The Palm Computer Is Fast, Accurate and Portable for Burn Patient Data Collection

2000 ◽  
Vol 21 ◽  
pp. S247
Author(s):  
S. Lal ◽  
D. Chinkes ◽  
F. Smith ◽  
R. E. Barrow ◽  
D. N. Herndon
Keyword(s):  
Data Collection ◽  
Patient Data ◽  
Burn Patient

Patient-Data Collection System Used During Medical Operations After the 1994 San Fernando Valley-Northridge Earthquake

1995 ◽  
Vol 10 (3) ◽  
pp. 178-183 ◽  
Author(s):  
Ralph B. (Monty) Leonard ◽  
Lew W. Stringer ◽  
Roy Alson
Keyword(s):  
Data Collection ◽  
Patient Flow ◽  
Patient Data ◽  
Northridge Earthquake ◽  
Collection System ◽  
Data Collection System ◽  
Support Unit ◽  
Disaster Assistance ◽  
Major Disaster ◽  
Flow Information

AbstractIntroduction:In large disasters, such as earthquakes and hurricanes, rapid, adequate and documented medical care and distribution of patients are essential.Methods:After a major (magnitude 6.7 Richter scale) earthquake occurred in Southern California, nine disaster medical assistance teams and two Veterans Administration (VA) buses with VA personnel responded to staff four medical stations, 19 disaster-assistance centers, and two mobile vans. All were under the supervision of the medical support unit (MSU) and its supervising officer. This article describes the patient-data collection system used. All facilities used the same patient encounter forms, log sheets, and medical treatment forms. Copies of these records accompanied the patients during every transfer. Centers for Disease Control and Prevention data classifications were used routinely. The MSU collected these forms twice each day so that all facilities had access to updated patient flow information.Results:Through the use of these methods, more than 11,000 victims were treated, transferred, and their cases tracked during a 12-day period.Conclusions:Use of this system by all federal responders to a major disaster area led to organized care for a large number of victims. Factors enhancing this care were the simplicity of the forms, the use of the forms by all federal responders, a central data collection point, and accessibility of the data at a known site available to all agencies every 12 hours.

scholarly journals Landscape of MS patient cohorts and registries: Recommendations for maximizing impact

2017 ◽  
Vol 24 (5) ◽  
pp. 579-586 ◽  
Author(s):  
Bruce F Bebo ◽  
Robert J Fox ◽  
Karen Lee ◽  
Ursula Utz ◽  
Alan J Thompson
Keyword(s):  
Multiple Sclerosis ◽  
Data Collection ◽  
Patient Data ◽  
Landscape Analysis ◽  
Multiple Sclerosis Patients

Background: There is a growing number of cohorts and registries collecting phenotypic and genotypic data from groups of multiple sclerosis patients. Improved awareness and better coordination of these efforts is needed. Objective: The purpose of this report is to provide a global landscape of the major longitudinal MS patient data collection efforts and share recommendations for increasing their impact. Methods: A workshop that included over 50 MS research and clinical experts from both academia and industry was convened to evaluate how current and future MS cohorts could be better used to provide answers to urgent questions about progressive MS. Results: The landscape analysis revealed a significant number of largely uncoordinated parallel studies. Strategic oversight and direction is needed to streamline and leverage existing and future efforts. A number of recommendations for enhancing these efforts were developed. Conclusions: Better coordination, increased leverage of evolving technology, cohort designs that focus on the most important unanswered questions, improved access, and more sustained funding will be needed to close the gaps in our understanding of progressive MS and accelerate the development of effective therapies.

A multidisciplinary-guided digital solution to data capture in early-phase clinical trials.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18063-e18063
Author(s):  
Donna M. Graham ◽  
Joanna Clarke ◽  
Gemma Wickert ◽  
Leanna Goodwin ◽  
Carla Timmins ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Focus Group ◽  
Data Collection ◽  
Early Phase ◽  
Patient Data ◽  
Simulated Patient ◽  
Data Capture ◽  
Health Staff ◽  
Case Report Form ◽  
Acceptance Test

e18063 Background: Data capture in early phase cancer clinical trials (EPCCT) is usually via paper records with manual transcription to the sponsor’s case report form. Capturing real time trial data directly to computer (eSource) may reduce errors and increase completeness and timeliness of data entry. A simulated system pilot took place between Oct 2018 and Jan 2019 at an EPCCT facility to appraise Foundry Health’s eSource system “ClinSpark”. Aims were to assess consistency and effectiveness of creating electronic templates for source data capture and live data collection compliance. Methods: A multidisciplinary focus group (2 research nurses, 1 doctor, 3 data managers) was created to collaborate with Foundry Health staff. The focus group agreed on a 52 item user acceptance test listing ideal features for a data collection tool, classifying items as high, medium or low priority. Specialised features of the eSource system were adapted to handle the complex needs of EPCCT. The pilot incorporated a 5 day boot camp for familiarisation to the digital platform; a conference room test using simulated patient data; construction of a trial template including contingency planning; and a clinic floor test with live simulated patient data collection using digital tablets. Results: During the 3 month pilot, templates for 2 EPCCT were planned and created. Using eSource, 43 items (83%) of the acceptance test were passed compared with 27 items (52%) for the current (paper-based) system. The paper system did not pass any of the 9 items for which eSource failed. For the 30 high priority items, eSource passed 30 (100%) compared with 22 for the paper system (73%). Time saving and potential error reduction were noted as additional benefits. Conclusions: This process demonstrates that a multidisciplinary approach can be used to successfully integrate a customised eSource system working with previously untrained staff. Improved performance across pre-specified domains and potential additional benefits were noted. As FDA encourages the use of digital solutions in clinical trials, using eSource provides a potential solution for compliant and efficient capture of data from protocol assessments at investigator sites and rapid data transfer to sponsors.

scholarly journals The Benefits of Direct-to-Patient Data Collection for Data Consistency and Completeness: Lessons From Force-Tjr

Iproceedings ◽  
2017 ◽  
Vol 3 (1) ◽  
pp. e54
Author(s):  
Stephanie Wissig ◽  
Julianne Hunn ◽  
Hua Zheng ◽  
Celeste Lemay ◽  
David Ayers ◽  
...  
Keyword(s):  
Data Collection ◽  
Patient Data ◽  
Data Consistency

scholarly journals Developing the Role of a Health Information Professional in a Clinical Research Setting

2010 ◽  
Vol 5 (2) ◽  
pp. 47 ◽  
Author(s):  
Helen M. Seeley ◽  
Christine Urquhart ◽  
Peter Hutchinson ◽  
John Pickard
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Health Information ◽  
Information Management ◽  
Patient Data ◽  
Research Approach ◽  
Information Analysis ◽  
Action Research Approach ◽  
Information Professional

Objective - This paper examines the role of a health information professional in a large multidisciplinary project to improve services for head injury. Methods - An action research approach was taken, with the information professional acting as co-ordinator. Change management processes were guided by theory and evidence. The health information professional was responsible for an ongoing literature review on knowledge management (clinical and political issues), data collection and analysis (from patient records), collating and comparing data (to help develop standards), and devising appropriate dissemination strategies. Results - Important elements of the health information management role proved to be 1) co-ordination; 2) setting up mechanisms for collaborative learning through information sharing; and 3) using the theoretical frameworks (identified from the literature review) to help guide implementation. The role that emerged here has some similarities to the informationist role that stresses domain knowledge, continuous learning and working in context (embedding). This project also emphasised the importance of co-ordination, and the ability to work across traditional library information analysis (research literature discovery and appraisal) and information analysis of patient data sets (the information management role). Conclusion - Experience with this project indicates that health information professionals will need to be prepared to work with patient record data and synthesis of that data, design systems to co-ordinate patient data collection, as well as critically appraise external evidence.

scholarly journals P121: Understanding health equity: a pilot project to collect socio-demographic information on emergency department patients at registration

CJEM ◽  
2017 ◽  
Vol 19 (S1) ◽  
pp. S119
Author(s):  
S. Vaillancourt ◽  
M. McGowan ◽  
C. Semprun ◽  
P. Hannam ◽  
G. Bandiera ◽  
...  
Keyword(s):  
Emergency Department ◽  
Data Collection ◽  
Large Scale ◽  
Capture Rate ◽  
Tertiary Care ◽  
Participation Rate ◽  
Pilot Project ◽  
Patient Data ◽  
Structured Interviews ◽  
Number Of Patients

Introduction: There is strong evidence that socio-economic factors such as income, housing and ethnicity are linked to health outcome disparities for emergency department (ED) patients. However, lack of real-time patient data has limited our ability to identify, understand and address health disparities. During a 14-week period, we assessed the feasibility and acceptability of the systematic collection of patient-level equity data in a busy tertiary care urban ED. Methods: We assessed feasibility by directly observing impact on registration time, percentage of patients on which data was collected, and ambulance patient data collection. We also assessed acceptability to patients, registration staff and clinicians through structured interviews of patients systematically sampled, focus group and surveys of registration staff and survey of clinicians. Results: Over the course of the study, equity data was collected on 2017 patients. Capture rate peaked in week 7 with 51% of eligible patients offered the equity questions and 30% answering. Average patient registration time increased from 215 seconds to 345 seconds (60%). Data collection with ambulance patients did not appear feasible. Patients (n=30) reported being comfortable with most questions except income (47% comfortable). 93% believed it could improve health services. However, a small number of patients voiced concern that the data could result in discrimination. Registration staff required sustained support and engagement, but some continued to feel uncomfortable with offering the questionnaire to some patients. Conclusion: Large scale collection of equity data is feasible but requires additional resources and sustained staff and patient support. Patient participation rate is likely to remain relatively low and is likely to underestimate disadvantaged groups. Data collection at multiple points within an institution may improve capture rate.

scholarly journals A multidisciplinary-tailored digital solution to data capture in early phase clinical trials.

2019 ◽  
Vol 5 (suppl) ◽  
pp. 2-2
Author(s):  
Donna M. Graham ◽  
Gemma Wickert ◽  
Leanna Goodwin ◽  
Joanna Clarke ◽  
Carla Timmins ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Data Collection ◽  
Early Phase ◽  
Patient Data ◽  
Simulated Patient ◽  
Data Capture ◽  
Health Staff ◽  
Case Report Form ◽  
Acceptance Test ◽  
Time Saving

2 Background: Data capture in early phase cancer clinical trials (EPCCT) is usually via paper records with manual transcription to the sponsor’s case report form. Capturing real time trial data directly to computer (eSource) may reduce errors and increase completeness and timeliness of data entry. A simulated system pilot took place between Oct 2018 and Jan 2019 at an EPCCT facility to appraise Foundry Health’s eSource system “ClinSpark”. Aims were to assess consistency and effectiveness of creating electronic templates for source data capture and live data collection compliance. Methods: A multidisciplinary focus group (MFG) (2 research nurses, 1 doctor, 3 data managers) was created to collaborate with Foundry Health staff. Specialised features of the eSource system were adapted to handle the complex needs of EPCCT. The pilot incorporated a 5 day boot camp for familiarisation to the digital platform; a conference room test using simulated patient data; construction of a trial template including contingency planning; and a clinic floor test with live simulated patient data collection using digital tablets. The MFG agreed on a 52 item user acceptance test listing ideal features for a data collection tool, with items classified as high, medium or low priority. Results: During the 3 month pilot, templates for 2 EPCCT were planned and created by the MFG. Using eSource, 43 items (83%) of the acceptance test were passed compared with 27 items (52%) for the current (paper) system. For the 30 high-priority items, eSource passed 30 (100%) compared with 22 for the paper system (73%). The paper system was not superior to eSource for any items assessed. Time saving and potential error reduction were noted as additional benefits. Conclusions: This process demonstrates that a multidisciplinary approach can be used to successfully integrate a customised eSource system working with previously untrained staff. Improved performance across pre-specified domains and potential additional benefits were noted. As FDA encourages use of digital solutions in clinical trials, using eSource provides a potential solution for compliant and efficient data capture from protocol assessments at investigator sites and rapid data transfer to sponsors.

Sign in / Sign up

Export Citation Format

Share Document