28 Jan 2026 09:36

Parkinson & Digitale Teknologier

Kan digital teknologi revolutionere Parkinson-behandlingen? Nye wearables og digitale løsninger skyder frem i en rasende fart – fra infrarøde cueing-systemer og avancerede smartwatches til sensorer, der kan registrere motoriske og non-motoriske symptomer i realtid. Men hvad kan vi egentlig bruge dem til i klinikken?Det diskuterer Bo og Karen i dagens episode. Og ser nærmere på, hvordan wearables kan give et mere nuanceret billede af sygdommens udvikling, hvorfor nogle patienter elsker teknologien – mens andre er skeptiske – og hvordan digitale løsninger måske en dag kan hjælpe med både diagnosticering, monitorering og behandling.Værter:
  • Bo Biering-Sørensen, Overlæge, MPG Spasticitetsklinikken, Klinik for Bevægeforstyrrelser, Smerteklinikken/ CRPS klinikken, Afdeling for Hjerne- og Nervesygdomme, Rigshospitalet Glostrup.
  • Karen Østergaard, Neurolog, dr.med., Forskningsformidler v/Parkinsonforeningen, Speciallægekonsulent 
Arbejdsgruppen: Bo Biering Sørensen, Karen Østergaard, Helle Witt, Amalie Djurhuus og Michelle Gjørlund. Tilrettelæggelse, redigering & lyddesign: Anette Lilleøre og Mathias Lyhne med hjælp fra Anders Guldberg og Sissel Ørbæk. Produceret af podcast bureauet hearHEAR. Udgivet af AbbVie | DK-NEUP-250009 - | 1. version d. 7. august 2025Links & referencer: 1. Papapetropoulos SS. Patient diaries as a clinical endpoint in Parkinson’sdisease clinical trials. CNS Neurosci Ther. 2012 May;18(5):380–7.2. Hillel I et al. Is every-day walking in older adults more analogous to dual-taskwalking or to usual walking? Elucidating the gaps between gait performance inthe lab and during 24/7 monitoring. Eur Rev Aging Phys Act Off J Eur GroupRes Elder Phys Act. 2019;16:6.3. Khodakarami H et al. The Use of Data from the Parkinson’s KinetiGraph toIdentify Potential Candidates for Device Assisted Therapies. Sensors. 2019May 15;19(10):2241.4. Abbadessa G et al. Digital therapeutics in neurology. J Neurol. 2022Mar;269(3):1209–24.5. Sun YM et al. Digital biomarkers for precision diagnosis and monitoring inParkinson’s disease. NPJ Digit Med. 2024 Aug 21;7(1):2186. Janssen Daalen JM et al. Digital biomarkers for non-motor symptoms inParkinson’s disease: the state of the art. Npj Digit Med. 2024 Jul 11;7(1):186.7. di Biase L et al. Machine learning and wearable sensors for automatedParkinson's disease diagnosis aid: a systematic review. J Neurol. 2024Oct;271(10):6452-6470.8. Three neurologists from hospital clinics and three from private practice agreedto participate, providing a diverse range of perspectives. Three public healthgraduate students from Copenhagen University, CPU, conducted theinterviews.9. Rodríguez-Martín D et al. Dispositivos comerciales para la monitorización desíntomas en la enfermedad de Parkinson: beneficios, limitaciones y tendencias[Commercial devices for monitoring symptoms in10. Cox E et al. Devices for remote continuous monitoring of people withParkinson's disease: a systematic review and cost-effectiveness analysis.Health Technol Assess. 2024 Jul;28(30):1-18711. Sica M et al. Continuous home monitoring of Parkinson's disease using inertialsensors: A systematic review. PLoS One. 2021 Feb 4;16(2):e0246528.12. Lee J et al. Use of Mobile Apps for Self-care in People With Parkinson Disease:Systematic Review. JMIR Mhealth Uhealth. 2022 Jan 21;10(1):e33944. doi:10.2196/33944. PMID: 35060910; PMCID: PMC8817212.13. Yasmine M. Kehnemouyi et al. Emerging wearable technologies formultisystem monitoring and treatment of Parkinson’s disease: a narrativereview. Frontiers in Network Physiology 13 February 2024.14. Heinz Reichmann et al.The use of wearables for the diagnosis and treatment ofParkinson’s disease. Journal of Neural Transmission (2023) 130:783–79115. Chao Gao et al. Freezing of gait in Parkinson’s disease: pathophysiology, riskfactors and tre

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