Challenges and opportunities in achieving secure hospital clinical mobility management: An illustrative use case
Notice bibliographique
Résumé
Objective: To qualitatively describe a use case at Yale New Haven Health System (YNHHS) illustrating the need for and effective deployment of innovative technologies to manage an enterprise-owned shared device (EOSD) management program. EOSD management provides clinicians with secure, rapid access to enterprise mobile devices and applications, maintains devices in functional, use ready condition for clinicians, and enables enterprise tracking and reduced loss of devices.Methods: Executive leaders in clinical information technology and informatics management at YNHHS were interviewed through written and telephonic communication. Qualitative data was gathered through communications between clinical and information technology executives and the implementation support team of a leading identity and access management (IAM) solutions and EOSD management solution provider. Use case information was gathered, integrated and shared with health system executives and health IT/informatics leaders to verify the description of unmet needs, solution objectives and impact/value delivered after implementation of the EOSD management solution.Results: Benefits realized from implementation of an enterprise-shared mobility management solution included establishment of a cohesive and comprehensive enterprise-owned, shared device management strategy. This included effective monitoring and dynamic management of the system’s mobile device fleet, and better IT resource management with reduced mobile device loss. The IT administrative burden was reduced. While not surveyed systematically, improved clinician experience and satisfaction were reported to IT leaders anecdotally. EOSD management solution deployment was rapid, as was the time to improved clinician mobile experience and clear demonstration of value.Conclusions: A leading US health system was able to rapidly deploy a shared mobile device management solution that enabled effective monitoring and dynamic management of the enterprise mobile device fleet, with easier and faster clinician device access and workflows, and reduced IT administrative demand and costs. While the complexities associated with increased clinical mobility in healthcare will likely continue to grow, issuing future device and mobile management challenges that require effective hospital system response, technologies have emerged that enable more effective, efficient and satisfactory organizational mobility performance.
Conservé avec la notice de tri, où il sert de preuve aux étiquettes ci-dessus.
Comment cette classification a été obtenuedéplier
Le tri à trois modèles
les 5 600 travaux triés →Les trois modèles l'ont jugé hors champ.
Health IT use case on managing shared clinical mobile devices in a hospital system.
It describes a hospital technology-management use case, not research practice.
Hospital shared mobile-device management use case is clinical IT operations, not metaresearch.
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,004 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,002 | 0,006 |
| Intégrité de la recherche | 0,005 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».