{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:53:04Z","timestamp":1753887184292,"version":"3.41.2"},"reference-count":18,"publisher":"Walter de Gruyter GmbH","issue":"3","license":[{"start":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T00:00:00Z","timestamp":1559174400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>With an increasing older population in Germany and the need for polypharmacy to treat multimorbid patients computer-assisted decision making on an individual level is increasingly important to reduce prescription errors and adverse drug reactions. While current systems focus on guidelines and prescribing information, molecular information is equally important for explanation and discovery of drug-related problems. Based on the existing KALIS system and newer projects like PIMBase, a new concept for the KALIS-2 system is presented. Improvements to the modularisation of components enable future extension and greater maintainability. Interoperability with available electronic health records standards and protocols allows the integration and communication with existing workflows for healthcare professionals. Finally, new visualisation modes empower the user to explore and analyze the patient situation in an individual patient subgraph. For offline use and dialogue between patient and general practitioner, the results can be printed out using a new reporting tool. The adherence to findings from previous decision support systems and reasons for their failed adoption is an important task in the development of KALIS-2.<\/jats:p>","DOI":"10.1515\/jib-2019-0011","type":"journal-article","created":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T09:02:52Z","timestamp":1559206972000},"source":"Crossref","is-referenced-by-count":1,"title":["History and Future of KALIS: Towards Computer-assisted Decision Making in Prescriptive Medicine"],"prefix":"10.1515","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9846-7212","authenticated-orcid":false,"given":"Marcel","family":"Friedrichs","sequence":"first","affiliation":[{"name":"Bielefeld University, Faculty of Technology, Bioinformatics\/Medical Informatics Department , Bielefeld , Germany"}]},{"given":"Alban","family":"Shoshi","sequence":"additional","affiliation":[{"name":"Bielefeld University, Faculty of Technology, Bioinformatics\/Medical Informatics Department , Bielefeld , Germany"}]}],"member":"374","published-online":{"date-parts":[[2019,5,30]]},"reference":[{"key":"2023033120074887232_j_jib-2019-0011_ref_001_w2aab3b7b4b1b6b1ab1b7b1Aa","unstructured":"German Federal Statistical Office. 13. koordinierte Bev\u00f6lkerungsvorausberechnung. Accessed: 2019-02-10. https:\/\/service.destatis.de\/bevoelkerungspyramide."},{"key":"2023033120074887232_j_jib-2019-0011_ref_002_w2aab3b7b4b1b6b1ab1b7b2Aa","unstructured":"Grandt D, Lappe V, Schubert I. BARMER Arzneimittelreport 2018 Schriftenreihe zur Gesundheitsanalyse. BARMER; 2018."},{"key":"2023033120074887232_j_jib-2019-0011_ref_003_w2aab3b7b4b1b6b1ab1b7b3Aa","doi-asserted-by":"crossref","unstructured":"Holt S, Schmiedl S, Th\u00fcrmann PA. Potentially Inappropriate Medications in the Elderly. Dtsch Arztebl Int 2010;107(31\u201332):543\u201351.20827352","DOI":"10.3238\/arztebl.2010.0543"},{"key":"2023033120074887232_j_jib-2019-0011_ref_004_w2aab3b7b4b1b6b1ab1b7b4Aa","doi-asserted-by":"crossref","unstructured":"Wehling M. Arzneimitteltherapie im Alter: Zu viel und zu wenig, was tun? DMW \u2013 Dtsch med Wochenschr 2008;133(44):2289\u201391.10.1055\/s-0028-1091275","DOI":"10.1055\/s-0028-1091275"},{"key":"2023033120074887232_j_jib-2019-0011_ref_005_w2aab3b7b4b1b6b1ab1b7b5Aa","doi-asserted-by":"crossref","unstructured":"Renom-Guiteras A, Meyer G, Th\u00fcrmann PA. The EU(7)-PIM list: a list of potentially inappropriate medications for older people consented by experts from seven European countries. Eur J Clin Pharmacol 2015;71:861\u201375.10.1007\/s00228-015-1860-925967540","DOI":"10.1007\/s00228-015-1860-9"},{"key":"2023033120074887232_j_jib-2019-0011_ref_006_w2aab3b7b4b1b6b1ab1b7b6Aa","unstructured":"BfArM. Verkehrsf\u00e4hige Arzneimittel im Zust\u00e4ndigkeitsbereich des BfArM. Updated: 2019-01-16. https:\/\/www.bfarm.de\/DE\/Service\/Statistiken\/AM_statistik\/statistik-verkf-am-zustBfArM.html."},{"key":"2023033120074887232_j_jib-2019-0011_ref_007_w2aab3b7b4b1b6b1ab1b7b7Aa","doi-asserted-by":"crossref","unstructured":"Beeler PE, Bates DW, Hug BL. Clinical decision support systems. Swiss Med Wkly 2014.","DOI":"10.4414\/smw.2014.14073"},{"key":"2023033120074887232_j_jib-2019-0011_ref_008_w2aab3b7b4b1b6b1ab1b7b8Aa","unstructured":"ePrax GmbH. SCHOLZ Datenbank. Accessed: 2019-02-20. https:\/\/www.scholz-datenbank.de."},{"key":"2023033120074887232_j_jib-2019-0011_ref_009_w2aab3b7b4b1b6b1ab1b7b9Aa","unstructured":"ifap Service-Institut f\u00fcr \u00c4rzte und Apotheker GmbH. i:fox\u00ae. Accessed: 2019-02-20. https:\/\/www.ifap.de\/ifox\/ueberblick-ifox\/."},{"key":"2023033120074887232_j_jib-2019-0011_ref_010_w2aab3b7b4b1b6b1ab1b7c10Aa","doi-asserted-by":"crossref","unstructured":"Rieckert A, Sommerauer C, Krumeich A, S\u00f6nnichsen A. Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS study): a qualitative study of practical implementation in primary care. BMC Fam Pract 2018;19:110.10.1186\/s12875-018-0789-329986668","DOI":"10.1186\/s12875-018-0789-3"},{"key":"2023033120074887232_j_jib-2019-0011_ref_011_w2aab3b7b4b1b6b1ab1b7c11Aa","unstructured":"Shoshi A, M\u00fcller U, Shoshi A, Ogultarhan V, Hofest\u00e4dt R. KALIS \u2013 an eHealth system for biomedical risk analysis of drugs. Stud Health Technol Inform 2017;236 (Health Informatics Meets eHealth):128\u201335.28508788"},{"key":"2023033120074887232_j_jib-2019-0011_ref_012_w2aab3b7b4b1b6b1ab1b7c12Aa","doi-asserted-by":"crossref","unstructured":"Bender D, Sartipi K. HL7 FHIR: An Agile and RESTful approach to healthcare information exchange. In: Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems. IEEE; 2013.","DOI":"10.1109\/CBMS.2013.6627810"},{"key":"2023033120074887232_j_jib-2019-0011_ref_013_w2aab3b7b4b1b6b1ab1b7c13Aa","unstructured":"The openEHR Foundation. Accessed: 2019-02-10. https:\/\/www.openehr.org."},{"key":"2023033120074887232_j_jib-2019-0011_ref_014_w2aab3b7b4b1b6b1ab1b7c14Aa","unstructured":"Qualit\u00e4tsring Medizinische Software. BDT-Schnittstelle Version 3.1.0 RC. Accessed: 2019-02-10. https:\/\/www.qms-standards.de\/standards\/bdt-schnittstelle\/."},{"key":"2023033120074887232_j_jib-2019-0011_ref_015_w2aab3b7b4b1b6b1ab1b7c15Aa","unstructured":"Friedrichs M, Shoshi A, Kleine M. Data-driven assessment of potentially inappropriate medication in the elderly. Stud Health Technol Inform 2018;253 (German Medical Data Sciences: A Learning Healthcare System):125\u20139.30147056"},{"key":"2023033120074887232_j_jib-2019-0011_ref_016_w2aab3b7b4b1b6b1ab1b7c16Aa","doi-asserted-by":"crossref","unstructured":"Shoshi A, Hofest\u00e4dt R, Zolotareva O, Friedrichs M, Maier A, Ivanisenko VA, et al. GenCoNet \u2013 a graph database for the analysis of comorbidities by gene networks. J Integr Bioinform 2018;15.30864352","DOI":"10.1515\/jib-2018-0049"},{"key":"2023033120074887232_j_jib-2019-0011_ref_017_w2aab3b7b4b1b6b1ab1b7c17Aa","doi-asserted-by":"crossref","unstructured":"Moxey A, Robertson J, Newby D, Hains I, Williamson M, Pearson SA. Computerized clinical decision support for prescribing: provision does not guarantee uptake. J Am Med Inform Assoc 2010;17(1):25\u201333.2006479810.1197\/jamia.M3170","DOI":"10.1197\/jamia.M3170"},{"key":"2023033120074887232_j_jib-2019-0011_ref_018_w2aab3b7b4b1b6b1ab1b7c18Aa","unstructured":"KBV. PraxisBarometer Digitalisierung. Accessed: 2019-02-20. http:\/\/www.kbv.de\/media\/sp\/PraxisBarometer_Digitalisierung_2018.pdf."}],"container-title":["Journal of Integrative Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyter.com\/view\/journals\/jib\/16\/3\/article-20190011.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jib-2019-0011\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jib-2019-0011\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T08:26:42Z","timestamp":1680337602000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jib-2019-0011\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,30]]},"references-count":18,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,7,13]]},"published-print":{"date-parts":[[2019,9,25]]}},"alternative-id":["10.1515\/jib-2019-0011"],"URL":"https:\/\/doi.org\/10.1515\/jib-2019-0011","relation":{},"ISSN":["1613-4516"],"issn-type":[{"type":"electronic","value":"1613-4516"}],"subject":[],"published":{"date-parts":[[2019,5,30]]},"article-number":"20190011"}}