Technology foresight for medical device development through hybrid simulation: The ProHTA Project
“Prospective Health Technology Assessment” (ProHTA) aims to develop a platform targeting health care manufacturers and decision makers that facilitates the assessment of innovative health technologies prior to their launch. The simulation has been run for the first case study of Mobile Stroke Units...
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Veröffentlicht in: | Technological forecasting & social change 2015-08, Vol.97, p.105-114 |
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creator | Kolominsky-Rabas, Peter L. Djanatliev, Anatoli Wahlster, Philip Gantner-Bär, Marion Hofmann, Bernd German, Reinhard Sedlmayr, Martin Reinhardt, Erich Schüttler, Jürgen Kriza, Christine |
description | “Prospective Health Technology Assessment” (ProHTA) aims to develop a platform targeting health care manufacturers and decision makers that facilitates the assessment of innovative health technologies prior to their launch. The simulation has been run for the first case study of Mobile Stroke Units (MSUs). In the highly time sensitive setting of acute stroke, MSUs are an innovative approach as they aim to reduce ‘time-to-thrombolysis’.
The ProHTA approach focuses on interdisciplinary work related to forecasting with hybrid simulation consisting of system dynamics models for macro-simulation and agent-based models for micro-simulation.
Results of the simulation show that MSUs save up to 49min of time between ambulance call and therapy decision. Whereas without MSUs, only 0.2% of patients fall in the group with the most favourable time interval between 0 and 90min, up to 16.6% of patients treated in MSUs fall into this group of early onset times to thrombolysis. As a flexible and primarily quantitative decision-making tool for foresight, ProHTA adds value to existing methodologies for pre-assessing health technology at a very early stage of technology research and development. With its emphasis on strategic planning, ProHTA helps to improve the efficiency of health care delivery in different settings using hybrid simulation techniques.
•ProHTA assesses innovative health technologies prior to their launch.•We used hybrid simulation to model the use case of Mobile Stroke Units (MSUs).•MSUs are an innovation in acute stroke, aiming to reduce ‘time-to-treatment’.•Results show that MSUs save up to 49min leading to improved patient outcomes.•ProHTA's flexible, primarily quantitative modeling is a useful Foresight tool. |
doi_str_mv | 10.1016/j.techfore.2013.12.005 |
format | Article |
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The ProHTA approach focuses on interdisciplinary work related to forecasting with hybrid simulation consisting of system dynamics models for macro-simulation and agent-based models for micro-simulation.
Results of the simulation show that MSUs save up to 49min of time between ambulance call and therapy decision. Whereas without MSUs, only 0.2% of patients fall in the group with the most favourable time interval between 0 and 90min, up to 16.6% of patients treated in MSUs fall into this group of early onset times to thrombolysis. As a flexible and primarily quantitative decision-making tool for foresight, ProHTA adds value to existing methodologies for pre-assessing health technology at a very early stage of technology research and development. With its emphasis on strategic planning, ProHTA helps to improve the efficiency of health care delivery in different settings using hybrid simulation techniques.
•ProHTA assesses innovative health technologies prior to their launch.•We used hybrid simulation to model the use case of Mobile Stroke Units (MSUs).•MSUs are an innovation in acute stroke, aiming to reduce ‘time-to-treatment’.•Results show that MSUs save up to 49min leading to improved patient outcomes.•ProHTA's flexible, primarily quantitative modeling is a useful Foresight tool.</description><identifier>ISSN: 0040-1625</identifier><identifier>EISSN: 1873-5509</identifier><identifier>DOI: 10.1016/j.techfore.2013.12.005</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Assessments ; Computer simulation ; Decision making ; Decision making models ; Early technology assessment ; Foresight ; Health ; Health care ; Medical device ; Medical equipment ; Patients ; Simulation ; Stroke ; Strokes ; Studies ; Technological planning</subject><ispartof>Technological forecasting & social change, 2015-08, Vol.97, p.105-114</ispartof><rights>2013 Elsevier Inc.</rights><rights>Copyright Elsevier Science Ltd. Aug 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-c5c6293490b12d78adaca74b7f3322b6ad2d61a3c9e200b4722113033f092c83</citedby><cites>FETCH-LOGICAL-c474t-c5c6293490b12d78adaca74b7f3322b6ad2d61a3c9e200b4722113033f092c83</cites><orcidid>0000-0001-9593-8250</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0040162513003119$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,33751,65534</link.rule.ids></links><search><creatorcontrib>Kolominsky-Rabas, Peter L.</creatorcontrib><creatorcontrib>Djanatliev, Anatoli</creatorcontrib><creatorcontrib>Wahlster, Philip</creatorcontrib><creatorcontrib>Gantner-Bär, Marion</creatorcontrib><creatorcontrib>Hofmann, Bernd</creatorcontrib><creatorcontrib>German, Reinhard</creatorcontrib><creatorcontrib>Sedlmayr, Martin</creatorcontrib><creatorcontrib>Reinhardt, Erich</creatorcontrib><creatorcontrib>Schüttler, Jürgen</creatorcontrib><creatorcontrib>Kriza, Christine</creatorcontrib><creatorcontrib>On behalf of the ProHTA Project Group</creatorcontrib><title>Technology foresight for medical device development through hybrid simulation: The ProHTA Project</title><title>Technological forecasting & social change</title><description>“Prospective Health Technology Assessment” (ProHTA) aims to develop a platform targeting health care manufacturers and decision makers that facilitates the assessment of innovative health technologies prior to their launch. The simulation has been run for the first case study of Mobile Stroke Units (MSUs). In the highly time sensitive setting of acute stroke, MSUs are an innovative approach as they aim to reduce ‘time-to-thrombolysis’.
The ProHTA approach focuses on interdisciplinary work related to forecasting with hybrid simulation consisting of system dynamics models for macro-simulation and agent-based models for micro-simulation.
Results of the simulation show that MSUs save up to 49min of time between ambulance call and therapy decision. Whereas without MSUs, only 0.2% of patients fall in the group with the most favourable time interval between 0 and 90min, up to 16.6% of patients treated in MSUs fall into this group of early onset times to thrombolysis. As a flexible and primarily quantitative decision-making tool for foresight, ProHTA adds value to existing methodologies for pre-assessing health technology at a very early stage of technology research and development. With its emphasis on strategic planning, ProHTA helps to improve the efficiency of health care delivery in different settings using hybrid simulation techniques.
•ProHTA assesses innovative health technologies prior to their launch.•We used hybrid simulation to model the use case of Mobile Stroke Units (MSUs).•MSUs are an innovation in acute stroke, aiming to reduce ‘time-to-treatment’.•Results show that MSUs save up to 49min leading to improved patient outcomes.•ProHTA's flexible, primarily quantitative modeling is a useful Foresight tool.</description><subject>Assessments</subject><subject>Computer simulation</subject><subject>Decision making</subject><subject>Decision making models</subject><subject>Early technology assessment</subject><subject>Foresight</subject><subject>Health</subject><subject>Health care</subject><subject>Medical device</subject><subject>Medical equipment</subject><subject>Patients</subject><subject>Simulation</subject><subject>Stroke</subject><subject>Strokes</subject><subject>Studies</subject><subject>Technological planning</subject><issn>0040-1625</issn><issn>1873-5509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNqFkMFq3DAURUVoodO0v1AM2XRj50mypVFWDSFtAoFk4b2Q5eexjG1NJTswf1-ZaTbZZHXf4tyLdAj5QaGgQMX1UCxo-84HLBhQXlBWAFQXZEf3kudVBeoT2QGUkFPBqi_ka4wDAEi-Fzti6tSd_egPp2ybiO7QL9uVTdg6a8asxVdncQsc_XHCecmWPvj10Gf9qQmuzaKb1tEszs83Wd1j9hL8Q327xYB2-UY-d2aM-P1_XpL6931995A_Pf95vLt9ym0pyyW3lRVM8VJBQ1kr96Y11siykR3njDXCtKwV1HCrkAE0pWSMUg6cd6CY3fNL8vM8ewz-74px0ZOLFsfRzOjXqKmUwKWUgiX06h06-DXM6XGaCsWkUqB4osSZssHHGLDTx-AmE06agt7E60G_idebeE2ZTuJT8de5iOm3rw6DjtbhbJPPkHzo1ruPJv4BpGmPfg</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Kolominsky-Rabas, Peter L.</creator><creator>Djanatliev, Anatoli</creator><creator>Wahlster, Philip</creator><creator>Gantner-Bär, Marion</creator><creator>Hofmann, Bernd</creator><creator>German, Reinhard</creator><creator>Sedlmayr, Martin</creator><creator>Reinhardt, Erich</creator><creator>Schüttler, Jürgen</creator><creator>Kriza, Christine</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7U4</scope><scope>8FD</scope><scope>BHHNA</scope><scope>DWI</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>WZK</scope><orcidid>https://orcid.org/0000-0001-9593-8250</orcidid></search><sort><creationdate>20150801</creationdate><title>Technology foresight for medical device development through hybrid simulation: The ProHTA Project</title><author>Kolominsky-Rabas, Peter L. ; Djanatliev, Anatoli ; Wahlster, Philip ; Gantner-Bär, Marion ; Hofmann, Bernd ; German, Reinhard ; Sedlmayr, Martin ; Reinhardt, Erich ; Schüttler, Jürgen ; Kriza, Christine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-c5c6293490b12d78adaca74b7f3322b6ad2d61a3c9e200b4722113033f092c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Assessments</topic><topic>Computer simulation</topic><topic>Decision making</topic><topic>Decision making models</topic><topic>Early technology assessment</topic><topic>Foresight</topic><topic>Health</topic><topic>Health care</topic><topic>Medical device</topic><topic>Medical equipment</topic><topic>Patients</topic><topic>Simulation</topic><topic>Stroke</topic><topic>Strokes</topic><topic>Studies</topic><topic>Technological planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kolominsky-Rabas, Peter L.</creatorcontrib><creatorcontrib>Djanatliev, Anatoli</creatorcontrib><creatorcontrib>Wahlster, Philip</creatorcontrib><creatorcontrib>Gantner-Bär, Marion</creatorcontrib><creatorcontrib>Hofmann, Bernd</creatorcontrib><creatorcontrib>German, Reinhard</creatorcontrib><creatorcontrib>Sedlmayr, Martin</creatorcontrib><creatorcontrib>Reinhardt, Erich</creatorcontrib><creatorcontrib>Schüttler, Jürgen</creatorcontrib><creatorcontrib>Kriza, Christine</creatorcontrib><creatorcontrib>On behalf of the ProHTA Project Group</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Technology Research Database</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Technological forecasting & social change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kolominsky-Rabas, Peter L.</au><au>Djanatliev, Anatoli</au><au>Wahlster, Philip</au><au>Gantner-Bär, Marion</au><au>Hofmann, Bernd</au><au>German, Reinhard</au><au>Sedlmayr, Martin</au><au>Reinhardt, Erich</au><au>Schüttler, Jürgen</au><au>Kriza, Christine</au><aucorp>On behalf of the ProHTA Project Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Technology foresight for medical device development through hybrid simulation: The ProHTA Project</atitle><jtitle>Technological forecasting & social change</jtitle><date>2015-08-01</date><risdate>2015</risdate><volume>97</volume><spage>105</spage><epage>114</epage><pages>105-114</pages><issn>0040-1625</issn><eissn>1873-5509</eissn><abstract>“Prospective Health Technology Assessment” (ProHTA) aims to develop a platform targeting health care manufacturers and decision makers that facilitates the assessment of innovative health technologies prior to their launch. The simulation has been run for the first case study of Mobile Stroke Units (MSUs). In the highly time sensitive setting of acute stroke, MSUs are an innovative approach as they aim to reduce ‘time-to-thrombolysis’.
The ProHTA approach focuses on interdisciplinary work related to forecasting with hybrid simulation consisting of system dynamics models for macro-simulation and agent-based models for micro-simulation.
Results of the simulation show that MSUs save up to 49min of time between ambulance call and therapy decision. Whereas without MSUs, only 0.2% of patients fall in the group with the most favourable time interval between 0 and 90min, up to 16.6% of patients treated in MSUs fall into this group of early onset times to thrombolysis. As a flexible and primarily quantitative decision-making tool for foresight, ProHTA adds value to existing methodologies for pre-assessing health technology at a very early stage of technology research and development. With its emphasis on strategic planning, ProHTA helps to improve the efficiency of health care delivery in different settings using hybrid simulation techniques.
•ProHTA assesses innovative health technologies prior to their launch.•We used hybrid simulation to model the use case of Mobile Stroke Units (MSUs).•MSUs are an innovation in acute stroke, aiming to reduce ‘time-to-treatment’.•Results show that MSUs save up to 49min leading to improved patient outcomes.•ProHTA's flexible, primarily quantitative modeling is a useful Foresight tool.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.techfore.2013.12.005</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9593-8250</orcidid></addata></record> |
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subjects | Assessments Computer simulation Decision making Decision making models Early technology assessment Foresight Health Health care Medical device Medical equipment Patients Simulation Stroke Strokes Studies Technological planning |
title | Technology foresight for medical device development through hybrid simulation: The ProHTA Project |
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