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Towards Paperless Hospitals: Lessons Learned from 15 Health Facilities in Uganda [chapter]

Benjamin Kanagwa, Jenard Ntacyo, Sam Orach
2016 Advances in Intelligent Systems and Computing  
The EPRMS is based on a heavily customized version of care2x called Helcare to support the unique challenges of hospitals in Uganda.  ...  We have deployed an Electronic Patient Record Management System (EPRMS) in a total of 15 hospital facilities in Uganda albeit with varying levels of success.  ...  Through the Uganda National eHealth Technology framework [13] over 50 e-health related initiatives were reported by the Ugandan Ministry of Health.  ... 
doi:10.1007/978-3-319-31307-8_3 fatcat:6a4metlbzrcm7lhjymik3hyele

Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions

Noreen L Watson, Kristin E Mull, Jaimee L Heffner, Jennifer B McClure, Jonathan B Bricker
2018 Journal of Medical Internet Research  
Objective: To address this need for empirical guidance regarding recruitment and outcome data retention planning, we aim to describe the methods and lessons learned from the recruitment and retention procedures  ...  Moreover, publications from these trials rarely provide detailed information on the methods used for recruitment and retention or discuss implications of the methods for future studies.  ...  NLW's work on the project was supported by a grant from NIDA (F32 DA041100-02).  ... 
doi:10.2196/10351 pmid:30143479 fatcat:mtmzpufdfndaxari4vuhequgc4

Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology

Nicholas Ekow Thomford, Christian Domilongo Bope, Francis Edem Agamah, Kevin Dzobo, Richmond Owusu Ateko, Emile Chimusa, Gaston Kuzamunu Mazandu, Simon Badibanga Ntumba, Collet Dandara, Ambroise Wonkam
2019 Omics  
AI predates to the mid-20th century, but the current wave of AI builds in part on machine learning (ML), big data, and algorithms that can learn from massive amounts of online user data from patients or  ...  Artificial intelligence (AI) is one of the key drivers of digital health.  ...  Funding Information N.E.T. is supported by the Faculty of Health Sciences, University of Cape Town through the Harry Crossley Foundation. F.E.A. is funded by DELGEME (grant 107740/Z/15/Z).  ... 
doi:10.1089/omi.2019.0142 pmid:31592719 fatcat:wxh26bv6crh4dc4ufkhmrsx3jq

Lessons learned from Integrated Management Program Advancing Community Treatment of Atrial Fibrillation (IMPACT-AF): a pragmatic clinical trial of computerized decision support in primary care

Joanna M. Nemis-White, Laura M. Hamilton, Sarah Shaw, James H. MacKillop, Ratika Parkash, Shurjeel H. Choudhri, Antonio Ciaccia, Feng Xie, Lehana Thabane, Jafna L. Cox, for the IMPACT-AF Investigators
2021 Trials  
Methods Key study challenges including CDS development and implementation, recruitment, and data integration documented over the trial duration are presented as lessons learned.  ...  Our experience found practical issues to address for such applications to succeed. Feasibility testing to assess the utility of any healthcare CDS prior to implementation is recommended.  ...  Acknowledgements The authors wish to acknowledge the participation and support of the primary care providers, their staff and patients, the study office team, Dalhousie University Faculty of Computer Science  ... 
doi:10.1186/s13063-021-05488-y pmid:34380542 pmcid:PMC8359062 fatcat:ue3zw7gf5vdsviyf73qrjwgagy

Adapting technology-based HIV prevention and care interventions for youth: lessons learned across five U.S. Adolescent Trials Network studies

Danielle Giovenco, Kathryn E. Muessig, Casey Horvitz, Katie B. Biello, Albert Y. Liu, Keith J. Horvath, Jesse M. Golinkoff, Cathy J. Reback, Lisa Hightow-Weidman
2021 mHealth  
risk reduction and PrEP, one PrEP adherence app, and one mobile-optimized website for increasing viral suppression, with the aim of informing best practices for technology-based intervention development  ...  Each study presented prototypes of adapted mHealth interventions to samples of their target end-user population for use and/or evaluation.  ...  noncommercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication  ... 
doi:10.21037/mhealth-20-43 pmid:33898590 pmcid:PMC8063021 fatcat:6rap76yf7ncxlck6gr6vno5sui

Opportunities and challenges of delivering digital clinical trials: lessons learned from a randomised controlled trial of an online behavioural intervention for children and young people

Charlotte L. Hall, Charlotte Sanderson, Beverly J. Brown, Per Andrén, Sophie Bennett, Liam R. Chamberlain, E. Bethan Davies, Kareem Khan, Natalie Kouzoupi, David Mataix-Cols, Caitlin McKenzie, Tara Murphy (+3 others)
2020 Trials  
Method We extracted anonymised data on recruitment, retention and requests for more funding and time from trials funded by the largest funder of health technology trials in the UK (the National Institute  ...  Many of the trial procedures, including recruitment, the intervention and data collection, were undertaken online. Results Data were extracted on 51 trials conducted between 2010 and 2020.  ...  We also thank members of the ORBIT Data Monitoring and Ethics Committee Prof Stephen Scott (Chair), Dr. Uttom Chowdhury and Prof Richard Emsley.  ... 
doi:10.1186/s13063-020-04902-1 pmid:33298127 pmcid:PMC7724811 fatcat:c4nrfo2cujhf5kn24j62vdl4wa

Personal control of privacy and data: Estonian experience

Jaan Priisalu, Rain Ottis
2017 Health and Technology  
Another important lesson is that the Citizen needs to be confident in the government's ability to keep their data safein terms of confidentiality, integrity and availability -establishing a strong link  ...  The national communications and transactions platform allows for twenty-first century governance by allowing for transparency, e-safety (inter alia privacy), e-security, entrepreneurship and, among other  ...  , and lessons learned.  ... 
doi:10.1007/s12553-017-0195-1 pmid:29308346 pmcid:PMC5741780 fatcat:7ufxcm4o2vhbrkdjtr6d6wjpg4

Data Governance and Data Sharing Agreements for Community-Wide Health Information Exchange: Lessons from the Beacon Communities

Claudia Allen, Terrisca R. Des Jardins, Arvela Heider, Kristin A. Lyman, Lee McWilliams, Alison L. Rein, Abigail A. Schachter, Ranjit Singh, Barbara Sorondo, Joan Topper, Scott A. Turske
2014 eGEMs  
This paper shares lessons learned based on the experiences of six federally funded communities participating in the Beacon Community Cooperative Agreement Program, and offers guidance for navigating data  ...  The authors would also like to thank Melissa Goldstein of George Washington University for her early review and feedback on the manuscript.  ...  Acknowledgements Support for the development of this paper was provided by the Commonwealth Fund and by the Office of National Coordinator for Health Information Technology Beacon Community Cooperative  ... 
doi:10.13063/2327-9214.1057 pmid:25848589 pmcid:PMC4371395 fatcat:q2k6hj67dfgo3ksggdnh5krxl4

Person-centric integrated eHealth records: Reliable, secure, confidential and safe

Janette Bennett
2011 Telecommunications Journal of Australia  
This article discusses two of the many eHealth implementations done by BT: the English National Programme for IT (NPfIT) and Hungary IKIR.  ...  There is no 'one size fits all' solution, but experience and lessons learnt are always reusable, especially in the areas of reliability, security, confidentiality and safety of information.  ...  Access Control Framework: Audit By far the largest amount of information held in the Spine is the audit log.  ... 
doi:10.7790/tja.v61i3.250 fatcat:svk2k3ibrnagjjce7fuutk4h2a

Mobile App for Treatment of Stress Urinary Incontinence: A Cost-Effectiveness Analysis

Malin Sjöström, Lars Lindholm, Eva Samuelsson
2017 Journal of Medical Internet Research  
In a 2015 publication, NeRN reports on lessons learned from a novel approach to monitoring eHealth through the evaluation of national data logs as performance-based indicators for the use of eHealth (  ...  on the use of big data by private companies.  ...  The WHO global surveys on eHealth and related publications are available online at the Global Observatory for eHealth webpage. 9 Interactive results for the 2015 WHO global survey on eHealth from the  ... 
doi:10.2196/jmir.7383 pmid:28483745 pmcid:PMC5440735 fatcat:jvmpj2crcjakha566immdwqjte

"Real-World" Practical Evaluation Strategies: A Review of Telehealth Evaluation

Stephen Agboola, Timothy M Hale, Caitlin Masters, Joseph Kvedar, Kamal Jethwani
2014 JMIR Research Protocols  
WHO recommends that Member States establish a national-level body for eHealth, supported by the ministry of health, as an instrument for implementing the WHA eHealth resolution.  ...  and guidance on best practices, policies, and standards in eHealth.  ... 
doi:10.2196/resprot.3459 pmid:25524892 pmcid:PMC4275475 fatcat:3qy3ceoffrhmrbcpxorzy2gv4a

Barriers and facilitators when implementing online monitoring and management as a substitution for traditional outpatient care in children with asthma (Preprint)

Lara S. van den Wijngaart, Wytske W Geense, Annemie LM Boehmer, Marianne L Brouwer, Cindy AC Hugen, Bart E van Ewijk, Marie-Jose Koenen, Anneke M Landstra, Laetitia EM Niers, Lonneke van Onzenoort, Mark D Ottink, Eleonora RVM Rikkers-Mutsearts (+4 others)
2017 Journal of Medical Internet Research  
Despite their potential benefits, many electronic health (eHealth) innovations evaluated in major studies fail to integrate into organizational routines, and the implementation of these innovations remains  ...  This implementation study was funded by ZonMw (Project No. 430000012). The funders had no role in the design of the studies, data collection, analysis, or reporting.  ...  this eHealth innovation in daily practice.  ... 
doi:10.2196/jmir.9245 fatcat:hoxqvbpadjdjfiltqp2pigqwdu

Special Topic Interoperability and EHR: Combining openEHR, SNOMED, IHE, and Continua as approaches to interoperability on national eHealth

Dalibor Stanimirović, Mate Beštek
2017 Applied Clinical Informatics  
Special Topic Interoperability and EHR: Combining openEHR, SNOMED, IHE, and Continua as approaches to interoperability on national eHealth.  ...  The research method used is both exploratory and deductive in nature.  ...  This includes the lessons learned , recognition and identification of the major obstacles, and elaboration of the strategy used to tackle the emerging challenges.  ... 
doi:10.4338/aci-2017-01-ra-0011 pmid:28837211 pmcid:PMC6220683 fatcat:nitb24dpnbdcljrxjnyaz64tu4

Information Technology Data Standards in Cardiology What, Why, and How Come

H Vernon Anderson
2016 US Cardiology Review  
In cardiology, national professional societies led by the American College of Cardiology are developing data standards along with necessary technical specifications that will help achieve the desired goal  ...  Data and data elements are the building blocks of what we call information.  ...  Framework, encryption, risk management, monitoring and security testing implementation guides for varying levels of audiences. 2021-2024 A learning health system enabled by nationwide interoperability  ... 
doi:10.15420/usc.2016.10.1.43 fatcat:dm2g44bw35bzzbu7pvj5hbd674

Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare [article]

Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu
2016 arXiv   pre-print
We address the trend towards continuous healthcare where health is monitored by wearable and stationary devices; a related development is that patients increasingly assume responsibility for their own  ...  We provide an overview of the recent trends towards digitalization and large scale data analytics in healthcare.  ...  ACKNOWLEDGMENT Volker Tresp acknowledges support by the German Federal Ministry for Economic Affairs and Energy, technology program "Smart Data" (grant 01MT14001).  ... 
arXiv:1606.08075v3 fatcat:aenoicczojfvjfzktbuhklqeiy
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