2025 American medical information association Summit “Uniter ITMATICS DOVED INFORMATICS” for March 10 to 13 in Pittsburgh
Pittsburgh, Pennsylvania / Access Newswire / March 7, 2025 / A new research survey on black books conducted among the basis of 5,000 members of the American Medical Medical Association (AMIA) provides critical information on the current landscape, challenges and future expectations surrounding health care innovations and interoperable progress focused on AI. The results shed light on emerging investment priorities, obstacles to adoption and opportunities for transforming digital health through a wide range of health organizations, technology leaders, payers and suppliers.
This survey was carried out to assess key AI trends, automatic learning and interoperability in health care. For its total membership size, a statistically appropriate sample to reach a 95% level of confidence with an error margin of 5% is 357 respondents. Black Book has exceeded this threshold, guaranteeing 448 responses to the survey, guaranteeing high statistical confidence in the results and a solid representation of the perspectives of the industry.
Adoption of AI and automatic learning in health care
The results reveal that the adoption of AI and ML is developing, but the majority of organizations remain in the early stages of exploration or implementation:
34% Respondents have dedicated resources to Explore the initiatives of the IA / ML of corporate in 2025.
19% are Pilot of AI / ML solutions in specific health areas.
12% report AI / ML integration on a large scale in clinical workflows.
30% indicate that Their organizations do not currently use AI / ML.
The most important obstacles to the adoption of AI (respondents have selected their three main challenges) include:
Data quality problems (49%)
Lack of internal IA expertise (58%)
Regarding regulatory compliance (10%)
Integration challenges with existing IT systems (37%)
Cost uncertainties (23%)
The planned IA impact areas in health care
AMIA members have identified the most promising AI applications in the next 3 to 5 years:
42%: Fueled by AI Clinical decision support like the Top Investment Domain.
19%:: Predictive analysis for disease preventionreflecting a change to proactive care.
16%:: Personalized and precision medicine inasmuch as Key driver of improved results.
11%:: Automated medical documentation To improve the efficiency of the workflow.
9%: A-DRIEN medical imaging advanced.
Interoperability and data exchange challenges
Interoperability remains a persistent challenge in health care, respondents pointing towards standardization and data sharing obstacles:
21% quoted Lack of standardized data formats (for example, Fir adoption challenges) as the main barrier.
29% pointed DSE sellers resistance inasmuch as Significant and continuous obstacle.
30% note Silos of the internal system and fragmented data sources Make the exchange of transparent data.
11% highlighted Privacy and security prenelsreporting in progress Conformity challenges.
Adoption Pir in data interoperability
FLI (Fast Healthcare Interoperability Resources) Adoption is progressing, but large -scale implementation remains limited:
39% report Limited adoption of the Pir (1 to 25% of the data exchange supported by FHIR).
35% have Moderate Pir integration (26-50%).
Only 9% have a Fully integrated Fir ecosystem.
Most necessary interoperability improvements
To improve data interoperability and exchange, respondents highlighted the need to:
32%:: Recovery of faster and more precise patient data as the absolute priority.
21%:: AI automation AI For Reconciliation and data analysis.
47%:: Improvement of coordination between Hospitals, clinics and payers.
“AI and automatic learning are no longer theoretical – they actively heat up clinical workflows and patient care. However, innovation is a bottleneck by fragmented data ecosystems, integration obstacles and a lack of expertise ready for AI,” commented Doug Brown, founder of Black Book on the Foundings. “The future of health care depends on the rupture of these barriers and the conduct on the scale of interoperability fueled by AI. Success will come from those that go beyond increasing fixes and reinvent transparent and data-based health care.”
“For suppliers, this survey highlights the urgent need to improve the integration of AI and refine data strategies to improve clinical decision -making, workflow efficiency and results for patients. For payers, results strengthen the importance of investing in interoperability solutions to streamline care, improve data analysis and allow a predictive analysis predictive costs and analyzes. ” “.
About the search for black books
Black Book Research is an independent research firm in health care and medical IT care committed to providing an analysis of survey and independent trend of suppliers and not biased. Thanks to its rigorous methodology, Black Book provides critical information that helps health organizations and industry stakeholders to make informed decisions. By maintaining complete independence, Black Book guarantees that its research benefits the global health and medical computer science community without influence of suppliers or third parties. Visit BlackBookMarKetresearch.com
About Amia
The American Medical Medical Association (AMIA) is a leading organization dedicated to the progression of health care computer science, promoting collaboration between clinicians, researchers, data scientists and IT professionals to stimulate innovations in health care technology. For more information, visit amia.org
Contact details
Press office
search@blackbookmarketresearch.com
8008637590
SOURCE: Search for black books
Show the original press release on Access Newswire