The healthcare industry is at the advent of a digital evolution, spurred by a growing community of web-enabled products and services including the Cloud, smart and connected devices, and a more health-conscious and tech-savvy population. The internet of things in healthcare segment is forecasted to exceed $115 billion by 2020. Hospitals and physician networks, health plans and payers, sensors, medical devices and wearables manufacturers, as well as regulatory and standards bodies are excited with the potential that healthcare IoT brings, but are equally concerned about the challenges in privacy, cybersecurity, data interoperability, and patient engagement that come along with it.
Cambridge Healthtech Institute's Inaugural Healthcare Internet of Things aims to bring together the different constituents and stakeholders within the value chain to participate in interactive discussion panels and deliver cases studies and pilot programs that showcase the healthcare industry's collaborative efforts toward the adoption and implementation of IoT.
Topics may include, but not limited to:
- Healthcare IoT - Toward Digitized, Value-Based Healthcare System
- How can internet of things help transform fee-for-service system to value-based healthcare system?
- How does IoT impact clinical outcomes and reduce healthcare cost?
- Establishing the business case, value and reimbursement structure
- Sensors, Devices, Standards and Interoperability
- Device management and interoperability between health systems; between FDA-grade and non-FDA grade devices; and between medical and consumer devices
- Structural vs. semantic interoperability
- Standards - FHIR/HL7v3/openEHR
- Packaging, transferring and manipulating data across systems
- Architecture for enabling interoperability
- Cybersecurity and Blockchain Technology
- FDA's published guidance on cybersecurity
- How to ensure secure encryption of data from non-regulated devices
- Blockchain technology as applied to health records and data sharing - decentralizing the healthcare network
- HIPAA and Patient Privacy
- How to integrate "non-regulated/non-covered data" with regulated medical records
- Legalities in data sharing
- Permissions and rules on data sharing
- Data Aggregation and Integration
- A data integration tool circumvents the need to wait for standards to emerge
- Developing custom interfaces between source and target devices/systems
- How are they integrating the incoming data (volume and velocity) into existing workflow/system?
- Wearables and Data/Predictive Analytics
- Continuous activity monitoring
- Software and trending algorithms to aggregate, analyze and predict events - catching early signs of heart attacks/strokes; or recording when and how a fall happened
- Making wearable devices/implantables more user-friendly, with ability to "take action" eg: change dosing
- Implementation Case Studies and Pilot Programs on:
- Acute care - cardiac
- Chronic care - opiod, diabetes, mental and behavioral, congestive heart failure
- Elderly and high-risk population health
- Fitness and maintenance care
- People, Behavior and Compliance
- How to leverage technology for patient engagement
- Delivery/connected platforms - portals, mobile devices (phones), wearables etc.
- How to create value in smart watches/Fitbit® so people use it daily/continually
- Artificial intelligence - machine learning - can learn and understand what motivates a person
* The program is subject to change without notice, due to unforeseen reason.