Host
Chris Awoke
Founder & CEO, Wikrena · Data & Business Systems Strategist
Leads Wikrena, an AI and data company, and the data analytics programmes of Wikrena Institute, and will show you where healthcare work and data work meet.
Wikrena Institute · MasterclassA free career masterclass for healthcare professionalsFrom Healthcare
From Healthcare
to Data
Build the skills to start a career in Healthcare Analytics
A free 90-minute career masterclass for medical and healthcare professionals who want to understand how data analytics can expand their career opportunities.
- Date
- Sunday 18 October
- Time
- 7:00 pm WAT
- Where
- Online
- Cost
- Free
Reserve my spotStarts in 10 days
Outpatient performance
Waiting times, last 12 weeks
- Avg. wait
- 44 min
- −18%
- Readmissions
- 7.9%
- −1.2 pts
- Bed occupancy
- 86%
- +4 pts
Average wait by departmentSample data
Emergency74m
Paediatrics51m
Maternity39m
Orthopaedics33m
Insight
Monday mornings drive a third of emergency waits. One more triage nurse, 8 to 11 am.
Why this matters
You already understand healthcare.What if you could learn to understand the data behind it too?
Hospitals, health-tech companies, pharmaceutical companies, HMOs, laboratories and public health organisations generate huge amounts of data.
But collecting data isn't enough.
Someone has to turn that data into information that helps people make better decisions.
- Hospitals
- Health-tech companies
- Pharmaceutical companies
- HMOs
- Laboratories
- Public health organisations
That is where healthcare analytics comes in.
This masterclass will show you what the field looks like, where your healthcare background fits, and what you need to learn to start building a career in data analytics.
What you'll learn
By the end of the session, you'll understand
- 01What healthcare analytics actually looks like in practice
- 02The different career paths available in healthcare analytics
- 03How medical and healthcare professionals can transition into data
- 04The tools healthcare analysts use
- 05How healthcare data is turned into useful insights
- 06What skills you need to become employable
- 07How to start building a healthcare analytics portfolio
- 08The next steps you can take to begin your transition
Who is this for?
This session is for you if you're a
You don't need previous experience in data analytics.
- Doctor
- Nurse
- Pharmacist
- Medical Laboratory Scientist
- Public Health professional
- Health Administrator
- Physiotherapist
- Health-tech professional
- Medical student
- Healthcare professional interested in data
Live demonstration
You'll also see healthcare analytics in action
We'll take a real-world healthcare scenario and walk through how an analyst would approach the problem, from asking the right questions to finding insights and communicating recommendations.
- Step 1
Ask the right question
Turn a complaint into a question data can answer.
The brief
“Why are patients waiting longer in emergency, and what would bring it down?”
When?Which patients?Which staff? - Step 2
Prepare the data
Find the records, and fix what is missing or wrong.
arriveddaystagewait08:14MonTriage9609:02MonTriageNULL13:40WedDoctor3110:25MonTriage88 - Step 3
Find the pattern
Look for where, when and who the problem concentrates on.
Emergency wait by weekday
MonTueWedThuFri - Step 4
Recommend action
Say what to change, and what it should achieve.
Recommendation
Add a triage nurse on Monday mornings. Expected effect: emergency waits down by about a quarter.
Sample scenario
Meet your speakers
Learn from people who work where healthcare and data meet
Guest speaker
Samuel Ifebuche
ML Researcher & Medical Radiographer
Award-winning healthcare data researcher, working where clinical practice and machine learning meet.
What happens after the masterclass?
If you decide you want to take the next step after the masterclass, we'll also introduce you to Wikrena Academy's Professional Certificate Diploma in Data Analytics, including the Healthcare track.