№ lp_1_2_70546
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Character count: 35412
File size: 62 KB
The document presents a matrix summarizing health care needs and population segmentation in British Columbia for a fiscal year based on diagnoses and services usage.
Note:
Year
Subject:
Health Care, Population Segmentation, Health Needs Assessment
Document Type:
Report
Organization / Institution:
Ministry of Health, BC
Target Audience:
Health professionals, policy makers, healthcare administrators
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2024
Note:
Region / City
Topic:
Wireless LANs, EHT Sounding Feedback Segmentation
Document Type:
Technical Standard Draft
Organization / Institution:
IEEE
Author:
Youhan Kim
Target Audience:
IEEE 802.11 Working Group members, technical specialists in wireless communication
Year:
2023
Region / City:
Finland
Topic:
Technology Adoption, Professional Autonomy, Managerial Control, Education
Document Type:
Academic Paper
Organization / Institution:
University of Liverpool, Boston College
Authors:
Tomi Koljonen, Curtis K. Chan
Target Audience:
Academics, Researchers, Professionals in Education and Technology Management
Period of Action:
16 months
Approval Date:
N/A
Date of Changes:
N/A
Year:
2022
Region / City:
US
Topic:
Supplier Classification and Segmentation
Document Type:
Test Script
Organization / Institution:
SAP
Author:
SAP
Target Audience:
SAP S/4HANA users involved in supplier management
Period of validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Type of source:
Supplementary appendix
Related work:
Patterns of morbidity across the lifespan: a population segmentation framework for classifying healthcare needs for all ages
Subject area:
Population health
Topic:
Healthcare need classification
Methodology:
Population segmentation
Framework:
Johns Hopkins Patient Need Groups
System referenced:
Johns Hopkins ACG System
Institution:
Johns Hopkins University
Measures used:
Adjusted Clinical Group measures
Data basis:
ICD codes
Population coverage:
All ages
Health sectors:
Private health plans and Medicare
Version referenced:
ACG System Version 12.0
Publication year:
2019
Access date:
January 27, 2022
Year:
2020
Region / City:
Online
Topic:
RAN, Core Network, Segmentation
Document Type:
Change Request
Organization / Institution:
3GPP
Author:
MediaTek Inc., Ericsson
Target Audience:
Technical Working Groups, Telecom Professionals
Effective Period:
2020
Approval Date:
2020-02-28
Revision History:
Rev 021
Category:
B (Addition of Feature)
Release:
Rel-16
Reason for Change:
Agreements related to LTE portions of the RACS work item need to be captured in TS 36.300
Changes Summary:
Describes segmentation of capability information, inclusion of ID representing AS capabilities in NAS signalling, and segmentation in both uplink and downlink.
Consequences if Not Approved:
Stage 2 description of RACS and DL RRC segmentation is missing
Affected Clauses:
7.x (new), 18
Note:
Context Description
Year:
2020
Note:
Region / City
Theme:
Image Processing, Cloud Computing, IoT, Artificial Intelligence, COVID-19
Document Type:
Journal Article, Conference Proceedings
Organization / Institution:
Springer, IOP Publishing, ACM
Author:
Rupak Chakraborty, Garima Verma, Suyel Namasudra, Arun Kumar Sangaigh, R.Shaw, M. Mishra, Amrut Ranjan Jena, Ipsita Saha, et al.
Target Audience:
Researchers, Academics, Professionals in Computing and Engineering
Period of Action:
2020-2021
Year:
2024
Region / Country:
Global, with examples from Nepal, Pakistan, Bangladesh, Mali, Ethiopia
Topic:
Childhood pneumonia treatment and community health communication
Document Type:
Guidance / Strategy document
Organization:
PATH
Author:
Public Health Communication Team
Target Audience:
Caregivers, Community Health Workers, Non-clinical Providers, Clinical Providers
Influencing Audience:
Extended family members and community members
Period of Implementation:
Ongoing community health programs
Key Interventions:
Amoxicillin administration, community health education, advocacy for timely care
Case Studies Included:
Bina (Nepal), Neha (Pakistan), Kanta (Bangladesh), Issa (Mali), Dr. Simaret (Ethiopia), Mrs. Bekele (Ethiopia)
Reference Materials:
Scaling Up Lifesaving Commodities for Women, Children, and Newborns: An Advocacy Toolkit
Year:
2026
Region / City:
Not specified
Topic:
Business, Marketing
Document Type:
Project Assignment
Organization:
Not specified
Author:
Not specified
Target Audience:
Students
Effective Period:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
Not specified
Field:
Biomedical Engineering; Computational Biology; Medical Image Analysis
Topic:
Nuclei segmentation in fluorescent microscopy images
Document type:
Scientific dataset description and research article
Dataset name:
Breast Mammary Gland Dataset (BMGD)
Authors:
Zabina Tasneem; Jinwei Fan; Aishwarya Shrestha; Joy Zhao; Qingsu Cheng
Affiliated institutions:
University of Wisconsin-Milwaukee; Whitefish Bay High School
Corresponding author:
Qingsu Cheng
Corresponding author email:
[email protected]
Geographical affiliation:
Milwaukee, Wisconsin, United States
Imaging method:
Confocal fluorescent microscopy
Microscope model:
Zeiss LSM 710 confocal microscope
Objective lens:
Zeiss Apochromat 40X/1.1 water-immersion objective
Dataset size:
819 image patches
Annotated objects:
More than 9,500 manually segmented cell nuclei
Image type:
DAPI-stained fluorescent images of mammary organoids
Image resolution:
12-bit images
Voxel size:
0.25 µm × 0.25 µm × 1 µm
Data format:
Laser Scanning Microscope (.lsm) files
Annotation tool:
Labkit extension within the FIJI platform
Annotation effort:
More than 800 hours of manual labeling
Biological material:
Mammary epithelial cell cultures
Experimental condition:
Cultures exposed to different microenvironmental stiffness conditions
Primary research use:
Development and evaluation of machine learning and deep learning nuclei segmentation algorithms
Related research area:
Breast cancer cellular response analysis
Year:
2026
Region / City:
Madison (example)
Topic:
Program Planning and Audience Analysis
Document Type:
Worksheet
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Program planners or coordinators
Period of Use:
Current program cycle
Date of Creation:
Not specified
Date of Last Revision:
Not specified
Year:
2021
Region / City:
Mediterranean Sea
Topic:
Conservation status, migratory species
Document type:
Scientific Council Report
Organization / Institution:
UNEP/CMS
Author:
Scientific Council
Target audience:
Parties to the Convention, conservationists
Period of validity:
Ongoing
Approval date:
Not specified
Date of changes:
Not specified
Year:
2025
Region / City:
Gainesville, FL
Subject:
Nursing, Public Health
Document Type:
Course Syllabus
Institution:
University of Florida, College of Nursing
Instructor(s):
Sally Bethart, DNP, APRN, FNP-BC, PHNA-BC, CNE; Marisa Belote, PhD, MBA, RN, CNE
Target Audience:
Nursing Students, RN to BSN Program Participants
Duration:
Fall Semester 2025
Approval Date:
Not specified
Modification Date:
Not specified
Note:
Year
Region / City:
North East London
Topic:
Population Health Management, Data Analytics
Document Type:
Announcement
Organization / Institution:
North East London ICB, Optum
Author:
Melissa Gowans, Matt Jones
Target Audience:
GP Practices, Primary Care Networks, Local Authorities, Secondary Care Providers
Note:
Year
Region / City:
Suffolk and North East Essex
Theme:
Population Health Management, Integrated Care Systems
Document Type:
Guide
Organization / Institution:
Suffolk and North East Essex Integrated Care System
Target Audience:
Health and care professionals in Suffolk and North East Essex
Year:
2023
Region / city:
United Kingdom
Topic:
Population and migration statistics
Document type:
Consultation document
Author:
Office for National Statistics (ONS)
Target audience:
Policy makers, statisticians, public sector employees, researchers, and general public
Period of validity:
Indefinite
Approval date:
June 2023
Date of amendments:
Not specified
Year:
2020
Region / City:
Austin
Topic:
Population and Employment Forecasting
Document Type:
Report
Organization:
City of Austin
Author:
City Demographer and City Departments
Target Audience:
City Planners, Researchers, Policymakers
Period of Validity:
2010-2040
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2012
Region / City:
Falls Church, VA
Theme:
Defense Health Services, Data Management, Health Systems
Document Type:
Interface Control Document (ICD)
Organization:
DHSS Program Executive Office
Author:
Ms. Karen Hass
Target Audience:
DHSS, TMA, MHS Data Management, Health Planning Analysts
Period of Validity:
Not specified
Approval Date:
May 18, 2012
Revision Date:
Not specified
Year:
2026
Region / City:
London
Topic:
Smart Metering, Network Operators, Trust Anchor Cells
Document Type:
Engineering Recommendation
Organization:
Energy Networks Association
Author:
Energy Networks Association
Target Audience:
Energy suppliers, network operators
Effective Period:
Ongoing
Approval Date:
January 2026
Revision Date:
January 2026
Document type:
Professional resume
Name:
Shannon Kelly
Email:
[email protected]
Primary field:
Healthcare quality management
Specialization:
Population health and value-based care
Years of experience:
Over 10 years
Industries:
Healthcare, health insurance, population health management
Key domains:
HEDIS, NCQA, CMS, Medicare Advantage, Medicaid, commercial health plans
Employers:
Mass General Brigham, South Shore Health
Current role:
Director, Value Based Care Performance, Medicare Advantage
Teaching role:
Term Lecturer, Healthcare Strategy and Quality Improvement
Education:
MBA in Healthcare Administration; Certificate in Data Science; BA in Business Administration
Certifications:
FACHE
Geographic focus:
United States
Time period covered:
2019–2026
Year:
2023
Region / City:
Birmingham, Alabama
Topic:
Cancer Research, Grant Programs
Document Type:
Research Grant Information
Organization / Institution:
UAB (University of Alabama at Birmingham)
Author:
O’Neal Cancer Center
Target Audience:
UAB Faculty, Cancer Researchers
Period of Validity:
Ongoing
Approval Date:
Not specified
Modification Date:
Not specified
Contextual Description:
A guide for UAB faculty on applying for O’Neal Invests grants supporting cancer research in basic and population sciences.