Complimentary from the publisher

Complimentary from the publishers of Care Analytics News

February 2022

"AI is a prime target for bad actors because people are used to relying on AI without understanding how it gets to its answers, which makes it easier for people with bad intentions to fly below the radar. So, how do you secure these systems, especially with the need for interoperable and transportable patient data? We need to let the good guys in and keep the bad guys out."
- David Vidal, Vice Chair, SaMD Regulatory | Center for Digital Health - Data & Analytics at Mayo Clinic

A new report published by Verato and Sage Growth Partners found that 72% of respondents are “concerned” or “extremely concerned” that siloed, inaccurate patient data negatively impacts care quality and the bottom line. Further, only 14% saying that they are “extremely satisfied” with the level of accuracy they can achieve with patient identity data. This low satisfaction and confidence in the accuracy of patient data compelled the majority of executives (60%) to consider patient identity to be valuable to every function and initiative within the organization.

Source: Care Analytics News, Volume 15 Number 4, February 2022, Industry News: "Survey: Patient Identity Resolution a Top Imperative to Improve Siloed, Inaccurate Patient Data."

California Health Care Foundation: 8 Data Exchange Framework Guiding Principles

1. Advance health equity.
2. Make data available to drive decisions and outcomes.
3. Support whole-person care.
4. Promote individual data access.
5. Reinforce individual data privacy and security.
6. Establish clear and transparent terms and conditions for data collection, exchange, and use.
7. Adhere to data exchange standards.
8. Maintain accountability.

Note: From an article by John Ohanian entitled, "Data Exchange Is at the Heart of California’s Drive for Health Equity." These guidelines were developed and submitted by a Stakeholder Advisory Group to the California Health and Human Services Agency (CalHHS).

Source: California Health Care Foundation, February 24, 2022

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Real-Time Connected Healthcare Analytics on Demand

Watch this webinar to hear from HCL’s leading Healthcare Industry thought leader, Dr. Sandesh Prabhu, as well as featured Actian customer Tim Casey, CIO at Allegheny HealthChoices as they describe how to master the complexities of healthcare analytics for better patient outcomes.

Healthcare sector on alert for cyber threats in wake of Russia's invasion of Ukraine
Healthcare Dive, February 28, 2022

Responsible AI Deployment in Healthcare Requires Collaboration
Health IT Analytics, February 24, 2022

Why Developing Decision Intelligence & Support Is Crucial For AI In Healthcare
Forbes, February 22, 2022

How private healthcare data can predict diagnoses, unlock innovation
Healthcare IT News, February 17, 2022

Using Data Analytics to Enhance Telehealth Services
mHealth Intelligence, February 16, 2022

Health insurers may be using biased ML models. Here’s how to fix them
FierceHealthcare, February 8, 2022

HHS study shows fewer video visits for older patients, people of color
Healthcare IT News, February 3, 2022

U. of TX prediction model decreases COVID-19 transmission by 62%, study says
Becker's Hospital Review, February 2, 2022

GAO encourages healthcare feedback on HHS data breach reporting
Becker's Hospital Review, February 2, 2022

Healthcare data breaches hit all-time high in 2021, impacting 45M people
FierceHealthcare, February 1, 2022

Real-time data analysis in health monitoring systems: A literature review
Journal of Biomedical Informatics via ScienceDirect, abstract only, March 2022

Impact of hospital size on healthcare information system effectiveness
Journal of Management Analytics, abstract only, February 18, 2022

Early identification of patients admitted to hospital for covid-19 at risk: model
The BMJ, February 17, 2022

A predictive analytics approach for stroke prediction using ML and neural networks
Healthcare Analytics via ScienceDirect, February 15, 2022

Explainable Artificial Intelligence for Predictive Modeling in Healthcare
Journal of Healthcare Informatics Research, February 11, 2022

The downside of machine learning in health care
MIT News, February 1, 2022

Doctor Ex Machina: A Critical Assessment of the Use of AI in Health Care
The Journal of Medicine & Philosophy, abstract only, February 2022

Healthcare Costs 149% Higher for Those With Unrecognized Depression Symptoms
Lively 2021 Data Shows COVID-19 Continues to Impact Routine Healthcare Spending
Industry News: UCI Launches Institute for Precision Health
Industry News: Survey: Patient Identity Resolution a Top Imperative to Improve Siloed, Inaccurate Patient Data

In the first February edition of Care Analytics News:

Developing Fair Models in an Imperfect World: How to Deal with Bias in AI
Truveta and LexisNexis Risk Solutions Partner to Advance Health Equity and Health Research Quality
BHI’s Qualified Entity Report Confirms Inequities Contribute to Diabetes-Related Admissions
DxCG Intelligence Celebrates 25th Anniversary, Launches Version 6.0

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