Building a Harmonized Datamart by Integrating Cross-Institutional Systems of Clinical, Outcome, and Genomic Data: The Pediatric Patient Informatics Platform (PPIP)

2021 ◽  
pp. 202-215
Author(s):  
Clement Ma ◽  
Madhumitha Sridharan ◽  
Hasan Al-Sayegh ◽  
Anran Li ◽  
Dongjing Guo ◽  
...  
Keyword(s):  
Clinical Outcome ◽  
Pediatric Patient ◽  
Medical Data ◽  
Project Teams ◽  
User Requirements ◽  
Blood Disorders ◽  
Research Activities ◽  
Source Data ◽  
Query Tool ◽  
Derived Data

PURPOSE Siloed electronic medical data limits utility and accessibility. At the Dana-Farber/Boston Children's Cancer and Blood Disorders Center, cross-institutional data were inconsistent and difficult to access. To unify data for clinical operations, administration, and research, we developed the Pediatric Patient Informatics Platform ( PPIP), an integrated datamart harmonizing multiple source systems across two institutions into a common technology. PATIENTS AND METHODS Starting in 2009, user requirements were gathered and data sources were prioritized. Project teams, including biostatisticians, database developers, and an external contractor, were formed. Read-access to source systems was established. The 3-layer PPIP architecture was developed: STAGING, a near-exact copy of source data; INTEGRATION, where data were reorganized into domains; and, CONSUMPTION, where data were optimized for rapid retrieval. The diverse systems were integrated into a common IBM Netezza technology. Data filters were defined to accurately capture the Center's patients, and derived data items were created for harmonization across sources. An interactive online query tool, PPIP360, was developed using Microstrategy Analytics. RESULTS Driven by scientific objectives, the PPIP datamart was created, including 33,674 patients, 2,983 protocols, and 3.6 million patient visits from 14 source databases, 164 source tables, and 2,622 source data items. The PPIP360 has 605 data items and 33 metrics across 11 reports and dashboards. Dana-Farber and Boston Children's established a legal data-sharing agreement. The PPIP has supported hundreds of faculty, staff, and projects, including planning clinical trials and informing strategic planning. CONCLUSION The PPIP has successfully harmonized and integrated diagnostic, demographic, laboratory, treatment, clinical outcome, pathology, transplant, meta-protocol, and –omics data, for efficient, daily operational and research activities at Dana-Farber/Boston Children's Cancer and Blood Disorders Center, and future external sharing.

Disaster relief, and search and rescue robots: the way forward

2019 ◽  
Vol 46 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Robert Bogue
Keyword(s):  
Collaborative Research ◽  
Disaster Relief ◽  
Search And Rescue ◽  
User Requirements ◽  
Short Introduction ◽  
Content Type ◽  
Research Activities ◽  
Real World Applications ◽  
Research Programmes ◽  
Insight Into

Purpose This paper aims to provide an insight into the future for disaster relief (DR) and search and rescue (SAR) robots by considering research activities which seek to address real-world applications and by identifying key user requirements and development priorities. Design/methodology/approach Following a short introduction, this first provides a brief overview of the use of robots in DR and SAR and gives examples of organisations promoting their use. This is followed by details of development programmes aimed at meeting users’ requirements. Specific needs are identified and considered in detail and were derived from both the literature and through discussions with users. This paper concludes with a tabulated summary of key development priorities. Findings This study shows that several collaborative research programmes aim to address real DR and SAR applications, with robots being tested in simulated disaster scenarios. A number of key user requirements and development priorities are identified for aerial, ground and marine robots. Originality/value By identifying a number of specific requirements, this paper will assist in focussing research and development activities towards real users’ needs.

scholarly journals Impact of Comorbidities on Clinical Outcome of Patients with COVID-19: Evidence From a Single-center in Bangladesh

Health Scope ◽  
2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Md Jahidul Hasan ◽  
Ahmad Mursel Anam ◽  
Shihan Mahmud Redwanul Huq ◽  
Raihan Rabbani
Keyword(s):  
Intensive Care Unit ◽  
Clinical Outcome ◽  
Clinical Outcomes ◽  
Positive Association ◽  
Medical Data ◽  
Single Center ◽  
Increased Risk ◽  
Ventilation Support ◽  
Mechanical Ventilation Support ◽  
The Impact

Background: COVID-19 patients with preexisting comorbidities are at increased risk of exacerbated symptoms. Objectives: The current study aimed to firstly assess the impact of predisposed comorbidities on the severity of COVID-19, and secondly investigating the associated clinical outcome of patients with COVID-19 infection in Bangladesh. Methods: In this single-center retrospective study, the medical data of 157 hospitalized COVID-19 patients, including their preexisting comorbidities, from April 30, 2020, to June 15, 2020, are analyzed. Patients’ clinical outcomes in moderate-to-critical COVID-19 infections need for Intensive Care Unit (ICU) and mechanical ventilation support, and mortality were evaluated, with emphasis on predisposed chronic diseases. Results: Approximately 40.1 and 7.6% of patients (n = 157) presented severe and critical COVID-19 symptoms, respectively (P = 0.001). The most common comorbidity was diabeties (24.8%), followed by hypertension (23.2). Patients with one or two comorbidities did not present critical symptoms. Most of the critical cases had at least five comorbidities compared to those with 3 or 4 comorbidities (33.3% versus 8.3%; P = 0.038). The highest incidence of critical COVID-19 (41.7%) was among those with 7 comorbidities. Compared to patients with 4 or fewer comorbidities, patients with 5 (n = 15), 6 (n = 4), and 7 (n = 7) comorbidities were more hospitalized at ICU (above 70%, P = 0.025) and had a higher need for intubation support (above 60%, P = 0.038), and presented higher 30-day mortality (6.7, 25, and 28.6%, respectively; P = 0.002), which can be attributed to the declined clinical outcome of patients with 5 or more comorbidities in moderate-to-critical COVID-19 infection. Conclusions: This study demonstrated a positive association between the severity of COVID-19 and the number of predisposed comorbidities, which leads to poor clinical outcomes.

Computer-aided methods for 3-D visualization of serial sections and thick biological specimens

1992 ◽  
Vol 50 (2) ◽  
pp. 1060-1061
Author(s):  
Mark Ellisman ◽  
Maryann Martone ◽  
Gabriel Soto ◽  
Eleizer Masliah ◽  
David Hessler ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Three Dimensional ◽  
Neuritic Plaque ◽  
Dimensional Structure ◽  
Data Sets ◽  
Molecular Physiology ◽  
Research Activities ◽  
Computer Aided ◽  
Dimensional Reconstruction

Structurally-oriented biologists examine cells, tissues, organelles and macromolecules in order to gain insight into cellular and molecular physiology by relating structure to function. The understanding of these structures can be greatly enhanced by the use of techniques for the visualization and quantitative analysis of three-dimensional structure. Three projects from current research activities will be presented in order to illustrate both the present capabilities of computer aided techniques as well as their limitations and future possibilities.The first project concerns the three-dimensional reconstruction of the neuritic plaques found in the brains of patients with Alzheimer's disease. We have developed a software package “Synu” for investigation of 3D data sets which has been used in conjunction with laser confocal light microscopy to study the structure of the neuritic plaque. Tissue sections of autopsy samples from patients with Alzheimer's disease were double-labeled for tau, a cytoskeletal marker for abnormal neurites, and synaptophysin, a marker of presynaptic terminals.

Ethnogeriatrics: Development and Application of the Cohort Analysis Tool

2014 ◽  
Vol 21 (2) ◽  
pp. 37-52
Author(s):  
Melen McBride
Keyword(s):  
Healthcare Professionals ◽  
Cohort Analysis ◽  
Analysis Tool ◽  
Speech Language Pathology ◽  
Clinical Tool ◽  
Research Activities ◽  
Key Concepts ◽  
Practice Teaching ◽  
Language Pathology ◽  
Significant Factors

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.

Foreign bodies in the pediatric patient

1998 ◽  
Vol 35 (4) ◽  
pp. 271-378 ◽  
Author(s):  
D JOHNSON ◽  
V CONDON
Keyword(s):  
Pediatric Patient ◽  
Foreign Bodies

Clinical outcome and long-term survival following radical esophagectomy in the elderly

2001 ◽  
Vol 120 (5) ◽  
pp. A747-A748
Author(s):  
S DRESNER ◽  
A IMMMANUEL ◽  
P LAMB ◽  
S GRIFFIN
Keyword(s):  
Clinical Outcome ◽  
The Elderly ◽  
Radical Esophagectomy ◽  
Term Survival ◽  
Long Term Survival

101: Clinical Outcome of Acute Prostatitis, a Multicenter Study

2005 ◽  
Vol 173 (4S) ◽  
pp. 28-28 ◽  
Author(s):  
In Rae Cho ◽  
K.S. Lee ◽  
J.S. Jeon ◽  
S.S. Park ◽  
L.C. Sung ◽  
...  
Keyword(s):  
Clinical Outcome ◽  
Multicenter Study ◽  
Acute Prostatitis
Sign in / Sign up

Export Citation Format

Share Document