A framework for analysing learning health systems: Are we removing the most impactful barriers?
Abstract Introduction Learning health systems (LHS) are one of the major computing advances in health care. However, no prior research has systematically analysed barriers and facilitators for LHS. This paper presents an investigation into the barriers, benefits, and facilitating factors for LHS in...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-10-01
|
Series: | Learning Health Systems |
Subjects: | |
Online Access: | https://doi.org/10.1002/lrh2.10189 |
id |
doaj-135cecb4d1b949d58cc5a0fccb18d9ee |
---|---|
record_format |
Article |
spelling |
doaj-135cecb4d1b949d58cc5a0fccb18d9ee2021-05-02T10:55:00ZengWileyLearning Health Systems2379-61462019-10-0134n/an/a10.1002/lrh2.10189A framework for analysing learning health systems: Are we removing the most impactful barriers?Scott McLachlan0Kudakwashe Dube1Owen Johnson2Derek Buchanan3Henry W.W. Potts4Thomas Gallagher5Norman Fenton6Electrical Engineering and Computer Science Queen Mary University of London London UKFundamental Sciences Massey University Palmerston North New ZealandSchool of Computing University of Leeds Leeds UKFundamental Sciences Massey University Palmerston North New ZealandInstitute of Health Informatics University College London London UKMissoula College University of Montana Missoula MontanaElectrical Engineering and Computer Science Queen Mary University of London London UKAbstract Introduction Learning health systems (LHS) are one of the major computing advances in health care. However, no prior research has systematically analysed barriers and facilitators for LHS. This paper presents an investigation into the barriers, benefits, and facilitating factors for LHS in order to create a basis for their successful implementation and adoption. Methods First, the ITPOSMO‐BBF framework was developed based on the established ITPOSMO (information, technology, processes, objectives, staffing, management, and other factors) framework, extending it for analysing barriers, benefits, and facilitators. Second, the new framework was applied to LHS. Results We found that LHS shares similar barriers and facilitators with electronic health records (EHR); in particular, most facilitator effort in implementing EHR and LHS goes towards barriers categorised as human factors, even though they were seen to carry fewer benefits. Barriers whose resolution would bring significant benefits in safety, quality, and health outcomes remain. LHS envisage constant generation of new clinical knowledge and practice based on the central role of collections of EHR. Once LHS are constructed and operational, they trigger new data streams into the EHR. So LHS and EHR have a symbiotic relationship. The implementation and adoption of EHRs have proved and continues to prove challenging, and there are many lessons for LHS arising from these challenges. Conclusions Successful adoption of LHS should take account of the framework proposed in this paper, especially with respect to its focus on removing barriers that have the most impact.https://doi.org/10.1002/lrh2.10189electronic health recordslearning health systemslearning health care systems |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Scott McLachlan Kudakwashe Dube Owen Johnson Derek Buchanan Henry W.W. Potts Thomas Gallagher Norman Fenton |
spellingShingle |
Scott McLachlan Kudakwashe Dube Owen Johnson Derek Buchanan Henry W.W. Potts Thomas Gallagher Norman Fenton A framework for analysing learning health systems: Are we removing the most impactful barriers? Learning Health Systems electronic health records learning health systems learning health care systems |
author_facet |
Scott McLachlan Kudakwashe Dube Owen Johnson Derek Buchanan Henry W.W. Potts Thomas Gallagher Norman Fenton |
author_sort |
Scott McLachlan |
title |
A framework for analysing learning health systems: Are we removing the most impactful barriers? |
title_short |
A framework for analysing learning health systems: Are we removing the most impactful barriers? |
title_full |
A framework for analysing learning health systems: Are we removing the most impactful barriers? |
title_fullStr |
A framework for analysing learning health systems: Are we removing the most impactful barriers? |
title_full_unstemmed |
A framework for analysing learning health systems: Are we removing the most impactful barriers? |
title_sort |
framework for analysing learning health systems: are we removing the most impactful barriers? |
publisher |
Wiley |
series |
Learning Health Systems |
issn |
2379-6146 |
publishDate |
2019-10-01 |
description |
Abstract Introduction Learning health systems (LHS) are one of the major computing advances in health care. However, no prior research has systematically analysed barriers and facilitators for LHS. This paper presents an investigation into the barriers, benefits, and facilitating factors for LHS in order to create a basis for their successful implementation and adoption. Methods First, the ITPOSMO‐BBF framework was developed based on the established ITPOSMO (information, technology, processes, objectives, staffing, management, and other factors) framework, extending it for analysing barriers, benefits, and facilitators. Second, the new framework was applied to LHS. Results We found that LHS shares similar barriers and facilitators with electronic health records (EHR); in particular, most facilitator effort in implementing EHR and LHS goes towards barriers categorised as human factors, even though they were seen to carry fewer benefits. Barriers whose resolution would bring significant benefits in safety, quality, and health outcomes remain. LHS envisage constant generation of new clinical knowledge and practice based on the central role of collections of EHR. Once LHS are constructed and operational, they trigger new data streams into the EHR. So LHS and EHR have a symbiotic relationship. The implementation and adoption of EHRs have proved and continues to prove challenging, and there are many lessons for LHS arising from these challenges. Conclusions Successful adoption of LHS should take account of the framework proposed in this paper, especially with respect to its focus on removing barriers that have the most impact. |
topic |
electronic health records learning health systems learning health care systems |
url |
https://doi.org/10.1002/lrh2.10189 |
work_keys_str_mv |
AT scottmclachlan aframeworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT kudakwashedube aframeworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT owenjohnson aframeworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT derekbuchanan aframeworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT henrywwpotts aframeworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT thomasgallagher aframeworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT normanfenton aframeworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT scottmclachlan frameworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT kudakwashedube frameworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT owenjohnson frameworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT derekbuchanan frameworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT henrywwpotts frameworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT thomasgallagher frameworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers AT normanfenton frameworkforanalysinglearninghealthsystemsareweremovingthemostimpactfulbarriers |
_version_ |
1721492814658797568 |