2016
DOI: 10.1177/1555343416630875
|View full text |Cite
|
Sign up to set email alerts
|

Designing Colorectal Cancer Screening Decision Support

Abstract: Adoption of clinical decision support has been limited. Important barriers include an emphasis on algorithmic approaches to decision support that do not align well with clinical work flow and human decision strategies, and the expense and challenge of developing, implementing, and refining decision support features in existing electronic health records (EHRs). We applied decision-centered design to create a modular software application to support physicians in managing and tracking colorectal cancer screening.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
17
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 13 publications
(17 citation statements)
references
References 47 publications
0
17
0
Order By: Relevance
“…Although managing and tracking colorectal cancer screening appears to be a simple problem readily resolved with rule-based reminders, screening rates remain well short of the 80% target established by The National Colorectal Cancer Roundtable [ 44 ]. Militello, et al [ 45 ] developed a colorectal Screening and Surveillance App that was designed to work with the US Veterans Health Administration’s Computerized Patient Record System. For their development, they used Decision-Centered Design to identify the challenging decisions faced by clinicians in managing and tracking colorectal cancer screening and then design a cognitive support system for that work.…”
Section: Facing the Challengementioning
confidence: 99%
See 2 more Smart Citations
“…Although managing and tracking colorectal cancer screening appears to be a simple problem readily resolved with rule-based reminders, screening rates remain well short of the 80% target established by The National Colorectal Cancer Roundtable [ 44 ]. Militello, et al [ 45 ] developed a colorectal Screening and Surveillance App that was designed to work with the US Veterans Health Administration’s Computerized Patient Record System. For their development, they used Decision-Centered Design to identify the challenging decisions faced by clinicians in managing and tracking colorectal cancer screening and then design a cognitive support system for that work.…”
Section: Facing the Challengementioning
confidence: 99%
“…Militello, et al [ 45 ] configured their colorectal Screening and Surveillance App to support these three macro-cognitive processes. The App encouraged a mix of skill-, rule-, and knowledge-based processing by use of an information representation that helped the primary-care provider navigate skillfully to key information that would support knowledge-based processing in service of complex macro-cognitive processes such as sensemaking, problem detection, and collaborative decision making.…”
Section: Facing the Challengementioning
confidence: 99%
See 1 more Smart Citation
“…One strategy for increasing screening rates among patients is to improve the accessibility of CRC related information for their PCCs. We designed and developed a modular decision support application, the Screening and Surveillance App [19], to help PCCs track and manage their patients' CRC screening regardless of whether the patient is in routine screening mode, or in surveillance mode based on prior findings.…”
Section: The Screening and Surveillance App: A Modular Approachmentioning
confidence: 99%
“…The need for a conversation between patient and clinician about CRC screening is often triggered by a clinical reminder or alert in the EHR; however, it is often difficult to find the data needed to make a patient-centered CRC testing recommendation and have a meaningful conversation with the patient [19]. The Screening and Surveillance App is designed to ensure that the primary care clinician has key information at-a-glance when it is most needed.…”
Section: The Screening and Surveillance App: A Modular Approachmentioning
confidence: 99%