Kedis ku xidhan hagaha · Fudud Heerka

AI oo ku jira Qulqulka Bukaanka Cusbitaalka iyo Kediska Maareynta Sariiraha

Hubi fahamkaaga saadaasha gelitaanka iyo bixista, xarumaha taliska isbitaalka, iyo sababta saadaasha kaliya ee sariiraha bilaashka ah marka ay shaqaaluhu wax qabtaan.

Wadooyinka haga ee la xidhiidhaAI ee Socodka Bukaan-socodka iyo Maaraynta Sariiraha ee Cisbitaalka
Su'aal 1 ee 8

Qulqulka bukaanka, waa maxay macnaha 'boarding'?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Qulqulka bukaanka, waa maxay macnaha 'boarding'?
    • Checking patients in at the front desk
    • Moving patients between hospitals by ambulance
    • Admitted patients waiting in the emergency department because no inpatient bed is available
    • Discharging patients to nursing homes
  2. Waa kuwee hawsha saadaalinta ee qiyaaseysa marka bukaan-jiif kasta oo hadda jira ay u badan tahay inuu baxo?
    • Length-of-stay and discharge prediction
    • Demand forecasting
    • Sepsis risk scoring
    • Ambulance diversion planning
  3. Waa maxay sababta saadaasha awoodda aysan ula dhaqmi karin sariiraha oo dhan sidii kuwo la isku bedeli karo?
    • All beds are identical in modern hospitals
    • Beds are counted only once a year
    • Only emergency department beds matter
    • Specialized beds such as ICU or telemetry serve different patient needs
  4. Shirkaddee kula shuraakowday Isbitaalka Johns Hopkins ee xarunteeda awoodda 2016?
    • Qventus
    • GE Healthcare
    • LeanTaaS
    • Epic
  5. Marka loo eego hagaha, waa maxay fikradda khaldan ee muhiimka ah ee ku saabsan socodka bukaan-socodka AI?
    • That it can forecast admissions
    • That it uses historical data
    • That the model itself frees beds without anyone acting on its predictions
    • That it is used in command centers
  6. Why should simple baselines such as seasonal averages always be reported in hospital demand forecasting?
    • Strong weekly and seasonal patterns make them hard to beat
    • They are required by law
    • They always outperform machine learning
    • They eliminate the need for uncertainty estimates
  7. Why do managers need prediction intervals, not just a single forecast number?
    • Intervals make dashboards look more detailed
    • Intervals remove the need for staff
    • Point forecasts cannot be calculated for hospitals
    • They need to judge the range of likely demand when deciding whether to open a surge unit
  8. What is a feedback loop in patient-flow prediction?
    • Patients giving feedback on their stay
    • Acting on predictions changes the outcomes the model was trained to predict
    • A model automatically retraining every hour
    • Staff sending comments to the vendor