- How IoT, Edge Computing Can Impact HIT Infrastructure in 2018
- Planning for Data Backup, Recovery in Health IT Infrastructure
Scalable storage and disaster recovery infrastructure for medical images
Medical images are being produced at an increasing rate and organizations need to prepare their storage solutions for these data intensive images and make room for images in their disaster recovery solutions.
Speakers will share their strategies on how to protect imaging data in the long term. The session will cover:
- Classify unstructured data by type, importance to patient care, retention goals, and frequency of access requirements
- Evaluate multiple options including cloud-based and non-cloud-based, as part of putting together a comprehensive solution
- Compare approaches in terms of how they meet your organization's budget and service needs, and their ability to adapt to changing technology and unpredictable events
Safety and security of IoHT
The Internet of Healthcare Things (IoHT) is expected to be reviewed in several HIMSS18 sessions. The IoHT has evolved this past year and will continue to do so. Healthcare organizations are looking to utilize more IoT devices for patient monitoring and diagnostics to improve patient experiences.
These devices are connecting to the network from within and outside of the facility. They also may contain personal data from patients and staff. The session will advise organizations need to plan how they will onboard these devices securely without compromising personal data.
Transforming healthcare IT with the enterprise cloud
Many aspects of health IT infrastructure are moving to cloud. The increased number of digital tools being introduced into IT ecosystems call for a more flexible and scalable way to handle data. Cloud is increasing being used for data recovery, applications, and image storage. It allows organizations to easily add space to their solutions as they add tools and collect more data.
In this session, the speaker will advise organizations how to use the cloud to expand their IT infrastructure while cutting back costs. The session will also touch on how to improve scalability, availability and data protection, and the advantages of the public cloud.
Building a healthier future with ML and the cloud
Artificial intelligence and machine learning (ML) are being used in many aspects of health IT infrastructure, such as in improved patient behavior predictions and big data analytics. Organizations need lots of storage and computing power that can be provided by the healthcare cloud.
In this session the speaker will touch on:
- Explore how having a Cloud-first and AI-first vision is a transformation accelerator for healthcare and in advancing science
- Discover high-impact healthcare use cases that hold the most promise for the positive change across the care continuum
- Identify how your organization can think radically about exploiting the latest opportunities with Google Cloud and ML and significantly enhance business performance
The struggle in delivering smart hospitals
Smart hospitals rely on interconnected advanced technology and automation to improve patient care, clinician workflow, and overall efficiency. Smart hospitals utilize health IT infrastructure technology such as mobile devices, data analytics solutions, and cloud computing. These tools can add a lot of weight to HIT infrastructure systems.
This session will examine the critical dependency smart hospitals have on network infrastructure and the toll this advanced technology takes. The speaker will talk about what to consider and what could go wrong as organizations plan their smart hospital strategies.