Harvard Health Publishing (HHP) to integrate actionable health content into the Keona Care Desk Symptom Checker.
Chapel Hill, NC, April 22, 2021 – Keona Health Inc. (“Keona” or “the Company”), the Healthcare CRM and Telehealth Platform of choice will work with Harvard Health Publishing (HHP) to integrate actionable health content into the Keona Care Desk Symptom Checker. The focus is to improve patient safety in online scheduling and other digital services. Few “digital front door” services in healthcare incorporate adequate safety checks, something incorporating HHP’s content seeks to address. The Care Desk Symptom Checker guides patients through personalized and accurate recommendations using a combination of patient demographics, symptom acuity, geo-location, specialty, and even time of day.
“The convergence of medical evidence and clinical knowledge with new digital technologies and machine learning tools has the potential to improve the efficiency of patient care,” says Howard LeWine, Chief Medical Editor of Harvard Health Publishing.
Keona Care Desk is a healthcare CRM built to enhance the healthcare process. Its expert systems incorporate clinical content and advanced capabilities to reduce staff burden and improve healthcare access. The Nurse Triage module brings automation to nursing assessments, Intelligent Scheduling allows complicated healthcare schedules to be booked in only a couple clicks. Patient Self-Scheduling allows patients to book basic and complicated schedules directly from their mobile device or computer.
Harvard Health Publishing develops evidence-based and accessible health content created for lay audiences. Harvard Health Publishing’s health experts and experienced medical editors work closely with faculty at Harvard Medical School and Harvard-affiliated hospitals, to create health and wellness information on a wide range of topics.
The new effort incorporates Harvard Health Publishing’s content into a product for increased safety in scheduling, NLP Symptom Screening. Natural language tools detect slang, colloquial terms, and associates them to clinical concepts. Harvard Health Publishing’s Symptom Checker guides users through a series of questions to clarify symptom specifics and severity, and then triggers next steps, such as scheduling, getting a nurse assessment, or calling 911. The content is reviewed regularly by Harvard Medical School faculty while Keona updates the algorithms and clinical workflows to ensure proper redirection of care, patient safety, and an optimized patient experience.
“As we improve patient access we must ensure that patient safety also advances. Keona is proud to be working with Harvard Health Publishing to increase access and improve safety,” said Oakkar Oakkar, CEO of Keona Health.
Read the official press release here.
About Harvard Health Publishing
Harvard Health Publishing (HHP) is the consumer health education division of Harvard Medical School (HMS) led by Dr. David H. Roberts, Dean for External Education. Our content draws on the expertise of the physician faculty at HMS and our world-famous affiliated hospitals to provide authoritative, trustworthy, and actionable health information to our global audience.
To learn more about Harvard Health Publishing, visit Health Information and Medical Information - Harvard Health. Meet the Harvard Health experts here: Our Health Experts - Harvard Health
Natural Language Symptom Screening
Keona Health has integrated HHP symptom content into its next-generation symptom screening. On the front-end, it uses natural language processing to remove barriers of health literacy. On the back-end, instead of leaving patients to their own devices, it guides them through the next steps.
About Keona Health Inc.
Keona develops software to improve communication in the healthcare industry. The flagship product, Care Desk, a Contact Center and Patient Access platform provides best care to patients and superior tools for those who serve patients. Purpose built to provide flexibility with differing workflows, the Care Desk platform unifies data from multiple sources allowing health providers to deliver effortless, consistent and personalized service and support through a single timeline view.
