Micromedex clinical decision support and CareNotes® patient education content from Thomson Reuters will be integrated within the M2 Health Care Information System (HCIS).
As a result, hospitals that use the M2 HCIS will be able to seamlessly connect clinicians directly to Micromedex referential summary documents and relevant, evidence-based patient education at any point in the care process.
Micromedex clinical decision support will be delivered via InfoButton, an easy-to-implement solution that integrates within a hospital's electronic medical record system, computerized prescription order entry system, pharmacy system, or Web portal.
With quick access to abbreviated drug, disease, and lab content, along with the ability to link to more detailed clinical reference material, InfoButton supports the highest standard of care and speeds clinical decision making.
CareNotes helps healthcare information systems generate education material that is tailored for the patient and covers medications, diagnosis, procedures, and tests. With topics including diet, exercise, disease prevention, and a host of "How To" documents, CareNotes empowers patients to actively participate in their care, and also helps meet The Joint Commission and OBRA '90 patient education guidelines.
This solution enable physicians, nurses, and pharmacists to make the right clinical decisions and help their patients take a more active role in their recovery, all without disrupting their workflow.
"Integrating clinical decision support and patient education materials within the hospital information system is increasingly important to hospitals," said Kent Hargrave senior vice president at M2. "By integrating Micromedex referential content and CareNotes patient education into the M2 HIS, our customers will have direct access to comprehensive summary documents and patient education materials within their workflow, all while maintaining clinical consistency and providing patients the necessary information regarding all aspects of their care."
Predicting mood episodes with sleep data: A breakthrough for mental health care