?? What is Interoperability Testing?

Good Morning. It’s world water day today which highlights the significance of freshwater and advocates for sustainable water management practices worldwide.

In the realm of health technology, this day serves as a catalyst for advancements in water quality monitoring, sanitation solutions, and the development of inclusive technologies to ensure everyone has access to clean water, thus safeguarding public health.

DEEP DIVE

Key Features To Include When Developing Healthcare Analytics Software

Healthcare analytics software plays a crucial role in driving quality improvement initiatives, population health management strategies, and value-based care initiatives.

By optimizing resource allocation, streamlining workflows, and identifying inefficiencies, analytics software helps healthcare organizations achieve substantial savings while maintaining or improving the quality of care.

• Implementation of a predictive tool for patient flow, utilizing discrete event simulation and real-time data on crowding and bed needs, led to 11.69- 18.38% reductions in boarding time, varying by hospital type.
• A big data analytics platform, called HVITAL (Hospital surVeiIlance, moniToring and ALert) was able to correctly predict 30% of intensive care unit admissions and 50% of non-intensive care unit inpatient deaths on analysing EHR and vital sign data.

Key Features To Include In Healthcare Analytics Software:

The biggest benefit of custom developing healthcare analytics software is that you can tailor it to add the features you need. Here are some of the must-have features you should consider including when developing a healthcare analytics platform for your practice.

1. Software Integrations
2. Analytics Dashboard
3. Patient Generated Data Analytics
4. Patient Outcome Analytics
5. Analytics for Hospital Operations
6. Clinical Decision Support Systems

Read more about these features and how they can increase the efficiency of your healthcare analytics software here .

PULSE POINTS Latest Breakthroughs This Week

Here’s the most important breakthroughs and advancements we spotted in the healthcare technology space this week.

• Pharmacy: Researchers and pharmacists at West Virginia University are developing AI technology to streamline medication reconciliation in hospitals, or the standard of reviewing a patient's drug regimen before discharges, an area where 85% of errors happen. The tool aims to automate reviewing patient’s post discharge summary, a task that takes between 30-50 minutes of a clinician’s time.
• Xenotransplantation: Surgeons at Massachusetts General Hospital transplanted a kidney from a CRISPR gene-edited pig into a 62-year-old. The eGenesis pigs’ genomes are altered to lack molecules that trip the human immune system. Researchers also added genes to make the organs more compatible with the human circulatory system and used CRISPR to snip out potentially dangerous viruses from the pigs' genomes.
• Neuralink: the neurotechnology company introduced 29-year-old Noland Arbaugh as the first patient to have received its brain-computer implant - telepathy, after posting a video of him playing chess on his computer.
• Patient Portals: A recent study published in JAMA Network Open found that racial and ethnic minorities experienced lower response rates from attending physicians but higher response rates from registered nurses for patient portal messages at Boston Medical Center, suggesting potential disparities in triage prioritization.
• Interoperability: CMS plans to expedite prior authorizations, through digitization and better data exchange, saving the healthcare industry $15 billion over a decade — in the hopes of one day having the decisions made instantaneously, right in the EHR. The agency recently?finalized ?the CMS Advancing Interoperability and Improving Prior Authorization Processes final rule, which both streamlines the existing prior authorization process and moves the industry towards an electronic, interoperable one.
• MedLLM: Stanford Medicine researchers have found that large language models can help draft responses to patient portal messages, reducing health care providers’ workload and alleviating burnout. In a study of the AI-generated responses, clinicians reported a reduction in everyday clerical burden and fewer feelings of burnout.
• Google’s Health AI: Google is updating and launching new healthcare AI models ranging from those that can examine medical images to a personal health coaching large language model.?Google is also trying to test its research AI system, Articulate Medical Intelligence Explorers, also known as AMIE, with a healthcare organization. The tool can help with diagnostic reasoning and conversations.?
• EHR: Epic is betting that generative artificial intelligence will be the future of healthcare. The EHR vendor is developing over 60 applications that use the technology, including a billing chatbot and tools to create denial and appeal letters and emergency department discharges.
• Clinical Documentation: Ambient technology, which records physicians and patient interactions automatically turning them into clinical notes, aims to alleviate the administrative burden of paperwork on staff. Microsoft-owned company Nuance created an ambient clinical documentation tool dubbed DAX Copilot. DAX has also been integrated into Epic's EHR system and Meditech's Expanse EHR system.

DECODER

What Is Interoperability Testing In Healthcare?

Interoperability testing typically involves assessing the compatibility, functionality, and performance of systems or components according to established interoperability standards and specifications.

This may include testing data exchange protocols, data formats, security mechanisms, and workflows to verify that information can be accurately transmitted, received, and interpreted across different systems without loss or distortion.

Read all about testing healthcare applications here .