Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study DOI Creative Commons
Adriane Uihlein, Lisa Beissel, Anna Hanane Ajlani

et al.

JMIR Aging, Journal Year: 2024, Volume and Issue: 7, P. e57899 - e57899

Published: Dec. 17, 2024

Abstract Background Geriatric comanagement has been shown to improve outcomes of older surgical inpatients. Furthermore, the choice discharge location, that is, continuity care, can have a fundamental impact on convalescence. These challenges and demands led SURGE-Ahead project aims develop clinical decision support system (CDSS) for geriatric in clinics including best care option, supported by artificial intelligence (AI) algorithms. Objective This qualitative study explore current patient care. Based these challenges, explores attitude interviewees toward introduction an AI-supported CDSS (AI-CDSS) surgery, focusing technical general wishes about AI-CDSS, as well ethical considerations. Methods In this study, 15 personal interviews with physicians, nurses, physiotherapists, social workers, employed departments at university hospital Southern Germany, were conducted April 2022. Interviews person, transcribed, coded 2 researchers (AU, LB) using content thematic analysis. During analysis, quotes sorted into main categories use considerations authors LB). The themes subsequently described narrative synthesis, citing key quotes. Results total, 399 extracted categorized from interviews. Most could be assigned primary code (111 quotes), most frequent subcode being medical (45 quotes). More chances AI-CDSS (37 its holistic overview (16 then limits (26 Regarding intuitive usability (15 followed mobile availability easy access (11 category aspects , critical position trust (9 subcodes respecting patient’s will individual situation (8 quotes) responsibility remaining hands humans (7 Conclusions Support regarding responsible handling AI-based recommendations, necessity approach focused usability, important topics health professionals surgery development findings, together wish preserve patient-caregiver relationship, help set focus ongoing CDSS.

Language: Английский

Postoperative use of fitness trackers for continuous monitoring of vital signs: a survey of hospitalized patients DOI Creative Commons
Philipp Helmer, Sebastian Hottenrott,

Kathrin Wienböker

et al.

Journal of Clinical Monitoring and Computing, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Wearables and Internet of Things (IoT) technologies are increasingly incorporated into healthcare, including perioperative settings. These devices offer continuous non-invasive monitoring vital signs, patient position, mobilization. Nonetheless, there is currently little information about tolerance acceptance wearables in postoperative patients. We therefore assessed opinions user experience patients who used three popular fitness trackers during their entire hospital stay. Specifically, we evaluate the Apple Watch 7, Garmin Fenix 6 Pro, Withings ScanWatch. an investigator-designed questionnaire with 11 questions to quantify regarding inpatient home monitoring. Secondarily, evaluated compliance incidence associated adverse events daily visits. Data were analyzed using descriptive statistics non-parametric tests. The majority answers (82.1%) rated positively defined as Likert-Scale Scores 4 or 5 by 33 patients, ranging between 72.7 97.0% agreement rate. Specific related data sharing for research overall received high rates (97.0 84.8%, respectively). Women reported slightly higher satisfaction device comfort, compared men (LS-Score 4.8 vs. 4.0). No significant differences found based on model length hospitalization. use wearable healthcare inpatients, paving way future implementation these healthcare. However, besides validating measurement accuracy demonstrating clinical benefits, several regulatory hurdles must be overcome before implementing routine care.

Language: Английский

Citations

0
Digitalna uključenost, povezanost i pismenost starijih osoba DOI

Ivan Pokec,

Đurđica Grabovac,

Goranka Rafaj

et al.

Paviljon, Journal Year: 2024, Volume and Issue: 1(1), P. 12 - 19

Published: Sept. 21, 2024

U današnjem digitalnom dobu tehnologija je postala ključni aspekt naših života, a tehnološkim napretkom digitalna uključenost starijih osoba postaje sve važnija. Iako su u prošlosti starije generacije možda bile skeptične prema inovacijama, trendovi se mijenjaju. Razumijevanje digitalnih alata nije prirodno stečena vještina, već zahtijeva ulaganje učenje. Edukacijski programi koji obuhvaćaju osnove interneta, e-pošte i mobilnih aplikacija mogu značajno povećati samopouzdanje korisnika korištenju tehnologije. Organizacije, zajednice državne institucije trebale bi prepoznati važnost ovih inicijativa te ponuditi tečajeve za starije. Digitalna pismenost također uključuje sposobnost sigurnog korištenja prepoznavanje lažnih vijesti zaštitu privatnosti online. Inovativnim rješenjima, poput personaliziranih edukacijskih platformi, upotrebe umjetne inteligencije personalizirano učenje, međugeneracijskih radionica virtualne stvarnosti, možemo dodatno podržati osobe njihovoj integraciji digitalni svijet. Na taj im način pomoći da ostanu aktivni, povezani neovisni svojim zajednicama.

Citations

0
Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study DOI Creative Commons
Adriane Uihlein, Lisa Beissel, Anna Hanane Ajlani

et al.

JMIR Aging, Journal Year: 2024, Volume and Issue: 7, P. e57899 - e57899

Published: Dec. 17, 2024

Abstract Background Geriatric comanagement has been shown to improve outcomes of older surgical inpatients. Furthermore, the choice discharge location, that is, continuity care, can have a fundamental impact on convalescence. These challenges and demands led SURGE-Ahead project aims develop clinical decision support system (CDSS) for geriatric in clinics including best care option, supported by artificial intelligence (AI) algorithms. Objective This qualitative study explore current patient care. Based these challenges, explores attitude interviewees toward introduction an AI-supported CDSS (AI-CDSS) surgery, focusing technical general wishes about AI-CDSS, as well ethical considerations. Methods In this study, 15 personal interviews with physicians, nurses, physiotherapists, social workers, employed departments at university hospital Southern Germany, were conducted April 2022. Interviews person, transcribed, coded 2 researchers (AU, LB) using content thematic analysis. During analysis, quotes sorted into main categories use considerations authors LB). The themes subsequently described narrative synthesis, citing key quotes. Results total, 399 extracted categorized from interviews. Most could be assigned primary code (111 quotes), most frequent subcode being medical (45 quotes). More chances AI-CDSS (37 its holistic overview (16 then limits (26 Regarding intuitive usability (15 followed mobile availability easy access (11 category aspects , critical position trust (9 subcodes respecting patient’s will individual situation (8 quotes) responsibility remaining hands humans (7 Conclusions Support regarding responsible handling AI-based recommendations, necessity approach focused usability, important topics health professionals surgery development findings, together wish preserve patient-caregiver relationship, help set focus ongoing CDSS.

Language: Английский

Citations

0