Clinicians such as doctors, nurses, and other healthcare workers use many healthcare technologies directly in patient care. It is important to get their opinions when designing, choosing, and using these technologies. When clinicians take part early, healthcare places can avoid problems like systems that are hard to use, interruptions in daily work, and staff not wanting to accept the new tools.
Dr. Jake O’Shea, Vice President and Chief Health Information Officer at HCA Healthcare, said that the voices of clinicians are very important when adding technology to patient care. He has experience in both medicine and information technology, showing how healthcare improves when technology choices come from real clinical work. Dr. O’Shea also said that AI tools should help human caregivers, not replace them. Clinician views help keep patient care focused on human needs instead of just technology goals.
Also, a study about smart healthcare showed that problems inside organizations often stop new technology from working well. Without support and involvement from clinicians, advanced digital systems can be used less or fail to meet their goals. For healthcare managers and IT leaders in the U.S., involving clinical teams early in projects helps make changes smoother and makes staff more ready to accept new technology.
Even though health IT is improving, many healthcare groups in the U.S. find it hard to start using new technologies widely. A study reviewing 26 research papers using the technology-organisation-environment (TOE) framework found several issues:
These challenges often happen together. For example, if clinicians do not support the change, resistance inside the organization may grow. If technology cannot adapt, clinicians may find their work disrupted.
It is important to understand these issues in the U.S., where healthcare providers face strict regulations and complicated payment systems. Investments in technology must make care more efficient, cut costs, and follow the law. Because of this, focusing on clinician input helps leaders pick technology that works well and fits real clinical work.
One area where clinician advice is especially important is in using AI-powered workflow automation. Artificial intelligence can improve healthcare by doing routine tasks, helping answer patient calls, assisting in diagnosis, and customizing care for patients. Still, it must be added carefully to be helpful and not cause more work.
At groups like HCA Healthcare, AI tools are being created and used to make work easier. For example, the MEDITECH Expanse electronic health record (EHR) system organizes data and uses advanced analysis to help coordinate patient care. Dr. O’Shea says AI should help clinicians, not replace their decisions. This keeps caregivers focused on patients, even while AI helps with data or routine communication.
Using AI for phone systems, such as those made by Simbo AI, can lower the work at medical offices by handling calls efficiently. If these systems are designed with clinician input, they understand that patient communication must be accurate and kind. Automating phone answering lets clinical and office staff spend more time on patient care and coordination.
Still, using AI also brings specific challenges. Healthcare groups must handle ethical and legal issues like:
Experts say strong rules and responsible AI policies are needed to use AI with trust. These rules help stay within the law and build trust for patients and providers.
Besides legal issues, AI needs strong computers and ongoing updates. Dr. O’Shea notes the need to balance making AI better while managing costs to run it. This matters for medical practices of different sizes, since resources and tech help vary a lot across the U.S.
Getting clinician feedback well means more than just asking for opinions; it needs planned involvement through all stages of technology projects. Healthcare leaders and IT staff can follow some best practices to make sure clinicians take part meaningfully:
Including clinician voices in technology choices helps U.S. healthcare groups have better success adopting new ways that use digital tools.
Using technology well in healthcare helps solve work problems and improve care that focuses on patients. Digital tools like better EHRs, AI decision support, and office automation are now a basic part of healthcare in the U.S.
In this setting, lessons from Dr. Jake O’Shea and recent research show that technology by itself cannot change healthcare. Systems made with clinical input perform better for patients and make staff more satisfied. Also, AI’s role is to help, not replace, caregivers, showing how technology can improve human care.
For administrators, owners, and IT managers, balancing new technology with clinician participation is a way to create healthcare that works better and is more efficient. Knowing the laws, using ethical AI, and handling organizational problems can help people accept new technology.
Simbo AI’s work on phone automation shows how designed solutions can reduce office workload while respecting clinical communication needs. By including clinician views, AI tools match the real needs and care that medical practices in the U.S. require.
As healthcare changes, the voice of clinicians stays a key part in shaping digital care systems that meet the needs of patients, healthcare workers, and organizations.
Dr. Jake O’Shea was motivated by witnessing emergency care as a college student and a personal experience with his grandmother’s critical illness, which sparked his desire to understand and enhance healthcare.
Dr. O’Shea’s career evolved from a Regional Chief Medical Information Officer to the Chief Health Information Officer, focusing on integrating technology with patient care and improving electronic health records.
AI is integrated into healthcare as a tool to aid human caregivers, with the aim of improving patient care and operational efficiencies while addressing challenges in accuracy and computing power.
The DT&I department aims to enhance patient care and streamline operations through advanced technology and data systems, focusing on creating a more efficient healthcare delivery model.
Expanse is a modernized EHR system designed to improve data standardization, clinical workflows, and coordination of care, enabling healthcare providers to spend more time with patients.
AI integration faces the challenge of evolving models for accuracy and managing significant computing power requirements while adhering to responsible AI usage policies.
Dr. O’Shea emphasizes that the clinician’s voice and clinical input should drive the integration of technology into care, ensuring patient-centric practices.
Dr. O’Shea views technology as a means to augment the capabilities of healthcare providers, improving efficiency and patient care rather than replacing human interactions.
The standard build of Expanse supports enterprise-wide consistency, enabling effective data analysis and decision-making across multiple healthcare facilities.
Dr. O’Shea advises individuals to pursue their interests actively and emphasizes the importance of a genuine passion for helping others as a fundamental driver in healthcare.
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