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Enregistrement W120798794

Information needs of residents during inpatient and outpatient rotations: identifying effective personal digital assistant applications.

2003· article· en· W120798794 sur OpenAlex

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Notice bibliographique

RevuePubMed · 2003
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueHealthcare Systems and Technology
Établissements canadiensCentre for Advancing Health Outcomes
Organismes subventionnairesnon disponible
Mots-clésMedicineBitTorrent trackerMedical educationFamily medicineComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Last year, we reported (2002 AMIA Proceedings, p 971) on how medical school residents report on their use of personal digital assistants (PDA) or hand held devices. We first surveyed 88 residents in six residency programs representing both generalist and specialist practices (Family Medicine, Internal Medicine, Neurology, Pediatrics, Radiology, and Surgery. Following our survey, we contacted some of these same residents for follow-up advantages and disadvantages of specific software applications, and what information residents would like to have on their PDAs. Our survey and interview results included several specific advantages and disadvantages of PDA usage by residents. Advantages included: (1) many residents readily adapted the personal organizers (calendars. address books, to-do lists) to help keep track of their clinical tasks, and keeping in touch with patients, (2) commercial medical references (such as ePocrates) are used most by the surveyed residents to answer immediate medical questions. Perceived drawbacks include: (1) calculators and patient trackers that were not clearly able to be tailored to residents' needs, e.g., to limit and modify types of calculations to just those actually used, (2) physical size (both too small a display size, and too bulky overall), and (3) several residents mentioned a concern of becoming too dependent on one source of information, a source that was viewed as being too easy to lose or break. Three broad patterns emerged. First, residents in all seven of our surveyed practices use PDAs and most surveyed residents use them on a daily basis; we conclude that PDAs are being widely used across the spectrum of generalist to specialty practices, regardless of whether a residency program specifically encourages PDA usage. Second, security and HIPAA compliance issues need to be addressed, in part by resident education about archiving PDA files. Lastly, PDAs may become even more widely used if clinical data specific to an individual resident can easily and securely be maintained on PDAs. Design of Current Studies Our current study builds on the above perceived needs: we will follow residents during portions of a clinical day. Preliminary observations in three clinical areas (Medical Intensive Care Unit (MICU), General Medicine Outpatient, and Family Medicine Outpatient) confirm the conclusions of our previous study. PDAs are used for: (1) medical references (e.g., five minute clinical consult, Infotriever) (2) pharmaceutical information (such as ePocrates), and (3) professional organization (calendar, address book). Our intention in this new study is to identify the overall flow of information and how PDAs might improve the information flow in clinical settings. We choose to observe residents in both inpatient and outpatient clinics. We anticipate that PDAs will have different uses in these two settings; preliminary observations in one outpatient clinic (Family Medicine) suggests that PDAs are used during the doctor - patient interaction, specifically to suggest the importance of smoking cessation. Preliminary observations in an inpatient clinical setting (the MICU) suggest that PDAs are primarily used outside of patient rooms, e.g. to make medical calculations and to obtain diagnostic procedures. We plan to observe residents during various parts of their days in order to develop a detailed understanding of what information sources (e.g., consultations, computer reports, paper charts) are available at different times and which sources are frequently used. This information will help us develop a pocket-sized, paper-based checksheet that the residents carry with them. The checksheet will help us identify which information sources are used, at various times and frequencies. Interviews with the residents using these checksheets should provide additional details of how utility of the resource, disadvantages of the resource, etc. Specific Goals The goals of our current study include: (1) direct observations of residents PDA usage to determine how this compares to our previous results (above), ts (above), (2) determine if PDA usage varies between outpatient and inpatient clinics, (3) determine how different information sources are used in these clinics. Our long range goal includes considering how PDAs might improve the information gathering processes by identifying useful PDA applications, along with user interfaces residents find intuitive.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,534
Score d'incertitude au seuil0,365

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,207
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle