Share:


Patient-reported measures integration into a hospital information system: bibliometric analysis and case study

    Justas Trinkūnas Affiliation
    ; Roma Puronaitė   Affiliation

Abstract

Patient-reported measures are useful in the public interest to improve the quality of care and to assess patients’ needs and priorities by helping to identify existing barriers. A bibliometric analysis was carried out to investigate the use and relevance of patient-reported measures in other countries, which showed the growth of the topic in the scientific literature and allowed the identification of the most important integration processes. Patient-reported measures have been implemented in the information system of Vilnius University Hospital Santaros Clinics and a pilot study with real patients is planned for the future to evaluate the results and propose how this system could be integrated into the Lithuanian eHealth system.


Article in Lithuanian.


Pacientų įtraukties įrankių integravimas į ligoninės informacinę sistemą: bibliometrinė analizė ir atvejo tyrimas


Santrauka


Pacientų įtraukties įrankiai yra naudingi viešajam interesui, siekiant gerinti sveikatos priežiūros kokybę ir įvertinti pacientų poreikius bei prioritetus, nes padeda nustatyti esamas kliūtis. Siekiant išsiaiškinti pacientų įtraukties įrankių naudojimą ir aktualumą kitose valstybėse, buvo atlikta bibliometrinė analizė, kuri parodė temos plėtojimąsi mokslinėje literatūroje ir leido identifikuoti svarbiausius integravimo procesus. Vilniaus universiteto ligoninės Santaros klinikų informacinėje sistemoje buvo įdiegti pacientų įtraukties įrankiai ir ateityje planuojama atlikti bandomąjį tyrimą su realiais pacientais, įvertinti rezultatus ir pasiūlyti, kaip ši sistema galėtų būti integruota į Lietuvos e. sveikatos sistemą.


Reikšminiai žodžiai: elektroniniai sveikatos įrašai, kokybė, pacientų įtraukties įrankiai, e. sveikata, bibliometrinė analizė.

Keyword : electronic health records, quality, patient-reported measures, eHealth, bibliometric analysis

How to Cite
Trinkūnas, J., & Puronaitė, R. (2022). Patient-reported measures integration into a hospital information system: bibliometric analysis and case study. Mokslas – Lietuvos Ateitis / Science – Future of Lithuania, 14. https://doi.org/10.3846/mla.2022.17092
Published in Issue
Jun 14, 2022
Abstract Views
71
PDF Downloads
41
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007

Ažukaitis, K., Černovas, A., Jankauskienė, A., Puronaitė, R., Trinkūnas, J., Vaitkevičienė, G. E. ir Jankauskienė, D. (2021). Pacientų įtraukties įrankiai sveikatos priežiūros kokybei gerinti: literatūros apžvalga. Visuomenės sveikata, 1(92), 21–34.

Bull, C., Teede, H., Watson, D., & Callander, E. J. (2022). Selecting and implementing patient-reported outcome and experience measures to assess health system performance. JAMA Health Forum, 3(4), e220326. https://doi.org/10.1001/jamahealthforum.2022.0326

Crouthamel, M., Quattrocchi, E., Watts, S., Wang, S., Berry, P., Garcia-Gancedo, L., Hamy, V., & Williams, R. E. (2018). Using a ResearchKit smartphone app to collect rheumatoid arthritis symptoms from real-world participants: Feasibility study. JMIR mHealth and uHealth, 6(9), e9656. https://doi.org/10.2196/mhealth.9656

Duman-Lubberding, S., van Uden-Kraan, C. F., Peek, N., Cuijpers, P., Leemans, C. R., & Verdonck-de Leeuw, I. M. (2015). An eHealth application in head and neck cancer survivorship care: Health care professionals’ perspectives. Journal of Medical Internet Research, 17(10), e235. https://doi.org/10.2196/jmir.4870

Fiks, A. G., DuRivage, N., Mayne, S. L., Finch, S., Ross, M. E., Giacomini, K., Suh, A., McCarn, B., Brandt, E., Karavite, D., Staton, E. W., Shone, L. P., McGoldrick, V., Noonan, K., Miller, D., Lehmann, C. U., Pace, W. D., & Grundmeier, R. W. (2016). Adoption of a portal for the primary care management of pediatric asthma: A mixed-methods implementation study. Journal of Medical Internet Research, 18(6), e172. https://doi.org/10.2196/jmir.5610

Girgis, A., Durcinoska, I., Levesque, J. V., Gerges, M., Sandell, T., Arnold, A., Delaney, G. P., & Grp, P.-C. P. (2017). eHealth system for collecting and utilizing patient Reported Outcome Measures for Personalized Treatment and Care (PROMPT-Care) among cancer patients: Mixed methods approach to evaluate feasibility and acceptability. Journal of Medical Internet Research, 19(10), e330. https://doi.org/10.2196/jmir.8360

Harle, C. A., Listhaus, A., Covarrubias, C. M., Schmidt, S. O., Mackey, S., Carek, P. J., Fillingim, R. B., & Hurley, R. W. (2016). Overcoming barriers to implementing patient-reported outcomes in an electronic health record: A case report. Journal of the American Medical Informatics Association, 23(1), 74–79. https://doi.org/10.1093/jamia/ocv085

Huber, M., Kurz, C., & Leidl, R. (2019). Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning. BMC Medical Informatics and Decision Making, 19(1), 1–13. https://doi.org/10.1186/s12911-018-0731-6

Hughes, S., & Cohen, D. (2011). Can online consumers contribute to drug knowledge? A mixed-methods comparison of consumer-generated and professionally controlled psychotropic medication information on the internet. Journal of Medical Internet Research, 13(3), e1716. https://doi.org/10.2196/jmir.1716

Kingsley, C., & Patel, S. (2017). Patient-reported outcome measures and patient-reported experience measures. BJA Education, 17(4), 137–144. https://doi.org/10.1093/bjaed/mkw060

Milieu Ltd and Time.lex. (2014). Overview of the national laws on electronic health records in the EU Member States (National Report for Lithuania). https://ec.europa.eu/health/sites/default/files/ehealth/docs/laws_lithuania_en.pdf

Reichert, M. (2011). What BPM technology can do for healthcare process support. In Conference on Artificial Intelligence in Medicine in Europe (pp. 2–13). Springer. https://doi.org/10.1007/978-3-642-22218-4_2

Servetkienė, V., Mockevičienė, B., Černovas, A. ir Jankauskienė, D. (2022). Lietuvos gyventojų patirtis, naudojantis sveikatos priežiūros paslaugomis. Visuomenės sveikata, 1(96), 40–53.

Trinkunas, J., Puronaite R., & Cernovas, A. (2021). Patient engagement system for the improvement of healthcare quality. In E. Insfran, F. González, S. Abrahão, M. Fernández, C. Barry, H. Linger, M. Lang, & C. Schneider (Eds.), Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings). Universitat Politècnica de València.

Trumpienė, A. ir Šegždienė, E. (2011). Mokslometrija: teorija, šaltiniai, metodai. Mokslo ir technikos raida, 3(2), 105–119. https://doi.org/10.3846/est.2011.09

Wintner, L. M., Giesinger, J. M., Zabernigg, A., Rumpold, G., Sztankay, M., Oberguggenberger, A. S., Gamper, E. M., & Holzner, B. (2015). Evaluation of electronic patient-reported outcome assessment with cancer patients in the hospital and at home. BMC Medical Informatics and Decision Making, 15(1), 1–10. https://doi.org/10.1186/s12911-015-0230-y

Zaslansky, R., Rothaug, J., Chapman, R. C., Backstrom, R., Brill, S., Engel, C., Fletcher, D., Fodor, L., Funk, P., Gordon, D., Komann, M., Konrad, C., Kopf, A., Leykin, Y., Pogatzki-Zahn, E., Puig, M., Rawal, N., Schwenkglenks, M., Taylor, R. S., ... Meissner, W. (2014). PAIN OUT: An international acute pain registry supporting clinicians in decision making and in quality improvement activities. Journal of Evaluation in Clinical Practice, 20(6), 1090–1098. https://doi.org/10.1111/jep.12205

Zhang, R., Burgess, E. R., Reddy, M. C., Rothrock, N. E., Bhatt, S., Rasmussen, L. V., Butt, Z., & Starren, J. B. (2019). Provider perspectives on the integration of patient-reported outcomes in an electronic health record. JAMIA Open, 2(1), 73–80. https://doi.org/10.1093/jamiaopen/ooz001