Complimentary from the publisher

Complimentary from the publishers of Care Analytics News

April 2022

"AI technology has the potential to transform medicine. AI-based tools can efficiently scan massive amounts of healthcare data and identify hidden patterns. These patterns can be used to detect diseases, like cancer and dementia, at an early stage. Our data science research team is uniquely positioned to leverage this innovative technology to develop and validate tools to identify patients with unrecognized dementia or patients at high risk of developing dementia in the future."
- Yasser El-Manzalawy, Ph.D., principal investigator and assistant professor of Translational Data Science and Informatics at Geisinger

According to a recent study, the use of artificial intelligence (AI) detection tools during colonoscopy screenings decreased costs from $3,400 to $3,343 per screened individual, a savings of $57 per person. Compared to no screening, the analysis found a 44.2% relative reduction in the incidence of colorectal cancer for screening colonoscopies without AI versus 48.9% for colonoscopies with AI. Also, there was a 48.7% relative reduction in colorectal cancer mortality for screenings without AI versus 52.3% relative reduction for those with AI when compared with no screening.

Source: The Lancet Digital Health, April 13, 2022

Aike Ho: 8 Obstacles to Successful Healthcare AI Companies

1. The fragmented nature of U.S. healthcare
2. Even once the data needed is acquired, the data itself may be of poor quality and require serious cleaning.
3. Deciding which application can get venture funding
4. Getting adopted by health systems
5. Documenting and demonstrating superior clinical outcomes
6. Very few are reimbursed by insurance
7. Onboarding, training providers and administrators
8. Determining the right business model

Source: Becker's Hospital Review, April 20, 2022

check out more lists on healthsprocket . "What's on your list?"

Artificial Intelligence Applications for Healthcare

Digitization is reshaping everything. The adoption of digital technologies for healthcare is of particular significance during the Covid-19 pandemic. This transformation and increased digitalization mean that data has become crucial for science and industry. Leveraging data, in combination with the potential of AI tools, can enable better research and precision medicine.

AI Method to Predict Sepsis Mortality Outperforms Conventional Approach
Health IT Analytics, April 22, 2022

HHS sounds alarm on 'exceptionally aggressive' ransomware group
Becker's Health IT, April 20, 2022

CDC Launches New Center for Forecasting and Outbreak Analytics
Centers for Disease Control and Prevention, April 19, 2022

Using RNA to predict preterm birth
Healthcare IT News, April 19, 2022

A fundamental algorithm for health analytics
Inside Angle blog, April 19, 2022

Using Predictive Analytics to Optimize Surgical Care, Reduce OR Costs
OR Management News, April 15, 2022

HHS researching algorithm bias to improve health equity
Becker's Hospital Review, April 14, 2022

FDA says stroke-spotting AI hasn’t replaced doctors yet, urges providers to stay
FierceBiotech, April 12, 2022

How Kaiser, HCA, Geisinger + more are using AI to save lives
Becker's Hospital Review, April 11, 2022

Biases in Artificial Intelligence Led to Healthcare Disparities
Health IT Analytics, April 7, 2022

Predicting in-hospital length of stay: a two-stage modeling approach
BMC Medical Information, April 24, 2022

Machine learning approaches to predicting no-shows in pediatric appointment
NPJ Digital Medicine, April 20, 20222

Development & Validation of PMs for COVID-19 Outcomes in a Safety-net Hospital
JAMIA, abstract only, April 20, 2022

How MA Plans Use Data for Supplemental Benefits Decision-Making
The American Journal of Managed Care, April 13, 2022

Identifying Complex Patients Using Adjusted Clinical Groups Risk Stratification Tool
The American Journal of Managed Care, April 11, 2022

Combining the Use of Data Analytics & Balanced Scorecard to Enhance Healthcare
Journal of Health Management, abstract only, April 9, 2022

Predicting Avoidable Health Care Utilization: Practical Considerations for AI/ML
Mayo Clinic Proceedings, April 2022

The principles of whole-hospital PA monitoring for clinical medicine
npj Digital Medicine, March 31, 2022

Study: Neighborhood Green Space Tied to Lower Health Care Costs by Sue Rochman
Geisinger, Eisai Team Up to Study Use of Artificial Intelligence for Early Detection and Identification of Cognitive Impairment
2021 Post-Acute Care Industry Trend Report
Industry News with briefs regarding: MultiPlan; Accenture and AI4BetterHearts; Alliant and BSG Analytics; and Microsoft

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