Orientation in Perpetuity: An Online Clinical Decision Support System for Surgical Residents

Papandria, Dominic; Fisher, Jeremy G.; Kenney, Brian D.; Dykes, Michael; Nelson, Abigail A.; Diefenbach, Karen A.

doi:10.1016/j.jss.2019.05.063

Cited by 5 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, the updating speed and the abundance of information sources of the knowledge base can affect the heterogeneity of conclusions between the CDSS and multi-disciplinary team (MDT) 32 . Fourth, the CDSS can guide inexperienced doctors and interns 33 . However, the CDSS can only be regarded as a member of the MDT team as shown in Figure 2 .…”

Section: Application Characteristics Of the Cdssmentioning

confidence: 99%

Artificial intelligence in clinical decision support systems for oncology

Wang¹,

Chen²,

Zhang³

et al. 2023

Int. J. Med. Sci.

View full text Add to dashboard Cite

Artificial intelligence (AI) has been widely used in various medical fields, such as image diagnosis, pathological classification, selection of treatment schemes, and prognosis analysis. Especially in the image-aided diagnosis of tumors, the cooperation of human-computer interactions has become mature. However, the ethics of the application of AI as an emerging technology in clinical decision-making have not been fully supported, so the clinical decision support system (CDSS) based on AI technology has not fully realized human-computer interactions in clinical practice as the image-aided diagnosis system. The CDSS was currently used and promoted worldwide including Watson for Oncology, Chinese society of clinical oncology-artificial intelligence (CSCO AI) and so on. This paper summarized the applications and clarified the principle of AI in CDSS, analyzed the difficulties of AI in oncology decisions, and provided a reference scheme for the application of AI in oncology decisions in the future.

show abstract

Section: Application Characteristics Of the Cdssmentioning

confidence: 99%

Artificial intelligence in clinical decision support systems for oncology

Wang¹,

Chen²,

Zhang³

et al. 2023

Int. J. Med. Sci.

View full text Add to dashboard Cite

show abstract

“…Increasingly it is being recognized in the surgical community that a high degree of variability in teaching, hand‐offs, and patient care may negatively affect the care of the patient by the surgical trainee, and has been cited as an adverse contributor to education 1 . To date, standardization practices have been implemented and studied with regard to patient care hand‐offs, assessment of competency, and teaching skills of attending doctors on the wards 2,3 .…”

Section: Figurementioning

confidence: 99%

Making standardization in microsurgical education palatable

Lakhiani

Cheng

2020

Journal of Surgical Oncology

View full text Add to dashboard Cite

“…POCMIS refer to technological and informational tools that assist providers with clinical decision-making [13]. Studies investigating POCMIS across medical specialties show high use of and satisfaction with POCMIS in healthcare settings globally [14] along with improvement in self-directed e-learning for CME [15].…”

Section: Introductionmentioning

confidence: 99%

Implementing point-of-care medical information systems into trauma and general surgeon practice in a middle-income country: a qualitative study utilizing the Consolidated Framework for Implementation Research

Wilson

Noble

Ordoñez

et al. 2023

Implement Sci Commun

View full text Add to dashboard Cite

Background Point-of-care medical information systems (POCMIS) can provide an efficient and effective means of strengthening health systems globally through their encouragement of continued medical education. Using the Consolidated Framework for Implementation Research (CFIR) as a guide, this research provides suggestions for improved implementation of POCMIS in low- and middle-income countries informed by an intervention implemented across public and military hospitals in Lima, Peru. Methods Analysis is based on qualitative interviews conducted with 12 Peruvian surgeons across eight public hospitals and one military hospital who received an intervention that provided free access to UpToDate and introduced Google Translate. The post-intervention interviews were transcribed, translated, and analyzed for themes overlapping with CFIR constructs to expose barriers to implementation and suggestions for improved implementation of future interventions. Results Barriers included a lack of seniority buy-in and engaged leadership, an overabundance of personal preferences for multiple POCMIS, and a culture of assumption that inhibited open communication regarding access to and use of POCMIS. Suggestions for improved implementation focused on the adaptation of the intervention. Namely, surgeons discussed regionally-specific adaptations as well as adaptations specific to their surgical specialty including visual, rather than written, representation of the information available via POCMIS. Conclusions Results indicate necessary adaptations for implementing interventions including POCMIS in LMICs, mimicking much of the implementation science literature on intervention adaptation. In addition to explicit suggestions provided by surgeons, we also suggest actionable steps to adapt to barriers identified in our data. Rapid assessment procedures (RAP) are one established methodological technique useful for assessing organization culture prior to implementation, allowing for necessary cultural adaptations. Dynamic adaption process (DAP) is another useful and established method that breaks implementation into four phases allowing for adaptations based on the initial assessment of the intervention site.

show abstract

Orientation in Perpetuity: An Online Clinical Decision Support System for Surgical Residents

Cited by 5 publications

References 27 publications

Artificial intelligence in clinical decision support systems for oncology

Artificial intelligence in clinical decision support systems for oncology

Making standardization in microsurgical education palatable

Implementing point-of-care medical information systems into trauma and general surgeon practice in a middle-income country: a qualitative study utilizing the Consolidated Framework for Implementation Research

Contact Info

Product

Resources

About