This workshop will go through several key decision points related to establishing a successful Connected Medical Device program. The format will cover several key topic areas as outlined below and walk through what the decision point is, what some of the common options are, and refer to case studies on how other programs in the market have approached these decisions.
Topic areas (in no particular order)
Universal:- Defining the Problem
- It is critical to have a crystal clear understanding of what the patient and business problem being solved is in the first place. We will go through best practices in understanding how to define a problem drawn from a vast array of previous use cases.
- It is important to have a clear understanding of what problem is being solved, and how can different stakeholders like Payer(s), Provider(s) and Patient(s) get the benefit. We will go through best practices in medical IoT programs.
Technical: Assessing, choosing, managing- Connectivity Strategy
- Connectivity encompasses looking at what the wireless protocol may be, strengths and weaknesses of the myriad ways of going about the technical solution, none of which are ever perfect. The connectivity decision affects various stakeholders, we will go through how those stakeholders are affected. We will go through use cases of how we have helped others take advantage of structured and informed decision making for successful projects.
- Mobile or Gateway
- The mobile environment may encompass a non-mobile gateway, a mobile device, or a combination of the two. Gateway and the network is another important cog in the IoT system. Let us explore the challenges, solutions and limitations and impacting factors in this space.
- Cloud – Management - Security
- Cloud environments can be considered massively complex ecosystems with various levels of services. Data is the very reason an IoT system exists, how to organize the data so it can generate value. How do we protect this data across the entire system? Let us ask a few questions to further understand what works and what does not.
- Reporting & AI & Analytics
- IoT system is built to collect data. Data is valuable only when information and insights can be extracted out of it. These can be broadly
- Descriptive (Tell us what is going on),
- Diagnostic (Why something happened)
- Predictive (What is most likely to happen)
- Perspective (What could we do)
