HBO Kennisbank

14 Resultaten

Sorteer op:

21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework

M. van Velzen; H.I. de Graaf-Waar; T. Ubert; R.F. van der Willigen; L. Muilwijk; M.A. Schmitt; M.C. Scheper; N.L.U. van Meeteren

In this paper, we present a framework for developing a Learning Health System (LHS) to provide means to a computerized clinical decision support system for allied healthcare and/or nursing professionals. LHSs are well suited to transform healthcare systems in a mission-oriented approach, and is being …

2023-12-05GezondheidArtikel

Process Evaluation of a Wireless Wearable Continuous Vital Signs Monitoring Intervention in 2 General Hospital Wards: Mixed Methods Study

Jobbe PL. Leenen; Henriëtte J M Rasing; Cor J Kalkman; Lisette Schoonhoven; Gijs A. Patijn

Isala WetenschapsAvond 2023 publieksprijs

Background: Continuous monitoring of vital signs (CMVS) using wearable wireless sensors is increasingly available to patients in general wards and can improve outcomes and reduce nurse workload. To assess the potential impact of such systems, successful implementation is important. We developed a CMVS …

2023-05-04ICT & Media; …Artikel

Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

Hoogeboom, T.J. (Thomas) (Phd); Lankveld, W. (Wim) van (Phd); Knoop, J (Jesper) (Phd); Hoppenbrouwers, S. (Stijn) (Phd); Heymans, M.W. (M.) (Phd); Overmeeren, E. (Elon) van (Extern); Veenhof, C. (Cindy) (Lector); Sappelli, M. (Maja) (Onderzoeker); Wees, P.J. (Philip) van der (Professor); Soer, (Remko) (Associate Lector); Beijer, ( Lilian) (Extern); Geerdink, (Frank) (Onderzoeker); Vissers, (Kris) (Extern); Staal, (Bart) (Extern); Mittendorff, ( Kariene ) (Associate Lector); Holkenborg, (Kris)

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

2022-09-01AlgemeenArtikel

Effectofapre-operativeweb-baseddietaryselfmanagement interventiononpatientsatisfaction,body weightandqualityof lifeofesophagealcancerpatients:A prospective,observationalstudy

Daniëlle Adriaans; Sandra Beijer; Fanny Heesakkers; Lisette de Craen-Kat; Nicole Horevoorts; Angelique Dierick-van Daele (Lector); Joep Teijink; Hanneke van Laarhoven; Lonneke van de Poll-Franse; Grard Nieuwenhuijzen

Summary Purpose The purpose of this study was to investigate the adoption and actual use of a digital dietary monitoring system (DDMS) and its impact on patient satisfaction with the provided hospital care, body weight changes and health-related quality of life (HRQoL) in patients with potentially curable …

2022-05-09GezondheidArtikel

Factors influencing family involvement in treatment decision-making for older patients with cancer

Dijkman, Bea (Family Care); Luttik, Marie Louise (Family Care); van der Wal-Huisman, Hanneke; Paans, Wolter (Nursing Diagnostics); van Leeuwen, Barbara

Many older patients with cancer depend on their family members for care and support and involve their family members in treatment decision-making in different stages of the cancer trajectory. Although family involvement is advocated in person-centered care, little is known about family involvement in …

2022-05-01AlgemeenArtikel

Improving Appropriate Prescribing For Geriatric Patients Using a Clinical Decision Support System

Floor van den Hanenberg; Valentina D Poetsema; Carolina JPW Keijsers; Jeroen JMA Hendrikx; Jos van Campen; Michiel C Meulendijk; Jelle Tichelaar (Lector); Michiel A. van Agtmael

ABSTRACT Purpose: Polypharmacy is a known risk factor for potentially inappropriate prescribing. Recently there is an increasing interest in clinical decision support systems (CDSS) to improve prescribing. The objective of this study was to evaluate the impact of a CDSS, with the START-STOPP criteria …

2022-04-02GezondheidArtikel

Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

J. Knoop; Wim van Lankveld; Lilian Beijer; F.J.B Geerdink; M.W. Heymans; T.J. Hoogeboom; Stijn Hoppenbrouwers; E. van Overmeeren; R Soer; C. Veenhof; K.C.P Vissers; P. J. van der Wees; Maya Sappelli; Bart Staal

2022AlgemeenArtikel

ETHICAL CONSIDERATIONS OF USING MACHINE LEARNING FOR DECISION SUPPORT IN OCCUPATIONAL PHYSICAL THERAPY:

Six Dijkstra, WMC (Marianne) (Lectoratemember); Siebrand, E (Egbert) (Lectoratemember); Dorrestijn, S (Steven) (Lector); Salomons, E (Etto) (Lectoratemember); Reneman, MF (Michiel) (Professor); Oosterveld, FGJ (Frits) (Lector); Soer, R (Remko) (Associatelector); Gross, DP (Douglas) (Professor); Bieleman, HJ (Hendrik) (Associatelector)

Abstract for World Physiotherapy Congress 2021Title Ethical Considerations of Using Machine Learning for Decision Support in Occupational Physical Therapy: a narrative literature study and ethical deliberation. Authors Marianne W. M. C. Six Dijkstra1,4,7 · Egbert Siebrand2 · Steven Dorrestijn2 · Etto …

2021-04-01AlgemeenConferentiebijdrage

Validity of the work assessment triage tool for selecting rehabilitation interventions for workers’ compensation claimants with musculoskeletal conditions

Gross, Douglas P; Steenstra, Ivan A; Shaw, William; Yousefi, Parnian; Bellinger, Colin; Zaiane, Osmar

Purpose The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed using machine learning to help select interventions for patients with musculoskeletal disorders. The WATT categorizes patients based on individual characteristics according to likelihood of successful return …

2020AlgemeenArtikel

Neuroscientific tools in the cockpit:towards a meaningful decision support system for fatigue risk management

Papanikou, Maria C. (Lectoraat Aviation Engineering); Frantzidis, Christos A.; Nikolaidou, Anna; Plomariti, Christina; Karagianni, Maria; Nigdelis, Vasilis; Karkala, Aliki; Nday, Christiane; Ntakakis, Giorgos; Krachtis, Akis; Bamidis, Panagiotis D.; Kourtidou-Papadeli, Chrysoula

Fatigued pilots are prone to experience cognitive disorders that degrade their performance and adherence to high safety standards. In light of the current challenging context in aviation, we report the early phase of our ongoing project on the re-evaluation of human factors research for flight crew. …

2020AlgemeenArtikel

1 2

Over HBO Kennisbank