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LU6: Computer Technology in Healthcare, Healthcare software/applications -…
LU6: Computer Technology in Healthcare
Healthcare
-organized provision of medical care to individuals and communities
Computer technology used to improve
patient care and safety
healthcare delivery and accessibility
relationship between healthcare providers and patients
disease and outbreak control
allowed for improving and saving lives in the world
Healthcare software/applications
AI
3. Develop new medicine and drugs
BioXcel Therapeutics
- immunooncology and neuroscience
BERG
- for rare disease and Parkinson's
Deep Genomics
- find candidate for developmental drugs
4. Better management of patient flow
Olive
- automate the hospital's repetitive tasks
Qventus
-automate
and priortize patient safety and emergency rooms
Cleveland Clinic+IBM
- perosnalize haelthcare plans on an individual basis
2. Predict and diagnose disease
PathAI
- cancer diagnosis & individualized treatments
Buoy Health
- symptom & cure checker
Enlitic
- deep learning medical tool for radiology diagnosis
1. Mine and manage medical data
Tempus
- collect & analyse medical data for research &
treatment
KenSci
- predict clinical, financial and operational risk
Proscia
- detect patterns in cancer cells
5.Assist in surgeries
Accuray
- treat cancerous tumors
Da Vinci
- assist in invasive procedures
Heartlander
- heart therapy
Microsure
- motion stabilizer system to help surgeon improve performance
6. Predict disease and outbreak control
AI company Blue Dot
- unusual pneumonia cases in Wuhan, China
HealthMap
and Metabiota models
Healthcare Dashboards
is a modern analytical tool
enables healthcare professional to access important information in real-time
Eg: Hospital KPI dashbord, Patient satisfaction dashboard, Hospital performance dashboard, Infectious disease dashboard
COVID 19 Dashboard:
Johns Hopkins Center for Systems Science and Engineering, The Wuhan Virus, Healthmap,Upcode, NextStrain
Disease Modelling & Outbreak Prediction
-using computer technology and data to predict when and where disease outbreak might occur
-variables like wind direction, velocity, rainfall, thunderstorms, solar radiation, construction sites and altitude, etc.
Eg: The Spatiotemporal Epidemiological Modeler (STEM)
-to help scientist and public health officials create and use spatial and temporal models of emerging infectious disease