132 related articles for article (PubMed ID: 37060922)
1. Development and Internal Validation of a Prediction Model for Falls Using Electronic Health Records in a Hospital Setting.
Dormosh N; Damoiseaux-Volman BA; van der Velde N; Medlock S; Romijn JA; Abu-Hanna A
J Am Med Dir Assoc; 2023 Jul; 24(7):964-970.e5. PubMed ID: 37060922
[TBL] [Abstract][Full Text] [Related]
2. External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care.
Dormosh N; Heymans MW; van der Velde N; Hugtenburg J; Maarsingh O; Slottje P; Abu-Hanna A; Schut MC
J Am Med Dir Assoc; 2022 Oct; 23(10):1691-1697.e3. PubMed ID: 35963283
[TBL] [Abstract][Full Text] [Related]
3. Development and Internal Validation of a Risk Prediction Model for Falls Among Older People Using Primary Care Electronic Health Records.
Dormosh N; Schut MC; Heymans MW; van der Velde N; Abu-Hanna A
J Gerontol A Biol Sci Med Sci; 2022 Jul; 77(7):1438-1445. PubMed ID: 34637510
[TBL] [Abstract][Full Text] [Related]
4. Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data.
Cho I; Boo EH; Chung E; Bates DW; Dykes P
J Med Internet Res; 2019 Feb; 21(2):e11505. PubMed ID: 30777849
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of an inpatient fall risk screening tool to identify the most critical fall risk factors in inpatients.
Hou WH; Kang CM; Ho MH; Kuo JM; Chen HL; Chang WY
J Clin Nurs; 2017 Mar; 26(5-6):698-706. PubMed ID: 27533486
[TBL] [Abstract][Full Text] [Related]
6. Using the Hendrich II Inpatient Fall Risk Screen to Predict Outpatient Falls After Emergency Department Visits.
Patterson BW; Repplinger MD; Pulia MS; Batt RJ; Svenson JE; Trinh A; Mendonça EA; Smith MA; Hamedani AG; Shah MN
J Am Geriatr Soc; 2018 Apr; 66(4):760-765. PubMed ID: 29509312
[TBL] [Abstract][Full Text] [Related]
7. Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach.
Lindberg DS; Prosperi M; Bjarnadottir RI; Thomas J; Crane M; Chen Z; Shear K; Solberg LM; Snigurska UA; Wu Y; Xia Y; Lucero RJ
Int J Med Inform; 2020 Nov; 143():104272. PubMed ID: 32980667
[TBL] [Abstract][Full Text] [Related]
8. Predicting future falls in older people using natural language processing of general practitioners' clinical notes.
Dormosh N; Schut MC; Heymans MW; Maarsingh O; Bouman J; van der Velde N; Abu-Hanna A
Age Ageing; 2023 Apr; 52(4):. PubMed ID: 37014000
[TBL] [Abstract][Full Text] [Related]
9. Validation of the Hendrich II Fall Risk Model: The imperative to reduce modifiable risk factors.
Hendrich AL; Bufalino A; Groves C
Appl Nurs Res; 2020 Jun; 53():151243. PubMed ID: 32451003
[TBL] [Abstract][Full Text] [Related]
10. A data-driven and practice-based approach to identify risk factors associated with hospital-acquired falls: Applying manual and semi- and fully-automated methods.
Lucero RJ; Lindberg DS; Fehlberg EA; Bjarnadottir RI; Li Y; Cimiotti JP; Crane M; Prosperi M
Int J Med Inform; 2019 Feb; 122():63-69. PubMed ID: 30623785
[TBL] [Abstract][Full Text] [Related]
11. Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study.
Dolci E; Schärer B; Grossmann N; Musy SN; Zúñiga F; Bachnick S; Simon M
J Med Internet Res; 2020 Sep; 22(9):e19516. PubMed ID: 32955445
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records.
Menger V; Spruit M; van Est R; Nap E; Scheepers F
JAMA Netw Open; 2019 Jul; 2(7):e196709. PubMed ID: 31268542
[TBL] [Abstract][Full Text] [Related]
13. A dynamic risk model for inpatient falls.
Choi Y; Staley B; Henriksen C; Xu D; Lipori G; Brumback B; Winterstein AG
Am J Health Syst Pharm; 2018 Sep; 75(17):1293-1303. PubMed ID: 30037814
[TBL] [Abstract][Full Text] [Related]
14. Fall Ascertainment and Development of a Risk Prediction Model Using Electronic Medical Records.
Oshiro CES; Frankland TB; Rosales AG; Perrin NA; Bell CL; Lo SHY; Trinacty CM
J Am Geriatr Soc; 2019 Jul; 67(7):1417-1422. PubMed ID: 30875089
[TBL] [Abstract][Full Text] [Related]
15. The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review.
Seaman K; Ludlow K; Wabe N; Dodds L; Siette J; Nguyen A; Jorgensen M; Lord SR; Close JCT; O'Toole L; Lin C; Eymael A; Westbrook J
BMC Geriatr; 2022 Mar; 22(1):210. PubMed ID: 35291948
[TBL] [Abstract][Full Text] [Related]
16. Validity of the Morse Fall Scale implemented in an electronic medical record system.
Baek S; Piao J; Jin Y; Lee SM
J Clin Nurs; 2014 Sep; 23(17-18):2434-40. PubMed ID: 24112535
[TBL] [Abstract][Full Text] [Related]
17. Combining the AM-PAC "6-Clicks" and the Morse Fall Scale to Predict Individuals at Risk for Falls in an Inpatient Rehabilitation Hospital.
Lohse KR; Dummer DR; Hayes HA; Carson RJ; Marcus RL
Arch Phys Med Rehabil; 2021 Dec; 102(12):2309-2315. PubMed ID: 34407447
[TBL] [Abstract][Full Text] [Related]
18. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
[TBL] [Abstract][Full Text] [Related]
19. External validation of the Johns Hopkins Fall Risk Assessment Tool in older Dutch hospitalized patients.
Damoiseaux-Volman BA; van Schoor NM; Medlock S; Romijn JA; van der Velde N; Abu-Hanna A
Eur Geriatr Med; 2023 Feb; 14(1):69-77. PubMed ID: 36422821
[TBL] [Abstract][Full Text] [Related]
20. A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study.
Simonov M; Ugwuowo U; Moreira E; Yamamoto Y; Biswas A; Martin M; Testani J; Wilson FP
PLoS Med; 2019 Jul; 16(7):e1002861. PubMed ID: 31306408
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]