Patent SG-11201903811S-A (SG)
Title: Extracting patient data to provide provider and patient data similarity scoring
Inventor: NAEYMI-RAD FRANK
IPC: G06Q50/00
Filed: 2017-10-30
Abstract: INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 03 May 2018 (03.05.2018) WIP0 I ill~~~~~~~~ 011101010VIIIOH olo omm olomoimionovoill (10) International Publication Number WO 2018/081703 Al PCT W O 20 18/08 17 03 Al (51) International Patent Classification: G06Q 50/00 (2012.01) (21) International Application Number: PCT/US2017/059025 (22) International Filing Date: 30 October 2017 (30.10.2017) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 15/337,923 28 October 2016 (28.10.2016) US (71) Applicant: INTELLIGENT MEDICAL OBJECTS, INC. [US/US]; 60 Revere Drive, Suite 400, Northbrook, Illinois 60062 (US). (72) Inventors: NAEYMI-RAD, Frank; 1310 St. Williams Drive, Libertyville, Illinois 60048 (US). CARDWELL, Matthew; 315 N. East Ave, Oak Park, Illinois 60302 (US). DECARO, Michael; 1706 E. Mohawk Lane, Mount Prospect, Illinois 60056 (US). PAUL, Erina; 1400 W Lin- coln Hwy Apt B6, DeKalb, Illinois 60115 (US). WANG, Yiqing; 1400 Twombly Road Apt 1735, DeKalb, Illinois 60115 (US). THOMPSON, James; 1508 Triple Crown Court, St. Charles, Illinois 60174 (US). KANTER, An- drew; 1755 Lake Cook Rd, Apt. 317, Highland Park, Illi- nois 60035 (US). (74) Agent: LINZER, John R; Quarles & Brady LLP (CHI), Attn: IP Docket, 411 E. Wisconsin Ave., Suite 2350, Mil- waukee, Wisconsin 53202-4426 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, (54) Title: EXTRACTING PATIENT DATA TO PROVIDE PROVIDER AND PATIENT DATA SIMILARITY SCORING (57) : A system and method for extracting data from an electronic 02 health record to provide provider and patient data similarity scoring includes: 1 encoding a problem list for a plurality of patients with concepts from a com- mon electronic health record ontology. In one aspect, the patients have elec- tronic health records maintained by a plurality of providers. The system and method then may parse the concepts into a plurality of clusters or categories and determining, for each of the providers, a total number of patients that have at least one problem in a cluster or category or determining, for each patient, which of the plurality of clusters or categories correspond to at least one concept encoded in the patient's problem list. The system and method then may calculate for each pair of providers or patients, a distance between the providers or patients. Parse concepts into categories and subcategories 110 Build comparison model FIG. I [Continued on next page] 104 10G 108 Identify problems on patient lists Encode patient data with common onto ogy Extract provider and patient identifiers WO 2018/081703 Al MIDEDIMOMMIDIREIHNIUMBIIMMOVOIS TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Published: — with international search report (Art. 21(3))