event Type:
Academic seminar
Organizers:
Institute of Computer Science AGH; IBM Software Laboratory in Krakow
Affiliated Body:
Quantum Computing Section of the Computer Science Committee of the Polish Academy of Sciences
Speaker:
Paweł Gora
Speaker Affiliation:
Faculty of Mathematics, Informatics and Mechanics, University of Warsaw
Lecture Title:
Solving Vehicle Routing Problems using Quantum Computing
Topics:
Quantum computing; Vehicle Routing Problems; QUBO formulations; quantum annealing; QAOA; VQE; artificial intelligence
Program:
KQIS – Krakow Quantum Informatics Seminar
Year:
2021
Region / City:
Global
Theme:
Public Health, Informatics, Data Science
Document Type:
Video
Organization / Institution:
Centers for Disease Control and Prevention (CDC), University of Washington, International Training and Education Center for Health (I-TECH), World Health Organization (WHO)
Author:
Dr. Peter Rabinowitz, Xenophon M. Santas
Target Audience:
Public health professionals
Period of Validity:
2021–2022
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Date of Update:
9/20/2023
Subject:
Public Health Informatics Training and Professional Development
Document Type:
Compiled Resource List
Organization:
CSTE
Related Program:
AITT (Applied Informatics Training Track)
Contributing Office:
CSTE Science and Surveillance Office (SSO)
Geographic Scope:
United States
Intended Audience:
Public health professionals and AITT participants
Resource Formats:
Online courses, in-person trainings, websites, tools, books
Cost Structure:
Free and paid learning opportunities
Access Requirements:
Some resources require free account registration
Content Sections:
Websites to browse; Online Course Options – Free; Online Course Options – Paid; Online Tools and Resources; Books; SSO Shared Resources
Revision:
4.2.2020
Organization:
United States Department of Veterans Affairs
Abbreviation:
VA
Subject:
Health informatics and data analytics training
Document Type:
Resource directory
Access Requirements:
Some resources require VA network login
Platforms Covered:
Excel, Access, Office 365, Microsoft Power BI, Pyramid Analytics, SAS, SQL
Training Systems Referenced:
VA TMS, MyEES/iLearn, RAFT
Intended Audience:
VA staff involved in data analytics and health care quality improvement
Geographic Scope:
United States
Related Infrastructure:
VA Informatics and Computing Infrastructure (VINCI)
Year:
2022
Region/City:
USA
Field:
Informatics
Document Type:
Curriculum Plan
Institution:
Penn State University
Author:
Penn State University
Target Audience:
Graduate Students
Period of Validity:
Academic Year 2022-2023
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2026
Institution:
University Nursing Program
Course Code:
NURS 472
Type of Document:
Syllabus / Course Outline
Topics:
Health Informatics, Electronic Health Records, Clinical Decision Support, Interoperability, Evidence-Based Practice
Authors/Instructors:
Faculty of Nursing Informatics
Target Audience:
Nursing students
Duration:
4 weeks
Learning Materials:
Textbooks, Articles, Online Lectures, Official Guidelines
Assessment Methods:
Discussion posts, Quizzes, Video Notes, Escape Room Activities
Prerequisites:
Basic nursing knowledge
Endorsements:
National Academy of Medicine, Institute of Medicine, ONC Guidelines
Language:
English
Section:
Biomedical Informatics and Data Science
Program:
HSI: Clinical Informatics (Online Post Baccalaureate Certificate)
Institution:
Johns Hopkins School of Medicine
Department:
Health Sciences Informatics
Program Type:
Online Post Baccalaureate Certificate
Field:
Clinical Informatics
Credit Requirement:
21 credits
Application Period:
September 1 – April 7
Application Fee:
$115
Eligible Applicants:
Holders of relevant undergraduate or graduate degrees with specified professional experience
Language Requirement:
TOEFL or IELTS for non-native English speakers
Transcript Service for International Students:
WES
Interview Format:
Zoom or similar online services
Review Process:
Rolling review after application deadline
Background Check:
Required upon acceptance
Official Transcript Submission:
Required upon acceptance
Contact Email (Program):
[email protected]
Contact Email (Admissions):
[email protected]
Year:
2019
Region / City:
United States
Topic:
Veterans Affairs, Health Technology Integration
Document Type:
Performance Work Statement
Organization:
Department of Veterans Affairs, Office of Information & Technology
Author:
Department of Veterans Affairs
Target Audience:
Contractors, IT professionals, Health Technology developers
Period of Validity:
Ongoing, until completion of task orders
Approval Date:
June 20, 2019
Date of Changes:
N/A
Year:
2019
Region / City:
United States
Subject:
Cybersecurity
Document Type:
Performance Work Statement
Author:
Department of Veterans Affairs
Target Audience:
Contractors, cybersecurity professionals
Period of validity:
Not specified
Approval Date:
June 28, 2019
Date of amendments:
Not specified