# BMI 573: Foundations of Data-driven Healthcare | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BMI_573) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 7c8257f3e1ff72281af61ca6bfb037f925bf90c408630faec1d60df392c6594a ### course id BMI 573 ### course uid course\_98adb1bc680fc75a144c80ec ### catalog version id 06eb5843b968b0b2bf253f64eaf9d5033e346b9405783290af85af45500577c4 ### course number 573 ### subjects * BMI ### title FOUNDATIONS OF DATA-DRIVEN HEALTHCARE ### description Familiarize students with basic informatics principles and techniques to support clinical research and quality improvement studies from a perspective of data-driven approaches. Content includes information systems for study design; regulatory compliance; use of electronic health records data for research; data collection and acquisition; data security, storage, transfer, processing and analysis. ### requirements text Graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 9d691fad725f2ec0690c554a874a61d9b7c362a4bf5cb3f36e3f8707097a609b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Foundations of data-driven healthcare focusing on informatics principles for clinical research and quality improvement. ### llm topics * Information systems for study design * Regulatory compliance in healthcare research * Use of electronic health records data for research * Data collection and acquisition * Data security, storage, transfer, processing and analysis ### llm skills * Support clinical research and quality improvement using data-driven approaches * Utilize electronic health records data for research purposes * Manage data collection, acquisition, security, storage, transfer, processing, and analysis ### llm assumed background None recorded. ### llm search phrases * clinical research informatics * healthcare data quality improvement * electronic health records research * data security healthcare ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 436ff3a2fe5d5dd46e2e1776edca3dfbfeeefb821e608728881f59521039d053 #### course id BMI 573 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.94 GPA, 100.0% A/AB (n=27 letter grades); Spring 2025: 3.76 GPA, 80.0% A/AB (n=25 letter grades); Spring 2026: 3.73 GPA, 93.5% A/AB (n=31 letter grades). ```json { "citations": [ { "course_id": "BMI 573", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "26fe9f68-2343-3d59-8571-c682bfafeb89", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BMI 573", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "26fe9f68-2343-3d59-8571-c682bfafeb89", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BMI 573", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "26fe9f68-2343-3d59-8571-c682bfafeb89", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_63f9b113517c02a597759955", "source": "madgrades", "source_instructor_id": "993195", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK CRAVEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 3, "quality": 4, "difficulty": 3, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2190981", "source_url": "https://www.ratemyprofessors.com/professor/2190981", "match_basis": "exact_name", "observed_at": "2026-09-07 16:20:39.862462+00:00", "courses": { "course_821f9bd2b5a7758dd5db1e18": { "review_count": 3, "quality": 4, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.7040745943883437, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.727, "graded": 955, "counts": [ 633, 183, 118, 6, 8, 2, 5 ], "sections": 160 }, "instructor_url": "/instructors/MARK_CRAVEN--instructor_63f9b113517c02a597759955" }, { "instructor_uid": "instructor_d627b64fddde400bdaf35883", "source": "madgrades", "source_instructor_id": "6240030", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ELIZABETH MCKERNAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.379, "graded": 107, "counts": [ 61, 16, 11, 3, 8, 5, 3 ], "sections": 2 }, "instructor_url": "/instructors/ELIZABETH_MCKERNAN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI 573", "course_uid": "course_98adb1bc680fc75a144c80ec", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "ELIZABETH MCKERNAN", "Mark Craven" ], "a": 13, "ab": 2, "b": 1, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "BMI 573" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI 573", "course_uid": "course_98adb1bc680fc75a144c80ec", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Mark Craven" ], "a": 24, "ab": 3, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "BMI 573" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI 573", "course_uid": "course_98adb1bc680fc75a144c80ec", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Mark Craven" ], "a": 18, "ab": 2, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 25, "source_aliases": [ "BMI 573" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BMI 573", "course_uid": "course_98adb1bc680fc75a144c80ec", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Mark Craven" ], "a": 18, "ab": 11, "b": 1, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 31, "source_aliases": [ "BMI 573" ] } ] ``` ### statistics #### gpa 3.8 #### graded 100 #### counts * 73 * 18 * 7 * 0 * 2 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_98adb1bc680fc75a144c80ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_98adb1bc680fc75a144c80ec-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_98adb1bc680fc75a144c80ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_98adb1bc680fc75a144c80ec-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_98adb1bc680fc75a144c80ec-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_98adb1bc680fc75a144c80ec-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8 #### count 100 #### university ##### size 2701 ##### gpa Percentile 57 ##### count Percentile 48 ##### median Count 104 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 13 | false | | 2.8–3.2 | 172 | false | | 3.2–3.6 | 693 | false | | 3.6–4.0 | 1823 | true | #### departments ```json [ { "subject": "BMI", "comparison": { "size": 11, "gpaPercentile": 40, "countPercentile": 100, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` ### terms #### 1234 ##### term 1234 ##### gpa 3.764705882352941 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | #### 1244 ##### term 1244 ##### gpa 3.9444444444444446 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | #### 1254 ##### term 1254 ##### gpa 3.76 ##### count 25 ##### departments | subject | comparison | | ------- | ---------- | | BMI | | #### 1264 ##### term 1264 ##### gpa 3.725806451612903 ##### count 31 ##### university ###### size 1283 ###### gpa Percentile 54 ###### count Percentile 2 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments | subject | comparison | | ------- | ---------- | | BMI | | ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 ##### BMI ###### size 11 ###### gpa 3.8294007456883064 ###### top Share 91.52910079126816 ###### count 67 #### terms ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_63f9b113517c02a597759955", "name": "MARK CRAVEN", "count": 100, "terms": [ { "term": "1234", "count": 17, "sections": 1, "gpa": 3.764705882352941 }, { "term": "1244", "count": 27, "sections": 1, "gpa": 3.9444444444444446 }, { "term": "1254", "count": 25, "sections": 1, "gpa": 3.76 }, { "term": "1264", "count": 31, "sections": 1, "gpa": 3.725806451612903 } ] }, { "uid": "instructor_d627b64fddde400bdaf35883", "name": "ELIZABETH MCKERNAN", "count": 17, "terms": [ { "term": "1234", "count": 17, "sections": 1, "gpa": 3.764705882352941 } ] } ] ``` ## following None recorded.