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By agreeing to be acquired by Patient Square Capital, the healthcare improvement company hopes the new ownership structure will offer it the flexibility it needs to accelerate its IT investments and expand its services for health systems.

The Recognized Coordinating Entity said the growing national interoperability network now represents thousands of organizations and will continue to expand over the next year.

The American Hospital Association, EHR Association, Premier, WEDI and ATA have weighed in on HHS' request for comment about digital health tools for Medicare beneficiaries, and on the current state of interoperability and health IT infrastructure. 

Less than a week after a cyberattack caused the Ohio-based health system to shut down some of its care offerings, cancer patients again have access to radiotherapy treatments.

The framework explores ways to spur innovation and adoption, enable more trustworthy model development, promote access and foster AI-empowered healthcare workforces.

With automation, turnaround times are now 40-45 days – way down from 90-120, previously. And before the tools were in place, the team was credentialing eight applicants per month – now that number is 35.

AI has permeated various aspects of daily life in recent years, but its impact on healthcare has been hailed as revolutionary. Studies have predicted that by the end of 2026, 55% of healthcare organisations in Asia Pacific will have data governance frameworks that prioritise AI’s ethical and explainable use.  Such vast projected AI use in healthcare can be attributed to its active and proactive capabilities in optimising patient and health journeys.  AI capabilities in HealthTech  Active - Streamlining Medical Data Management  AI has the potential to streamline manual processes by automatically and swiftly summarising large amounts of healthcare data. Consequently, AI can assist in optimising patient journeys by automatically generating precise information regarding wait times, appointment hours, and treatment plans.   Overall, such approaches can help patients manage their expectations while alleviating their anxiety regarding future health appointments and procedures.  Proactive – Forecasting system and patient vulnerabilities  Numerous AI tools, such as machine learning algorithms and natural language processing, can help healthcare systems analyse large datasets, detect patterns, and generate actionable insights in real-time.   This feature is crucial for the cybersecurity of sensitive health data such as Electronic Medical Records (EMR). Not only can AI detect risks in real-time, but it can also forecast potential vulnerabilities and prescribe fixes.   AI-powered solutions transforming APAC healthcare  Data-based Operation and Communication Center (DOCC) PAN  The DOCC PAN is an AI-powered platform developed by South Korea's Samsung Medical Center (SMC) that employs predictive modelling. Using DOCC PAN, employees can input operational data at 30-minute intervals to estimate patient influx and reallocate staff during peak hours. In SMC's busy and crowded Blood Collecting room, implementing DOCC PAN has significantly reduced patient wait times.    “The median waiting time eventually plummeted dramatically, from a range of nine to 10 minutes to a mere four minutes,” said Oksoon Jeong, Manager, Data Service Platform, Samsung Medical Centre.  Intelligent Anti-Microbial System (i.A.M.S.)  i.A.M.S is a comprehensive antimicrobial AI platform recently implemented in China Medical University Hospital (CMUH). The four-in-one functioning platform can leverage AI to detect drug-resistant strains and predict and monitor the risk of infectious sepsis and mortality.   Since its inception, CMUH has significantly benefited from the platform's ability to automatically compare drug-drug interactions and allergy history, allowing the hospital to learn and generate smart medicine dosage recommendations.  “Three months after the system (i.A.M.S) was launched, the mortality rate due to sepsis was successfully reduced by 7.1%,” said Lu-Ching Ho, Clinical Pharmacist and CMUH HIMSS Project Group Secretary.  Digital maturity can be maximised with the right network and guidance  To attain comparable transformative digital maturity, healthcare providers must place themselves in environments that facilitate key information sharing, collaboration, and expert guidance on how to leverage AI in healthcare. The upcoming Innotech Conference is one example of such a setting.  This premier event will bring together leaders from healthcare, government, and tech sectors, along the wider medical community to discuss the future of digital healthcare transformation.   Guest of Honour, Ong Ye Kung, Singapore’s Minister of Health, will deliver a keynote address highlighting Singapore's vision for digital healthcare transformation, among other digital health developments.  Additionally, panel discussions featuring innovators and thought leaders like Tan Bin Ru, President, Enterprise Digital at ST Engineering, and healthcare futurist, Lucien Englen, will examine the use of AI-driven technology to improve healthcare systems.   Discussions at the event can inspire and empower attendees with actionable insights into AI, driving meaningful advancements that prioritise patient-centred care while assuring sustainable healthcare transformation.   The InnoTech Conference will be held on 3 September 2024 from 11.30am – 3.30pm at the Marina Bay Sands. For more event information or to register, click here. 

Also, Mater has added more specialties to its eConsultant service.

Also: OM1 now offers a platform that translates population patterns for clinical decision-making at the provider level.

The accomplishment puts the health system in a better position to attract and retain the talent that is so critical to its ability to serve its patients, says its VP of operations.