⚕️Healthcare Executives On Generative AI

Good Morning and Happy Monday! The season of office holiday parties has begun, but we do have quite a few days before breaking for the holidays. Let’s look at what’s moving the needle in the HealthTech space.

In today’s edition, we are covering:

• Inside The Tech Revolution In Children’s Healthcare

• Where Healthcare Executives Stand On Generative AI

• Data Mining: Unveiling Tomorrow’s Cures

TOP STORY
Inside The Tech Revolution In Children’s Healthcare

• 40% of school aged children and adolescents in the US are battling with at least one chronic condition.

• Hospitalizations for children with chronic conditions have increased nationally by 33% in the past decade.

Technology is transforming pediatrics. From artificial intelligence to virtual reality, care teams are harnessing technology to tackle healthcare challenges in ways we never thought possible. Here is how one hospital is poised to revamp children’s healthcare with technology as 2024 rolls around.

Case in point: Children's Healthcare of Atlanta is gearing up for a leap into the future of pediatric healthcare with the opening of the Arthur M. Blank Hospital, a 446-bed facility, dedicated to pediatrics.

The hospital aims to enable much more complete technology integration, location awareness, automation and video capabilities than the vast majority of existing hospitals.

Here is how is technology being incorporated:

• Designing of hospital rooms to incorporate the latest patient engagement capabilities, using both mobile apps and in-room screens to support self-service and information sharing.

• Incorporation of two-way video to allow easy access to interpretive services, enable remote monitoring when needed, and foster virtual interactions between patients and their families.

• Real-time location technology to extend beyond traditional equipment locating to include staff members. This technology will not only bolster security measures but will integrate with the patient engagement system to provide valuable information about the presence of healthcare professionals in patient rooms.

• The facility will also showcase a fleet of 65 robots, with dedicated elevators for efficient mobility. These robots will be divided into backstage and front-facing roles, handling tasks such as transporting supplies, pharmacy deliveries and meal distribution.

A data driven approach to pediatric care: Pediatricians are on the front lines of all childhood medical disorders that require a solid, evidence-based foundation for understanding causes and developing and administering preventions and treatments. EHRs help to document reams of information, but generic EHR itself does nothing to liberate that data for any kind of clinical utility.

This is where specialty specific EHR for pediatrics can be a game changer. Read more about how moving away from one size fits all approach with specialty specific EHR software can be a game changer here.

NEWS IN NUMBERS
Where Healthcare Executives Stand On Generative AI

58% percent of healthcare executives said their organization will implement or acquire a generative AI solution in 2024.

• Larger organizations have already incorporated various generative AI tools from EHR vendors.

• Only 25% of healthcare executives who participated in the report said their organizations have adopted a generative AI solution.

• Healthcare executives who intend to invest in generative AI said they are primarily driven by the goal of improving efficiency.

• The most common intent is to acquire generative AI solutions aimed at improving efficiency in tasks related to documentation, patient communication and workflow.

• Accuary, cost and security were listed at the top three challenges associated with generative AI.

Read the full research report here.

ANALYSIS
Data Mining : Unveiling Tomorrow’s Cures

The data mining process identifies patterns, trends, and relationships between data. In healthcare, data mining has multiple applications and can be used for fraud detection, clinical decision-making, treatment, diagnosis, and more.

Data Mining Techniques For Healthcare

1. Clustering

2. Classification

3. Association rule mining

4. Regression analysis

5. Anamoly detection

6. Time series analysis

Read the full list in this piece that takes a deep dive into the techniques, process and applications of data mining in healthcare here.

SNIPPETS
What else is making news

• MedPAC drafted its 2025 payment update recommendations to update hospital inpatient and outpatient service Medicare payment rates by the existing law amount with an added 1.5%. MedPAC also recommended a transition to a safety net index policy, which would provide an additional $4 billion to safety net hospitals. 

• HonorHealth has started piloting virtual nursing to cover administrative tasks and help new nurses at a Phoenix hospital. The technology aimed at reducing some non healthcare duties for in-person nurses has already received improved patient experience scores.

• Resurgens Technology Partners has acquired Valant Medical, a Seattle-based provider of SaaS-based EHR and practice management software for behavioral health providers. Valant covers all the clinical, administrative, and financial needs of running a behavioral health practice.