Andmebaas ja selle veebipõhine kasutajaliides loote geneetilise sõeluuringu analüüsiks
Date
2017
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Abstract
Bakalaureusetöö raames valmis uudne tarkvara Tervisetehnoloogiate Arenduskeskuse AS (Tervise-TAK) poolt väljatöötamisel oleva tervishoiuteenuse – geenitesti jaoks. Teenus sisaldab lapseootel naise ehk patsiendi varajast geneetilist sõeluuringut, et tuvastada loote kromosoomi võimalikke väärarenguid.Loodud tarkvara on multidistsiplinaarne, hõlmates endas patsiendi kliinilise proovi ja isikuandmete teekonda arsti kabinetist laborisse, läbi andmeanalüüsi protsesside kuni automaatse raporti genereerimiseni. Protsess lõpeb arsti teavitamisega, et geenitest on valmis ja tulemused on koondatud raportisse. Andmeanalüüsi algoritmi välja töötamine ei olnud autori ülesanne, kuid autor tegi andmeanalüüsi väljatöötajatega koostööd, et luua koos toimiva lahenduse testversioon.Tarkvara kiirendab geenitesti tulemuste jõudmist patsiendini, vähendab andmete dubleerimist ja sellest tekkivate sisestusvigade tõenäosust. Lisaks hõlbustab tarkvara geenitesti tellimist, tulemuste verifitseerimist ning on veebipõhise lahendusena tervishoiuteenuse pakkujatele hõlpsalt kasutusele võetav.Tegu on unikaalse veebirakendusega Eestis, sest töö kirjutamise hetkel tellivad tervishoiuteenuse pakkujad analoogseid geeniteste ilma tarkvaralahenduseta. Eelnevale toetudes tõstab loodud lahendus tervishoiu üldist kvaliteeti.
The main goal of this Bachelor’s thesis was to create a software solution for a soon to be available service by the Competence Centre on Health Technologies (CCHT). The service includes early genetic screening for pregnant women to identify the most common fetal chromosomal anomalies.The created software solution is multi-disciplinary, covering the entire testing procedure from biological sampling from the doctor's office to automatic report generation. Data analysis software development was not author’s responsibility, but required author’s cooperation to create a workable test version of the given solution.The web application accelerates the screening process and reduces the duplication of data and the number of errors caused by this. This solution can be easily introduced to healthcare providers as it is web-based.It is a unique solution in Estonia as at the time of the writing, no alternative software exists for such fetal screening. On this basis, this solution can heighten the Estonian health care quality.
The main goal of this Bachelor’s thesis was to create a software solution for a soon to be available service by the Competence Centre on Health Technologies (CCHT). The service includes early genetic screening for pregnant women to identify the most common fetal chromosomal anomalies.The created software solution is multi-disciplinary, covering the entire testing procedure from biological sampling from the doctor's office to automatic report generation. Data analysis software development was not author’s responsibility, but required author’s cooperation to create a workable test version of the given solution.The web application accelerates the screening process and reduces the duplication of data and the number of errors caused by this. This solution can be easily introduced to healthcare providers as it is web-based.It is a unique solution in Estonia as at the time of the writing, no alternative software exists for such fetal screening. On this basis, this solution can heighten the Estonian health care quality.