These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
515 related articles for article (PubMed ID: 31327101)
1. Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring. Keim-Malpass J; Clark MT; Lake DE; Moorman JR J Clin Monit Comput; 2020 Aug; 34(4):797-804. PubMed ID: 31327101 [TBL] [Abstract][Full Text] [Related]
2. Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study. Moss TJ; Clark MT; Calland JF; Enfield KB; Voss JD; Lake DE; Moorman JR PLoS One; 2017; 12(8):e0181448. PubMed ID: 28771487 [TBL] [Abstract][Full Text] [Related]
3. Predictive Monitoring-Impact in Acute Care Cardiology Trial (PM-IMPACCT): Protocol for a Randomized Controlled Trial. Keim-Malpass J; Ratcliffe SJ; Moorman LP; Clark MT; Krahn KN; Monfredi OJ; Hamil S; Yousefvand G; Moorman JR; Bourque JM JMIR Res Protoc; 2021 Jul; 10(7):e29631. PubMed ID: 34043525 [TBL] [Abstract][Full Text] [Related]
4. Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU. Kipnis P; Turk BJ; Wulf DA; LaGuardia JC; Liu V; Churpek MM; Romero-Brufau S; Escobar GJ J Biomed Inform; 2016 Dec; 64():10-19. PubMed ID: 27658885 [TBL] [Abstract][Full Text] [Related]
5. Early recognition of acutely deteriorating patients in non-intensive care units: assessment of an innovative monitoring technology. Zimlichman E; Szyper-Kravitz M; Shinar Z; Klap T; Levkovich S; Unterman A; Rozenblum R; Rothschild JM; Amital H; Shoenfeld Y J Hosp Med; 2012 Oct; 7(8):628-33. PubMed ID: 22865462 [TBL] [Abstract][Full Text] [Related]
6. Early Deterioration Indicator: Data-driven approach to detecting deterioration in general ward. Ghosh E; Eshelman L; Yang L; Carlson E; Lord B Resuscitation; 2018 Jan; 122():99-105. PubMed ID: 29122648 [TBL] [Abstract][Full Text] [Related]
7. Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit. Ruminski CM; Clark MT; Lake DE; Kitzmiller RR; Keim-Malpass J; Robertson MP; Simons TR; Moorman JR; Calland JF J Clin Monit Comput; 2019 Aug; 33(4):703-711. PubMed ID: 30121744 [TBL] [Abstract][Full Text] [Related]
8. Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study. Briggs J; Kostakis I; Meredith P; Dall'ora C; Darbyshire J; Gerry S; Griffiths P; Hope J; Jones J; Kovacs C; Lawrence R; Prytherch D; Watkinson P; Redfern O Health Soc Care Deliv Res; 2024 Mar; 12(6):1-143. PubMed ID: 38551079 [TBL] [Abstract][Full Text] [Related]
9. Short National Early Warning Score - Developing a Modified Early Warning Score. Luís L; Nunes C Aust Crit Care; 2018 Nov; 31(6):376-381. PubMed ID: 29242109 [TBL] [Abstract][Full Text] [Related]
10. A Remote Surveillance Platform to Monitor General Care Ward Surgical Patients for Acute Physiologic Deterioration. Safavi KC; Deng H; Driscoll W; Nikolov M; Tolia K; Wiener-Kronish JP Anesth Analg; 2021 Oct; 133(4):933-939. PubMed ID: 33830955 [TBL] [Abstract][Full Text] [Related]
11. Less is more: Detecting clinical deterioration in the hospital with machine learning using only age, heart rate, and respiratory rate. Akel MA; Carey KA; Winslow CJ; Churpek MM; Edelson DP Resuscitation; 2021 Nov; 168():6-10. PubMed ID: 34437996 [TBL] [Abstract][Full Text] [Related]
12. Implementation of a novel postoperative monitoring system using automated Modified Early Warning Scores (MEWS) incorporating end-tidal capnography. Blankush JM; Freeman R; McIlvaine J; Tran T; Nassani S; Leitman IM J Clin Monit Comput; 2017 Oct; 31(5):1081-1092. PubMed ID: 27766526 [TBL] [Abstract][Full Text] [Related]
13. Feasibility of wireless continuous monitoring of vital signs without using alarms on a general surgical ward: A mixed methods study. Leenen JPL; Rasing HJM; van Dijk JD; Kalkman CJ; Schoonhoven L; Patijn GA PLoS One; 2022; 17(3):e0265435. PubMed ID: 35286354 [TBL] [Abstract][Full Text] [Related]
15. Early Detection of In-Patient Deterioration: One Prediction Model Does Not Fit All. Blackwell JN; Keim-Malpass J; Clark MT; Kowalski RL; Najjar SN; Bourque JM; Lake DE; Moorman JR Crit Care Explor; 2020 May; 2(5):e0116. PubMed ID: 32671347 [TBL] [Abstract][Full Text] [Related]
16. A risk scoring model based on vital signs and laboratory data predicting transfer to the intensive care unit of patients admitted to gastroenterology wards. Kim WY; Lee J; Lee JR; Jung YK; Kim HJ; Huh JW; Lim CM; Koh Y; Hong SB J Crit Care; 2017 Aug; 40():213-217. PubMed ID: 28445859 [TBL] [Abstract][Full Text] [Related]
17. Smoothing Effect in Vital Sign Recordings: Fact or Fiction? A Retrospective Cohort Analysis of Manual and Continuous Vital Sign Measurements to Assess Data Smoothing in Postoperative Care. Tomlinson HR; Pimentel MAF; Gerry S; Clifton DA; Tarassenko L; Watkinson PJ Anesth Analg; 2018 Oct; 127(4):960-966. PubMed ID: 30096079 [TBL] [Abstract][Full Text] [Related]
18. Wireless and continuous monitoring of vital signs in patients at the general ward. Weenk M; Koeneman M; van de Belt TH; Engelen LJLPG; van Goor H; Bredie SJH Resuscitation; 2019 Mar; 136():47-53. PubMed ID: 30685546 [TBL] [Abstract][Full Text] [Related]
19. Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients. Arnolds DE; Carey KA; Braginsky L; Holt R; Edelson DP; Scavone BM; Churpek M BMC Pregnancy Childbirth; 2022 Apr; 22(1):295. PubMed ID: 35387624 [TBL] [Abstract][Full Text] [Related]