Implementation of a computer-guided consultation in the assessment of suspected obstructive sleep apnoea syndrome. Issue 3 (27th July 2020)
- Record Type:
- Journal Article
- Title:
- Implementation of a computer-guided consultation in the assessment of suspected obstructive sleep apnoea syndrome. Issue 3 (27th July 2020)
- Main Title:
- Implementation of a computer-guided consultation in the assessment of suspected obstructive sleep apnoea syndrome
- Authors:
- Chakrabarti, Biswajit
Lewis-Burke, Nadia
Pearson, Mike
Craig, Sonya
Davies, Lisa
Sheridan, Kim
England, Philip
McKnight, Eddie
Angus, Robert - Abstract:
- Background: We describe implementation of a clinical decision support system, a computer-guided consultation (CGC), in the assessment of subjects referred with suspected obstructive sleep apnoea syndrome (OSAS). Methods: Two cohorts of patients were assessed. The first 100 cases had data collected with the CGC by a specialist sleep physician (stage1). A further 100 cases were assessed by a nonspecialist using the CGC (stage 2). For each case, the diagnosis suggested by the CGC was compared with the final diagnosis made by a second specialist sleep physician blinded to the CGC diagnosis. Results: Stage 1: of 100 people evaluated, a final diagnosis of OSAS was made by both the sleep specialist and CGC in 88% of cases. In 7 of the remaining 12 cases, both agreed there was "No evidence of OSAS"; in 5 cases the CGC did not reach a final diagnosis instead prompting specialist referral. Stage 2: 100 people were evaluated; 95% were evaluable. Both CGC and the sleep specialist made a diagnosis of OSAS in 83 cases (87%), in 5 cases both agreed there was no OSAS, whereas in 7 cases the CGC prompted a specialist review due to unexplained symptoms. The CGC was concordant with the final diagnosis in 95% and 93% of cases in the two cohorts, respectively and where there was doubt, prompted for clinical review. No OSAS cases were overlooked by the CGC. Conclusion: An intelligent CGC program creates opportunities in sleep medicine management pathways to safely yet effectively utiliseBackground: We describe implementation of a clinical decision support system, a computer-guided consultation (CGC), in the assessment of subjects referred with suspected obstructive sleep apnoea syndrome (OSAS). Methods: Two cohorts of patients were assessed. The first 100 cases had data collected with the CGC by a specialist sleep physician (stage1). A further 100 cases were assessed by a nonspecialist using the CGC (stage 2). For each case, the diagnosis suggested by the CGC was compared with the final diagnosis made by a second specialist sleep physician blinded to the CGC diagnosis. Results: Stage 1: of 100 people evaluated, a final diagnosis of OSAS was made by both the sleep specialist and CGC in 88% of cases. In 7 of the remaining 12 cases, both agreed there was "No evidence of OSAS"; in 5 cases the CGC did not reach a final diagnosis instead prompting specialist referral. Stage 2: 100 people were evaluated; 95% were evaluable. Both CGC and the sleep specialist made a diagnosis of OSAS in 83 cases (87%), in 5 cases both agreed there was no OSAS, whereas in 7 cases the CGC prompted a specialist review due to unexplained symptoms. The CGC was concordant with the final diagnosis in 95% and 93% of cases in the two cohorts, respectively and where there was doubt, prompted for clinical review. No OSAS cases were overlooked by the CGC. Conclusion: An intelligent CGC program creates opportunities in sleep medicine management pathways to safely yet effectively utilise nonspecialists working under specialist supervision. A clinical decision support system may be used safely to assess subjects with suspected obstructive sleep apnoea syndrome when used by specialists and nonspecialists alike https://bit.ly/2AFPD0r … (more)
- Is Part Of:
- ERJ open research. Volume 6:Issue 3(2020)
- Journal:
- ERJ open research
- Issue:
- Volume 6:Issue 3(2020)
- Issue Display:
- Volume 6, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 6
- Issue:
- 3
- Issue Sort Value:
- 2020-0006-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07-27
- Subjects:
- Respiratory organs -- Diseases -- Periodicals
Respiration -- Periodicals
Respiration
Respiratory organs -- Diseases
Respiratory organs -- Diseases -- Treatment
Respiratory Tract Diseases
Electronic journals
Fulltext
Internet Resources
Periodicals
Periodical
616.2005 - Journal URLs:
- http://openres.ersjournals.com/ ↗
http://bibpurl.oclc.org/web/76947 ↗ - DOI:
- 10.1183/23120541.00362-2019 ↗
- Languages:
- English
- ISSNs:
- 2312-0541
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24831.xml