Complete this form to access all content
Healthcare Analytics Strategies
Leaders in healthcare data & analytics share how data has impacted their organizations and what they’ve learned in the process.
Hear from: St. Joseph’s Healthcare Hamilton, CIHI, Nova Scotia Health Authority, MOHLTC, Ontario Long Term Care Association, Niagara Region Public Health, AHS, CAMH, and Canadian Medical Protective Association.
In Pursuit of Collaborative Medicine
Technology is driving new avenues of communication, supporting the transformation of fee-for-service healthcare into collaborative medicine.
Successful care management is contingent upon teamwork and shared decision-making between physicians, caregivers and patients. Digital health technologies that streamline communication, like interactive decision aids, mobile apps and web-based resources, are changing how physicians and patients talk about health management both inside and outside the exam room.
Data Solutions: The Best Way To Meet Today’s Growing Health Data Demands
Smartphone applications, home monitoring equipment, genomic sequencing, and social determinants of health are adding significantly to the scope of healthcare data, creating new challenges for health systems in data management and storage. Traditional on-premises data warehouses, however, don’t have the capacity or capabilities to support this new era of bigger healthcare data. Organizations must add more secure, scalable, elastic, and analytically agile cloud-based, open-platform data solutions that leverage analytics as a service (AaaS). Moving toward cloud hosting will help health systems avoid the five common challenges of on-premises data warehouses:
- Predicting future demand is difficult.
- Infrastructure scaling is lumpy and inelastic.
- Security risk mitigation is a major investment.
- Data architectures limit flexibility and are resource intensive.
Analytics expertise is misallocated.
Machine learning in Healthcare: What C-Suite Executives Must Know To Use It Effectively
Machine learning (ML) is gaining in popularity throughout healthcare. ML’s far-reaching benefits, from automating routine clinical tasks to providing visibility into which appointments are likely to no-show, make it a must-have in an industry that’s hyper focused on improving patient and operational outcomes. This executive report—co-written by Microsoft Worldwide Health and Health Catalyst—is a basic guide to training machine learning algorithms and applying machine learning models to clinical and operational use case. This report shares practical, proven techniques healthcare organizations can use to improve their performance on a range of issues.
Health Literacy is important and getting the information you need shouldn’t be hard. Download this Health Literacy Campaign to read about real life examples of how institutions are making information more accessible to the public, how effective communication is a key driver to patient safety and more
Future of Health Care
Take a look at what the future holds for Health Care. Download this 7 page special interest piece & read on for information on:
- AI and Health Care
- Population Health Challenge
- 3D Printing & Glaucoma
- Digital Tools for Holistic Care
- Eyesight Through Cell Transplantation
- Preventive care