- Digitalizzazione e AI: le priorità dei CIO sono il change management e la formazione
- “프론트엔드 개발에 특히 유용”··· 앤트로픽, ‘생각 깊이’ 조절 가능한 클로드 3.7 소넷 공개
- 카스퍼스키, 호주 정부의 사용 금지 조치에 “기술 평가 없이 결정” 주장
- Questions arise about reasons why Microsoft has cancelled data center lease plans
- ‘전 세계 2위 거래소’ 바이비트서 15억 달러 암호화폐 사라져··· 북한 개입 확인
US Med-Equip eases hospital pain point with AI, RPA

“Improving operational efficiency and reducing costs — while improving the quality of care and patient experience — are major healthcare provider goals,” says Lynne Dunbrack, group vice president for public sector at IDC. “Cloud-based solutions that accelerate the process of ordering medical equipment will be attractive to healthcare organizations given the wide range of medical equipment and number of devices used across the healthcare enterprise. These critical assets need to be managed, tracked, and maintained so they are ready to use when they are needed most — to deliver high-quality patient care.”
US Med-Equip’s Marin says the solution is a win-win-win for patients, the hospital staff, and his business — and it would not have been possible without the cloud. In addition to helping healthcare systems treat and release patients most efficiently, nurses and clinicians receive a report with all invoices from service providers. Previously, staff would have to match each patient to each invoice manually and reconcile the ledger each month. This made renting medical beds tedious, sending nurses to look for easier in-house solutions.
“Number one, you create customer stickiness,” the CIO says, noting the simplicity and strong cybersecurity selling points enable growth for its own business. “You hear stories about hospitals and universities’ APIs getting hacked. This is impossible to hack and the worst thing that can happen is we lose our [rental] data instead of millions of records.”