DiRVa project brings together a multidisciplinary and internationally networked research collaboration committed to building evidence of the value of digital healthcare solutions: Aalto University’s HEMA Institute (Healthcare Engineering, Management and Architecture) together with the most innovative players in the field of healthcare digital solutions in Finland (Kustannus Oy Duodecim, Klinik Healthcare Solutions, Kaiku Health, HUS, NewIcon, CGI Finland, Lääketietokeskus and Telia)
Halminen, O., Chen, A., Tenhunen, H., & Lillrank, P. (2020). Demonstrating the value of digital health: Guidance on contextual evidence gathering for companies in different stages of maturity. Health Services Management Research.
Väljä A., Tenhunen, H., Harno, H., Mäkitie, L., Tanila, T. & Lillrank, P. (2019). From Tertiary to Primary Care – Understanding Context in the Transfer of Digital Headache Service Pathway. Stud Health Technol Inform. 2019;262:304-307.
Halminen, O., Tenhunen, H., Heliste, A. & Seppälä, T. (2019). Factors Affecting Venture Funding of Healthcare AI Companies. Stud Health Technol Inform. 2019;262:268-271.
Tenhunen, H., Hirvonen, P., Linna, M., Halminen, O. & Hörhammer, I. (2018). Intelligent Patient Flow Management System at a Primary Healthcare Center – the Effect on Service Use and Costs. Stud Health Technol Inform. 2018;255:142-146.
Lahti, L., Tenhunen, H. & Nieminen, M. How Patients Talk About Care? Identifying Patient Experience Expressions from Online Discussions. (2018). Stud Health Technol Inform. 247:116-120.
Sauli Miettinen, 2019. Value-creating mechanisms of a digital follow-up application for cancer patients
Tuomo Tanila, 2019. Value Formulation of Digital Health Technologies – A Multiple Case Study on the Implementation of an Intelligent Patient Flow Management System.
Auri Väljä, 2019. Transferring a digital health intervention into new contexts – case study of a digital headache service pathway.
Riikka Laurila, 2018. Cost-effectiveness of web-based wound care education in a healthcare organization.
ETLA Working Papers 68: Halminen, Tenhunen, Heliste and Seppälä (2019), Artificial Intelligence Applications & Venture Funding in Healthcare.
Poster, MedInfo2019: Lyly (2019), Effects of Enterprice Digital Assistants in Medication Dispensing Operations – Case HUS Pharmacy Meilahti 2014-2018.
Poster, MedInfo2019: Hiltunen, Laurila, Silander and Kuosmanen (2019), Cost-effectiveness of digital wound care education in a healthcare organization.
Poster, ICIMTH2019: Lyly (2019), Effects of Warehouse Automation in Hospital Medication Supply Chain. Case HUS Pharmacy Helsinki Finland.
Poster, ICIMTH2019: Miettinen, Riikonen, Hiltunen and Tenhunen (2019), Exploration of Mechanisms of a Digital Follow-up Application for Gynaecological Cancer Patients.
Poster, EHMA2019: Lyly, Isotalo and Tenhunen (2019), A pilot of a New Virtual Automated Medicine Dispensing System – Use Experiences and Changes in Work Flow.
Presentation, EHMA2019: Halminen, Chen and Tenhunen (2019), Developing a strategic evidence-gathering tool for digital health interventions.
Presentation, EHMA2019: Riikonen, Miettinen and Hiltunen (2019), Understanding value adding and diminishing mechanisms of a digital follow-up system for cancer patients during and after treatment.
Presentation, EHMA2019: Lyly (2019), The medicine information sources nurses and pharmacy employees use in HUS, Helsinki University Hospital, Finland.
Presentation, Tietoyhteiskunta-akatemian kesäpäivä: Tenhunen (2019), Tekoälyn vaikuttavuuden arviointi terveydenhuollossa –DiRVa-tutkimushankkeen tuloksia.
Presentation, eTerveystutkimusFoorumi: Lyly (2019), Miten digitalisoida sairaala-apteekki.
Presentation, Hoitotyön tutkimuksen 17. vuosipäivä: Lyly (2018), Lääkehoidon tukimateriaalit hoitotyön Pharmaca Fennica –verkkopalvelussa.
Abstract, Hörhammer, I., Linna, M., & Oksman, E. (2018), PO442 8-Year Follow-up of a Health Coaching Intervention Effects on Health and Social Care Service Use, Cost of Care and Clinical Endpoints. Abstraktin lähde: World Congress of Cardiology & Cardiovascular Health, Dubai, Yhdistyneet arabiemiirikunnat. https://doi.org/10.1016/j.gheart.2018.09.332
The savings generated by using artificial intelligence-based patient flow management system are a significant demonstration of AI’s capability in making healthcare more efficient.
Technology can be used, among other things, to improve the accuracy of dispensing medicines and to enhance wound care competence.
