You have just been appointed as the new Director of Planning for a 150 bed community hospital. As the hospital is just beginning their budget process for the coming year, your first assignment from...







You have just been appointed as the new Director of Planning for a 150 bed community hospital. As the hospital is just beginning their budget process for the coming year, your first assignment from the Administrator is to project patient days for the next year. This projection will drive a large part of the rest of the budgeting process by providing an indication of expected in-patient utilization. You have just recently completed a statistics class and you are anxious to put some of your new skills to work, especially regression modeling. You have acquired some data from two sources - 1) your own hospital performance for the past 18 years, and 2) hospital performance for 500 similiar hospitals for the immediate past year (see attached worksheets).












Specifically, you are to make a projection of in-patient days for the hospital for the year 2014 using regression analysis. Your response variable is Patient days and you must pick the best explanatory variable(s) and regression model you can. Present your model, an explanation of the model characteristics (e.g. Coefficient of Determination, model coefficients, residual analysis, etc.), and a rationale for the explanatory variable(s) and model you picked. Make sure you clearly state any assumptions you make. You may have to use knowledge from other classes





to help explain what drives hospital patient days.






Instructions Problem You have just been appointed as the new Director of Planning for a 150 bed community hospital. As the hospital is just beginning their budget process for the coming year, your first assignment from the Administrator is to project patient days for the next year. This projection will drive a large part of the rest of the budgeting process by providing an indication of expected in-patient utilization. You have just recently completed a statistics class and you are anxious to put some of your new skills to work, especially regression modeling. You have acquired some data from two sources - 1) your own hospital performance for the past 18 years, and 2) hospital performance for 500 similiar hospitals for the immediate past year (see attached worksheets). Specifically, you are to make a projection of in-patient days for the hospital for the year 2014 using regression analysis. Your response variable is Patient days and you must pick the best explanatory variable(s) and regression model you can. Present your model, an explanation of the model characteristics (e.g. Coefficient of Determination, model coefficients, residual analysis, etc.), and a rationale for the explanatory variable(s) and model you picked. Make sure you clearly state any assumptions you make. You may have to use knowledge from other classes to help explain what drives hospital patient days. Present all explanations and relevant supporting information in this spreadsheet and submit (rename file to [your last name] + "-projection"; e.g. Zoller-projection.xlsx) to the administrator (Dr. Z). The administrator is very gruff and wants the report on his desk first thing in the morning December 10. Projection explanation: Years data PeriodYearOutpatient VisitsPatient daysTotal SurgeriesER VisitsMedical StaffFTE EmployeesYearMedical Staff 1199697319251156303161233507371996350 21997102120252923441255713797021997379 31998124889260753441229383656361998365 4199984279277358630200303628251999362 52000429772909768733945042611672000426 62001113869295364872200724005272001400 7200281424296746244174964554222002455 82003132866299036871108434448812003444 920043585431212160047134512822004451 10200555995312423815214955156322005515 1120061638753153410734464734999352006499 12200766300315995378196625216692007521 1320081664263161182653580751511012008515 142009107951318856457290395295492009529 152010137694320695658225855307502010530 16201178433322142713160485335722011533 17201224229326332935128865363712012536 182013616043490712451125735415352013541 2014 Hospitals data HospitalTotal bedsOutpatient visitsInpatient daysTotal surgeriesER VisitsMedical StaffFTE EmployeesTotal Expenses 1133192816439876351510199941351$125,000,000 2197104073485269666173249801262$92,700,000 3176199421371555081231779721249$100,000,000 4176148773548319974470829651322$141,000,000 51653115363852310949402059631259$95,100,000 6200139158402849029395419551253$119,000,000 7165311960293127923335689401196$104,000,000 81893677966663815145352409361387$141,000,000 9160315832359866292237659291222$120,000,000 101823802714632315304443799161188$121,000,000 11128227106346896066333408861159$105,000,000 12183242310402656195519158701166$90,300,000 131991738686020912592284258691238$93,100,000 14194195833448218539242758651121$79,000,000 15169131182575768288316658441139$105,000,000 16181119462383009911364788351079$89,200,000 17178141498359797323210778341117$85,000,000 18133196078292127786296698341064$71,000,000 19156213460335686581364878301118$109,000,000 20176789114041011845297048251144$116,000,000 211801200475111812740290678111273$96,700,000 221791021884900513678351638111203$104,000,000 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3621733033447791684921645339603$48,700,000 3631322575420924243118145339456$40,100,000 364125382513181921293420020339427$49,600,000 36517010700739906334217551337481$46,700,000 3661339083723560651724811337569$56,800,000 3671523182825819597119030335463$41,700,000 3681045817218997391911684335443$29,400,000 3691115813220778372923095333514$47,800,000 3701138138816491531235998333471$46,900,000 3711345093536511484718367332504$37,600,000 3721355976625755225216017332433$25,100,000 3731195604319680174920189332434$32,400,000 3741274819917306262915495331460$32,300,000 37513818986235487281812881329480$31,000,000 3761283777927860291622648329477$37,600,000 3771362184134711603017429327470$36,700,000 3781345997033318505315976327414$36,700,000 3791298409030455210118731326446$31,900,000 380128226932466025180326446$57,900,000 38116515012047726347213276324519$41,800,000 3821733850533756527613669324513$49,200,000 3831251724127759146817021323443$30,100,000 38410310088419060410817905323486$42,400,000 38512717749819754330411961321433$36,200,000 3861047666618702311917055318451$32,700,000 3871386867127430847325652317445$44,900,000 3881308722421895623222463317485$37,000,000 38919916351033079472427141316592$49,900,000 3901474076634681653923427315460$50,200,000 3911152897726173396826221314447$29,700,000 3921034477619745330015718314445$38,600,000 393132112969373781164121425313438$48,000,000 39410510022120149404714551313484$34,300,000 3951006757518996267019877313421$26,900,000 3961384704121844397419011312450$34,400,000 3971009905218481429915352310457$33,200,000 39811811443821691679819620309419$43,600,000 3991165881227037210717479305409$37,700,000 400184635689184189712890305417$24,800,000 4011161466062235942208879304452$45,000,000 402122355072288939457200302420$32,700,000 4031973851750455306713022301402$30,700,000 404100478392536631969700301416$41,800,000 4051484188623410230300424$16,600,000 4061654187425891280827992298416$37,900,000 4071036143125825509929520298514$54,300,000 4081247040420019272523077297418$37,900,000 4091416276821080469313722295453$35,600,000 4101374525928992301112061292399$31,900,000 4111295556025510257250524292475$30,800,000 4121067762814635285921819292462$33,300,000 4131201952419586168513005289373$22,600,000 41410110324123888371611517288404$23,100,000 415115946747768381415716288416$28,400,000 4161207539520161262218303286363$32,000,000 4171266499325272757616092285419$42,000,000 41816645307474974609010284360$19,900,000 4191422749919310237813345284384$33,200,000 4201219569919196194528541282367$63,100,000 4211273961518957240315097282399$32,800,000 422125264991082431015373282396$24,300,000 4231263797528927349127870280477$43,400,000 4241698429432938233116342278397$34,400,000 4251067916326488540742553278437$53,200,000 4261502422932633293512886277371$20,700,000 4271165071422942249616592277403$39,600,000 4281006314619206558833493276411$43,000,000 429155230952975556039319274382$43,400,000 4301414969325751697628118274486$49,000,000 4311085208620664543921583274407$40,900,000 4321084713020049209816442273380$25,700,000 4331324314411223297120161272389$35,700,000 4341285898526088186024437271381$31,100,000 4351065152021324327116343271401$27,900,000 4361094802417102428016506270411$28,700,000 4371968249342977779976745268681$211,000,000 4381968249342977779976745268681$65,300,000 4391023701524824215516420266380$45,700,000 4401305661124970166715080265364$18,800,000 4411049889718355210112796263366$29,500,000 4421855372814993404512329261354$34,800,000 4431333819217915414414741260369$27,000,000 4441254673018094272212490259407$24,200,000 4451059290221502382416260258363$25,000,000 44613411831520528574223991258363$40,800,000 4471337628126639208711523257401$28,800,000 4481152937223165203113372257341$18,900,000 449137232621538010547262256356$24,800,000 4501163127910605352814531256352$25,100,000 4511048033130044351934935255356$24,300,000 452115300542214829278337254390$25,800,000 4531954966745050208011577253375$24,200,000 454119613623030126767291251385$29,900,000 4551168200924470455621120251398$42,700,000 4561266174116187406019891249379$27,300,000 4571214102033188146311204248310$24,700,000 4581047181817787367612733248357$25,000,000 4591783714913747314216334248393$23,700,000 46014020458378206124030247328$8,708,600 4611347011230348144614840247352$21,900,000 4621184429428727245612429245336$30,100,000 463105384027642165312846243358$20,200,000 4641184148218852307116151242366$37,000,000 4651438391734334385614451241354$46,800,000 46612731007021246311214637239396$33,500,000 46711625340187491440713486238361$48,600,000 4681246042617149233522737238378$28,900,000 4691289321422178323018901237323$40,700,000 470101316301348029647950237350$30,400,000 4711593956344646165511459234306$32,400,000 4721054258913842307216732232325$28,500,000 4731084973618332159726835231311$29,800,000 47412811186372315601983230288$7,450,809 475153307752198638944697229334$23,800,000 4761445416213120126712421229338$24,100,000 4771006357823733176114651228348$28,200,000 4781533576232102325220136227307$44,100,000 4791154953417683230413722225321$20,900,000 48010726573296104124622224280$13,900,000 4811175878426652358029630223337$33,400,000 4821321225323136191510762223309$22,400,000 483174266544696715085405222306$16,400,000 4841526205121326138010704222319$20,400,000 4851178954612639468115287221376$26,800,000 4861035180023065171319237220312$21,100,000 48715422982475005462656219280$15,600,000 488158135644027811505565216318$20,500,000 4891153244628518168110588210278$16,400,000 4901073332114512310815689206320$32,600,000 4911144343516156324922553205304$24,300,000 492109287261955418766798204264$16,900,000 4931003763229789279716609203267$20,100,000 4941007588719885237216990202310$22,100,000 4951234848114763216813506193269$20,300,000 4961003135713518189212589192313$21,700,000 49712914843386417204348191263$13,200,000 4981053507018363271315090186257$23,200,000 4991155851029102148015814185272$22,100,000 5001035435913588451828671184304$26,500,000
Dec 06, 2022
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