OPTIMIZING PATIENT PLACEMENT AND SEQUENCING IN A DYNAMIC MEDICAL SYSTEM USING A COMPLEX HEURISTIC WITH EMBEDDED MACHINE LEARNING
Techniques are described for optimizing patient placement and sequencing in dynamic medical environment. In various embodiments, a method includes receiving current state information regarding a current state of a medical facility system in real-time, including operating conditions data regarding cu...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Thomas, Bex George Day, Andrew |
| description | Techniques are described for optimizing patient placement and sequencing in dynamic medical environment. In various embodiments, a method includes receiving current state information regarding a current state of a medical facility system in real-time, including operating conditions data regarding current operating conditions of the medical facility system and patient case data regarding active patient cases and pending patient cases of the medical facility system. The method further includes forecasting future state information for the medical facility system based on the current state information using a machine learning framework, including forecasted timeline information regarding future timing of workflow events of the active patient cases and pending patient cases. The method further includes employing a heuristic-based optimization mechanism to determine optimal reactive solutions regarding patient sequencing, patient placement and resource allocation based on the current state information, the future state information, defined rules of the medical care facility system, and one or more defined optimization criteria. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2021193302A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2021193302A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2021193302A13</originalsourceid><addsrcrecordid>eNqNy70KwjAUhuEuDqLewwFnoT-T4zE5mgNJGk2C1qUUiZNooV6Al24LXoDT9w7PN88-tQts-Mr2AA4Dkw3gNAoyU6GV4OkYyYoJsAUE2Vg0LMCQZIEafOMDGYh-EgiiNk7TBRTFE_swwjMHBWR2JCVJMCgUWwJNeLLjZZnN7t1jSKvfLrL1noJQm9S_2jT03S0907uNvszLothWVV5iUf2nvknGPNE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>OPTIMIZING PATIENT PLACEMENT AND SEQUENCING IN A DYNAMIC MEDICAL SYSTEM USING A COMPLEX HEURISTIC WITH EMBEDDED MACHINE LEARNING</title><source>esp@cenet</source><creator>Thomas, Bex George ; Day, Andrew</creator><creatorcontrib>Thomas, Bex George ; Day, Andrew</creatorcontrib><description>Techniques are described for optimizing patient placement and sequencing in dynamic medical environment. In various embodiments, a method includes receiving current state information regarding a current state of a medical facility system in real-time, including operating conditions data regarding current operating conditions of the medical facility system and patient case data regarding active patient cases and pending patient cases of the medical facility system. The method further includes forecasting future state information for the medical facility system based on the current state information using a machine learning framework, including forecasted timeline information regarding future timing of workflow events of the active patient cases and pending patient cases. The method further includes employing a heuristic-based optimization mechanism to determine optimal reactive solutions regarding patient sequencing, patient placement and resource allocation based on the current state information, the future state information, defined rules of the medical care facility system, and one or more defined optimization criteria.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210624&DB=EPODOC&CC=US&NR=2021193302A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210624&DB=EPODOC&CC=US&NR=2021193302A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Thomas, Bex George</creatorcontrib><creatorcontrib>Day, Andrew</creatorcontrib><title>OPTIMIZING PATIENT PLACEMENT AND SEQUENCING IN A DYNAMIC MEDICAL SYSTEM USING A COMPLEX HEURISTIC WITH EMBEDDED MACHINE LEARNING</title><description>Techniques are described for optimizing patient placement and sequencing in dynamic medical environment. In various embodiments, a method includes receiving current state information regarding a current state of a medical facility system in real-time, including operating conditions data regarding current operating conditions of the medical facility system and patient case data regarding active patient cases and pending patient cases of the medical facility system. The method further includes forecasting future state information for the medical facility system based on the current state information using a machine learning framework, including forecasted timeline information regarding future timing of workflow events of the active patient cases and pending patient cases. The method further includes employing a heuristic-based optimization mechanism to determine optimal reactive solutions regarding patient sequencing, patient placement and resource allocation based on the current state information, the future state information, defined rules of the medical care facility system, and one or more defined optimization criteria.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNy70KwjAUhuEuDqLewwFnoT-T4zE5mgNJGk2C1qUUiZNooV6Al24LXoDT9w7PN88-tQts-Mr2AA4Dkw3gNAoyU6GV4OkYyYoJsAUE2Vg0LMCQZIEafOMDGYh-EgiiNk7TBRTFE_swwjMHBWR2JCVJMCgUWwJNeLLjZZnN7t1jSKvfLrL1noJQm9S_2jT03S0907uNvszLothWVV5iUf2nvknGPNE</recordid><startdate>20210624</startdate><enddate>20210624</enddate><creator>Thomas, Bex George</creator><creator>Day, Andrew</creator><scope>EVB</scope></search><sort><creationdate>20210624</creationdate><title>OPTIMIZING PATIENT PLACEMENT AND SEQUENCING IN A DYNAMIC MEDICAL SYSTEM USING A COMPLEX HEURISTIC WITH EMBEDDED MACHINE LEARNING</title><author>Thomas, Bex George ; Day, Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2021193302A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Thomas, Bex George</creatorcontrib><creatorcontrib>Day, Andrew</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thomas, Bex George</au><au>Day, Andrew</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>OPTIMIZING PATIENT PLACEMENT AND SEQUENCING IN A DYNAMIC MEDICAL SYSTEM USING A COMPLEX HEURISTIC WITH EMBEDDED MACHINE LEARNING</title><date>2021-06-24</date><risdate>2021</risdate><abstract>Techniques are described for optimizing patient placement and sequencing in dynamic medical environment. In various embodiments, a method includes receiving current state information regarding a current state of a medical facility system in real-time, including operating conditions data regarding current operating conditions of the medical facility system and patient case data regarding active patient cases and pending patient cases of the medical facility system. The method further includes forecasting future state information for the medical facility system based on the current state information using a machine learning framework, including forecasted timeline information regarding future timing of workflow events of the active patient cases and pending patient cases. The method further includes employing a heuristic-based optimization mechanism to determine optimal reactive solutions regarding patient sequencing, patient placement and resource allocation based on the current state information, the future state information, defined rules of the medical care facility system, and one or more defined optimization criteria.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2021193302A1 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | OPTIMIZING PATIENT PLACEMENT AND SEQUENCING IN A DYNAMIC MEDICAL SYSTEM USING A COMPLEX HEURISTIC WITH EMBEDDED MACHINE LEARNING |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T01%3A22%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Thomas,%20Bex%20George&rft.date=2021-06-24&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2021193302A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |