
Amol A Verma
Researcher
2
APPEARANCES
2
PODCASTS
012
DEC 30
JAN 6
JAN 13
JAN 20
JAN 27
FEB 3
FEB 10
FEB 17
FEB 24
MAR 3
MAR 10
MAR 17
MAR 24
MAR 31
APR 7
APR 14
APR 21
APR 28
MAY 5
MAY 12
MAY 19
MAY 26
JUN 2
JUN 9
JUN 16
JUN 23
JUN 30
JUL 7
JUL 14
JUL 21
JUL 28
AUG 4
AUG 11
AUG 18
AUG 25
SEP 1
SEP 8
SEP 15
SEP 22
SEP 29
OCT 6
OCT 13
OCT 20
OCT 27
NOV 3
NOV 10
NOV 17
NOV 24
DEC 1
DEC 8
DEC 15
DEC 22
DEC 29
JAN 5
JAN 12
JAN 19
JAN 26
FEB 2
FEB 9
FEB 16
FEB 23
MAR 2
MAR 9
MAR 16
MAR 23
MAR 30
APR 6
APR 13
APR 20
APR 27
MAY 4
MAY 11
MAY 18
MAY 25
JUN 1
JUN 8
JUN 15
JUN 22
JUN 29
JUL 6
JUL 13
JUL 20
JUL 27
AUG 3
AUG 10
AUG 17
AUG 24
AUG 31
SEP 7
SEP 14
SEP 21
SEP 28
OCT 5
OCT 12
OCT 19
Jun 23, 2026
Can AI Fix ER Wait Times?
6:34
6:40
6:54
7:04
7:19
7:25

Amol VermaGUEST
The heart and the core insight and focus of our work is that healthcare does not use data very well.

Amol VermaGUEST
We don't connect data across our healthcare organizations, and we don't use it to inform good decisions, to develop solutions that can improve the way healthcare is delivered, and to use it to enable large-scale cutting-edge research and innovation.

Amol VermaGUEST
And so we've been working for about 10 years in Ontario on a hospital research network that we named Gemini before Google showed up on the AI scene with their Gemini model.

Amol VermaGUEST
And that connects hospital data now from about 45 hospitals, that's about 60 to 70% of the patients in Ontario, and makes that available for all of those different applications, quality measurement, research, innovation in healthcare.

Amol VermaGUEST
And what Vital is doing is taking the work that we've built with Gemini and really accelerating it and scaling it larger.

Amol VermaGUEST
So essentially saying, we can connect hospital data at large scale across Canada and and we can make it much more timely and make that available so that we can support research and innovation to bring new solutions, new technologies, new investments into healthcare.
7 MINS LATER
Using AI, data analytics and federated learning to improve patient care | Utiliser l'IA, l'analyse de données et l'apprentissage fédéré pour améliorer les soins aux patients
13:18
13:35
13:41
13:48
14:03
22:48

Patricia KosseimHOST
And my question, of course, is whether this data is identifiable or is it de-identified? What form is this data when it gets dumped into the research pool that you're analyzing at Gemini?

Amol VermaGUEST
When we think about privacy risk, we try to think about layers of privacy protection.

Amol VermaGUEST
So part of it involves thinking about how we can minimize risk by reducing identifiable information within the dataset.

Amol VermaGUEST
And your office has been really helpful in, in leading and putting out some advice and guidance on how we can think about this.

Amol VermaGUEST
And so the way we do that is we receive data from hospitals that do contain patient identifiers, things like health insurance number.
9 MINS LATER

Patricia KosseimHOST
I was wondering if you can give us a couple of concrete examples of what the benefits are of a project like this.
