Data Science Hospital Intro

Hospital (Healthcare Enterprise)

Purpose: To ​ (a)   supports quick ​ (b)   and ensures ​ (c)   over ​ (d)  

• improve patient care,
• decision-making,
• accurate monitoring
• time.

Hospital (Healthcare Enterprise)

Data Collected: Patient ​ (a)   medical ​ (b)   test ​ (c)   X-rays, and ​ (d)  

• personal details,
• history,
• results,
• prescriptions.

Hospital (Healthcare Enterprise) Use of Data and Information:

Doctors and intelligent systems analyse ​ (a)   to diagnose ​ (b)  

Data is stored in ​ (c)   (EHRs) for ​ (d)   across departments.

Information is shared securely between specialists, nurses, and hospitals for ​ (e)  

• test results
• diseases.
• Electronic Health Records
• fast access
• better treatment decisions.

Decisions to Make:

What patient data ​ (a)   and how to ​ (b)   (privacy and security).

Whether to use AI to assist ​ (c)  

Investment in robots, diagnostic AI, or electronic health records.

Balancing efficiency ​ (d)   care and ​ (e)  

• to collect
• protect it
• doctors or replace some tasks.
• with patient
• ethical issues.

What is one benefit of using intelligent diagnostic systems in hospitals?

• Increased patient wait times.
• Higher costs for diagnostic procedures.
• Reduced availability of medical staff.
• Improved diagnostic accuracy and speed.

Hospitals must decide how to:

• Allocate resources and manage patient care.
• Increase hospital fees for patients.
• Focus solely on administrative tasks.
• Limit patient intake to reduce costs.
• Balance patient care with the use of intelligent systems

Which is an ethical issue in intelligent hospital systems?

• Streamlined hospital staff scheduling.
• Enhanced patient satisfaction surveys.
• Increased hospital revenue generation.
• Patient privacy and data security.
• Bias in AI diagnosis

Hospitals may use AI to:

• reduce hospital staff workload
• improve patient diagnosis, optimize treatment plans, manage hospital operations, predict patient outcomes, enhance medical imaging analysis
• increase patient wait times
• limit access to medical records
• Manage patient records securely

Hospitals must decide how ​ (a)   ’ judgment with ​ (b)   While AI can detect ​ (c)   doctors must still ​ (d)   to maintain ​ (e)   and safety.

• to balance human doctors
• AI recommendations.
• illnesses quickly,
• confirm results
• patient trust

Intelligent systems in hospitals, such as AI diagnostic tools and robotic surgery, help ​ (a)   and perform precise operations. This reduces ​ (b)   time. However, ​ (c)   arise around ​ (d)   on AI, machines, bias in data, and privacy of patient records. Hospitals must ensure human oversight and strong ​ (e)   to balance efficiency with ethics.

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• doctors identify illnesses quickly
• errors and saves
• ethical concerns
• over-reliance
• data protection