Project Scope |
The use cases of artificial intelligence and machine learning (AI/ML) in digital health technologies to improve healthcare through software. Understand the challenges, identify the gaps. Connect different stakeholders, share knowledge, advance in developing AI/ML in DHTs. |
| Project Statement |
|---|
DHTs are revolutionising the healthcare industry, with AI/ML playing a key role in the development of new solutions. With more applications of AI/ML in practice, from optimising workflows to improving diagnostic capabilities, the collaborations to learn from the use cases and the partnership to overcome challenges are urgently needed. |
| Project Impact |
|---|
The integrated effort to study real-world applications will ensure the emerging technologies are used effectively and in compliance. |
| Project Leads | |
|---|---|
Ying Su (Pfizer) | |
Radha Railkar (Merck) | radha_railkar@merck.com |
| Lauren White (PHUSE Project Coordinator) |
| Project Members | Organisation |
|---|---|
| Ashwin Rai | Evidera |
| Kausar Riaz Ahmed | Pfizer |
| Mike Hamdi | Pfizer |
| Munish Mehra | Tiger Medical Group |
| Nimita Limaye | International Data Corporation |
| Philip He | Data Sciences International |
| Shakti Prasanna Tirni | Docs Global |
| Stuart Malcolm | Veramed |
| Unnat Patel | AnalysisMate |
| Ying Su | Pfizer |
Objectives & Deliverables | Timelines |
|---|---|
| Identify the industry knowledge-sharing community of practice, prioritise future project topics | Q2/3 2023 |
| PHUSE/FDA CSS presentation/poster | Q3 2023 |
| Start gathering use cases | Q4 2023 |
| Quarterly Community Forums | Q1-4 2023 |
| Invited expert talks | Q1-4 2023 |
CURRENT STATUS Q2 2023 |
|---|
New project approved. Calling for volunteers. |