Today more than ever, sleep specialists can take advantage of innovative telemedicine technologies for optimal treatment of sleep disorders. In recent years, the American Academy of Sleep Medicine (AASM) has been committed to advancing the adoption of telemedicine in order to improve access to high-quality, patient-centered care. Principles and Practice of Sleep Telemedicine is the first reference of its kind to provide direction to sleep physicians on using telemedicine in clinical practice. In a single convenient volume, this new resource serves as a step-by-step guide for practitioners to effectively treat and diagnose their patients in this contemporary clinical setting. INDICE: 1. Introduction 2. Crisis-driven Changea. COVID-19b. A Sleep Center's experiencec. Government and CMS response 3. Implementation of Telemedicinea. Regulations and HIPPAb. Coding and Reimbursementc. Hardware and Softwared. Re-imagining Staff and Provider responsibilitiese. Patient education and engagementf. Supply chain - referrals, population dashboards, automated high-risk identification 4. Nuts and Bolts of Delivering Effective Telehealtha. Determining patient suitability, and informed consentb. Electronic check-in and questionnairesc. Webside Manners d. Controlled substancese. Post-visit communications and follow-upf. Patient messaging and emailsg. Tracking clinical outcomes 5. An Online History and Physical Exama. Sleep disordered breathingb. Hypersomnia and Circadian disordersc. Sleep related movement disordersd. Insomnia 6. CBTi via Telemedicine 7. Re-inventing Sleep Diagnosticsa. Sleep testing in the Home settingi. Virtual educationii. Interactive platformsiii. Synchronous provider visitsiv. Disposables and Wearablesv. Leveraging Cloud Datab. In-laboratory Sleep testingi. Who and whyc. Telemedicine strategies to improve PAP adherencei. Automation, Gamificationd. Mask fitting and Machine set-upsi. Role of DME in your practiceii. Virtual technologies 8. Fellowship and Training 9. Future of Sleep Medicinea. Care Management Emphasis b. Home monitoring and Personalized Medicinec. Machine learningi. Sleep study scoringii. Clinical decision toolsd. Artificial Intelligence
- ISBN: 978-0-323-87041-2
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 352
- Fecha Publicación: 10/07/2024
- Nº Volúmenes: 1
- Idioma: Inglés